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Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Azure AI solutions | - Implement natural language processing solutions - Implement knowledge mining with Azure AI Search - Implement computer vision solutions - Implement generative AI solutions using Azure OpenAI |
| Plan and manage Azure AI solutions | - Select appropriate Azure AI services - Plan security and compliance requirements - Monitor and optimize AI solutions |
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
1. 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) allkeys-lru
B) EXPIRE command
C) time-window expiration
D) volatile-ttl
2. 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 in Azure Key Vault and reference it from an App Service application setting.
Does the solution meet the goal?
A) No
B) Yes
3. Your Azure AI Search index must support both exact keyword matches on product SKUs and semantic similarity search on product descriptions in a single query. What should you configure?
A) A keyword-only index
B) A hybrid search index combining vector fields and searchable text fields
C) A vector-only index
D) Two completely separate indexes queried independently
4. Drag and Drop Question
You are developing a .NET application that uses Azure Cosmos DB for NoSQL to store application data.
The application uses the Azure Cosmos DB for NoSQL SDK to interact with the database account.
The application must perform the following tasks:
- Initialize the connection by using the account endpoint and key.
- Define shared throughput.
- Perform create, read, update, and delete (CRUD) operations on items
stored in a container.
You need to implement the SDK components required for the application to access and manage data in Azure Cosmos DB for NoSQL.
Which SDK components should you use? To answer, move the appropriate components to the correct requirements. You may use each component 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.
5. A development team wants to compare multiple prompt variations against the same test dataset and visualize which prompt performs best. What should they use in Azure AI Foundry?
A) Speech Studio custom voice
B) Model deployment quota management
C) Azure AI Search indexers
D) Prompt flow with variants
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: Only visible for members | Question # 5 Answer: D |
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