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| Section | Weight | Objectives |
|---|---|---|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
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NEW QUESTION # 21
You are developing an AI API deployed to ACA. The API requires database credentials that are stored in Key Vault. Key Vault is configured to use Azure RBAC for access control.
The database credentials are rotated periodically by the security team. The application must always use the latest version of each credential without being redeployed and without exposing secrets in code or configurations.
You need to implement a secure secret access strategy that prevents credential exposure and fetches the latest version of each secret at runtime without redeploying the container.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D,E
Explanation:
Step-by-Step Implementation Guide
1. Assign a System-Assigned Managed Identity
2. Configure Key Vault RBAC Role Assignment
Role Selection: Assign the Key Vault Secrets User role to the container app's managed identity.
Scope Limitation: Limit the scope of this assignment to the specific Key Vault or individual secrets rather than the entire resource group.
3. Retrieve the Secret at Runtime Using the SDK
Reference:
https://oneuptime.com/blog/post/2026-02-16-how-to-use-managed-identity-with-azure-container-apps-to-access-azure-services/view
NEW QUESTION # 22
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. Choose two NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Detailed Explanation: The cache-aside design needs both bounded lifetime and explicit invalidation. A ten- minute TTL ensures cached search results do not persist indefinitely, while deleting related keys when source data changes prevents known-stale entries from being returned during that ten-minute window. Sliding expiration would extend lifetime based on access and can preserve stale data. Keyspace notifications report Redis key events; they do not replace application logic that invalidates entries when the authoritative source changes.
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 # 23
You need to add a custom voice that matches your company's brand for a text-to-speech feature, distinct from any standard neural voice. What should you use?
Answer: A
Explanation:
Custom Neural Voice lets you train a unique synthetic voice from recorded voice samples, producing a brand-specific voice rather than using one of the standard prebuilt neural voices.
NEW QUESTION # 24
You optimize an AI inference API that uses Redis caching.
You must reduce the risk of serving outdated data while minimizing cache management overhead. You need to implement the caching strategy that satisfies the requirements. What should you do?
Answer: A
Explanation:
Detailed Explanation: If the priority is to minimize stale results, source-driven invalidation is the direct control: when the underlying record changes, delete the corresponding cache entry so the next request repopulates it from current data. Sliding expiration can keep a frequently accessed stale item alive, disabling expiration is worse, and an allkeys-LRU policy evicts according to memory pressure rather than data freshness. Invalidation therefore best addresses correctness without requiring constant cache-wide maintenance.
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 # 25
You need to secure an Azure OpenAI resource so that it is only reachable from your virtual network and not from the public internet. What should you configure?
Answer: D
Explanation:
Private Link/private endpoints assign the Azure OpenAI resource a private IP within your VNet and allow disabling public network access, ensuring traffic stays on the Microsoft backbone network and isn't reachable from the public internet.
NEW QUESTION # 26
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