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| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Implement Azure AI solutions | - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions - Implement knowledge mining with Azure AI Search - Implement natural language processing solutions |
| Plan and manage Azure AI solutions | - Plan security and compliance requirements - Select appropriate Azure AI services - Monitor and optimize AI solutions |
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NEW QUESTION # 72
You are developing an AI application that retrieves database credentials from Key Vault by using the Azure SDK for Python.
The application must use managed identity for authentication.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified answer: Yes; Yes; No.
Detailed Explanation: The get_secret call supplies an explicit version value, so it retrieves that particular version of dbPassword. DefaultAzureCredential can authenticate to Key Vault by using the Azure-hosted application's managed identity without embedding a client secret in the application. Because the code requests a fixed version, later secret rotation creates a newer version but subsequent executions of this exact code continue to request the specified old version. To follow the latest version automatically, the version parameter must be omitted.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Managed identities for Azure resources | Use Key Vault references for App Service and Functions
NEW QUESTION # 73
You are designing an Azure Database for PostgreSQL table for semantic search. Queries frequently filter on the created_at column.
The schema must support vector similarity search and reliable date filtering.
You need to ensure that the table meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
To meet the requirements, store embeddings in a pgvector column and use a typed timestamp column for created_at. These two steps enable high-dimensional vector similarity operations and allow efficient, reliable date-based filtering.
Store embeddings in a pgvector column: Enables the database to store and query high- dimensional vector embeddings using native similarity operators.
Use a typed timestamp column for created_at: Ensures accurate date-and-time comparisons, indexing, and dependable performance when filtering queries by creation date.
Reference:
https://learn.microsoft.com/en-us/training/modules/implement-vector-search-azure-database-postgresql/
NEW QUESTION # 74
You have an Event Grid subscription that triggers an Azure Function.
You need to prevent loss of events in case the endpoint returns an HTTP 400 response. Which action should you perform?
Answer: B
NEW QUESTION # 75
You are developing a solution for a hospital to support the following use cases:
*The most recent patient status details must be retrieved even if multiple users in different locations have updated the patient record.
*Patient health monitoring data retrieved must be the current version or the prior version.
*After a patient is discharged and all charges have been assessed, the patient billing record contains the final charges.
You provision a Cosmos DB NoSQL database and set the default consistency level for the database account to Strong. You set the value for Indexing Mode to Consistent.
You need to minimize latency and any impact to the availability of the solution. You must override the default consistency level at the query level to meet the required consistency guarantees for the scenarios.
Which consistency levels should you implement? To answer, drag the appropriate consistency levels to the correct requirements. Each consistency level may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Strong consistency is required for the patient-status scenario because it provides linearizability : reads return the latest committed value. This is the appropriate guarantee when updates can originate from different locations and the application must never return an older patient status. Microsoft defines Strong as the highest Azure Cosmos DB consistency level and notes that it provides the strongest freshness guarantee, at the cost of greater latency and reduced availability compared with weaker models.
For health-monitoring data, Bounded Staleness is the intended consistency level. It explicitly limits how far reads can lag behind writes using a maximum number of versions (K) or a time interval (T). Conceptually, this matches a requirement that data may be current or only a limited number of versions behind.
For finalized billing data, Eventual consistency provides the lowest latency and highest availability. Once discharge processing is complete and no further billing writes occur , replicas eventually converge on the same final value. Microsoft specifically notes that, in the absence of further writes, weaker consistency levels ultimately yield the same converged data.
Azure Cosmos DB also permits requests to relax consistency below an account ' s Strong default , which is exactly the optimization pattern described here.
Study Guide references: Azure Cosmos DB for NoSQL # Strong consistency; Bounded Staleness; Eventual consistency; per-request consistency override; latency/availability trade-offs.
NEW QUESTION # 76
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. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
Detailed Explanation: The API should use a system-assigned managed identity so no application credential is stored or rotated by the development team. That identity should receive only the permission needed to read secret values: Key Vault Secrets User at the vault scope is materially narrower than Key Vault Administrator at subscription scope. Storing a secret value in App Configuration would violate the requirement to protect secrets and increases exposure. The corrected pair therefore implements both credential-free authentication and least-privilege authorization with a limited blast radius.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Azure Key Vault RBAC guide | Managed identities for Azure resources
NEW QUESTION # 77
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