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An international logistics enterprise is migrating its dispatch system to Google Cloud. The network design connects an on-premises data center to a central hub Virtual Private Cloud (VPC) using Dedicated Interconnect. The central hub VPC is peered via VPC Network Peering to three separate spoke VPCs housing isolated microservices. On-premises systems can successfully reach resources in the hub VPC, but cannot establish communication with any instances in the spoke VPCs. Which network architecture modification should you recommend to enable connectivity between on-premises systems and the spoke VPC workloads while adhering to Google Cloud routing constraints?

Migrate the environment to a Shared VPC topology where the central network project acts as the Host Project and spoke projects act as Service Projects, attaching the Dedicated Interconnect directly to the Host VPC network.

Configure custom BGP route advertisements on the central hub VPC's Cloud Router to export the subnet IP ranges of all three spoke VPC networks over the Dedicated Interconnect to on-premises routers.

Enable transitive routing flags on each VPC Network Peering connection between the central hub VPC and the spoke VPC networks.

Replace the Dedicated Interconnect connection with individual Cloud HA VPN tunnels established directly from the on-premises data center to each spoke VPC network.

Show answer & explanation

Answer: Migrate the environment to a Shared VPC topology where the central network project acts as the Host Project and spoke projects act as Service Projects, attaching the Dedicated Interconnect directly to the Host VPC network.

Answer

Google Cloud VPC Network Peering is non-transitive. Traffic arriving at a hub VPC over a Dedicated Interconnect cannot traverse peering boundaries to reach spoke VPCs. Implementing a Shared VPC architecture allows spoke projects (Service Projects) to attach their instances directly to subnets in the host VPC, enabling seamless hybrid communication over the Dedicated Interconnect without relying on transitive peering.

Step-by-Step Solution

Identify the cause of connectivity failure between on-premises networks and spoke VPCs.

Recognize that Google Cloud VPC Network Peering is strictly non-transitive, meaning traffic from on-premises over Dedicated Interconnect cannot pass through the hub VPC to reach peered spoke VPCs.

VPC Network Peering does not forward packets across multiple peering hops or between external hybrid connections and peered networks.

Evaluate alternative network topologies to support centralized hybrid connectivity across multiple projects.

Shared VPC allows a host project to share subnets across service projects, enabling workloads in different projects to reside directly within subnets attached to the shared hybrid connection.

Shared VPC eliminates the need for VPC Network Peering while providing native, non-transitive connectivity to hybrid infrastructure.

Key Concept

VPC Network Peering Non-Transitivity and Shared VPC Design

Question 242Question →

A enterprise solution architect is selecting Google Cloud storage and database services for four distinct business workloads. Match each workload requirement on the left with the most appropriate managed Google Cloud service on the right.

Click a left item, then click its matching right item

Show answer & explanation

Answer

Global payment ledger matches Cloud Spanner; IoT fleet telemetry matches Cloud Bigtable; Mobile gaming app matches Firestore in Native mode; Regulatory financial archives match Cloud Storage Archive Class with a Locked Retention Policy.

Each workload aligns strictly with GCP storage service design parameters: Cloud Spanner handles global multi-region relational ACID writes; Cloud Bigtable handles petabyte-scale time-series telemetry with HBase API compatibility; Firestore Native mode powers mobile document sync with offline caching; and Cloud Storage Archive with Bucket Lock provides compliant WORM object storage.

Step-by-Step Solution

Analyze global payment ledger workload requirements

Identified relational schema, global multi-region ACID transactions, horizontal write scaling, and 99.999% SLA.

Cloud Spanner is the only relational Google Cloud database engineered for multi-region horizontal scaling with strong global consistency and five-nines availability.

Analyze high-frequency IoT fleet telemetry requirements

Identified high write throughput, time-series access pattern, low millisecond latency, petabyte scale, and HBase API compatibility.

Cloud Bigtable is designed specifically for ultra-low latency key-value/wide-column time-series data at scale and supports HBase API interfaces.

Analyze cross-platform mobile gaming application requirements

Identified document store model, client-side offline persistence, and real-time synchronization listeners.

Firestore in Native mode natively supports live data synchronization to client devices, offline caching, and hierarchical JSON document collections.

Analyze regulatory financial audit archive requirements

Identified cold data access frequency (<1 access/year), lowest storage cost requirement, and WORM immutability compliance.

Cloud Storage Archive storage class offers the lowest cost for long-term cold object storage, while a Locked Retention Policy guarantees non-rewritable, non-deleterious WORM storage.

Key Concept

Selecting and Designing Storage and Database Resources

Estimated Time:2m 0s

Question 243Question →

A healthcare organization operating in a single Google Cloud region needs to deploy a relational database layer for its patient billing application. The system requires full ACID transactional support, standard ANSI SQL capability, automatic regional high availability failover, and data encryption using customer-managed encryption keys (CMEK) integrated with Cloud KMS. The database dataset size is expected to remain around 400 GB with moderate query volume. The architectural team wants to optimize operational efficiency and minimize cost. Which storage and database design best satisfies these business and technical requirements?

Deploy Cloud SQL for PostgreSQL configured with High Availability (regional failover) and encrypted with Customer-Managed Encryption Keys (CMEK) via Cloud KMS.

Deploy Cloud Spanner with a regional instance configuration using Google-managed encryption keys.

Deploy Cloud SQL for PostgreSQL with High Availability using Customer-Supplied Encryption Keys (CSEK) supplied at query runtime.

Deploy a Cloud Storage dual-region bucket using VPC Service Controls to host application data files and prevent exfiltration.

Show answer & explanation

Answer: Deploy Cloud SQL for PostgreSQL configured with High Availability (regional failover) and encrypted with Customer-Managed Encryption Keys (CMEK) via Cloud KMS.

Answer

Deploy Cloud SQL for PostgreSQL configured with High Availability (regional failover) and Customer-Managed Encryption Keys (CMEK) via Cloud KMS.

The correct solution uses Cloud SQL for PostgreSQL configured with High Availability (HA) and Customer-Managed Encryption Keys (CMEK). Cloud SQL supports standard ANSI SQL and ACID transactions for single-region relational workloads up to 64 TB. Configuring HA provides regional zero-data-loss synchronous replication across zones with automatic failover, and Cloud KMS integration provides CMEK encryption compliance.

Step-by-Step Solution

Evaluate workload data model and scale requirements

The application requires an ACID-compliant relational database with standard ANSI SQL support for a 400 GB single-region dataset.

Cloud SQL easily scales up to tens of terabytes in a single region, making it appropriate for 400 GB without needing globally distributed databases like Cloud Spanner.

Evaluate availability and security governance constraints

Regional HA and Cloud KMS CMEK integration must be enabled.

Cloud SQL supports automated regional failover across primary and standby zones and natively integrates with Cloud KMS for customer-managed key encryption.

Select the optimal database architecture

Cloud SQL for PostgreSQL with HA and CMEK satisfies all technical requirements while remaining cost-effective.

This combination fulfills compliance and availability requirements without incurring the management and cost overhead of Spanner or improper storage services.

Key Concept

Relational Database Selection (Cloud SQL vs. Cloud Spanner) and Security Governance

Question 244Question →

A enterprise solution architect is designing the storage and database architecture for a multi-service cloud platform on Google Cloud. Match each technical application workload requirement on the left with the optimal Google Cloud database or storage service on the right that best satisfies the access pattern, consistency, and operational criteria.

Click a left item, then click its matching right item

Show answer & explanation

Answer

Global order processing maps to Cloud Spanner; Ad-tech user feature store maps to Cloud Bigtable; Cross-platform client app maps to Firestore; Centralized immutable telemetry ingest bucket maps to Cloud Storage.

Each requirement strictly aligns with the core architecture parameters of the matching GCP product: Cloud Spanner for global multi-region relational ACID transactions, Cloud Bigtable for ultra-low latency key-value high-throughput operations, Firestore for real-time mobile document sync, and Cloud Storage for blob objects with lifecycle management policies.

Step-by-Step Solution

Analyze requirement 1 (Global order processing)

Identified requirement for multi-region ACID transactions, strong consistency, ANSI SQL, and seamless horizontal scaling.

Cloud Spanner is the only relational database service offering global multi-region ACID consistency with zero-downtime horizontal scaling.

Analyze requirement 2 (Ad-tech feature store)

Identified low latency (single-digit ms), high throughput key-value / row-key lookup requirements.

Cloud Bigtable excels at scalable NoSQL wide-column key-value workloads demanding consistent sub-10ms performance.

Analyze requirement 3 (Client mobile app)

Identified document model, real-time listeners, and client-side offline sync functionality.

Firestore provides built-in client libraries for mobile/web offline data synchronization and real-time document listeners.

Analyze requirement 4 (Immutable telemetry ingest)

Identified requirement for unstructured blob storage and object lifecycle class transitions.

Cloud Storage is designed for unstructured object data and natively supports automated lifecycle management for cost efficiency.

Key Concept

Matching workload access patterns, consistency requirements, and scale demands to appropriate GCP database and storage products.

Question 245Question →

An IoT telematics provider is designing a storage layer in a single Google Cloud region to ingest and store real-time sensor metrics from 100,000 connected vehicles. The system requires high-throughput write performance exceeding 80,000 operations per second with sub-10 millisecond write latencies, dynamic key-value access patterns, and seamless analytical querying capabilities in BigQuery without custom ETL pipelines. Which Google Cloud storage solution should the cloud architect select to satisfy these operational and analytical requirements at scale?

Provision a Cloud Bigtable cluster and configure BigQuery federated queries to analyze the data in place.

Deploy a multi-region Cloud Spanner instance with strong global consistency to store the incoming sensor streams.

Provision a Cloud SQL for PostgreSQL instance encrypted with Customer-Supplied Encryption Keys (CSEK) for key management.

Store incoming telemetry data directly as JSON objects in Cloud Storage using IAM granular policies for access restriction.

Show answer & explanation

Answer: Provision a Cloud Bigtable cluster and configure BigQuery federated queries to analyze the data in place.

Answer

Cloud Bigtable with BigQuery federated querying is the optimal choice for high-throughput, low-latency time-series telemetry data.

Cloud Bigtable is Google Cloud's managed NoSQL wide-column database built specifically for high-throughput, low-latency workloads such as IoT sensor telematics. It easily scales horizontally to handle over 80,000 operations per second with single-digit millisecond latency. Furthermore, BigQuery can natively execute federated queries against Cloud Bigtable tables, enabling real-time analytics without needing an intermediate ETL data pipeline.

Step-by-Step Solution

Analyze workload write throughput and latency requirements

Identified a single-region workload requiring >80,000 writes/sec at <10ms latency for unstructured/key-value time-series data.

Matching write scale and latency bounds narrows candidate database engines to high-performance NoSQL engines.

Evaluate candidate storage engines against the access pattern

Cloud Bigtable provides seamless horizontal scaling for high-frequency key-value and time-series telemetry writes.

Relational databases like Cloud SQL cannot sustain this write volume without sharding, while Cloud Spanner is built for multi-region relational ACID workloads rather than single-region key-value metrics.

Verify analytics integration requirement

BigQuery can query Cloud Bigtable directly via external tables without running complex ETL pipelines.

Meets the requirement for immediate analytical access without building custom data movement pipelines.

Key Concept

Selecting Cloud Bigtable for high-throughput NoSQL time-series workloads and leveraging BigQuery federation for analytics.

Estimated Time:2m 0s

Question 246Question →

A global fintech enterprise is designing its cloud architecture on Google Cloud for a mission-critical order execution platform. The solution requires a relational database capable of handling high-frequency transactional writes with multi-region strong consistency and 99.999% availability SLA. Additionally, the architecture must connect the on-premises trading engine to Google Cloud via a low-latency, dedicated private connection requiring 20 Gbps of bandwidth with high availability. Which TWO architectural decisions should the cloud architect make to satisfy these technical requirements? (Select TWO.)

Select all that apply

Deploy multi-region Cloud Spanner database instances to support globally consistent, highly available transactional workloads.

Provision redundant Dedicated Interconnect connections at two distinct edge facilities to establish high-throughput, low-latency hybrid connectivity.

Provision an HA Cloud VPN gateway with multiple active-active IPsec tunnels to aggregate throughput for the 20 Gbps on-premises connection.

Deploy a Cloud SQL for PostgreSQL primary instance with cross-region read replicas to handle multi-region synchronous transactional writes.

Deploy Google Kubernetes Engine (GKE) clusters with single-zone nodepools and manual failover scripts to minimize control plane cost and operational complexity.

Show answer & explanation

Answer: Deploy multi-region Cloud Spanner database instances to support globally consistent, highly available transactional workloads.; Provision redundant Dedicated Interconnect connections at two distinct edge facilities to establish high-throughput, low-latency hybrid connectivity.

Answer

The platform requires deploying multi-region Cloud Spanner instances for globally consistent relational transactions and provisioning redundant Dedicated Interconnect links to meet the 20 Gbps hybrid throughput requirement.

Cloud Spanner satisfies the multi-region relational database requirement with strong consistency and 99.999% SLA. Dedicated Interconnect provides the required 20 Gbps high-bandwidth, low-latency connection between on-premises datacenters and Google Cloud.

Step-by-Step Solution

Analyze database requirements

Identify need for relational transactions, global strong consistency, and 99.999% availability SLA.

Cloud Spanner is the native GCP managed relational database that scales horizontally across regions while maintaining strong consistency and 99.999% availability.

Analyze connectivity and bandwidth requirements

Identify 20 Gbps private hybrid bandwidth requirement with low latency and high redundancy.

HA Cloud VPN is limited to 3 Gbps per tunnel. Dedicated Interconnect supports 10 Gbps or 100 Gbps circuits and is designed for high-capacity, low-latency hybrid infrastructure.

Key Concept

Designing multi-region high availability architectures using Cloud Spanner for globally consistent data and Dedicated Interconnect for high-bandwidth hybrid networking.

Question 247Question →

An energy utility company is designing a high-availability architecture on Google Cloud for a stateless REST API that ingests real-time smart grid telemetry. The solution requires multi-zone high availability within a primary region, an RTO of under 1 minute, and an RPO of 0 for standard relational transactional data. The peak bandwidth requirement for hybrid connectivity from their on-premises data center to Google Cloud is 1.5 Gbps. Which architecture satisfies these technical and availability requirements while minimizing operational overhead and cost?

Deploy the stateless REST API on Cloud Run backed by a Regional External Application Load Balancer, store relational data in Cloud SQL configured with High Availability (regional failover with synchronous replication), and establish HA VPN for hybrid connectivity.

Deploy the stateless REST API on a regional Google Kubernetes Engine (GKE) cluster, store relational data in Cloud SQL configured with High Availability, and establish HA VPN for hybrid connectivity.

Deploy the stateless REST API on Cloud Run, store relational data in a multi-region Cloud Spanner instance, and establish HA VPN for hybrid connectivity.

Deploy the stateless REST API on Cloud Run, store relational data in Cloud SQL configured with High Availability, and provision a Dedicated Interconnect connection as the minimum required connectivity.

Show answer & explanation

Answer: Deploy the stateless REST API on Cloud Run backed by a Regional External Application Load Balancer, store relational data in Cloud SQL configured with High Availability (regional failover with synchronous replication), and establish HA VPN for hybrid connectivity.

Answer

The combination of Cloud Run, Cloud SQL High Availability, and HA VPN addresses all technical requirements precisely. Cloud Run handles stateless API workloads without node or cluster maintenance overhead. Cloud SQL in HA mode provides synchronous persistent disk replication across zones in the same region, ensuring zero data loss (RPO = 0) and rapid automatic failover (RTO under 1 minute). HA VPN supports up to 3 Gbps per tunnel, fulfilling the 1.5 Gbps hybrid bandwidth requirement with minimal cost and setup effort.

Step-by-Step Solution

Evaluate compute requirements for the stateless REST API

Cloud Run provides automatic scaling and zero cluster operational management for stateless microservices.

GKE adds unnecessary cluster configuration and operational overhead for pure stateless HTTP workloads.

Evaluate database high availability and recovery requirements

Cloud SQL HA uses synchronous replication across zones in a single region to achieve sub-minute failover (RTO < 1 min) and zero data loss (RPO = 0).

Cloud Spanner is designed for global scale across multiple regions and is over-engineered for single-region relational requirements.

Evaluate throughput requirements for hybrid connectivity

HA VPN supports up to 3 Gbps per tunnel, meeting the 1.5 Gbps requirement cost-effectively.

Dedicated Interconnect requires 10 Gbps / 100 Gbps circuits, which is unnecessary for a 1.5 Gbps workload.

Key Concept

Designing right-sized high availability infrastructure matching RTO/RPO and throughput constraints while minimizing operational complexity

Question 248Question →

An international logistics enterprise is architecting a data tier on Google Cloud to manage two distinct operational workloads:

1. A transactional core order management database requiring multi-region relational ACID compliance, horizontal scaling for write operations, and strong consistency across multiple continents.
2. A telemetry ingestion engine recording millions of real-time GPS and temperature sensor data points per second, requiring high-throughput, low-latency time-series key-value storage.

Which TWO storage and database services should the cloud architect select to satisfy these architecture requirements? (Select TWO answers.)

Select all that apply

Cloud Spanner for the order management database workload

Cloud Bigtable for the telemetry ingestion workload

Cloud SQL for PostgreSQL with cross-region read replicas for the order management database workload

Transfer Appliance for continuous real-time telemetry ingestion storage

Show answer & explanation

Answer: Cloud Spanner for the order management database workload; Cloud Bigtable for the telemetry ingestion workload

Answer

Cloud Spanner should be selected for the globally distributed transactional order management workload, and Cloud Bigtable should be selected for the high-throughput time-series sensor telemetry ingestion workload.

Cloud Spanner satisfies the global order management requirement because it offers multi-region relational storage, global ACID compliance, and horizontal scaling. Cloud Bigtable satisfies the telemetry requirement because it handles massive high-throughput time-series key-value workloads with millisecond latencies.

Step-by-Step Solution

Analyze the relational transactional requirements.

The transactional workload requires multi-region relational ACID compliance, global strong consistency, and horizontal write scalability.

Cloud Spanner is the only native GCP database service capable of global relational ACID transactions with horizontal write scaling.

Analyze the telemetry streaming requirements.

The telemetry ingestion workload requires storing millions of time-series key-value readings per second at low latency.

Cloud Bigtable is designed specifically for high-volume NoSQL time-series telemetry data with continuous high-write throughput.

Evaluate and eliminate invalid storage options.

Cloud SQL is limited to single-region write primary instances and cannot scale writes horizontally across regions. Transfer Appliance is an offline physical migration device, not an ingestion database.

Neither Cloud SQL nor Transfer Appliance meets the stated scale and operational criteria.

Key Concept

Matching transactional and analytical telemetry workloads to appropriate GCP managed database services based on scale, consistency, and access patterns.

Question 249Question →

A global pharmaceutical enterprise is migrating its core clinical trial telemetry platform to Google Cloud. The architecture must establish private hybrid connectivity between on-premises data centers and GCP with sustained bandwidth exceeding $15\text{ Gbps}$ under a high-availability SLA. Additionally, the core transactional data store requires multi-region deployment with synchronous replication to ensure zero Recovery Point Objective (RPO) and high availability during regional outages. Which TWO architectural decisions should the Cloud Architect implement to satisfy these technical and availability requirements?

Select all that apply

Provision Dedicated Interconnect with redundant 10 Gbps circuits between the on-premises data center and the Google Cloud VPC.

Deploy Cloud Spanner with a multi-region instance configuration for the transactional database layer.

Configure an HA Cloud VPN gateway with multiple active-active IPsec tunnels to route the hybrid workload.

Deploy Cloud SQL for PostgreSQL with a cross-region read replica and configure automated failover.

Provision a multi-zonal Google Kubernetes Engine (GKE) cluster with Anthos Service Mesh to host stateless REST API endpoints.

Show answer & explanation

Answer: Provision Dedicated Interconnect with redundant 10 Gbps circuits between the on-premises data center and the Google Cloud VPC.; Deploy Cloud Spanner with a multi-region instance configuration for the transactional database layer.

Answer

The Cloud Architect must provision Dedicated Interconnect with redundant 10 Gbps circuits and deploy Cloud Spanner with a multi-region instance configuration.

Dedicated Interconnect provides private, high-bandwidth (>15 Gbps) physical connectivity under strict SLAs, while Cloud Spanner's multi-region synchronous consensus algorithm satisfies zero RPO and high availability requirements across regions.

Step-by-Step Solution

Analyze hybrid connectivity throughput and availability demands

A bandwidth target exceeding 15 Gbps requires Dedicated Interconnect.

HA Cloud VPN tunnels max out at 3 Gbps per tunnel, making Dedicated Interconnect (10 Gbps or 100 Gbps physical connections) necessary for sustained high throughput with SLA guarantees.

Evaluate database requirements for multi-region high availability and RPO

Cloud Spanner meets the zero RPO and multi-region transactional requirements.

Cloud SQL cross-region read replicas use asynchronous replication (resulting in non-zero RPO), whereas Cloud Spanner provides multi-region synchronous replication with strong consistency.

Key Concept

Designing Infrastructure for Technical Requirements and High Availability

Question 250Question →

An enterprise organization is migrating its internal human resources and payroll web application to Google Cloud. The workload operates entirely within a single GCP region, requires standard relational database capabilities with full ACID compliance, and has an estimated dataset size of 1.2 TB. The team needs automated backups, zero-downtime maintenance windows, and regional high availability across two zones. Which database resource should the cloud architect select to meet these technical requirements while minimizing operational complexity and cost?

Provision a Cloud SQL for PostgreSQL instance with High Availability (regional instance with a standby instance in a secondary zone).

Provision a multi-region Cloud Spanner instance with multi-zone replication.

Deploy a self-managed PostgreSQL database on Compute Engine instances and manage disk encryption using Customer-Supplied Encryption Keys (CSEK).

Export database snapshots to Cloud Storage and order a Transfer Appliance for weekly offline database synchronization between availability zones.

Show answer & explanation

Answer: Provision a Cloud SQL for PostgreSQL instance with High Availability (regional instance with a standby instance in a secondary zone).

Answer

The cloud architect should select a Cloud SQL for PostgreSQL instance configured with High Availability (regional deployment).

Cloud SQL for PostgreSQL configured with High Availability (HA) provides a fully managed relational database platform that supports standard SQL and ACID transactions. It features synchronous storage replication across two zones within a single GCP region and automatic failover, satisfying all availability and storage requirements (1.2 TB is well within Cloud SQL's 64 TB limit) with minimal cost and operational burden.

Step-by-Step Solution

Analyze database workload requirements

Identified relational ACID requirements, single-region scope, 1.2 TB storage volume, and regional high availability needs.

Determining scale, geographical distribution, and data model narrows the eligible GCP database products.

Compare candidate GCP relational database services

Cloud SQL handles single-region relational databases up to 64 TB with built-in zonal failover. Cloud Spanner is optimized for multi-region global scale.

Evaluating managed options prevents selecting over-engineered services that increase cost and complexity.

Select the optimal database resource

Cloud SQL for PostgreSQL with HA enabled provides automated regional failover, automated backups, and minimal management overhead.

This satisfies all technical constraints while optimizing for cost and operational effort.

Key Concept

Selecting Cloud SQL versus Cloud Spanner based on workload scope, storage volume, and geographical distribution requirements.

Estimated Time:1m 30s

Question 251Question →

A multinational enterprise is designing a high-availability infrastructure on Google Cloud for its internal employee directory and time-tracking portal. The application consists of stateless HTTP microservices and requires direct 10 Gbps high-bandwidth, low-latency connection between on-premises data centers and Google Cloud. The design must minimize operational management overhead while supporting multi-region fault tolerance. Which TWO architectural decisions should you recommend to meet these technical requirements?

Select all that apply

Deploy the stateless microservices on Cloud Run across multiple GCP regions integrated with a Global External Application Load Balancer.

Provision Dedicated Interconnect with redundant VLAN attachments across two distinct colocation edge facilities.

Deploy the microservices onto multi-cluster Google Kubernetes Engine (GKE) clusters across multiple regions.

Provision Cloud Spanner with a multi-region instance configuration for standard relational application metadata storage.

Configure HA Cloud VPN with multiple scaled IPsec tunnels over the public internet to reach 10 Gbps throughput.

Show answer & explanation

Answer: Deploy the stateless microservices on Cloud Run across multiple GCP regions integrated with a Global External Application Load Balancer.; Provision Dedicated Interconnect with redundant VLAN attachments across two distinct colocation edge facilities.

Answer

The correct architecture combines Cloud Run microservices deployed across multiple regions behind a Global External Application Load Balancer and Dedicated Interconnect with redundant connections across two colocation facilities.

Deploying stateless microservices on Cloud Run in multiple regions behind a Global External Application Load Balancer satisfies the high availability and zero operational overhead requirements. Provisioning Dedicated Interconnect with dual VLAN attachments across distinct colocation locations delivers 10 Gbps dedicated private bandwidth while ensuring 99.99% enterprise SLA.

Step-by-Step Solution

Evaluate stateless compute requirements

Cloud Run meets multi-region high availability requirements for stateless HTTP APIs while eliminating server/cluster maintenance overhead.

Serverless container platforms eliminate OS patching and cluster management tasks.

Evaluate hybrid connectivity requirements

Dedicated Interconnect with redundant links provides high-bandwidth (10 Gbps) direct connectivity with 99.99% availability.

VPN connections top out at 3 Gbps per tunnel and traverse the public internet, whereas Dedicated Interconnect offers dedicated wire speed.

Key Concept

Multi-Region Serverless Compute and Enterprise Dedicated Hybrid Interconnect Architecture

Question 252Question →

A smart building automation enterprise is migrating its central IoT telemetry processing API to Google Cloud. The API consists of lightweight, stateless RESTful HTTP microservices with standard relational database storage requirements confined to a single geographic region. The solution must achieve high availability across multiple availability zones, automatically scale during traffic bursts, guarantee seamless failover during zonal outages, and minimize both operational management overhead and baseline infrastructure costs. Which architectural design best satisfies these technical requirements?

Deploy the stateless REST microservices to Cloud Run across multiple zones within the region, and configure Regional Cloud SQL with high availability (HA) standby in a secondary zone for the relational database.

Deploy the stateless REST microservices on a GKE Autopilot cluster spanning multiple zones, and store persistent telemetry data in a Regional Cloud SQL instance.

Deploy the stateless REST microservices to Cloud Run and provision a multi-region Cloud Spanner instance to store the relational telemetry data.

Deploy the stateless REST microservices on Compute Engine Managed Instance Groups across multiple zones, using CPU utilization exclusively as the autoscaling metric to handle database connection bottlenecks.

Show answer & explanation

Answer: Deploy the stateless REST microservices to Cloud Run across multiple zones within the region, and configure Regional Cloud SQL with high availability (HA) standby in a secondary zone for the relational database.

Answer

Deploying the stateless microservices on Cloud Run combined with a Regional Cloud SQL High Availability (HA) configuration satisfies all high availability, auto-scaling, and single-region relational storage requirements while minimizing operational overhead and cost.

The design pairing Cloud Run with Regional Cloud SQL High Availability fulfills high availability across zones, provides automatic scaling for bursty HTTP workloads, guarantees automatic database failover, and minimizes both infrastructure management effort and costs.

Step-by-Step Solution

Evaluate compute requirements against operational overhead and scaling needs.

Cloud Run is selected because it natively handles stateless HTTP microservices, scales automatically across multiple zones, and eliminates cluster management overhead.

GKE adds unnecessary management complexity for simple stateless APIs, while Compute Engine requires manual autoscaling configuration and infrastructure maintenance.

Evaluate database requirements against high availability and geographic scope.

Regional Cloud SQL with High Availability (HA) failover is selected.

The workload is confined to a single region and requires standard relational database storage. Cloud SQL HA provides automatic synchronous replication to a standby instance in a secondary zone. Cloud Spanner would be over-engineered for a single-region deployment.

Key Concept

Designing Minimal-Overhead Regional High Availability (Cloud Run + Cloud SQL HA)

Question 253Question →

An enterprise energy provider is designing a high-availability architecture on Google Cloud for a mission-critical smart grid monitoring application. The ingestion service handles continuous stateless HTTP telemetry payloads from millions of smart meters, while the transactional database records power grid state changes requiring a Recovery Point Objective of zero ( $RPO = 0$ ) and a Recovery Time Objective of less than one minute ( $RTO < 1\text{ minute}$ ) in the event of an entire GCP region outage. The architect aims to minimize management overhead for stateless compute resources.

Which TWO architectural decisions should be combined to satisfy these high availability, RTO, and RPO requirements? (Select TWO.)

Select all that apply

Deploy the stateless HTTP ingestion service to Cloud Run services deployed across two regions behind a Global External Application Load Balancer.

Utilize Cloud Spanner configured with a multi-region instance configuration for the transactional grid state database.

Deploy a regional Google Kubernetes Engine (GKE) cluster in each region to host the stateless HTTP ingestion microservices.

Use Cloud SQL for PostgreSQL configured with regional High Availability (HA) across two GCP regions to store grid state data.

Establish HA VPN tunnels limited to 2 Gbps per tunnel as the primary hybrid connection for a continuous 15 Gbps on-premises ingestion data stream.

Show answer & explanation

Answer: Deploy the stateless HTTP ingestion service to Cloud Run services deployed across two regions behind a Global External Application Load Balancer.; Utilize Cloud Spanner configured with a multi-region instance configuration for the transactional grid state database.

Answer

The correct architecture combines multi-region Cloud Run services behind a Global External Application Load Balancer for stateless HTTP telemetry ingestion, paired with a multi-region Cloud Spanner database for grid state data.

Combining Cloud Run deployed across multiple regions behind a Global External Application Load Balancer with a multi-region Cloud Spanner database satisfies all availability constraints. Cloud Run provides serverless scalability for stateless HTTP ingestion without operational cluster overhead, while multi-region Cloud Spanner provides synchronous multi-region data replication to guarantee zero data loss (

RPO = 0

) and rapid automatic failover (

RTO < 1\text{ minute}

Step-by-Step Solution

Analyze compute requirements for the stateless telemetry service.

Cloud Run allows containerized stateless HTTP microservices to scale automatically without infrastructure management, and when combined with a Global External Application Load Balancer across two regions, it delivers high availability with minimal operational complexity.

GKE adds unnecessary management overhead for simple stateless web workloads.

Evaluate database requirements for multi-region

RPO = 0

and

RTO < 1\text{ minute}

Cloud Spanner multi-region configurations deliver synchronous multi-region replication and automatic failover, satisfying strict

RPO = 0

and sub-minute RTO targets.

Cloud SQL HA is limited to multi-zone replication within a single region; cross-region read replicas are asynchronous and do not support

RPO = 0

Key Concept

Multi-region high availability design using Cloud Run and Cloud Spanner for zero-RPO transactional requirements

Question 254Question →

An autonomous maritime cargo logistics company is deploying its fleet monitoring platform on Google Cloud. The architecture requires a private hybrid connection between their central port data center and Google Cloud capable of handling a continuous throughput of 8 Gbps with enterprise SLAs. Additionally, the transactional telemetry engine requires a database deployment in a single region that guarantees automatic multi-zone failover with zero Recovery Point Objective (RPO). Which TWO architectural decisions should the cloud architect implement to meet these high availability and technical requirements?

Select all that apply

Provision a 10 Gbps Dedicated Interconnect circuit with redundant interconnect attachments deployed across two distinct edge availability domains.

Configure a regional Cloud SQL instance with High Availability (HA) enabled, utilizing primary and standby instances placed in separate zones with synchronous storage replication.

Establish multiple HA VPN tunnels over the public internet routed dynamically using BGP to handle the 8 Gbps hybrid traffic.

Deploy Compute Engine Managed Instance Groups (MIGs) and set autoscaling rules based exclusively on CPU utilization metrics.

Provision a zonal Cloud SQL database instance backed by hourly automated snapshots to recover in an alternate zone upon failure.

Show answer & explanation

Answer: Provision a 10 Gbps Dedicated Interconnect circuit with redundant interconnect attachments deployed across two distinct edge availability domains.; Configure a regional Cloud SQL instance with High Availability (HA) enabled, utilizing primary and standby instances placed in separate zones with synchronous storage replication.

Answer

The platform requires Dedicated Interconnect with redundant attachments across two edge availability domains to reliably support 8 Gbps private hybrid bandwidth, along with a regional Cloud SQL instance configured for High Availability across two zones to ensure automatic failover and zero RPO synchronous replication.

To satisfy high throughput (>3 Gbps) and SLA requirements for hybrid networking, Dedicated Interconnect with redundant attachments across separate edge availability domains is required. For database high availability with zero RPO, a regional Cloud SQL instance with High Availability (HA) enabled provides synchronous multi-zone storage replication and automated failover.

Step-by-Step Solution

Evaluate hybrid network connectivity requirements.

The requirement specifies private 8 Gbps throughput with enterprise SLAs.

HA VPN maxes out at 3 Gbps per tunnel over public internet. Dedicated Interconnect provides 10 Gbps physical links with dedicated SLAs and redundant edge availability domains.

Evaluate relational database high availability requirements.

The requirement demands a single-region database with zero RPO and automatic multi-zone failover.

Cloud SQL HA mode uses regional persistent disk storage with synchronous replication across two zones in the same region, ensuring zero data loss (RPO = 0) and automated failover.

Key Concept

Designing High-Availability Hybrid Connectivity and Regional Relational Storage on Google Cloud

Estimated Time:2m 0s

Question 255Question →

An enterprise SaaS provider is designing the database architecture for a multi-tenant accounting application deployed within a single Google Cloud region. The workload requires full ACID compliance, support for complex SQL relational queries, automatic regional high availability across zones, and data encryption governed via keys managed in Google Cloud KMS to comply with corporate security standards. The dataset is projected to grow to 2 TB over three years and does not require global multi-region read/write capabilities. Which storage solution should you recommend to satisfy these requirements with minimal operational complexity and cost?

Deploy Cloud SQL for PostgreSQL configured in High Availability (HA) mode across two zones within the region, using Customer-Managed Encryption Keys (CMEK) integrated with Cloud KMS.

Deploy Cloud Spanner configured across multiple regions with Customer-Managed Encryption Keys (CMEK) to guarantee global relational consistency.

Deploy Cloud SQL for PostgreSQL configured with Customer-Supplied Encryption Keys (CSEK) stored directly within application deployment configurations.

Deploy Cloud SQL for PostgreSQL with standard IAM role assignments to enforce security boundaries without configuring VPC Service Controls or encryption key policies.

Show answer & explanation

Answer: Deploy Cloud SQL for PostgreSQL configured in High Availability (HA) mode across two zones within the region, using Customer-Managed Encryption Keys (CMEK) integrated with Cloud KMS.

Answer

Deploy Cloud SQL for PostgreSQL configured in High Availability (HA) mode across two zones within the region, using Customer-Managed Encryption Keys (CMEK) integrated with Cloud KMS.

The solution specifying Cloud SQL for PostgreSQL in High Availability (HA) mode with CMEK via Cloud KMS satisfies all architectural and security requirements. Cloud SQL supports full relational ACID semantics for single-region applications up to tens of terabytes. High Availability mode provisions a synchronous standby instance in a separate zone within the same region for automated failover. Utilizing CMEK through Cloud KMS fulfills key management governance policies efficiently.

Step-by-Step Solution

Analyze database model and scale requirements.

The application requires a traditional relational SQL database with ACID transactions and structured queries. The 2 TB dataset size and single-region footprint fit comfortably within Cloud SQL boundaries without requiring horizontally scalable global databases.

Matching database capability to actual scale avoids unnecessary resource overhead.

Evaluate availability and disaster recovery constraints.

Configuring Cloud SQL in High Availability (HA) mode creates a primary instance in one zone and a synchronous standby replica in a secondary zone, ensuring automatic failover during zonal outages.

Fulfills the regional high-availability constraint with fully managed failover logic.

Select the appropriate encryption key management mechanism.

Integrating Cloud SQL with Customer-Managed Encryption Keys (CMEK) via Google Cloud KMS enables centralized key management, key rotation policies, and compliance auditing without requiring manual raw key handling in application code.

Meets security governance requirements using Cloud KMS while maintaining managed cloud integration.

Key Concept

Selecting Cloud SQL HA with CMEK for Regional Relational Workloads

Question 256Question →

An online multiplayer gaming enterprise is designing its core backend infrastructure on Google Cloud. The architecture must host stateless microservices with minimal operational overhead, while maintaining high availability across availability zones. The database tier requires continuous multi-region availability with zero Recovery Point Objective (RPO) for global player inventory transactions. Additionally, the team needs to connect their on-premises game engine telemetry servers to GCP using a dedicated hybrid connection capable of sustaining sustained throughput of 10 Gbps.

Which TWO architectural components should the cloud architect select to meet these technical and high-availability requirements? (Select TWO)

Select all that apply

Deploy the stateless microservices on Cloud Run to provide automatic scaling across zones without cluster management overhead.

Deploy a multi-zone Google Kubernetes Engine (GKE) cluster to host the stateless microservices to ensure maximum operational simplicity.

Use Cloud Spanner configured as a multi-region instance to support globally distributed transactional consistency and zero RPO.

Configure Cloud SQL for PostgreSQL with cross-region read replicas to handle global zero-RPO transactional writes.

Provision multiple HA VPN tunnels over the public internet to achieve an aggregate 10 Gbps dedicated connection to the on-premises network.

Show answer & explanation

Answer: Deploy the stateless microservices on Cloud Run to provide automatic scaling across zones without cluster management overhead.; Use Cloud Spanner configured as a multi-region instance to support globally distributed transactional consistency and zero RPO.

Answer

Deploy the stateless microservices on Cloud Run and use Cloud Spanner configured as a multi-region instance.

Cloud Run delivers high availability by serving traffic across multiple availability zones in a region without requiring cluster administration. Cloud Spanner is engineered for multi-region relational workloads requiring zero RPO, strong global consistency, and continuous availability.

Step-by-Step Solution

Evaluate the compute requirement for stateless microservices with minimal management overhead and regional high availability.

Cloud Run automatically provisions containers across multiple zones within a region and scales down to zero, meeting stateless HA goals without container cluster operational toil.

GKE requires manual cluster maintenance, node pool management, and control plane monitoring, making it over-engineered for simple stateless microservices.

Evaluate the storage requirement for globally distributed ACID transactions with continuous multi-region availability and zero RPO.

Cloud Spanner utilizes synchronous replication via Paxos consensus across multi-region configurations, guaranteeing zero RPO and strong consistency worldwide.

Cloud SQL provides regional high availability with synchronous failover, but multi-region replicas rely on asynchronous replication, introducing non-zero RPO risk during cross-region failover.

Key Concept

Designing high-availability compute and database tiers on Google Cloud using serverless containers and globally consistent relational databases.

Question 257Question →

A global fleet management platform collects real-time vehicle telemetry data across North America and Europe. The architecture requires two distinct data storage services to support its core capabilities:

1. Low-latency, high-throughput ingestion of real-time telemetry time-series data streams (exceeding 100,000 writes per second per region).
2. Globally distributed, strongly consistent ACID transactions for managing vehicle registration, driver profiles, and billing subscription data across multiple regions.

Which TWO Google Cloud database and storage services should the cloud architect select to meet these technical requirements? (Select TWO.)

Select all that apply

Cloud Bigtable to handle high-throughput, low-latency ingestion of vehicle telemetry time-series data.

Cloud Spanner to manage globally distributed vehicle registration and billing subscription data with ACID transactional consistency.

Cloud SQL for PostgreSQL to provide multi-region global strong ACID consistency for subscription and vehicle registration data.

Transfer Appliance to stream continuous real-time vehicle telemetry time-series points directly into Cloud Storage.

Show answer & explanation

Answer: Cloud Bigtable to handle high-throughput, low-latency ingestion of vehicle telemetry time-series data.; Cloud Spanner to manage globally distributed vehicle registration and billing subscription data with ACID transactional consistency.

Answer

Selecting Cloud Bigtable for high-throughput NoSQL time-series telemetry data and Cloud Spanner for globally distributed relational ACID subscription data.

The solution requires two specialized databases. Cloud Bigtable is optimized for heavy write time-series telemetry workloads where throughput and low latency are critical. Cloud Spanner provides a globally distributed relational database with multi-region strong ACID consistency for vehicle and billing profiles.

Step-by-Step Solution

Analyze the workload requirement for streaming vehicle telemetry data.

Identified high write volume (>100,000 writes/sec), time-series access pattern, and low-latency requirement.

Cloud Bigtable is designed specifically for low-latency, high-throughput time-series and IoT telemetry storage.

Analyze the workload requirement for vehicle registration and billing subscription data.

Identified multi-region deployment requirement with strong ACID transactional consistency.

Cloud Spanner is Google Cloud's fully managed relational database that scales globally with strong consistency across regions.

Evaluate and eliminate non-matching GCP storage options.

Disqualified Cloud SQL (regional limitation for writes/global consistency) and Transfer Appliance (offline bulk hardware migration tool).

Matching technical requirements to service capabilities ensures scalable, reliable operational architecture.

Key Concept

Selecting GCP database and storage resources based on access patterns, throughput, latency, and regional consistency requirements.

Question 258Question →

An IoT smart-agriculture enterprise is migrating its fleet telemetry ingestion pipeline to Google Cloud. The architecture must process high-volume stateless HTTPS telemetry requests and store transactional metadata in a relational database within a single region. Technical constraints require high availability across multiple zones, zero data loss (RPO = 0), an RTO under 1 minute for database failover, and minimal operational management overhead. Which TWO architectural recommendations should you implement? (Select TWO.)

Select all that apply

Deploy the stateless HTTP telemetry ingestion workload on Cloud Run configured across multiple zones within the region.

Deploy a regional Google Kubernetes Engine (GKE) cluster with multi-zonal node pools to host the stateless HTTP ingestion services.

Provision Cloud Spanner configured as a regional instance to store the transactional metadata.

Provision Cloud SQL for PostgreSQL with High Availability (HA) enabled, utilizing regional persistent disks and automated zonal failover.

Configure HA VPN with dynamic BGP routing to connect remote telemetry aggregators requiring continuous 10 Gbps throughput into the VPC.

Show answer & explanation

Answer: Deploy the stateless HTTP telemetry ingestion workload on Cloud Run configured across multiple zones within the region.; Provision Cloud SQL for PostgreSQL with High Availability (HA) enabled, utilizing regional persistent disks and automated zonal failover.

Answer

Deploy the stateless HTTP telemetry ingestion workload on Cloud Run, and provision Cloud SQL for PostgreSQL with High Availability (HA) using regional persistent disks.

Cloud Run automatically serves containerized stateless workloads across multiple availability zones within a region while eliminating infrastructure setup and operational management. Cloud SQL configured for High Availability (HA) uses synchronous disk replication across zones in the same region, fulfilling the zero RPO requirement and providing automated failover with an RTO of less than 60 seconds.

Step-by-Step Solution

Evaluate stateless compute platform based on operational efficiency

Cloud Run automatically scales across multiple availability zones without cluster maintenance, satisfying stateless HTTP processing with minimal overhead.

GKE cluster management is overhead-heavy for simple stateless web endpoints.

Evaluate database requirements for single-region HA, RTO, and RPO

Cloud SQL with HA configuration synchronously replicates data to a standby zone using regional persistent disks, achieving RPO = 0 and automatic failover within 60 seconds.

Cloud Spanner introduces excessive cost for single-region relational workloads.

Key Concept

Designing single-region high-availability architectures for stateless compute and transactional databases on Google Cloud

Question 259Question →

A healthcare provider is designing a new electronic health records (EHR) management system on Google Cloud. The system requires a relational database that supports full ACID transactions, standard SQL queries, and automated regional high availability across zones within a single GCP region. The application's performance requirement is modest, capped at 3,000 IOPS, and does not demand global multi-region write scalability. Which database architecture should the Cloud Architect recommend to meet these technical requirements while minimizing overall cost and operational complexity?

Provision a Cloud SQL for PostgreSQL instance configured with High Availability (HA) enabled across two zones in the target region.

Deploy a multi-region Cloud Spanner instance to store the transactional health records with automatic synchronous replication.

Order a Google Cloud Transfer Appliance to continuously stream real-time transactional database updates to Cloud Storage buckets.

Implement a Cloud Bigtable cluster utilizing Customer-Supplied Encryption Keys (CSEK) to store the structured transactional records.

Show answer & explanation

Answer: Provision a Cloud SQL for PostgreSQL instance configured with High Availability (HA) enabled across two zones in the target region.

Answer

Provisioning Cloud SQL for PostgreSQL with regional High Availability enabled across two zones is the optimal choice for single-region relational workloads requiring ACID transactions and standard SQL.

Cloud SQL for PostgreSQL provides a fully managed relational database supporting standard SQL and ACID transactions. Enabling regional High Availability (HA) across two availability zones satisfies the single-region availability requirement efficiently without incurring the substantially higher cost of global relational database engines.

Step-by-Step Solution

Analyze the workload requirements

Identified relational data structure, ACID compliance requirement, single-region deployment scope, modest IOPS requirement (3,000 IOPS), and regional high availability need.

Matching technical requirements directly against database service capabilities prevents over-provisioning and minimizes architectural complexity.

Evaluate regional relational database options

Cloud SQL provides native PostgreSQL compatibility, full ACID transactions, standard SQL support, and automated cross-zone high availability failover within a single region.

Cloud SQL is specifically optimized for fully managed relational workloads contained within a single GCP region.

Eliminate non-matching and over-engineered alternatives

Cloud Spanner is unnecessary due to single-region scope, Cloud Bigtable lacks relational transactions, and Transfer Appliance is designed for offline data transport.

GCP Cloud Architect principles mandate selecting the simplest, most cost-effective managed service that fulfills all functional requirements.

Key Concept

Selecting Cloud SQL vs. Cloud Spanner based on regional scope and transactional requirements

Question 260Question →

An enterprise e-commerce organization runs a batch inventory reconciliation process every night at midnight. The job runs a single containerized application for approximately 45 minutes to reconcile stock levels across multiple warehouses and stores the transactional results in a database requiring standard relational capabilities within a single GCP region. The system currently utilizes a dedicated multi-node Google Kubernetes Engine (GKE) cluster and a Cloud Spanner instance. The engineering team needs to optimize infrastructure costs while maintaining high availability and operational reliability for this regional batch workload. Which TWO architectural modifications should a Cloud Architect recommend to minimize costs?

Select all that apply

Migrate the nightly containerized reconciliation batch job from GKE to Cloud Run jobs.

Migrate the database layer from Cloud Spanner to a regional Cloud SQL for PostgreSQL instance configured for High Availability (HA).

Maintain the GKE cluster but convert it to a dedicated GKE Autopilot cluster covered by 3-year Compute Engine Committed Use Discounts (CUDs).

Retain Cloud Spanner and configure multi-region dual-region read replicas to reduce transactional latency.

Show answer & explanation

Answer: Migrate the nightly containerized reconciliation batch job from GKE to Cloud Run jobs.; Migrate the database layer from Cloud Spanner to a regional Cloud SQL for PostgreSQL instance configured for High Availability (HA).

Answer

Migrate the nightly containerized reconciliation batch job from GKE to Cloud Run jobs, and migrate the database layer from Cloud Spanner to a regional Cloud SQL for PostgreSQL instance configured for High Availability (HA).

The combination of Cloud Run jobs and Cloud SQL for PostgreSQL HA optimizes costs across both compute and database tiers. Cloud Run jobs execute containerized batch tasks without paying for idle cluster resources between executions. Cloud SQL provides full relational transactional support in a single region with high availability without the premium price tag of Cloud Spanner.

Step-by-Step Solution

Analyze compute workload requirements for batch execution

Identified that running a 45-minute nightly job on an always-on GKE cluster incurs unneeded continuous compute and management costs. Cloud Run jobs provide serverless execution that scales to zero when idle.

Serverless containers eliminate idle compute expenses for intermittent, scheduled batch processing.

Analyze storage and database requirements against cost and scale boundaries

Identified that Cloud Spanner provides horizontal global scaling which exceeds the needs of a single-region relational workload. Cloud SQL for PostgreSQL HA delivers the needed ACID compliance and availability at a fraction of the cost.

Right-sizing database choices to match workload regional requirements prevents costly over-provisioning.

Key Concept

Cost Optimization through Serverless Compute and Relational Database Right-Sizing

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