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| Section | Objectives |
|---|---|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Connect to and consume Azure services | - Integrate Azure services
|
| 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
|
>> AI-200 Vorbereitungsfragen <<
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42. Frage
You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count.
You need to find a way to process the message when the API is available while keeping the message accessible.
Which message action should you perform?
Antwort: C
Begründung:
The appropriate message action to use is Deferral (Defer).
When you defer a message, Azure Service Bus moves it out of the main active retrieval pool and holds it aside in the queue. Crucially, this operation does not increment the delivery count or cause the message to move to the Dead-Letter Queue (DLQ). The message remains safely stored and accessible, but it can no longer be processed by standard receiver loops.
Reference:
https://github.com/Azure/azure-sdk-for-java/issues/43855
43. Frage
You store embeddings in Redis by using keys formatted as doc:(id). Some embeddings are accessed frequently. Others are rarely used.
You need to implement a caching strategy that keeps only frequently accessed embeddings in memory.
What should you use?
Antwort: C
Begründung:
To implement this strategy, you should use allkeys-lru combined with the EXPIRE command as a secondary fallback.
Primary Mechanism: Configure your Redis maxmemory-policy to allkeys-lru.
Secondary Mechanism: Apply the EXPIRE command to your keys as a safety net.
Why allkeys-lru is the Best Choice
Memory Management: It automatically evicts the Least Recently Used (LRU) keys across your entire dataset when Redis hits its memory limit.
Frequent Access: It guarantees that frequently accessed embeddings stay in memory, regardless of when they were created.Prefix Independent: It scans all keys, making it perfect for your doc:(id) format Reference:
https://rahulchowdhury.in/blog/redis-caching-patterns-every-mern-dev
44. Frage
You are implementing an application by using Azure Event Grid to push near-real-time information to customers.
You have the following requirements:
* You must send events to thousands of customers that include hundreds of various event types.
* The events must be filtered by event type before processing.
* Authentication and authorization must be handled by using Microsoft Entra ID.
* The events must be published to a single endpoint
You need to implement Azure Event Grid
Solution: Publish events to a system topic. Create an event subscription for each customer.
Does the solution meet the goal?
Antwort: A
Begründung:
Detailed Explanation: System topics represent events emitted by Azure services and are not the correct resource for an application publishing its own hundreds of event types to thousands of customers through one custom endpoint. Event Grid domains are intended for exactly this type of application-level multi-tenant topic organization and expose one publishing endpoint for many topics. Therefore a system topic with a subscription per customer does not satisfy the stated publishing model, even though Event Grid supports filtering and secure delivery in other contexts.
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 | Azure Event Grid event domains Verification completed using official Microsoft Learn sources only. Original exhibits have been retained unchanged.
45. Frage
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 are using Azure Monitor Application Insights to investigate a production API. You open the Logs blade and set the time range to Last 24 hours.
An engineer recommends the following query to count requests by result code and sort the results from most frequent to least frequent:
requests
| summarize request_count = count() by resultCode
| order by request_count desc
You need to determine whether the query returns the number of requests grouped by result code and sorted from most to least frequent.
Solution: The result codes are sorted alphabetically.
Does the solution meet the goal?
Antwort: A
Begründung:
Correct:
* The query returns one row per unique resultCode value with the number of requests in each group.
The Kusto Query Language (KQL) query uses the summarize operator, which acts as a grouping and aggregation mechanism.
summarize request_count = count() by resultCode
This groups all the individual rows in the requests table by their unique resultCode. It then counts the total number of logs within each group and places that value into a new column called request_count.
order by request_count desc: This sorts those aggregated rows so that the resultCode with the highest number of requests appears at the top.
Incorrect:
* The result codes are sorted alphabetically.
* The query lists every individual request along with its result code.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/reference/tables/apprequests
46. Frage
You have an Azure Service Bus namespace with a partitioned queue named queue1.
You plan to send a large number of messages through queue1 over the next few weeks. The order of messages will be random. You must minimize the possibility of message transmission interruption by transient failures of individual partitions.
You need to use the optimal configuration of the partition key in the messages.
Which configuration should you use?
Antwort: D
47. Frage
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AI-200 Fragenkatalog: https://www.zertpruefung.de/AI-200_exam.html