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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Topic 2: Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Topic 3: Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Topic 4: Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
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NEW QUESTION # 45
You provisioned an Azure Cosmos DB for NoSQL account named account1 with the default consistency level.
You plan to configure the consistency level on a per request basis. You plan to request Consistent Prefix consistency on a per-request basis.
You need to identify the resulting consistency level for read and write operations.
Which levels result from this configuration? To answer, select the appropriate options in the answer a rea.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified answer: Read operations: Consistent Prefix. Write operations: Session (the account default remains effective for writes).
Detailed Explanation: Azure Cosmos DB allows a client or request to override consistency for reads.
Microsoft explicitly notes that such an override applies only to reads; it does not change how writes are committed and replicated under the account's configured consistency. Because a new account uses Session consistency by default, requesting Consistent Prefix affects the reads while the account continues to use its Session consistency behavior for writes. This distinction is the key point tested by the hotspot.
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 | Manage Cosmos DB consistency levels | Cosmos DB consistency level choices
NEW QUESTION # 46
You are developing an application that uses a Python API to perform similarity queries against Azure Database for PostgreSQL. The application creates a new database connection for every request.
During peak traffic, the application intermittently fails to open new database sessions, logs indicate that the maximum number of connections have been reached.
You need to configure the connection pooling strategy to reduce connection setup overhead and maximize reuse for the high-concurrency workload.
What should you configure? To answer. select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
onnection pooling technology: PgBouncer. Pooling mode: Transaction pooling mode.
Detailed Explanation: Azure Database for PostgreSQL Flexible Server supports PgBouncer to reduce connection setup cost and protect the server from excessive client sessions. For a high-concurrency API whose requests do not require a server session to remain pinned between transactions, transaction pooling maximizes reuse by returning the server connection to the pool after each transaction. Session pooling holds a server connection for the lifetime of the client session and therefore provides less multiplexing under the connection-pressure scenario described.
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 | PgBouncer in Azure Database for PostgreSQL
NEW QUESTION # 47
Drag and Drop Question
You are developing several microservices to run on Azure Container Apps.
The microservices must allow HTTPS access by using a custom domain.
You need to configure the custom domain in Azure Container Apps.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Enable ingress
You must first expose your container app to external traffic to generate the default fully qualified domain name (FQDN) needed for DNS mapping.
Step 2: Add DNS records to the domain provider
Log into your domain registrar to create the required TXT (for verification) and CNAME/A records pointing to your container app.
Step 3: Validate the custom domain name
Azure checks your DNS records to confirm that you actually own the domain before allowing it to be linked.
Step 4: Add the custom domain name
Once validation passes, you officially add and register the custom domain name within the Azure Container App configuration.
Step 5: Bind the certificate
Finally, bind an SSL/TLS certificate to the custom domain to secure the connection and enable HTTPS access.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/ingress-overview
NEW QUESTION # 48
Hotspot Question
You plan to configure an Event Grid subscription for AI inference events.
The solution must:
- Filter events by payload data.
- Retain undelivered events.
- Limit retry attempts.
You need to configure the Event Grid.
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:
Box 1: Advanced filter
You must use an Advanced filter to filter Azure Event Grid events by payload data.
Payload-level access: Advanced filters allow you to filter on fields within the data object of the event schema, which contains the specific payload of your AI inference event.
Complex operators: It supports advanced comparisons like StringContains, NumberGreaterThan, or BoolEquals against specific JSON payload paths.
Box 2: Dead-letter destination
You should use a dead-letter destination because it is the native Azure mechanism designed to retain undelivered events when delivery attempts fail or are dropped.
Purpose: Captures events that cannot be delivered to your AI inference endpoint due to errors, timeouts, or bad payloads.
Storage Requirement: Requires an Azure Storage account container to securely hold the undelivered message blobs.
Retention Policy: Events stored in the dead-letter container are retained for 14 days by default, giving you time to investigate.
Box 3: Maximum delivery attempts
Maximum delivery attempts is the feature to use to limit retry attempts in an Event Grid subscription.
Use this setting to set a hard cap on how many times Event Grid tries to send an event. You can lower this number from the default value to stop retrying sooner.
Reference:
https://learn.microsoft.com/en-us/azure/data-manager-for-agri/how-to-use-events
https://learn.microsoft.com/en-us/azure/event-grid/subscriber-operations
NEW QUESTION # 49
Hotspot Question
You have an Azure Functions app using the Consumption hosting plan for a company. The app contains the following functions:
You plan to enable dynamic concurrency on the app. The company requires that each function has its concurrency level managed separately.
You need to configure the app for dynamic concurrency.
Which file or function names should you use? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* File name: host.json
* Function name: f3
Azure Functions dynamic concurrency is enabled at the function-app host level in the host.json file . The concurrency configuration section contains the dynamicConcurrencyEnabled property. Setting this value to true enables the Functions host to dynamically learn and adjust concurrency levels for supported triggers rather than requiring fixed manual limits.
Although dynamic concurrency is enabled globally, Microsoft explicitly states that the learned concurrency level is managed independently for each individual function . This allows a resource-intensive function to operate at a lower concurrency level while a lightweight function in the same app can execute with greater concurrency, protecting host health while maximizing throughput.
Of the functions listed, f3 , which uses an Azure Queue Storage trigger , supports dynamic concurrency.
Microsoft currently documents dynamic concurrency support for Azure Queue Storage, Azure Blob Storage, and Azure Service Bus triggers , subject to the required extension versions. HTTP and Timer triggers do not participate in this dynamic-concurrency model.
Therefore, configure dynamic concurrency in host.json , and f3 is the function whose concurrency will be dynamically managed.
Study Guide references: Azure Functions # Concurrency; Dynamic concurrency; host.json; Queue Storage trigger concurrency.
NEW QUESTION # 50
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