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| Section | Weight | Objectives |
|---|---|---|
| Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Develop containerized AI solutions on Azure | 25% | - Monitor and troubleshoot containerized workloads
|
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NEW QUESTION # 115
You are implementing an application by using Azure Event Grid to push near-real-time information to customers.
You have the following requirements:
* You must send events to thousands of customers that include hundreds of various event types.
* The events must be filtered by event type before processing.
* Authentication and authorization must be handled by using Microsoft Entra ID.
* The events must be published to a single endpoint
You need to implement Azure Event Grid
Solution: Publish events to a custom topic. Create an event subscription for each customer.
Does the solution meet the goal?
Answer: B
Explanation:
Detailed Explanation: A single custom topic is a user-defined publishing endpoint, but creating thousands of customer subscriptions on one custom topic is not the architecture Microsoft provides for managing thousands of isolated topics behind one publisher endpoint. An Event Grid domain is the service construct designed for that scale and partitioning model. The requirement for Microsoft Entra authentication can also be satisfied when publishing to Event Grid resources, but the custom-topic design still misses the domain-level multi- topic requirement.
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 Event Grid event domains | Authenticate Event Grid publishing with Microsoft Entra ID
NEW QUESTION # 116
A Python API retrieves a document from Azure Database for PostgreSQL by using a SQL statement. The API accepts the document ID from user input. The current implementation inserts the document ID directly into the SQL statement.
You need to secure the SQL statement execution by using a parameterized query. You must minimize the possibility of SQL injection.
How should you update the implementation to execute the SQL statement safely? 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.
Answer:
Explanation:
Explanation:
Verified answer: Modify SQL: use a parameterized query. Bind input: pass the ID as an argument. Execute:
supply the parameter tuple to the SDK/driver method.
Detailed Explanation: The security boundary is created by separating SQL syntax from user-supplied values.
The statement should contain a parameter placeholder rather than concatenated input, and the document ID should be supplied separately through the database driver's parameter mechanism. The driver then performs the correct protocol-level binding and escaping. Manually escaping quotation marks is error-prone and does not provide the same injection resistance as true parameterization.
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 | Vector similarity search with Azure PostgreSQL
NEW QUESTION # 117
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?
Answer: B
Explanation:
The solution statement is incorrect because the KQL query does not return every individual request . The summarize operator aggregates input records according to the grouping expression. In this query, count() calculates the number of request records in each group, while by resultCode creates one group for every distinct HTTP result code represented in the selected Application Insights time range. Microsoft documents that summarize produces one output row for each distinct combination of its by expressions.
The resulting dataset therefore contains columns equivalent to resultCode and request_count, not individual request rows. The subsequent order by request_count desc sorts those aggregate groups in descending order, placing the most frequent result code first. Microsoft provides essentially the same Application Insights pattern for displaying the distribution of requests by result code: summarize request counts by result code and order the resulting counts descending.
If the intent were to list individual requests, the query would omit summarize and typically use project to select fields such as timestamp, operation name, and result code.
Therefore, because the proposed solution incorrectly describes the query as listing each individual request, the answer is No .
Study Guide references: Azure Monitor Logs; Application Insights requests; KQL summarize; count(); grouping; descending sorting.
NEW QUESTION # 118
Drag and Drop Question
You have an existing AKS cluster and a container image stored in Azure Container Registry.
You must deploy a new version without interrupting traffic.
You need to perform a rolling update by using a manifest file.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Update the image tag in the deployment manifest
This changes the definition file to point to your new version image stored in the Azure Container Registry.
Step 2: Apply the updated manifest
Running kubectl apply -f <manifest.yaml> triggers Kubernetes to natively initiate a zero-downtime rolling update strategy, incrementally replacing old pods with new ones.
Step 3: Verify rollout status
Running kubectl rollout status deployment/<deployment-name> allows you to track and ensure the new version deploys successfully without failure.
Reference:
https://learn.microsoft.com/en-us/azure/aks/tutorial-kubernetes-deploy-application
NEW QUESTION # 119
A container in an AKS cluster repeatedly restarts.
Pod events show probe failures, although node-level CPU and memory metrics are normal.
You need to diagnose the cause of the repeating restarts.
What should you do first?
Answer: A
Explanation:
Inspecting the pod events and container logs is the correct first action to take.
Because node-level metrics are normal, the issue is isolated to the specific workload or its individual container boundaries. Pod events will clarify exactly which health probe (liveness or readiness) is triggering the restart, and the logs will reveal why the application inside the container is failing to respond.
Reference:
https://aws.plainenglish.io/why-your-kubernetes-pod-is-crashing-and-how-to-fix-it-5c71f8d2779a?gi=a46b335270ff
NEW QUESTION # 120
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