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| Section | Weight | Objectives |
|---|---|---|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
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NEW QUESTION # 112
A large retail company operates online and physical stores. The company tracks inventory levels in real time to manage stock efficiently across all locations. You develop an Azure Event Grid solution to handle events generated by the inventory management system deployed to Azure.
You need to implement a subscription filter that dynamically adjusts to seasonal changes in product demand.
Which event filter should you use?
Answer: B
NEW QUESTION # 113
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 # 114
You are developing an AI-powered API that retrieves connection strings and API keys from Azure Key Vault.
You must configure a solution that provides the following security functionality:
- The API must authenticate to Key Vault without storing credentials in any application configuration files.
- The identity used by the API must have only the minimum permissions
necessary to read secrets.
- The configuration must minimize the blast radius if an identity or
credential is compromised.
You need to implement a secure access strategy for the API.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
You should use a system-assigned managed identity, but to minimize the blast radius, you should grant the Key Vault Secrets User role at the secret scope rather than the vault scope.
Authentication (Managed Identity): A system-assigned managed identity perfectly satisfies your first requirement. Azure automatically manages the identity credentials, eliminating the need to store keys or connection strings in application configuration files. Because it shares the lifecycle of your API service, it is automatically deleted if the API is removed.
Authorization (RBAC Role): The Key Vault Secrets User role satisfies the "minimum permissions" requirement because it only grants read permissions (Microsoft.KeyVault/vaults/secrets/getSecret/action and readSecret/action.
Scope (Blast Radius Minimization): Granting this role at the vault scope allows the API to read every secret inside that vault. If your API only needs specific connection strings, you should grant the role at the individual secret scope [0.30]. This restricts the identity so it cannot access any other secrets in the vault if compromised.
Reference:
https://learn.microsoft.com/en-us/azure/api-management/api-management-howto-use-managed-service-identity
NEW QUESTION # 115
You are implementing the expiration requirement for AI-generated summaries in the Redis cache.
You need to purge the AI summaries five minutes after creation, regardless of how often they are accessed.
What should you do?
Answer: A
Explanation:
Configure a fixed expiration timeout on each Redis key when the summary is created , such as a five- minute TTL. Azure Managed Redis automatically removes a key when its configured timeout expires.
Critically, ordinary read operations do not extend that expiration period, so a summary created at time T will expire approximately five minutes later regardless of how frequently clients retrieve it.
This is the required absolute-expiration behavior. In Redis, applications can establish expiration when writing the value or by using expiration commands after creation. The important design property is that the expiration deadline is not refreshed whenever the key is read.
An allkeys-lru eviction policy addresses memory pressure , not deterministic five-minute expiration. It may evict less recently used keys when memory is constrained, but it does not guarantee removal exactly five minutes after creation. The PERSIST command is directly incorrect because it removes an existing timeout , potentially causing the summary to remain indefinitely. Sliding expiration is also unsuitable because it renews or resets the expiration window based on activity, allowing frequently accessed summaries to remain longer than five minutes.
Therefore, a per-key absolute five-minute expiration is the correct configuration.
Study Guide references: Azure Managed Redis # key expiration; TTL behavior; cache expiration versus eviction; fixed versus sliding expiration.
NEW QUESTION # 116
An AI application retrieves configuration values from App Configuration. The application uses static configuration.
You need to implement a solution that supports dynamic configuration updates and minimizes latency for application requests.
What should you do?
Answer: C
Explanation:
You should cache configuration values with a refresh interval.
Enables Dynamic Configuration: Azure App Configuration providers natively support a cache- polling mechanism. Once the refresh interval expires, the application checks for updates and reloads configuration values automatically without requiring an application restart.
Minimizes Latency: By pulling configuration values from a local, in-memory cache for all intermediary requests, you completely bypass the network latency of making a remote API call to Azure on every single application request.
Prevents Throttling: Relying on cached values prevents your application from exhausting your App Configuration resource's request quota.
Reference:
https://learn.microsoft.com/en-us/azure/azure-app-configuration/howto-best-practices
NEW QUESTION # 117
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