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| Section | Objectives |
|---|---|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Connect to and consume Azure services | - Integrate Azure services
|
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NEW QUESTION # 45
You deploy multiple instances of a change feed processor to handle a high ingestion rate within Azure Cosmos DB for NoSQL.
Each processor instance must process a different subset of partitions.
You need to ensure the workload is load-balanced across all processor instances.
What should you configure?
Answer: A
NEW QUESTION # 46
You are implementing the expiration requirement for AI-generated summaries in the Redis cache.
You need to purge the AI summaries five minutes after creation, regardless of how often they are accessed.
What should you do?
Answer: A
Explanation:
TTL (Time-To-Live) with a fixed duration of five minutes is the exact Redis feature you need to purge AI-generated summaries regardless of access frequency.
Redis TTL and Expiration Features
Core Expiration Feature
EXPIRE command: Sets a timeout in seconds on a key. Use EXPIRE key 300 to remove the summary after 300 seconds (five minutes).
PX command: Sets a timeout in milliseconds. Use PX key 300000 for precise millisecond control.
EXPIREAT / PEXPIREAT: Sets an absolute Unix timestamp for expiration instead of a relative duration.
Reference:
https://dev.to/truongpx396/30-common-redis-interview-questions-1ai
NEW QUESTION # 47
You have a newly provisioned Azure subscription. You are designing a custom Event Grid workflow for AI inference events.
You need to implement the Event Grid components to support routing of high-confidence events to a downstream processor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Verified answer: 1) Register the Event Grid resource provider; 2) create a custom topic; 3) create an event subscription.
Detailed Explanation: A newly provisioned subscription must have the Event Grid resource provider available before Event Grid resources can be created. The publisher needs a custom topic as the event-ingress resource, and routing to a downstream processor is then defined by an event subscription on that topic. The event subscription can include filters such as event type or data fields so that only high-confidence events reach the processor. Creating a partner topic or domain is unnecessary for the stated custom workflow.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Create an Event Grid custom topic or domain
NEW QUESTION # 48
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
You plan to deploy a container to an Azure App Service API app named api1. You host the source code for api1 in a GitHub repository. The container uses the API key at runtime to connect to a backend service.
The container must be able to retrieve the API key at runtime without exposing it in the source repository or Git commit history.
You need to ensure that the API key remains outside of Git commit history and is available to the container at runtime.
Solution: Embed the API key as a hardcoded environment variable in the Dockerfile.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* Store the API key in Azure Key Vault and reference it from an App Service application setting.
Storing the API key in Azure Key Vault and referencing it via App Service application settings is the recommended, secure approach. This strategy completely removes sensitive credentials from your GitHub repository and Git commit history while injecting them safely into your container environment at runtime.
Incorrect:
* Embed the API key as a hardcoded environment variable in the Dockerfile.
* Store the API key as a GitHub repository secret.
Reference:
https://www.qservicesit.com/full-stack-applications-on-azure
NEW QUESTION # 49
Drag and Drop Question
You are designing Azure Functions for three different backend workloads.
Each workload requires one of the following dispatching models:
- Return an immediate response to a client.
- Process background work from a queue.
- Run code on a fixed schedule.
You need to select the trigger for each requirement.
Which triggers should you select? To answer, move the appropriate triggers to the correct requirements. You may use each trigger once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: HTTP trigger
An HTTP trigger is the best choice for returning an immediate response to a client.
Direct connection: The client makes a standard web request and waits on the same connection.
Low latency: It avoids the delays introduced by routing messages through queues or storage.
Two-way communication: It natively supports returning payload data and HTTP status codes (e.g., 200 OK).
Box 2: Queue Storage Trigger
Azure Queue Storage Trigger or Azure Service Bus Queue Trigger is the best choice to process background work from a queue.
Azure Queue Storage Trigger:
Best for simple, low-cost message queues with high throughput and straightforward FIFO (first-in, first-out) processing needs.
Automatic Scaling: Scales out instances dynamically based on the number of messages waiting in the queue.
Reliability: Automatically handles poison messages and retries failed executions if configured correctly.
Cost Efficiency: Consumes zero compute resources when the queue is empty (especially under the Consumption plan).
Box 3: Timer trigger
An Azure Function with a timer trigger is the standard and ideal choice for running code on a fixed schedule. It acts as a serverless cron job that automatically manages execution intervals, scales automatically, and includes built-in locking mechanisms to prevent duplicate executions across multiple instances.
Reference:
https://levelup.gitconnected.com/request-driven-service-vs-event-driven-service-4bf04d642843?gi=c0bdcb16db5a
https://codilime.com/blog/enabling-first-in-first-out-pattern-microsoft-azure-service-bus-queues-topics/
NEW QUESTION # 50
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