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| Section | Objectives |
|---|---|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Connect to and consume Azure services | - Integrate Azure services
|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
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49. Frage
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?
Antwort: A
Begründung:
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
50. Frage
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.
Antwort: A,D
Begründung:
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
51. Frage
You need to improve throughput for concurrent application requests to PostgreSQL.
What should you implement?
Antwort: C
Begründung:
The correct solution is to implement connection pooling , ideally by using the built-in PgBouncer capability in Azure Database for PostgreSQL Flexible Server. Connection pooling allows many concurrent application requests to share and reuse a smaller set of established PostgreSQL server connections instead of repeatedly opening and closing database sessions. Microsoft notes that creating a new PostgreSQL connection for each operation consumes server resources because each connection involves its own backend process. Reusing pooled connections therefore reduces connection overhead, lowers CPU and memory consumption, and improves throughput for high-concurrency workloads.
This directly matches Fabrikam ' s stated requirement that database connections support high concurrency with minimal latency through connection optimization . PgBouncer can efficiently multiplex large numbers of client connections onto fewer PostgreSQL connections, particularly in transaction pooling mode.
Increasing max_connections is not the preferred solution because each additional PostgreSQL connection consumes memory and other resources; Microsoft explicitly recommends PgBouncer instead when more concurrent connections are required. Increasing shared_buffers addresses caching and memory allocation rather than connection-management overhead. Read replicas can scale read workloads, but they do not optimize the application ' s connection lifecycle.
Study Guide references: Azure Database for PostgreSQL Flexible Server # connection pooling; PgBouncer; connection management and high-concurrency performance.
52. Frage
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.
Antwort:
Begründung:
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
53. Frage
You must ensure that PII (personally identifiable information) such as names and phone numbers is automatically redacted from support ticket transcripts before they are stored. What should you use?
Antwort: D
Begründung:
Azure AI Language's PII detection feature identifies and can redact categories of sensitive information (names, phone numbers, SSNs, etc.) from unstructured text, which is the purpose- built service for this scenario.
54. Frage
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