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| Section | Weight | Objectives |
|---|---|---|
| Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
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NEW QUESTION # 99
You are developing an application that must extract structured field data (invoice number, total, vendor name) from scanned invoices in multiple layouts. You need a solution that requires no custom model training. What should you use?
Answer: B
Explanation:
The prebuilt invoice model in Azure AI Document Intelligence is trained to recognize common invoice fields (vendor, total, line items, invoice number) out of the box across varied layouts, requiring no training data or custom model.
NEW QUESTION # 100
You publish custom AI inference events to an Event Grid topic.
Downstream services must receive events only if the confidenceScore value is greater than 0.80.
You need to filter events based on a numeric value in the event payload.
Which filter should you configure?
Answer: B
Explanation:
An Advanced Filter using the NumberGreaterThan operator configured with a key path pointing to the payload value (e.g., data.confidenceScore) and a comparison value of 0.80 should be set up.
To filter custom payload data based on a numeric threshold in Azure Event Grid, configure the event subscription with these properties:
Key: data.confidenceScore (adjust the path depending on your exact JSON payload structure) Operator: NumberGreaterThanValue: 0.80 Reference:
https://learn.microsoft.com/en-us/azure/event-grid/event-filtering
NEW QUESTION # 101
You have an Azure web app that uses Azure Cosmos DB as a data store. You create a Cosmos DB container by running the following PowerShell script:
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:
The question maps directly to the AI-200 objective "Develop AI solutions by using Azure Cosmos DB for NoSQL," which includes running queries and optimizing query performance and Request Unit (RU) consumption.
Statement 1: No - The minimum throughput is not 400 RU/s.
The PowerShell command provisions the container with:
-AutoscaleMaxThroughput 5000
Azure Cosmos DB autoscale operates between approximately 10% and 100% of the configured maximum throughput . Microsoft documentation specifically gives the example of an autoscale container provisioned with 5,000 RU/s scaling between 500 RU/s and 5,000 RU/s . Therefore, for this container, the minimum operating autoscale throughput is 500 RU/s , not 400 RU/s.
Therefore:
"The minimum throughput for the container is 400 RU/s." # No
Statement 2: No - The first query is not an in-partition query.
The container uses:
/EmployeeId
as its partition key.
The first query is:
SELECT * FROM c WHERE c.EmployeeId > ' 12345 '
Although the query references the partition key, it uses a range predicate ( > ) , not an equality predicate.
Microsoft explicitly states that a range filter on a partition key is not scoped to a single physical partition .
To qualify as an in-partition query, the filter must identify the applicable partition, typically through an equality predicate such as:
WHERE c.EmployeeId = ' 12345 '
Microsoft ' s documentation provides essentially the same example: a query using DeviceId > ... against a container partitioned by DeviceId is not an in-partition query .
Therefore:
"The first query statement is an in-partition query." # No
Statement 3: Yes - The second query is a cross-partition query.
The second query is:
SELECT * FROM c WHERE c.UserId = ' 12345 '
The container ' s partition key is /EmployeeId, not /UserId. Because the query contains no filter on the partition key , Azure Cosmos DB cannot route it to one logical partition. It must fan out the query across the applicable physical partitions and combine the results.
Microsoft describes this behavior directly: when a query does not contain a filter on the partition key, it must execute across the partitions.
Therefore:
"The second query statement is a cross-partition query." # Yes
NEW QUESTION # 102
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,C
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 # 103
You plan to deploy a container to an Azure App Service API app named api1. You host the source code for api1 in a GitHub repository. The container uses the API key at runtime to connect to a backend service.
The container must be able to retrieve the API key at runtime without exposing it in the source repository or Git commit history. The API key must not be stored in application configuration directly. The API key must be accessed securely from Azure Key Vault.
You need to ensure that the API key is stored securely in Azure Key Vault and is available to the container at runtime without being exposed in source control or Git commit history.
Solution: Store the API key as a GitHub repository secret.
Does the solution meet the goal?
Answer: B
NEW QUESTION # 104
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