Design Infrastructure Solutions

A pharmaceutical company is planning to migrate a proprietary drug-discovery modeling application to Azure. The application has the following requirements:
- The virtual machines must run on hardware dedicated to a single customer at the physical host level to meet compliance standards.
- The workload requires a memory-to-vCPU ratio of at least $8$ GiB of RAM per vCPU.
- The workload is steady-state, runs continuously, and cannot tolerate unexpected eviction or downtime.
- The storage layer requires a single disk that provides $10,000$ IOPS and $200$ MB/s throughput, with the capability to dynamically scale IOPS without resizing the disk.
- The architecture must guarantee a $99.99\%$ VM availability SLA.

Which of the following compute virtualization and storage solutions should you recommend to meet these requirements?

A healthcare analytics company is designing the Azure compute and storage infrastructure for a new real-time patient health tracking application. The architecture must satisfy the following requirements:
- The analytics engine runs steady-state, 24/7, and processes highly sensitive health records. It must protect data in use via hardware-based memory encryption.
- The compute layer must automatically scale out to handle peak loads.
- The compute infrastructure must achieve a 99.99% availability Service Level Agreement (SLA).
- The database engine stores transaction logs that require high IOPS and sub-millisecond write latency.

Which virtual machine configuration and storage architecture should you recommend?

A financial services company is designing a new cloud-native application on Azure. The application will consist of several containerized microservices that process transactions.

The design requirements are as follows:
* The microservices must scale dynamically based on the number of messages in an Azure Service Bus queue using Kubernetes Event-driven Autoscaling (KEDA).
* Administrative effort for infrastructure management, such as cluster upgrades and node patching, must be minimized.
* The application does not require direct access to the Kubernetes API or custom resource definitions (CRDs).
* The application must be deployed across two different Azure regions to comply with strict regional data sovereignty laws. Log data originating from each region must be kept isolated and accessible only within that region.

You need to recommend a solution that meets the requirements.

Which solution should you recommend?

A digital media broadcasting company is designing an Azure compute infrastructure for two new workloads:
- Workload 1: A video rendering system that processes non-urgent, interruptible background encoding tasks. The primary goal is to minimize compute costs, even if virtual machines are evicted during processing.
- Workload 2: A core licensing service that processes cryptographic keys, handles highly sensitive user data, requires physical isolation at the hardware level due to regulatory compliance, and must run continuously with a 99.99% availability SLA.

Which two compute virtualization solutions should you recommend to meet the requirements for these workloads? (Select two.)

An organization is designing a container-based application on Azure that consists of public-facing web microservices and background processing jobs.

The application has the following requirements:
- The background processing jobs must scale dynamically to zero based on the number of messages in an Azure Service Bus queue.
- The web microservices must scale based on concurrent HTTP requests.
- You must minimize the administrative effort required to manage the container hosting infrastructure.
- You must store application logs in a way that strictly isolates development environment data from production environment data.

Which two components should you recommend as part of the architecture? (Select two.)

You are designing the hosting infrastructure for a new event-driven image processing solution in Azure. The solution has the following workloads:

* API Ingestion: A lightweight endpoint that receives image upload metadata. It requires rapid auto-scaling to handle unpredictable spikes in traffic, and it must scale to zero instances during idle periods to minimize costs. It does not require virtual network (VNet) integration.
* Image Analyzer: A background processor that pulls image analysis tasks from a queue, processes the images, and writes the output to an Azure SQL Database. The processor requires VNet integration to connect securely to the database via a private endpoint, can take up to $15$ minutes to process a single complex image, and must scale to zero instances when the queue is empty to minimize costs.

Which compute configuration should you recommend to meet these requirements?

A multinational bank is designing the compute virtualization infrastructure for a critical, steady-state financial compliance auditing application. The application has the following requirements:

- Must run continuously $24$ hours a day, $7$ days a week ($24/7$) without unexpected evictions or interruptions.
- Must be deployed on physical servers dedicated to a single customer to satisfy hardware isolation compliance rules.
- Must support memory-optimized virtual machines with high memory-to-vCPU ratios.
- Must achieve a minimum compute availability SLA of $99.99\%$.

Which of the following compute virtualization solutions should you recommend to meet these requirements?

A retail company is designing the hosting architecture for a new serverless order management system. The solution must host two distinct services:

1. An order intake service that processes incoming HTTP webhooks. This service must scale dynamically to zero when idle and executes for less than three minutes per invocation.
2. A data ingestion background service that processes large files from a storage queue. Each message processing job runs continuously and can take up to 25 minutes to complete.

Which two Azure hosting options should you recommend to meet these requirements while minimizing administrative overhead? (Select TWO.)

A logistics company is designing a new cloud-native fleet tracking solution on Azure. The solution requires hosting two distinct workloads:

* A real-time telemetry service that processes GPS events from delivery vehicles. This service must scale out dynamically based on the number of pending messages in an Azure Service Bus queue using KEDA.
* A route optimization batch job that runs once per day, processes historical route data to completion, and then terminates.

The solution must minimize administrative effort.

Which two services should you recommend?

An enterprise plans to migrate a legacy batch processing utility to Azure. The utility is currently packaged as a Linux container. The migrated workload must meet the following requirements:
- It must execute once a day, triggered by a message in an Azure Queue Storage queue.
- Each execution takes between 25 and 45 minutes to complete.
- It must securely access an Azure SQL Database that is restricted to a private endpoint within a virtual network.
- To minimize costs, no compute charges must be incurred when the utility is idle.
- Administrative and infrastructure management overhead must be minimized.

Which Azure compute solution should you recommend?

A company is planning to deploy a web application on Azure and requires a load balancing solution. The solution must support SSL/TLS termination at the load balancer level and URL path-based routing (such as routing requests for '/video/*' to a specific backend pool).

Which of the following Azure services support these requirements? (Select TWO)

You are designing the serverless compute architecture for a telemetry processing solution. The solution must support two workloads:

* Workload 1: An HTTPS ingestion endpoint that receives telemetry data in unpredictable spikes. The endpoint must scale to zero when idle, support outbound virtual network (VNet) integration to connect to a private backend database, and minimize cold-start latency.
* Workload 2: A batch processing job that runs whenever a new raw data file is uploaded to Azure Blob Storage. Each execution performs complex transformations and takes approximately $15$ minutes to complete.

Which two hosting plans should you recommend to meet the requirements for the workloads? (Select two.)

A retail logistics company is designing the compute infrastructure for a new real-time inventory routing engine. The system has the following requirements:
- Must run continuously 24/7 as a steady-state production workload with a guaranteed virtual machine uptime SLA of 99.99%.
- Requires memory-optimized compute resources offering at least 8 GB of RAM per vCPU.
- Requires high-performance storage capable of sustaining at least 50,000 IOPS.
- Must ensure that data is encrypted in memory during execution to comply with strict internal data security standards.

Which compute and storage architecture should you recommend to meet these requirements?

A media company is designing a new cloud-native video processing platform on Azure. The platform must host containerized microservices that perform video encoding. The microservices must scale dynamically based on the number of messages in an Azure Service Bus queue using Kubernetes Event-driven Autoscaling (KEDA). The design must minimize the administrative and operational effort of managing container infrastructure. Which Azure service should you recommend?

An agricultural technology company is designing the compute virtualization infrastructure for two distinct workloads:

* Workload A: A continuous, time-sensitive telemetry ingestion service that processes real-time sensor data from global farms. It must run 24/7, guarantee $99.99\%$ availability, and maintain low, predictable disk and network latency.
* Workload B: A batch-processing machine learning model that analyzes historical weather patterns to generate seasonal yield predictions. The model runs once a week, takes approximately $6$ hours to complete, and can resume from checkpoints if interrupted.

The company wants to minimize compute costs for Workload B while ensuring Workload A meets its performance and availability SLAs. Which two compute configurations should you recommend to meet these requirements?

A financial technology company is designing a container-based background processing service on Azure. The service must retrieve and process transaction records from an Azure Service Bus queue. Each transaction record takes up to $12$ minutes to process.

The solution must meet the following requirements:
- Automatically scale down to zero instances when no messages are in the queue.
- Scale out dynamically based on the queue depth using Kubernetes Event-driven Autoscaling (KEDA).
- Support strict regulatory compliance requiring complete administrative and network isolation between production and development environments.
- Minimize administrative effort and operational overhead.

Which two configurations should you recommend as part of the architecture? (Select two.)

A healthcare provider is deploying a regional medical records synchronization service on virtual machines in a single Azure region. The service requires low-latency TCP communication on port 5000, does not require SSL/TLS termination, and does not require URL-based routing. To distribute traffic, the provider attempts to configure an Azure Standard Load Balancer. However, the deployment fails because the backend virtual machines are associated with Basic SKU public IP addresses.

Which action should you recommend to resolve the deployment failure while meeting all service requirements?

An educational technology company is designing a system that automatically executes and grades programming assignments submitted by students.

The grading process has the following requirements:
* Each submission must run in an isolated, sandboxed container.
* The execution of a grading job takes between 2 and 15 minutes to complete.
* The system must dynamically scale the number of running containers based on the queue depth of an Azure Service Bus queue containing the submissions.
* To meet strict audit requirements for regional data sovereignty, student execution logs must be isolated within their respective geographic regions and not cross regional boundaries.
* The company wants to minimize the administrative effort required to manage infrastructure, container orchestration, and virtual machine nodes.

You need to design the compute and monitoring solution for the grading system.

Which solution should you recommend?

An enterprise is modernizing a regional database application that uses TCP port 1433 for replication. The application is hosted on a pool of Azure Virtual Machines within a single region. The design requires a regional load balancer to distribute the TCP traffic without needing SSL/TLS termination or application-layer (HTTP/HTTPS) routing. You plan to deploy an Azure Standard Load Balancer.

Which two configurations are required to ensure the virtual machines can be successfully associated with the backend pool of the Standard Load Balancer? (Choose two.)

A company is planning to migrate two containerized workloads to Azure:

* Workload 1: A workflow orchestrator engine that requires direct access to the Kubernetes API and uses custom resource definitions (CRDs) to manage external resources.
* Workload 2: A set of background processing microservices that process messages from Azure Service Bus queues and must scale to zero when no messages are present. The operations team wants to minimize cluster administration and infrastructure management effort for this workload.

Which two Azure container hosting services should you recommend?