AZ-204 Develop Azure compute solutions Practice Test 4 — 15 Questions

Question 1

You are deploying a background processing job that reads messages from an Azure Storage Queue. The job must run on the same compute resources as the main web application and must not require additional deployment or monitoring overhead. Which solution should you use?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Add an Azure WebJob to the App Service that hosts the main application.. Azure WebJobs run in the same App Service plan as the main web application, sharing compute resources without requiring separate deployment or monitoring. A WebJob with a continuous trigger can read from an Azure Storage Queue using the QueueTrigger attribute, meeting the requirement of no additional overhead.

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Deploy an Azure Function with a Queue trigger on the Consumption plan.

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Create a separate Azure Container Instance to run a continuous job.

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Use Azure Logic Apps with a recurrence trigger to poll the queue.

Question 2

You need to deploy a container that runs a simple web server on Azure Container Instances. The container should be accessible via a public IP address. Which property should you set in the container group configuration?

Accepted Answer

ipAddress.type = "Public". To make a container group accessible from the internet via a public IP address, you must set the `ipAddress.type` property to `"Public"`. This instructs Azure Container Instances to assign a public IP and optionally a fully qualified domain name (FQDN) to the container group, allowing inbound traffic from the internet to reach the container's exposed ports.

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osType = "Linux"

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restartPolicy = "Always"

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volumes.mountPath = "/mnt"

Question 3

You are deploying a Docker container to Azure Container Instances (ACI). The container must use GPU resources for machine learning inference. You need to select the appropriate option to provision GPU-enabled containers. What should you do?

Accepted Answer

Deploy the container to a container group with a GPU-enabled SKU (e.g., NV series).. Azure Container Instances supports GPU resources only when you deploy a container group using a GPU-optimized SKU, such as the NV-series (e.g., Standard_NC6s_v3). These SKUs provide NVIDIA Tesla GPUs (e.g., K80, P100, V100) that are directly exposed to the container, enabling hardware-accelerated machine learning inference. You must specify the GPU SKU in the container group's resource requests during deployment, and the container image must include the appropriate NVIDIA CUDA drivers or runtime.

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Mount a GPU volume from the host.

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Use Azure Batch with GPU-enabled pools.

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Enable container GPU support in the Dockerfile.

Question 4

You are deploying a containerized application to Azure Container Instances. The application requires a custom domain name and SSL/TLS termination. You need to configure these features. Which resource should you create alongside the container group?

Accepted Answer

Azure Application Gateway. Azure Application Gateway provides Layer 7 load balancing with SSL/TLS termination and custom domain support. By associating a custom domain with the Application Gateway's frontend IP and uploading an SSL certificate, you can terminate HTTPS connections at the gateway and forward traffic to the container group over HTTP. This meets the requirement without exposing the container group directly.

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Azure Front Door

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Azure Container Registry

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Azure DNS zone

Question 5

You develop an Azure Function app that processes orders. The function must write order status updates to a database. You need to ensure that if the function fails after writing to the database, the order is not lost and can be retried. Which pattern should you implement?

Accepted Answer

Use a Durable Functions orchestration. Durable Functions orchestrations provide built-in support for reliable execution and automatic retry on failure. By using an orchestration, you can write the order status to the database as an activity function, and if the function fails after the write, the orchestration can replay from the last checkpoint, ensuring the order is not lost and can be retried without duplicating the write.

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Use a retry policy in the function code

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Enable function-level exception handling

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Use an Azure Storage Queue for the function input

Question 6

You are building a serverless image-processing solution using Azure Functions. The function must automatically run whenever a new image is uploaded to a blob container and must scale out to handle high upload volumes. Which trigger and hosting plan should you use?

Accepted Answer

Blob trigger with Consumption plan. The Blob trigger is designed to automatically execute a function when a blob is created or updated in Azure Blob Storage, making it the correct choice for an image-processing solution that must run on new uploads. The Consumption plan provides automatic scaling to handle high upload volumes by allocating resources on demand, which aligns with the serverless, event-driven requirement.

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Timer trigger with Consumption plan

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HTTP trigger with Premium plan

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Queue trigger with App Service plan

Question 7

You deploy a container to Azure Container Instances (ACI). The container runs a background job that should automatically restart only if it exits with a non-zero exit code (i.e., crashes). You want to minimize costs. Which restart policy should you configure?

Accepted Answer

Set restart policy to OnFailure and use a single container group. The OnFailure restart policy restarts the container only when it exits with a non-zero exit code, which matches the requirement to restart only on crashes. This policy minimizes costs because the container does not run continuously when it exits successfully, unlike the Always policy. Using a single container group is the simplest and most cost-effective deployment for a single background job.

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Set restart policy to Always and use a private container registry

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Set restart policy to Never and use a public container registry

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Set restart policy to OnFailure and deploy in a virtual network

Question 8

You are deploying a containerized application to Azure Container Instances (ACI). The application writes temporary data to a local disk that must persist across container restarts (e.g., after a crash). Which configuration should you use?

Accepted Answer

Mount an Azure Files share as a volume in the container group.. Azure Container Instances (ACI) supports mounting an Azure Files share as a persistent volume. When a container restarts (e.g., after a crash), the temporary disk is wiped, but data written to an Azure Files share persists independently of the container's lifecycle. This meets the requirement for data to survive container restarts.

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Use the temporary disk automatically allocated by ACI.

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Store data in an Azure Cosmos DB database.

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Use an emptyDir volume as available in Kubernetes.

Question 9

You are developing an Azure Function that runs on a Consumption Plan. The function calls an external API that enforces a rate limit of 10 requests per second. When the function scales out to multiple instances, you must ensure the rate limit is not exceeded. Which pattern should you implement?

Accepted Answer

Use a queue-based load leveling pattern with an Azure Storage Queue.. A queue-based load leveling pattern uses an Azure Storage Queue to buffer incoming requests, allowing the function to process them at a controlled rate. This decouples the function's scaling from the external API's rate limit, ensuring that even with multiple function instances, the total request rate does not exceed 10 requests per second. The queue acts as a buffer, and the function can be configured to dequeue and process messages at a fixed rate, effectively smoothing out spikes in demand.

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Use a singleton attribute on the function to ensure only one instance runs.

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Use a static SemaphoreSlim in the function code to limit concurrent calls.

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Configure the function's host.json to limit concurrency to 1.

Question 10

You deploy a containerized background job to Azure Container Instances (ACI). The job should automatically restart only if it exits with a non-zero exit code (i.e., crashes). You want to minimize costs. Which restart policy should you configure?

Accepted Answer

OnFailure. The OnFailure restart policy is correct because it restarts the container only when it exits with a non-zero exit code, indicating a crash or error. This matches the requirement to automatically restart only on failure while minimizing costs, as it avoids unnecessary restarts on successful completions.

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Always

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Never

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Retry

Question 11

You are developing an Azure Function that processes messages from an Azure Service Bus queue. The function uses a Service Bus queue trigger and runs on a Consumption Plan. The queue receives a high volume of messages in bursts. You need to ensure that the function scales out to handle the load but does not exceed 10 concurrent instances. Which configuration should you apply?

Accepted Answer

Set the 'functionAppScaleLimit' application setting to 10 in the function app.. The 'functionAppScaleLimit' application setting controls the maximum number of instances for a function app running on the Consumption plan. Setting it to 10 ensures the app does not scale beyond 10 instances. The 'maxConcurrentCalls' property only limits per-instance concurrency.

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Set the 'maxConcurrentCalls' property to 10 in the host.json file.

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Set the 'maxMessageBatchSize' property to 10 in the host.json file.

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Restrict the Service Bus queue to have a maximum concurrency of 10 at the namespace level.

Question 12

You deploy a containerized web application to Azure Container Instances (ACI). The application writes session data to a local directory. You need the data to persist across container restarts (e.g., after a crash or redeployment). Which storage configuration should you use?

Accepted Answer

Mount an Azure Files share as a volume in the container group.. Azure Files provides a fully managed SMB file share in the cloud that can be mounted as a volume in an Azure Container Instance. This allows session data written to the local directory to persist across container restarts, crashes, or redeployments, as the data lives on the share rather than in the ephemeral container filesystem.

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Use an emptyDir volume within the container group.

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Use the container's own filesystem and copy data to a blob storage on shutdown.

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Enable Azure Disk Encryption on the container group.

Question 13

You are developing an Azure Function that uses a Service Bus queue trigger. You need to ensure that the function processes messages one at a time to guarantee order. Which configuration should you use?

Accepted Answer

Set the batchSize to 1 in host.json. Setting `batchSize` to 1 in `host.json` forces the Service Bus trigger to process only one message at a time from the queue. This ensures strict message ordering, as the function will not fetch or process the next message until the current one is completed (either successfully or moved to the dead-letter queue). The Service Bus trigger uses a message pump that respects the `batchSize` setting to control concurrency.

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Set the maxMessages to 1 in the ServiceBusTrigger attribute

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Set the function to run on a Premium Plan

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Set the maxDequeueCount to 1 in host.json

Question 14

You are developing a solution that needs to run a background task every 10 minutes to clean up temporary files in Azure Blob Storage. You want to use Azure Functions with the Consumption Plan to minimize cost. Which trigger type should you use?

Accepted Answer

TimerTrigger. B is correct because TimerTrigger is designed for scheduled execution of background tasks at fixed intervals, such as every 10 minutes. It uses a cron expression to define the schedule and runs on the Consumption Plan, which scales to zero when idle, minimizing cost. This makes it the ideal choice for periodic cleanup of temporary files in Azure Blob Storage.

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HTTPTrigger

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BlobTrigger

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ServiceBusTrigger

Question 15

You are developing a solution that needs to perform a multi-step workflow. The workflow involves calling several third-party APIs, and some steps may require waiting for a human approval via email. The workflow may run for hours. You want to use Azure Functions to implement this orchestration. Which Azure Functions feature should you use?

Accepted Answer

Durable Functions. Durable Functions is the correct choice because it is an extension of Azure Functions that enables stateful, long-running orchestration workflows. It supports waiting for external events (like human approval via email), managing multi-step API calls, and handling execution that may run for hours, all while preserving state through checkpoints and replay.

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Timer trigger functions

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Service Bus queue trigger functions

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Blob storage trigger functions