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Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Select appropriate Azure AI services - Plan security and compliance requirements |
| Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
| Implement Azure AI solutions | - Implement generative AI solutions using Azure OpenAI - Implement natural language processing solutions - Implement computer vision solutions - Implement knowledge mining with Azure AI Search |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
You need to configure the Redis integration for the Recommendation API.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.
Correct Answer:

Explanation:
* Comply with the defined expiration policy for recommendation results: Configure Time to Live on each cache key.
* Support the data integrity and freshness requirement for catalog updates: Publish invalidation events to a Redis channel.
* Meet the search latency target for recurring product requests: Implement cache-aside pattern with lazy loading.
The 10-minute expiration requirement should be implemented by configuring a Time to Live (TTL) on each Redis cache key. Redis automatically removes a key after its assigned expiration interval, ensuring recommendation results cannot remain cached indefinitely. Microsoft documents expiration as a standard mechanism for preventing cached data from becoming stale.
For catalog changes, Fabrikam explicitly requires a reactive invalidation mechanism . Publishing invalidation events to a Redis Pub/Sub channel allows application components to notify subscribers immediately when product metadata or pricing changes. Redis Pub/Sub broadcasts messages to channel subscribers, which can then invalidate affected cache entries instead of waiting for TTL expiration.
For repeated recommendation queries, implement the cache-aside pattern with lazy loading . The application first checks Redis; on a cache hit, results are returned from the low-latency in-memory cache. On a miss, the application retrieves data from PostgreSQL, places the result in Redis, and returns it. Microsoft identifies cache-aside as an appropriate pattern for frequently read data and explicitly notes that Azure Managed Redis provides low-latency, high-throughput access.
Redis RDB persistence is unnecessary for these requirements because the cache is an optimization layer rather than the authoritative data store.
Study Guide references: Azure Managed Redis # cache-aside pattern; TTL/expiration; Pub/Sub; cache invalidation and data freshness.
You are creating a hazard notification system that has a single signaling server which triggers audio and visual alarms to start and stop.
You implement Azure Service Bus to publish alarms, each alarm controller uses Azure Service Bus to receive alarm signals as part of a transaction Alarm events must be recorded for audit purposes Each transaction record must include information about the alarm type that was activated.
You need to implement a reply-trail auditing solution
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Assign the value of the hazard message MessageId p ' operty to the DeliveryCount property.
- B. Assign the value of the hazard message MessageId property to the CorrelationId property
- C. Assign the value of the hazard message MessageId property to the SequenceNumber property
- D. Assign the value of the hazard message SessionId property to the SequenceNumber property.
- E. Assign the value of the hazard message SequenceNumber property to the DeliveryCount property.
- F. Assign the value of the hazard message SessionId property to the ReplyToSessionld property.
Correct Answer: B,F 🗳️
Explanation: Only visible for DumpTorrent members. You can sign-up / login (it's free).
You plan to deploy an Azure Container Apps app named App1. App1 will use an access key to connect to a backend API.
The solution must store the key outside of the App1 environment and minimize maintenance efforts.
You need to configure secure key storage for App1.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
* Provide the key storage for App1: Azure Key Vault secret
* Secure App1 access to the key storage: Managed identity
An API access key is a sensitive string value, so it should be stored as an Azure Key Vault secret , not as an Azure Key Vault cryptographic key. Azure Container Apps supports direct Key Vault secret references , allowing sensitive values to remain centrally stored outside the container app rather than being embedded in images or supplied directly as Container Apps secret values. Microsoft recommends Key Vault references for production secrets because they provide centralized lifecycle management and avoid placing secret values directly in application configuration.
App1 should authenticate to Key Vault by using a managed identity . Azure Container Apps supports both system-assigned and user-assigned managed identities, enabling the workload to obtain Microsoft Entra tokens without maintaining client secrets or credentials. The identity must be granted appropriate Key Vault permissions, such as the Key Vault Secrets User RBAC role, to retrieve the stored secret.
This configuration also minimizes maintenance. When the Key Vault reference omits a specific secret version, Container Apps uses the latest version and automatically detects newer versions, retrieving the updated value within approximately 30 minutes.
Therefore, the required combination is Azure Key Vault secret + Managed identity .
Study Guide references: Azure Container Apps # secrets management; Key Vault references; managed identities; secret rotation and runtime retrieval.
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.
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 query lists every individual request along with its result code.
Does the solution meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
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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. Application settings with Key Vault references
- B. Parameter file stored in source control
- C. Hard coded connection string in the startup class
- D. Environment variables in local.settings.json
Correct Answer: A 🗳️
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