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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. You are developing an AI search API that caches semantic search results in Redis.
Search results must remain cached for 10 minutes. If the underlying data changes, cached entries must NOT be returned.
You need to implement a cache-aside strategy to ensure data consistency.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Delete related cache keys when the source data changes.
B) Implement sliding expiration based on key access.
C) Configure a cache notification for key space events.
D) Configure a 10-minute Time to Live on each key.

2. You are evaluating a fine-tuned Azure OpenAI model against the base model before promoting it to production. Which Azure AI Foundry capability should you use?

A) Azure AI Search indexer scheduling
B) Azure Monitor Application Insights only
C) Content Safety category configuration
D) Prompt flow bulk testing / evaluation with metrics (groundedness, coherence, relevance)

3. You are choosing an embedding strategy for a RAG solution. Documents range from 2 to 200 pages. You need to preserve semantic coherence while staying within embedding model token limits. What should you do?

A) Chunk documents into smaller overlapping segments before embedding
B) Convert documents to images and use image embeddings
C) Use only document titles for embedding
D) Embed each entire document as a single vector

4. You are deploying a model in Azure AI Foundry and must ensure the endpoint can handle unpredictable bursts of traffic while keeping cost low during idle periods. Which deployment type should you choose?

A) Dedicated managed compute with fixed capacity
B) Standard (pay-as-you-go) deployment
C) Batch deployment
D) Provisioned Throughput Units (PTU)

5. You develop a message-processing service deployed to Azure Container Apps. The service reads messages from an Azure Service Bus queue.
The solution must minimize costs by ensuring NO compute resources are consumed when the queue is empty.
You need to configure scaling for the service.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Increase the scaling rule to allow for the maximum running replica count.
B) Configure a Kubernetes Event-driven Autoscaler rule that monitors queue length.
C) Enable HTTP ingress concurrency scaling.
D) Configure the scaling rule to allow for the termination of all active replicas.

Solutions: