Developing AI Cloud Solutions on Azure: AI-200 Exam


"Developing AI Cloud Solutions on Azure", also known as AI-200 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 93 Q&As to your AI-200 Exam preparation. In the AI-200 exam resources, you will cover every field and category in Azure AI Engineer Associate Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: AI-200
  • Exam Name: Developing AI Cloud Solutions on Azure
  • Total Questions: 93

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Microsoft AI-200 Exam Syllabus Topics:

SectionObjectives
Topic 1: Implement Azure AI solutions- Implement generative AI solutions using Azure OpenAI
- Implement natural language processing solutions
- Implement knowledge mining with Azure AI Search
- Implement computer vision solutions
Topic 2: Plan and manage Azure AI solutions- Plan security and compliance requirements
- Monitor and optimize AI solutions
- Select appropriate Azure AI services
Topic 3: Implement and monitor AI workloads- Deploy AI models and services
- Monitor performance and troubleshoot issues

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. Hotspot Question
You are developing an event-driven system that reacts to new or updated documents in Azure Cosmos DB for NoSQL.
The application must process new or updated documents as they appear in the container by using a change feed processor. The application must also maintain processor state between runs.
You need to configure the components required for stateful change feed processing.
Which components should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


2. You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?

A) Hard-coded connection string in the startup class
B) Environment variables in local.settings.json
C) Parameter file stored in source control
D) Application settings with Key Vault references


3. 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?

A) volatile-ttl
B) time-window expiration
C) EXPIRE command
D) allkeys-lru


4. 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: Store the API key as a GitHub repository secret.
Does the solution meet the goal?

A) Yes
B) No


5. 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 preparing a production deployment for an Azure Function app. The app will run across multiple environments.
The solution must support environment-specific configuration and prevent secrets from being stored in source control.
You need to develop the solution.
Solution: Store connection strings in the Function app application settings configured in the Azure Portal.
Does the solution meet the goal?

A) Yes
B) No


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: D
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: B

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