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| Section | Objectives |
|---|---|
| Topic 1: Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Topic 2: Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Topic 3: Connect to and consume Azure services | - Integrate Azure services
|
| Topic 4: Develop containerized solutions on Azure | - Implement containerized applications
|
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NEW QUESTION # 140
You are designing an Azure Function that will process orders from a new Azure Service Bus queue.
You need to prevent the system from processing messages more than once and preserve failed messages for investigation.
Which two actions should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Enable duplicate detection on the Azure Service Bus queue to suppress duplicate sends. Service Bus tracks application-defined MessageId values during the configured duplicate-detection window. If another message with the same MessageId arrives during that interval, Service Bus accepts the send operation but discards the duplicate message. Microsoft specifically recommends using a deterministic business identifier, such as an order ID, as the basis for MessageId when duplicate suppression is required. Duplicate detection must be enabled when the queue is created and is supported in the Standard and Premium tiers.
For failed or poison messages, implement dead-letter handling . A Service Bus queue has a dead-letter subqueue that retains messages that cannot be successfully processed, including messages that exceed the configured maximum delivery count. Those messages remain available for inspection, troubleshooting, correction, or controlled reprocessing rather than being silently discarded.
Sessions provide ordered/FIFO processing and session affinity; they do not primarily prevent duplicates. An HTTP trigger would bypass the required Service Bus processing architecture.
For strict production-grade exactly-once business effects, the consumer should additionally be idempotent , because a message can still be redelivered after a lock or settlement failure.
Study Guide references: Azure Service Bus # duplicate detection; MessageId; dead-letter queues; poison- message handling; reliable asynchronous processing.
NEW QUESTION # 141
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 # 142
You have an Azure Service Bus namespace that contains a topic named Topic1.
You plan to create a subscription named Sub1 to Topic1. In Sub1, you plan to filter messages from Topic1 based on their system properties and apply an action that will annotate each filtered message.
You need to configure the filtering.
How should you configure the filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Filter type: Use the SQL type.
Filtering action: Copy a message and annotate its metadata.
Use a SQL filter because Azure Service Bus SQL subscription filters can evaluate both system properties and application-defined properties . Microsoft documents that system properties are referenced using the sys. scope in SQL expressions, while custom properties can use the user. scope. This makes SQL filtering appropriate when the subscription must evaluate message system metadata.
More importantly, Service Bus supports a SQL rule action together with a SQL filter. After a message satisfies the filter, the rule action can add, replace, or remove message properties by using a SQL-like action expression. Microsoft explains that the action executes after the message matches the filter and before it is selected into the subscription .
A topic subscription does not modify the original message published to Topic1. Service Bus selects and copies the matching message into the subscription ' s virtual queue , and any annotation performed by the rule action is private to that subscription copy. Therefore, the accurate action description is copy a message and annotate its metadata , rather than modifying the original message.
The Boolean filter only represents always-true/false selection behavior, while Correlation filters provide efficient property matching but do not provide the SQL action behavior required here.
Study Guide references: Azure Service Bus # topic subscriptions; SQL filters; system properties; SQL rule actions; subscription message copies.
NEW QUESTION # 143
You are configuring an Azure-hosted AI application that uses Azure App Configuration to manage its runtime settings.
The application must provide the following functionality:
- Support percentage-based, targeted rollouts.
- Maximize token limits per request.
- Store a key that is retrieved securely at runtime.
- Reference a list of supported deployment regions.
You need to configure the App Configuration features for the app.
Which features should you configure? To answer, move the appropriate App Configuration features to the correct configuration items. You may use each App Configuration features 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.
Answer:
Explanation:
Explanation:
* Support percentage-based, targeted rollouts: Feature flag
* Maximize token limits per request: Key-value
* Store a key that is retrieved securely at runtime: Key Vault reference
* Reference a list of supported deployment regions: Key-value
Azure App Configuration provides three distinct mechanisms for these scenarios. A Feature flag is the correct choice for percentage-based and targeted rollouts. Feature Management supports conditional activation based on filters such as percentage allocation, users, groups, and other targeting criteria, making it appropriate for gradual deployment and controlled experimentation.
A Key-value is the correct mechanism for ordinary runtime configuration data such as a model token limit or a list of supported deployment regions. These values are application settings rather than secrets or feature- state controls. The application can retrieve and refresh them dynamically without redeployment. A token-limit setting such as MaxTokensPerRequest and a region list such as SupportedRegions fit naturally into App Configuration key-value entries.
For sensitive data, use a Key Vault reference . App Configuration stores only the reference to the Azure Key Vault secret rather than the secret value itself. At runtime, the application resolves the secret securely, typically by using a managed identity. This avoids embedding credentials or sensitive keys in configuration values.
Therefore, the correct mapping is Feature flag # Key-value # Key Vault reference # Key-value .
Study Guide references: Azure App Configuration # Feature Management; key-values; Key Vault references; dynamic application configuration.
NEW QUESTION # 144
You are reviewing an Azure Function app that processes incoming order requests for a company. The function must:
* Accept order submissions from an external client application.
* Require controlled access for security
* Return a response containing the processed request payload.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified answer: Yes; No; Yes; No.
Detailed Explanation: `auth_level=FUNCTION` means invocation requires a function key unless a stronger platform authentication layer is configured, so the first statement is true. The route explicitly permits POST, not GET. The function reads `req.get_body()` and returns that value in the HttpResponse, so the response contains the request body. No schema, type, required-field, or other payload validation is performed before the response is constructed, making the final statement false.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Azure Functions HTTP trigger
NEW QUESTION # 145
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