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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Topic 2: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Topic 3: Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Topic 4: Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
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NEW QUESTION # 115
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 # 116
You are designing an Azure Function app that exposes a public API.
The solution must:
Validate incoming request data and return results immediately to the caller.
Support Microsoft Entra ID authentication.
Scale automatically under variable load.
You need to implement a trigger.
Which trigger should you implement?
Answer: C
Explanation:
Detailed Explanation: An HTTP trigger is the only option that directly accepts a synchronous external request and can return a response immediately to the caller. Azure Functions uses HTTP triggers to implement serverless APIs and webhooks, while Microsoft Entra authentication can be applied to the Function App or API surface. Queue, Event Grid, and Service Bus triggers are asynchronous event-processing mechanisms and do not provide the request/response semantics required by this public API scenario.
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 # 117
You are developing an AI application. The application configuration will depend on a dynamically retrieved value of a designated key stored in an Azure App Configuration resource.
You must deploy the application to the test, staging, and production environments.
You need to be able to set the value differently in each environment.
Which feature of Azure App Configuration resource should you use?
Answer: D
Explanation:
You should use the Label feature of the Azure App Configuration resource.
In Azure App Configuration, keys can optionally include a label, which acts as a dimension or tag to create distinct variants of the same key. This allows you to store environment-specific values (such as test, staging, and production) under a single key name and load the appropriate configuration dynamically based on the current deployment environment.
References:
https://learn.microsoft.com/en-us/answers/questions/2108879/azure-app-configuration-resource-manager-api-is-de
NEW QUESTION # 118
You are using Azure Monitor Application Insights to collect dependency data.
You must be able to:
* Correlate failed requests with dependency calls during the last hour.
* Calculate the average dependency duration per operation.
You need to construct the KQL query by using the minimum number of statements.
Which three operators should you use? Each correct answer presents part of the solution.
Answer: A,C,E
Explanation:
Use where , join , and summarize .
The where operator filters telemetry to the required scope, including records from the last hour and failed requests. For example, a predicate can restrict timestamp > ago(1h) and request success status in the same filtering expression.
Next, use join to correlate request telemetry with dependency telemetry. Application Insights assigns related telemetry a common operation_Id , and Microsoft specifically demonstrates joining the dependencies and requests tables on operation_Id to identify dependency calls associated with requests.
Finally, use summarize with avg(duration) grouped by the appropriate operation identifier or operation name.
summarize performs aggregation over groups and is therefore the required operator for calculating average dependency duration. Microsoft documents dependency duration as supporting an Avg aggregation.
extend is unnecessary because no derived column is required, while distinct merely removes duplicate rows and cannot calculate averages or correlate two telemetry tables.
A representative structure is:
requests
| where timestamp > ago(1h) and success == false
| join (dependencies | where timestamp > ago(1h)) on operation_Id
| summarize avg_dependency_duration = avg(duration1) by operation_Name
Study Guide references: Azure Monitor Application Insights; KQL where; telemetry correlation using operation_Id; join; summarize; dependency duration analysis.
NEW QUESTION # 119
You need to deploy Azure Function resources and apps to meet the business and technical requirements.
What should you use?
Answer: C
Explanation:
Use GitHub Actions because Proseware requires an automated, version-controlled deployment pipeline and explicitly prohibits local and command-line deployments. Microsoft documents GitHub Actions as a supported CI/CD mechanism for Azure Functions: a workflow stored under .github/workflows can build and deploy Function app code automatically in response to repository events such as pushes or pull requests. The Azure Functions deployment action can deploy the application package directly to the target Function app.
GitHub Actions also satisfies the infrastructure requirement. Microsoft provides first-class support for deploying Bicep templates through GitHub Actions , enabling Azure resources to be provisioned declaratively from the same source-controlled pipeline. A pull-request workflow can perform validation or Bicep what-if analysis before changes are merged, while a main-branch workflow can perform the actual deployment after approval. This provides repeatability, auditing, and separation from individual developer machines.
Azure Functions Core Tools and Azure CLI are commonly used for interactive/local deployments, which directly conflicts with the requirement to eliminate command-line deployment. Local Git deployment also fails the requirement for a centrally automated Bicep-based deployment process.
Study Guide references: Azure Functions CI/CD; GitHub Actions; infrastructure as code with Bicep; automated Azure deployments; version-controlled deployment workflows.
Category Breakdown
Category Number of Questions
Connect to and consume Azure services 41
Develop AI solutions by using Azure data management services 39
Secure, monitor, troubleshoot Azure solutions 34
Develop containerized solutions on Azure 28
TOTAL 142
Exam Topic Breakdown
Exam Topic Number of Questions
NEW QUESTION # 120
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