Tüm alıştırma soruları

1462 soru

Soru 641Soru

A financial auditing firm must store historical transaction logs. The logs require 99.999999999% durability and must be highly resilient across multiple Availability Zones. The recovery time objective (RTO) for retrieving these logs is less than 10 minutes when an audit request is received. The solution must be highly cost-effective. Which two AWS storage configurations will meet these requirements? (Select TWO).

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Cevabı ve açıklamayı göster

Cevap: Store the logs in Amazon S3 Glacier Instant Retrieval to get millisecond retrieval times and multi-AZ durability.; Store the logs in Amazon S3 Standard-Infrequent Access (S3 Standard-IA) to ensure immediate retrieval and multi-AZ resilience.

Cevap

Storing the logs in Amazon S3 Glacier Instant Retrieval and storing the logs in Amazon S3 Standard-Infrequent Access (S3 Standard-IA).
Storing logs in S3 Glacier Instant Retrieval and S3 Standard-IA are the correct options because both storage classes provide 99.999999999% durability across multiple Availability Zones, support millisecond retrieval times (well within the 10-minute RTO), and represent cost-optimized tiers for infrequently accessed log files.

Adım Adım Çözüm

1
Identify the durability and resilience requirements.
The logs require 99.999999999% durability and must be highly resilient across multiple Availability Zones. This rules out single-AZ storage classes like S3 One Zone-IA.
This establishes the baseline requirements for multi-AZ availability and durability.
2
Evaluate the recovery time objective (RTO).
The RTO is under 10 minutes, meaning standard or bulk retrieval options in Glacier (which take hours) are unacceptable.
This rules out Glacier Flexible Retrieval standard options which take hours, requiring millisecond or expedited access.
3
Compare the eligible S3 storage tiers and configurations.
S3 Glacier Instant Retrieval and S3 Standard-IA both meet the multi-AZ resilience, high durability, and millisecond retrieval requirements while offering lower storage costs compared to S3 Standard.
Selecting the two configurations that align with all metrics while remaining cost-optimized.

Anahtar Kavram

Selecting highly available, resilient, and cost-effective storage options that meet strict RTO constraints.
Soru 642Soru

A financial services company is hosting a transaction auditing application on Amazon EC2 instances distributed across three Availability Zones in a single AWS Region. The application requires a shared file system that can be accessed concurrently by all EC2 instances to read and write active audit files. The storage solution must be highly resilient within the Region. Additionally, the company requires a disaster recovery (DR) architecture for this shared storage in a secondary Region with a Recovery Point Objective (RPO) of 15 minutes and a Recovery Time Objective (RTO) of 30 minutes. Which combination of storage configurations will meet these requirements? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: Use Amazon Elastic File System (Amazon EFS) with the Regional storage class to provide shared file storage within the primary Region.; Configure Amazon EFS Replication to replicate the shared file system to a secondary AWS Region to meet the disaster recovery requirements.

Cevap

Use Amazon Elastic File System (Amazon EFS) with the Regional storage class, and configure Amazon EFS Replication to replicate the shared file system to a secondary AWS Region.
Using Amazon EFS with the Regional storage class ensures that files are stored redundantly across multiple Availability Zones, offering high resilience and allowing all EC2 instances to read and write concurrently. Setting up Amazon EFS Replication replicates data to a secondary Region automatically, meeting the 15-minute RPO and allowing access within the 30-minute RTO.

Adım Adım Çözüm

1
Determine the shared storage requirements within the primary Region.
Identify that the EC2 instances are distributed across three Availability Zones and require simultaneous read/write access to the same file system, directing the choice to Amazon EFS with the Regional storage class.
Amazon EFS Regional storage class provides concurrent access from multiple AZs and replicates data across them for high resilience.
2
Address the disaster recovery constraints for the secondary Region.
Evaluate replication mechanisms to achieve a Recovery Point Objective (RPO) of 15 minutes and a Recovery Time Objective (RTO) of 30 minutes, selecting Amazon EFS Replication.
Amazon EFS Replication continuously replicates file system changes to a secondary Region automatically, maintaining low latency synchronization to support quick failover.

Anahtar Kavram

Designing highly available and resilient shared storage architectures using Amazon EFS Regional storage and cross-Region replication.
Soru 643Soru

A financial services firm is deploying a web-based client portal. The portal uses an Amazon RDS DB instance to store transaction records. The database must remain highly available during a database instance failure or an Availability Zone outage, with automatic failover to a standby instance without manual intervention. Which Amazon RDS configuration should a solutions architect recommend to meet these requirements?

Cevabı ve açıklamayı göster

Cevap: Configure the Amazon RDS DB instance to use a Multi-AZ deployment.

Cevap

Configure the Amazon RDS DB instance to use a Multi-AZ deployment.
Configuring the Amazon RDS DB instance to use a Multi-AZ deployment is the standard method for achieving high availability on AWS. It replicates data synchronously to a standby instance in a different Availability Zone and automatically updates DNS records to point to the standby during a failure, ensuring automatic failover with no manual intervention.

Adım Adım Çözüm

1
Identify the high availability and automatic failover requirements.
The solution must handle an Availability Zone or instance failure automatically without manual intervention.
This establishes the need for a synchronous database configuration that supports automatic failover.
2
Evaluate the capabilities of Amazon RDS Multi-AZ deployments.
RDS Multi-AZ creates a synchronous standby replica in a separate Availability Zone and handles automatic failover if the primary fails.
This matches all stated requirements for resilience and automation.
3
Exclude options that do not support automatic failover or high availability.
Read replicas require manual promotion, pilot light is a disaster recovery pattern with high recovery time, and Route 53 latency routing does not replicate database state.
These alternatives fail to meet either the high availability or the zero-manual-intervention constraints.

Anahtar Kavram

Amazon RDS Multi-AZ deployments provide automatic failover and synchronous replication for high availability across different Availability Zones.
Tahmini Süre:1m 0s
Soru 644Soru

A company is designing a new internal application that will store temporary session logs. The log writing pattern is highly unpredictable, characterized by sudden, brief spikes of intensive activity followed by hours of complete silence. The database must minimize costs, and logs do not need to be retained for more than 7 days. Which combination of database configurations or features will meet these requirements most cost-effectively? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: Configure the Amazon DynamoDB table to use on-demand capacity mode.; Enable Amazon DynamoDB Time to Live (TTL) on the table with an expiration timestamp.

Cevap

The correct configurations are configuring the Amazon DynamoDB table to use on-demand capacity mode and enabling Amazon DynamoDB Time to Live (TTL) on the table.
Configuring the table to use on-demand capacity mode ensures that charges are only incurred for the actual read and write operations performed, which is highly cost-optimized for unpredictable workloads with long idle times. Enabling Time to Live (TTL) allows DynamoDB to automatically delete logs older than 7 days without consuming any write capacity units or incurring additional cleanup costs, thereby minimizing ongoing storage expenses.

Adım Adım Çözüm

1
Analyze the database workload patterns and storage requirements.
The workload is highly unpredictable with spiky write traffic and long periods of idle time, and the data (logs) has a short lifespan of 7 days.
Understanding the traffic pattern helps identify the most cost-effective capacity scaling model, while the data retention requirement highlights potential storage cost optimization opportunities.
2
Select the optimal DynamoDB capacity mode.
DynamoDB on-demand capacity mode is selected.
For spiky and unpredictable traffic with long periods of silence, on-demand mode eliminates the cost of provisioning unused idle capacity, ensuring you only pay for requests made.
3
Select the optimal mechanism to manage data retention.
DynamoDB Time to Live (TTL) is enabled.
TTL automatically deletes expired items at no extra cost and does not consume provisioned throughput, keeping storage costs minimal without administrative overhead.

Anahtar Kavram

Selecting cost-effective capacity modes and automated retention features for unpredictable, transient workloads in AWS databases.
Tahmini Süre:1m 30s
Soru 645Soru

An enterprise is running a mission-critical transactional database on a cluster of Amazon EC2 instances in a single Availability Zone. The database requires shared block storage that supports SCSI-3 persistent reservations for failover clustering, must sustain a peak workload of 70,00070,000 IOPS, and requires sub-millisecond latency. Which storage configurations will meet these performance and clustering requirements? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: Provision an Amazon EBS io2 volume, enable Multi-Attach, and attach it to the EC2 instances.; Provision an Amazon FSx for NetApp ONTAP file system and configure iSCSI targets to mount to the EC2 instances.

Cevap

The correct configurations are provisioning an Amazon EBS io2 volume with Multi-Attach enabled, and provisioning an Amazon FSx for NetApp ONTAP file system using iSCSI mounts.
The correct configurations are using Amazon EBS io2 with Multi-Attach enabled and Amazon FSx for NetApp ONTAP via iSCSI. Amazon EBS io2 supports Multi-Attach and SCSI-3 persistent reservations on Nitro-based EC2 instances while providing up to 256,000256,000 IOPS and sub-millisecond latency. Amazon FSx for NetApp ONTAP provides high-performance shared storage that supports block storage protocols via iSCSI, including SCSI-3 persistent reservations, and delivers sub-millisecond latency.

Adım Adım Çözüm

1
Analyze database clustering requirements.
The system requires shared block storage, SCSI-3 persistent reservations, a peak of 70,00070,000 IOPS, and sub-millisecond latency.
This establishes the technical constraints for volume sharing, protocol compatibility, and performance.
2
Evaluate Amazon EBS volumes.
EBS io2 (specifically io2 Block Express) supports Multi-Attach, SCSI-3 persistent reservations, and up to 256,000256,000 IOPS with sub-millisecond latency. EBS gp3 is limited to 16,00016,000 IOPS and does not support Multi-Attach or SCSI-3 persistent reservations.
This identifies EBS io2 as a viable option while ruling out EBS gp3 due to performance caps and lack of clustering features.
3
Evaluate shared file system options.
Amazon EFS uses NFSv4 (file-level) and does not support SCSI-3 persistent reservations (block-level). Amazon FSx for NetApp ONTAP supports block-level access via iSCSI, including SCSI-3 persistent reservations, and delivers sub-millisecond latency.
This identifies FSx for NetApp ONTAP as the second viable option and eliminates EFS as it is file-level storage.

Anahtar Kavram

Selecting high-performance shared block storage that supports SCSI-3 persistent reservations for database clustering.
Tahmini Süre:2m 0s
Soru 646Soru

An organization is migrating a high-volume data ingestion system to AWS. The migration requires transferring large datasets from an on-premises storage system to Amazon EC2 instances in a single VPC, requiring a constant network bandwidth of at least 2 Gbps2\text{ Gbps}. Which two connectivity configurations can support this bandwidth requirement? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: A dedicated 10 Gbps10\text{ Gbps} AWS Direct Connect connection; An AWS Transit Gateway integration using multiple Site-to-Site VPN connections with ECMP enabled

Cevap

The correct configurations are a dedicated 10 Gbps10\text{ Gbps} AWS Direct Connect connection and an AWS Transit Gateway integration using multiple Site-to-Site VPN connections with ECMP enabled.
The correct configurations are a dedicated 10 Gbps10\text{ Gbps} AWS Direct Connect connection and an AWS Transit Gateway integration using multiple Site-to-Site VPN connections with ECMP enabled. A dedicated Direct Connect connection easily meets the 2 Gbps2\text{ Gbps} requirement by establishing a private physical connection of up to 10 Gbps10\text{ Gbps} or 100 Gbps100\text{ Gbps}. Alternatively, by enabling Equal-Cost Multi-Path (ECMP) routing on AWS Transit Gateway, multiple Site-to-Site VPN tunnels can be aggregated to bypass the single-tunnel limit of 1.25 Gbps1.25\text{ Gbps}, successfully scaling the throughput beyond 2 Gbps2\text{ Gbps}.

Adım Adım Çözüm

1
Evaluate the bandwidth requirement against the default limits of a single AWS Site-to-Site VPN tunnel.
A single VPN tunnel is limited to 1.25 Gbps1.25\text{ Gbps}, which is insufficient for the 2 Gbps2\text{ Gbps} requirement.
This establishes the need for either Direct Connect or an aggregated VPN architecture.
2
Identify valid high-throughput options that can scale beyond the 1.25 Gbps1.25\text{ Gbps} limit.
A 10 Gbps10\text{ Gbps} Direct Connect connection provides dedicated private bandwidth, while Transit Gateway with ECMP allows load-balancing across multiple VPN tunnels to aggregate bandwidth.
These solutions directly address the requirement for a scalable, high-performance network connection.

Anahtar Kavram

AWS network throughput scalability and limitations, specifically the 1.25 Gbps1.25\text{ Gbps} limit per Site-to-Site VPN tunnel and the options to scale bandwidth using Direct Connect or Transit Gateway with ECMP.
Soru 647Soru

A company is designing a high-performing data ingestion and transformation pipeline to process streaming clickstream data from its web application. The pipeline must scale automatically to handle traffic spikes, transform the incoming data into Apache Parquet format, and deliver the final output to Amazon S3 with the least operational complexity. Which two AWS configurations should the solutions architect combine to meet these requirements? (Select two.)

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Cevabı ve açıklamayı göster

Cevap: Configure an Amazon Kinesis Data Stream in on-demand capacity mode to ingest the streaming clickstream data.; Use Amazon Data Firehose to consume data from the stream, convert the format to Apache Parquet using AWS Glue, and deliver it to Amazon S3.

Cevap

Configure an Amazon Kinesis Data Stream in on-demand capacity mode, and use Amazon Data Firehose to consume the data, convert the format to Apache Parquet using AWS Glue, and deliver it to Amazon S3.
To build a serverless, auto-scaling data ingestion and transformation pipeline, the solutions architect should use Kinesis Data Streams configured in on-demand capacity mode to handle variable streaming throughput automatically. Then, Amazon Data Firehose can consume the stream and convert JSON data to Apache Parquet format using the AWS Glue Data Catalog, writing the results directly to Amazon S3. This combination scales automatically and requires minimal management.

Adım Adım Çözüm

1
Select the ingestion layer that automatically handles traffic spikes.
Amazon Kinesis Data Streams in on-demand mode automatically scales up to accommodate throughput fluctuations.
This removes the administrative overhead of calculating and provisioning shards manually.
2
Select the delivery and transformation mechanism that converts data to Parquet with low operational overhead.
Amazon Data Firehose is used to consume from the stream and perform serverless record format conversion.
Firehose can convert JSON records to Apache Parquet using the schema defined in the AWS Glue Data Catalog before writing to the Amazon S3 destination.

Anahtar Kavram

Serverless and auto-scaling real-time data ingestion and format transformation using Kinesis Data Streams, Amazon Data Firehose, and AWS Glue.
Soru 648Soru

A media processing company is designing a system on AWS to orchestrate and run video rendering jobs. The architecture includes:

1. An orchestration daemon that runs 24/724/7 on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to monitor job queues and manage metadata.
2. A fleet of worker nodes that retrieve tasks from an Amazon SQS queue, download large video segments, process them, and upload the results to Amazon S3. Individual rendering tasks can run for up to 3 hours3\text{ hours}. The queue depth varies significantly throughout the day, and tasks can be safely restarted from the beginning if interrupted.
3. A persistent database layer running on Amazon RDS for PostgreSQL to store customer metadata and job configurations.

Which combination of compute selection and purchasing strategies will achieve the lowest overall cost? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: Purchase a Compute Savings Plan to cover the persistent orchestration daemon running on AWS Fargate.; Provision the worker node fleet using Amazon EC2 Spot Instances to process the batch video rendering tasks.

Cevap

The most cost-effective compute strategy is to purchase a Compute Savings Plan for the persistent 24/724/7 Fargate orchestration daemon, and to use Amazon EC2 Spot Instances for the fault-tolerant, batch video rendering worker nodes.
The optimal cost-effective strategy uses a Compute Savings Plan for the persistent Fargate orchestration daemon, providing substantial discounts for 24/724/7 workloads. For the batch rendering worker fleet, Amazon EC2 Spot Instances are selected because the tasks are stateless, can be restarted from the SQS queue upon interruption, and run for up to 3 hours3\text{ hours}, allowing the company to save up to 90%90\% compared to On-Demand pricing.

Adım Adım Çözüm

1
Analyze the execution profile of the orchestration daemon.
The orchestration daemon runs continuously (24/724/7) on AWS Fargate.
Since the resource usage is predictable and persistent, a commitment-based model like a Savings Plan is appropriate to reduce costs compared to On-Demand rates.
2
Determine the eligibility of services for Compute Savings Plans.
Compute Savings Plans apply to AWS Fargate but do not apply to Amazon RDS instances.
A database-specific purchasing model or Reserved Instance would be needed for the RDS PostgreSQL database, whereas the Fargate compute can be covered by the Compute Savings Plan.
3
Analyze the execution profile of the video rendering worker fleet.
The worker fleet processes stateless, fault-tolerant batch workloads from a queue. Individual tasks can run for up to 3 hours3\text{ hours} and can be safely restarted if interrupted.
Because the workload is interruptible and spiky, EC2 Spot Instances provide the deepest discount (up to 90%90\% off On-Demand) and fit the fault-tolerant nature of SQS-based processing.
4
Evaluate the suitability of AWS Lambda for the rendering tasks.
AWS Lambda is unsuitable because its maximum execution timeout is 15 minutes15\text{ minutes}, whereas the rendering tasks run for up to 3 hours3\text{ hours}. Lambda is also not cost-optimized for long-running, continuous compute tasks.
Confirming that Lambda is mathematically and technically restricted from handling this workload.
5
Evaluate the networking costs of the worker nodes accessing Amazon S3.
Routing S3 data transfers through a NAT Gateway incurs high data processing fees. Using a free S3 Gateway VPC Endpoint bypasses the NAT Gateway.
Minimizing data transfer costs is a critical part of compute architecture design.

Anahtar Kavram

Matching workloads to cost-optimized AWS compute hosting models and purchasing strategies (Spot Instances for fault-tolerant batch processing, and Compute Savings Plans for persistent, predictable containerized workloads on AWS Fargate).
Soru 649Soru

A research institution is deploying a distributed high-performance computing (HPC) pipeline on AWS for genomic sequencing. The pipeline is deployed across a fleet of Amazon EC2 instances. The pipeline requires a shared storage solution that supports concurrent read and write access from hundreds of instances, delivers sub-millisecond latency, and scales throughput up to 20 GB/s20\text{ GB/s}. Additionally, the solution must automatically load raw input datasets from a designated Amazon S3 bucket when files are first accessed, and export output results back to the S3 bucket upon pipeline completion.

Which combination of steps should the solutions architect take to meet these performance and integration requirements? (Choose two.)

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Cevabı ve açıklamayı göster

Cevap: Create an Amazon FSx for Lustre file system with a data repository association linked to the Amazon S3 bucket.; Mount the FSx for Lustre file system on the EC2 instances using the Lustre client.

Cevap

Create an Amazon FSx for Lustre file system with a data repository association linked to the Amazon S3 bucket, and mount the file system on the EC2 instances using the Lustre client.
The combination of creating an Amazon FSx for Lustre file system with a data repository association and mounting it using the Lustre client meets all criteria. FSx for Lustre is designed for HPC workloads, supporting parallel client access, throughput scaling to tens of gigabytes per second, and sub-millisecond latency. The data repository association automates the ingestion from and exportation to Amazon S3.

Adım Adım Çözüm

1
Select the appropriate storage type for high-performance computing (HPC) with S3 integration.
Amazon FSx for Lustre is selected because it is a parallel file system that supports sub-millisecond latencies, scales to hundreds of gigabytes per second of throughput, and integrates directly with Amazon S3.
Genomic sequencing requires high-throughput parallel access (20 GB/s20\text{ GB/s}) and seamless S3 synchronization, which FSx for Lustre natively provides.
2
Configure the S3 bucket integration using Data Repository Associations (DRA).
A Data Repository Association is configured between the Amazon FSx for Lustre file system and the designated Amazon S3 bucket.
This configuration allows the file system to lazily load raw input datasets from S3 when first requested and to automatically export outputs back to S3.
3
Mount the file system on the EC2 instances using the correct protocol.
The file system is mounted on the EC2 instances using the dedicated Lustre client.
The Lustre client is required to connect to the FSx for Lustre parallel file system and achieve the high-throughput performance characteristics.

Anahtar Kavram

Amazon FSx for Lustre provides high-performance parallel file systems that integrate directly with Amazon S3 using Data Repository Associations, enabling high-performance computing (HPC) applications to process large datasets at low latencies.
Tahmini Süre:2m 30s
Soru 650Soru

An enterprise inventory management application uses Amazon Aurora PostgreSQL as its database engine. The application has strict resiliency requirements: it must achieve high availability within the primary AWS Region with a recovery time objective (RTO) of less than 30 seconds and a recovery point objective (RPO) of zero. Furthermore, for disaster recovery, the database must be replicated to a secondary AWS Region with an RPO of less than 5 seconds and an RTO of less than 15 minutes.

Which combination of database configurations will meet these requirements? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: Configure the database as an Amazon Aurora DB cluster in the primary region with one or more Aurora Replicas in different Availability Zones.; Use Amazon Aurora Global Databases to replicate the database cluster to the secondary AWS Region.

Cevap

To meet the requirements, configure the database as an Amazon Aurora DB cluster in the primary region with one or more Aurora Replicas in different Availability Zones, and use Amazon Aurora Global Databases to replicate the database cluster to the secondary region.
To achieve high availability with an RTO under 30 seconds and RPO of zero in the primary region, deploying an Amazon Aurora DB cluster with one or more Aurora Replicas across different Availability Zones is required. Failover to an Aurora Replica typically completes in less than 30 seconds, and because all instances share the same virtual storage volume, no data is lost. For disaster recovery to a secondary region with an RPO under 5 seconds and RTO under 15 minutes, using Amazon Aurora Global Databases is the appropriate choice. It uses dedicated storage replication with lag typically under 1 second and can be promoted to a primary cluster in minutes.

Adım Adım Çözüm

1
Analyze primary region high availability requirements.
Identify that the primary region requires an RTO of less than 30 seconds and an RPO of zero.
An Amazon Aurora DB cluster with one or more replicas across different Availability Zones provides automatic failover in less than 30 seconds with zero data loss, satisfying the primary region HA constraints.
2
Analyze cross-region disaster recovery requirements.
Identify that the secondary region requires an RPO of less than 5 seconds and an RTO of less than 15 minutes.
Amazon Aurora Global Databases use storage-based physical replication that replicates data in less than 1 second (RPO under 5 seconds) and supports fast failover/promotion of the secondary cluster in less than 1 minute (RTO under 15 minutes).

Anahtar Kavram

Amazon Aurora high availability configurations and disaster recovery options using Global Databases.
Soru 651Soru

A solutions architect is migrating a high-frequency transactional database to an Amazon EC2 instance. The database requires a single storage volume that can deliver at least 95,00095,000 IOPS and 1.5 GB/s1.5\text{ GB/s} throughput with sub-millisecond latency. The database also requires 99.999%99.999\% volume durability to prevent data loss.

Which actions should the solutions architect take to meet these requirements? (Select TWO.)

Geçerli olan tümünü seçin

Cevabı ve açıklamayı göster

Cevap: Provision an Amazon EBS `io2` volume.; Attach the volume to a supported Nitro-based EC2 instance type.

Cevap

Provision an Amazon EBS `io2` volume and attach the volume to a supported Nitro-based EC2 instance type.
To achieve 95,00095,000 IOPS and 1.5 GB/s1.5\text{ GB/s} throughput with sub-millisecond latency and 99.999%99.999\% durability, the storage must utilize Amazon EBS `io2` volumes on EBS Block Express. This requires provisioning an `io2` volume and attaching it to a supported Nitro-based EC2 instance, which automatically enables the Block Express architecture.

Adım Adım Çözüm

1
Identify the volume type that matches the required IOPS, throughput, and durability.
Amazon EBS `gp3` and `io1` volumes do not meet the performance or durability thresholds (with `gp3` limited to 16,00016,000 IOPS and `io1` limited to 64,00064,000 IOPS). Amazon EBS `io2` provides 99.999%99.999\% durability and scales up to 256,000256,000 IOPS on EBS Block Express.
We need to filter out storage volumes that cannot meet the minimum requirements of 95,00095,000 IOPS, 1.5 GB/s1.5\text{ GB/s} throughput, and 99.999%99.999\% durability.
2
Determine the platform configuration required to enable EBS Block Express capabilities.
EBS Block Express is automatically enabled for `io2` volumes when attached to supported Nitro-based EC2 instances (such as `c6in`, `r6in`, or similar compute-optimized/memory-optimized instances).
Standard `io2` volumes on non-supported instances are capped at 64,00064,000 IOPS and will not meet the 95,00095,000 IOPS requirement.

Anahtar Kavram

Amazon EBS Block Express capabilities and volume type limits
Tahmini Süre:2m 30s
Soru 652Soru

A financial analytics firm runs a distributed risk-modeling application across a fleet of 80 Linux-based Amazon EC2 instances. The application requires a shared, POSIX-compliant file system with sub-millisecond latencies, capable of handling an aggregate throughput of up to 40 GB/s40 \text{ GB/s} and 100,000 IOPS100,000 \text{ IOPS} during peak execution. The data set is updated periodically from an Amazon S3 bucket, and the storage must support automatic replication across multiple Availability Zones to ensure high availability. Which combination of storage solutions and configurations should a solutions architect recommend to meet these requirements? (Select TWO.)

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Cevabı ve açıklamayı göster

Cevap: Deploy an Amazon FSx for NetApp ONTAP Multi-AZ scale-out file system with multiple High Availability (HA) pairs to scale aggregate throughput and IOPS.; Mount the shared file system on the EC2 instances using the NFS protocol with the nconnect mount option configured to parallelize TCP connections.

Cevap

Deploy an Amazon FSx for NetApp ONTAP Multi-AZ scale-out file system with multiple High Availability (HA) pairs, and mount it using the NFS protocol with the nconnect option enabled.
Deploying an Amazon FSx for NetApp ONTAP Multi-AZ scale-out file system with multiple High Availability (HA) pairs provides a POSIX-compliant, sub-millisecond latency shared file system that scales up to 72 GB/s72 \text{ GB/s} of throughput and 1.6 million1.6 \text{ million} IOPS. Mounting the file system on the Linux EC2 instances using the NFS protocol with the nconnect mount option enables parallelized TCP connections per instance, allowing the fleet to bypass single-connection performance bottlenecks and scale to the required 40 GB/s40 \text{ GB/s} aggregate throughput.

Adım Adım Çözüm

1
Analyze latency and interface requirements
The application requires a POSIX-compliant shared file system with sub-millisecond latencies, which points to file systems supporting NFS/SMB protocols (such as Amazon EFS or Amazon FSx).
EBS Multi-Attach requires cluster-aware block storage configurations and is restricted to a single Availability Zone, making it unsuitable for multi-AZ shared file access.
2
Evaluate throughput and IOPS scale
The peak performance requirement is 40 GB/s40 \text{ GB/s} throughput and 100,000 IOPS100,000 \text{ IOPS}. Amazon EFS has a peak throughput limit of 30 GB/s30 \text{ GB/s} for reads and 3 GB/s3 \text{ GB/s} for writes, which is insufficient. Amazon FSx for Lustre supports high throughput but is limited to Single-AZ deployments.
Eliminating solutions that cannot meet either the aggregate throughput limit or the Multi-AZ requirements narrows the choice to Amazon FSx for NetApp ONTAP, which scales up to 72 GB/s72 \text{ GB/s} and 1.6 million1.6 \text{ million} IOPS using scale-out HA pairs.
3
Select configuration options to scale single-instance and aggregate performance
To deliver 40 GB/s40 \text{ GB/s} across 80 instances, client network connections must be optimized. The NFS nconnect mount option must be enabled on the client EC2 instances to open multiple TCP connections per instance.
Single TCP connections are restricted in network throughput. Parallelizing TCP connections via nconnect is a standard practice to maximize data transfer rates to Amazon FSx for NetApp ONTAP.

Anahtar Kavram

High-throughput and low-latency shared storage architectures on AWS using Amazon FSx for NetApp ONTAP with client-side performance optimizations.
Tahmini Süre:3m 0s
Soru 653Soru

A financial services company hosts a web application across two AWS Regions: us-west-2 and eu-central-1. The application is deployed behind Application Load Balancers (ALBs) in both Regions to serve users in North America and Europe. Users are reporting high latency and poor connection stability during peak hours. The company requires a solution that minimizes latency by routing user traffic over the AWS global network backbone. The solution must also provide automatic failover in less than 30 seconds if a Region becomes unhealthy, without relying on DNS caching. Which solution should a solutions architect recommend to meet these requirements?

Cevabı ve açıklamayı göster

Cevap: Deploy AWS Global Accelerator and register the Application Load Balancers in both Regions as endpoints.

Cevap

Deploy AWS Global Accelerator and register the Application Load Balancers in both Regions as endpoints.
Deploying AWS Global Accelerator is the correct solution because it utilizes Anycast IP addresses to route user traffic to the nearest AWS Edge Location. From there, traffic travels over the AWS global network backbone, which significantly improves network performance and stability by reducing latency and jitter. Furthermore, AWS Global Accelerator monitors the health of the Application Load Balancers in both Regions and automatically redirects traffic to the healthy Region in less than 30 seconds. Since the Anycast IP addresses do not change, this failover mechanism completely bypasses DNS caching.

Adım Adım Çözüm

1
Analyze the requirements for network path optimization, low latency, and sub-30 second automatic failover without DNS caching.
Identify that DNS-based solutions like Route 53 cannot meet the failover time constraint due to client and resolver TTL caching.
DNS records are cached globally, making immediate redirection of client traffic during an outage unreliable through DNS adjustments alone.
2
Evaluate AWS services that bypass DNS caching and route traffic over the AWS global network backbone.
Determine that AWS Global Accelerator uses Anycast IP addresses to onboard client traffic at the nearest AWS edge location and route it over the internal backbone.
Anycast IPs remain constant, eliminating DNS propagation delay, while routing over the AWS backbone reduces latency and packet loss compared to the public internet.
3
Select the option that configures the application load balancers as endpoints behind AWS Global Accelerator.
Confirm that AWS Global Accelerator performs active health checks on the registered ALBs and automatically routes traffic away from unhealthy endpoints in under 30 seconds.
This directly fulfills the requirements for low latency, backbone routing, and fast, non-cached regional failover.

Anahtar Kavram

AWS Global Accelerator vs Route 53 Latency Routing
Tahmini Süre:1m 30s
Soru 654Soru

A company is deploying a containerized application across a fleet of Amazon EC2 instances distributed across multiple Availability Zones. The application requires a shared file system where all EC2 instances can concurrently read and write files with sub-millisecond latency. The storage solution must scale throughput automatically based on workload demand without requiring manual provisioning. Which storage solution should a solutions architect recommend to meet these requirements?

Cevabı ve açıklamayı göster

Cevap: Deploy Amazon Elastic File System (Amazon EFS) configured with Elastic Throughput.

Cevap

Deploy Amazon Elastic File System (Amazon EFS) configured with Elastic Throughput.
Amazon Elastic File System (Amazon EFS) is a serverless, shared file system designed to be mounted concurrently by EC2 instances across multiple Availability Zones. By configuring it with Elastic Throughput, the file system automatically scales throughput capacity in response to workload activity, meeting the requirement for automated scaling without manual provisioning.

Adım Adım Çözüm

1
Analyze workload requirements.
Identify that the system requires shared concurrent file access across multiple Availability Zones, automatic scaling of throughput, and sub-millisecond latencies.
This establishes the constraints needed to filter out block-level or single-AZ storage solutions.
2
Evaluate EBS options against the multi-AZ concurrent access constraint.
Determine that EBS gp3 and io2 do not natively support multi-AZ shared access.
EBS gp3 is limited to a single instance, and io2 Multi-Attach is restricted to a single Availability Zone and requires cluster-aware application coordination.
3
Evaluate Amazon EFS and S3 file gateway solutions.
Select Amazon EFS as the native POSIX-compliant shared file system.
S3 mounts via FUSE utilities cannot guarantee low-latency POSIX operations, while EFS is designed for shared, scalable multi-AZ access.
4
Configure the throughput mode for EFS.
Choose Elastic Throughput mode.
Elastic Throughput automatically adjusts throughput performance in response to the application's workload, satisfying the automated scaling constraint.

Anahtar Kavram

Shared file systems across multiple Availability Zones with automated throughput provisioning using Amazon EFS.
Tahmini Süre:1m 30s
Soru 655Soru

An IoT-connected vehicle telemetry platform processes real-time diagnostics data using Amazon EC2 instances distributed across three Availability Zones. The application requires a shared file storage layer that supports POSIX-compliant file operations, concurrent access from all EC2 instances, and sub-millisecond latencies. Additionally, the business requires a disaster recovery (DR) solution in a secondary AWS Region with a Recovery Point Objective (RPO) of 15 minutes and a Recovery Time Objective (RTO) of 5 minutes. Which combination of storage configurations will meet these requirements? (Select TWO).

Geçerli olan tümünü seçin

Cevabı ve açıklamayı göster

Cevap: Create an Amazon Elastic File System (Amazon EFS) file system using the Standard storage class and configure mount targets in each Availability Zone.; Configure Amazon EFS Replication to replicate the file system to a destination Amazon EFS file system in the secondary AWS Region.

Cevap

Creating an Amazon EFS file system with the Standard storage class across multiple Availability Zones combined with Amazon EFS Replication to a secondary AWS Region.
The combination of deploying Amazon EFS with the Standard storage class and configuring EFS Replication meets all requirements. Amazon EFS provides the necessary POSIX compliance and allows concurrent access from EC2 instances in multiple Availability Zones. Configuring EFS Replication to a secondary region replicates data within minutes, fulfilling the 15-minute RPO, and the destination file system is instantly mountable, satisfying the 5-minute RTO.

Adım Adım Çözüm

1
Select a shared file system that supports POSIX compliance and concurrent access across multiple Availability Zones.
Choose Amazon Elastic File System (Amazon EFS) with the Standard storage class.
Amazon EFS Standard is designed for Multi-AZ deployments and supports concurrent access from EC2 instances across multiple Availability Zones with low latency, unlike EBS volumes which are locked to a single AZ.
2
Choose a replication mechanism that achieves a low Recovery Point Objective (RPO) and Recovery Time Objective (RTO) in a secondary AWS Region.
Enable Amazon EFS Replication to a destination file system in the secondary AWS Region.
Amazon EFS Replication replicates data asynchronously to a secondary region, achieving an RPO of minutes and an RTO of minutes since the destination file system is already active and ready to mount.

Anahtar Kavram

Multi-AZ shared file storage with low latency combined with sub-minute regional replication.
Soru 656Soru

A company is setting up a hybrid network to replicate database transactions from an on-premises data center to an AWS VPC. The replication process requires a consistent network throughput of 2 Gbps2\text{ Gbps} and must use a private, dedicated physical connection to minimize latency. Which network architecture solution should the systems architect implement to meet these requirements?

Cevabı ve açıklamayı göster

Cevap: AWS Direct Connect with a dedicated 10 Gbps10\text{ Gbps} connection.

Cevap

AWS Direct Connect with a dedicated 10 Gbps10\text{ Gbps} connection.
AWS Direct Connect establishes a private, physical network connection from an on-premises data center to AWS. A dedicated 10 Gbps10\text{ Gbps} connection satisfies the requirements of bypassing the public internet and easily sustaining the 2 Gbps2\text{ Gbps} traffic with low latency.

Adım Adım Çözüm

1
Analyze the requirements for hybrid connectivity.
The requirements dictate a minimum throughput of 2 Gbps2\text{ Gbps} and a private, dedicated physical network connection.
To filter out internet-based solutions or services with throughput limits below 2 Gbps2\text{ Gbps}.
2
Evaluate the capabilities of the proposed network solutions.
AWS Direct Connect offers dedicated connections of 1 Gbps1\text{ Gbps} or 10 Gbps10\text{ Gbps} over a private link, meeting all requirements. AWS Site-to-Site VPN runs over the internet and is limited to 1.25 Gbps1.25\text{ Gbps} per tunnel.
Determining the correct service that matches the physical connection and throughput constraints.

Anahtar Kavram

AWS Direct Connect provides dedicated, private physical network connections to AWS that deliver consistent performance, high throughput, and low latency by bypassing the public internet.
Tahmini Süre:45s
Soru 657Soru

A team of developers is setting up a collaborative development environment on AWS. They are running 33 separate Amazon EC2 instances, each in a different Availability Zone. The developers need to access and modify a shared directory containing source code and configurations simultaneously from all 33 instances. Which storage solution should a solutions architect recommend to meet these requirements?

Cevabı ve açıklamayı göster

Cevap: Amazon Elastic File System (Amazon EFS) file system

Cevap

Amazon Elastic File System (Amazon EFS) file system
Amazon Elastic File System (Amazon EFS) is the correct choice because it is a fully managed, serverless, POSIX-compliant shared file system. It supports simultaneous mount operations and concurrent read/write access from multiple Amazon EC2 instances located in different Availability Zones within a region.

Adım Adım Çözüm

1
Analyze the storage requirement for simultaneous multi-instance and multi-Availability Zone read/write access.
Identify that the storage solution must support a shared file system (POSIX-compliant) across different Availability Zones concurrently.
The developers need to access and modify the same directory of source code from three instances in different Availability Zones at the same time.
2
Evaluate Amazon Elastic Block Store (EBS) options against the multi-AZ and concurrent mounting requirements.
EBS gp3 volumes cannot be shared across instances, and EBS io2 volumes with Multi-Attach are limited to a single Availability Zone.
EBS is block storage and generally limited to a single instance, and Multi-Attach does not span across multiple Availability Zones.
3
Evaluate Amazon Elastic File System (EFS) and Amazon S3 Glacier against the requirements.
Amazon EFS natively supports POSIX compliance and concurrent multi-AZ access, while Glacier is an archival service unsuitable for live file systems.
Amazon EFS is designed specifically for shared, low-latency, multi-AZ file storage, which fits the developer collaborative environment perfectly.

Anahtar Kavram

Shared, multi-AZ POSIX-compliant file storage with Amazon EFS
Soru 658Soru

A company hosts a web application deployed across two AWS Regions: `us-east-1` and `ap-northeast-1`. The user-facing component of the application uses Application Load Balancers (ALBs) in both Regions. The company wants to minimize latency for global users by routing their traffic over the AWS private network backbone to the nearest ALB. Additionally, the backend database tier requires a secure, high-throughput connection to replicate transaction logs averaging 3 Gbps3\text{ Gbps} between VPCs in both Regions. The solution must optimize throughput and latency while maintaining high availability.

Which TWO actions should the solutions architect take to meet these requirements?

Geçerli olan tümünü seçin

Cevabı ve açıklamayı göster

Cevap: Create an AWS Global Accelerator accelerator and register the Application Load Balancers in both Regions as endpoints.; Establish an inter-Region VPC peering connection between the database VPCs in us-east-1 and ap-northeast-1.

Cevap

Registering the Application Load Balancers as endpoints in AWS Global Accelerator, and establishing an inter-Region VPC peering connection between the database VPCs.
AWS Global Accelerator minimizes latency for global users by routing their traffic over the AWS global private network backbone via Anycast IP addresses, rather than relying on the public internet. For database replication requiring 3 Gbps3\text{ Gbps} throughput between Regions, inter-Region VPC peering provides direct, high-bandwidth routing over the AWS global network backbone with no single point of failure or artificial bandwidth limitations.

Adım Adım Çözüm

1
Evaluate the user-facing latency requirements.
Identify that global user traffic must be routed over the AWS private backbone to minimize latency. AWS Global Accelerator ingests traffic at the edge and carries it over the AWS global network, unlike Route 53 latency routing which resolves DNS but lets traffic flow over the public internet.
Meets the requirement to minimize latency and route user-facing traffic over the AWS private network backbone.
2
Evaluate the database replication throughput requirements.
Identify that the database requires 3 Gbps3\text{ Gbps} bandwidth. A Site-to-Site VPN tunnel has a limit of 1.25 Gbps1.25\text{ Gbps} and would be bottlenecked. Inter-Region VPC peering has no bandwidth limits and routes traffic over the AWS global network privately.
Allows high-throughput database replication without artificial limits.
3
Verify network security and stateful communication.
Confirm that blocking inbound traffic in stateless Network ACLs breaks TCP connections due to the stateless nature of NACLs, which require both inbound and outbound rules for ephemeral port communication.
Prevents network misconfigurations that disrupt database synchronization.

Anahtar Kavram

AWS Global Accelerator provides global latency optimization over the AWS backbone, and inter-Region VPC peering provides scalable, high-throughput private communication between Regions without VPN bandwidth limits.
Tahmini Süre:2m 0s
Soru 659Soru

A digital marketing agency runs a media processing application on Amazon EC2 instances distributed across multiple Availability Zones in the us-east-1 Region. The application requires a shared file storage solution that offers at least 99.99%99.99\% availability and high durability for active assets. Additionally, the architecture must support a Recovery Time Objective (RTO) of near-zero minutes and a Recovery Point Objective (RPO) of 00 for all active editing sessions. The storage must allow simultaneous read and write access from all EC2 instances across the Availability Zones. Which storage solution should a solutions architect recommend to meet these requirements?

Cevabı ve açıklamayı göster

Cevap: Configure an Amazon EFS file system using the Standard storage class to mount across all EC2 instances.

Cevap

Configure an Amazon EFS file system using the Standard storage class to mount across all EC2 instances.
Amazon EFS is a fully managed, shared file system designed to be highly resilient and available across multiple Availability Zones. The Standard storage class replicates data across multiple AZs in a Region, ensuring high durability, 99.99%99.99\% availability, and immediate, concurrent read/write access. This fulfills the near-zero RTO and RPO requirements for active media editing sessions.

Adım Adım Çözüm

1
Identify the storage access requirements for the application.
The application requires shared file storage that allows simultaneous read/write access from multiple EC2 instances distributed across different Availability Zones.
This rules out standard Amazon EBS volumes, which are restricted to a single Availability Zone and do not support multi-instance mounting across AZ boundaries.
2
Evaluate the recovery objectives (RTO and RPO) and availability targets.
The solution must deliver at least 99.99%99.99\% availability, a near-zero RTO, and an RPO of 00.
Amazon EFS Standard synchronously replicates data across multiple Availability Zones, ensuring high resilience, instant failover, and zero data loss in the event of an AZ disruption.
3
Select the correct service class and eliminate sub-optimal storage classes.
Amazon EFS Standard is selected, as archive solutions like Amazon S3 Glacier introduce retrieval latency that violates the near-zero RTO.
EFS Standard satisfies all constraints of shared access, high durability, high availability, and instant availability of data.

Anahtar Kavram

Amazon EFS provides highly available, multi-AZ elastic file storage that supports concurrent read/write operations from multiple EC2 instances, meeting strict recovery objectives (RTO/RPO) for shared active file systems.
Soru 660Soru

An application is running on a single-node Amazon RDS for PostgreSQL DB instance. The database requires high availability with automatic failover in the event of an Availability Zone outage. Additionally, the application requires read performance scaling. Which TWO configurations or features should a solutions architect implement to meet these requirements? (Select TWO.)

Geçerli olan tümünü seçin

Cevabı ve açıklamayı göster

Cevap: Enable Multi-AZ deployment for the Amazon RDS DB instance; Create one or more RDS Read Replicas in different Availability Zones

Cevap

Enabling Multi-AZ deployment for the Amazon RDS DB instance and creating one or more RDS Read Replicas in different Availability Zones.
To achieve high availability and automatic failover for an Amazon RDS database, a Multi-AZ deployment must be configured because it automatically replicates data synchronously to a standby instance in another Availability Zone. To scale read queries and performance, deploying RDS Read Replicas is the appropriate solution because it allows read operations to be offloaded from the primary write instance.

Adım Adım Çözüm

1
Address the high availability and automatic failover requirement within the region.
Enable RDS Multi-AZ deployment.
RDS Multi-AZ replication is synchronous and automatically fails over to the standby replica in another Availability Zone if the primary zone fails.
2
Address the read performance scaling requirement.
Create RDS Read Replicas.
RDS Read Replicas offload read operations from the primary DB instance, allowing read scaling.

Anahtar Kavram

RDS Multi-AZ is used for high availability and automatic failover, whereas Read Replicas are used to scale read traffic.
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Tüm alıştırma soruları — AWS Certified Solutions Architect - Associate | Examkin