Microsoft Azure AI Engineer Associate AI-200 Braindumps

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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question 1

Hotspot Question
You have an Azure Service Bus namespace that contains a topic named Topic1.
You plan to create a subscription named Sub1 to Topic1. In Sub1, you plan to filter messages from Topic1 based on their system properties and apply an action that will annotate each filtered message.
You need to configure the filtering.
How should you configure the filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 2

Hotspot Question
You deploy a private container image from Azure Container Registry (ACR) to App Service.
App Service must authenticate to ACR to pull the image.
The solution must NOT store static registry credentials.
You need to configure the secure image pull authentication.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 3

Drag and Drop Question
A recommendation system stores 3 million embeddings in Azure Database for PostgreSQL.
During peak hours, P95 similarity-query latency increases, and the cache hit ratio drops significantly.
You suspect that the vector index working set no longer fits in memory, resulting in more disk reads.
You need to scale server resources and validate the outcome.
Which four 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.

Question 4

Hotspot Question
You are troubleshooting latency issues by using the requests table in Azure Monitor.
You need to calculate the average request duration grouped by cloud role name and also limit results to the past 30 minutes.
Which code elements should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 5

An AI application retrieves configuration values from App Configuration. The application uses static configuration.
You need to implement a solution that supports dynamic configuration updates and minimizes latency for application requests.
What should you do?

A. Store configuration values in Key Vault
B. Cache configuration values with a refresh interval.
C. Retrieve configuration values from App Configuration on each request.
D. Inject configuration values in environment variables.

Solutions: