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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Topic 2: Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Topic 3: Develop containerized AI solutions on Azure | 25% | - Monitor and troubleshoot containerized workloads
|
| Topic 4: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
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NEW QUESTION # 132
You are developing a Retrieval-Augmented Generation (RAG) solution for a company. AI responses and embedding vectors are cached in Redis. The solution must meet the following requirements.
* AI responses must expire exactly 24 hours after they are cached
* Cached embeddings must always reflect the current source data.
You need to configure Redis to meet the requirements.
Answer:
Explanation:
Explanation:
I response expiry: set a 24-hour TTL on each key. Embedding freshness: delete related cache keys when the source document changes.
Detailed Explanation: A fixed TTL encodes the requirement that an AI response must expire after a defined period rather than survive indefinitely or have its lifetime extended on every read. Embedding freshness is a separate consistency requirement: when the authoritative document changes, any cached representation derived from the old document must be invalidated immediately. Memory eviction policies are capacity- management mechanisms and cannot guarantee a precise 24-hour lifetime or source-data consistency.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Azure Managed Redis documentation
NEW QUESTION # 133
You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count.
You need to find a way to process the message when the API is available while keeping the message accessible.
Which message action should you perform?
Answer: A
Explanation:
The appropriate message action to use is Deferral (Defer).
When you defer a message, Azure Service Bus moves it out of the main active retrieval pool and holds it aside in the queue. Crucially, this operation does not increment the delivery count or cause the message to move to the Dead-Letter Queue (DLQ). The message remains safely stored and accessible, but it can no longer be processed by standard receiver loops.
Reference:
https://github.com/Azure/azure-sdk-for-java/issues/43855
NEW QUESTION # 134
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.
Answer:
Explanation:
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.
NEW QUESTION # 135
You are implementing semantic retrieval in Redis.
The solution must support low-latency, approximate nearest neighbor (ANN) vector similarity search for large-scale AI retrieval workloads.
You need to select the appropriate vector schema settings.
Which configuration values should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 136
You plan to create a Docker image that runs an ASP.NET Core application named ContosoApp. You have a setup script named setupScript.psl and a series of application files including ContoscApp.dll.
You need to create a Dockerfile document that meets the following requirements:
* Call SQiupScript.psI when the container is built.
* Run CantosoApp.dill when the container starts.
The Dockerfile document must be created in the same folder where ContosoApp.dll and setupScnpt.ps! are stored.
Answer:
Explanation:
Explanation:
NEW QUESTION # 137
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