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| Section | Objectives |
|---|---|
| Topic 1: Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Topic 2: Implement Azure AI solutions | - Implement computer vision solutions - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement natural language processing solutions |
| Topic 3: Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Select appropriate Azure AI services - Plan security and compliance requirements |
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The Developing AI Cloud Solutions on Azure AI-200 certification is a valuable credential earned by individuals to validate their skills and competence to perform certain job tasks. Your Developing AI Cloud Solutions on Azure AI-200 certification is usually displayed as proof that you’ve been trained, educated, and prepared to meet the specific requirement for your professional role. The Developing AI Cloud Solutions on Azure AI-200 Certification enables you to move ahead in your career later.
NEW QUESTION # 122
Drag and Drop Question
You are developing a .NET application that uses Azure Cosmos DB for NoSQL to store application data.
The application uses the Azure Cosmos DB for NoSQL SDK to interact with the database account.
The application must perform the following tasks:
- Initialize the connection by using the account endpoint and key.
- Define shared throughput.
- Perform create, read, update, and delete (CRUD) operations on items
stored in a container.
You need to implement the SDK components required for the application to access and manage data in Azure Cosmos DB for NoSQL.
Which SDK components should you use? To answer, move the appropriate components to the correct requirements. You may use each component once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: CosmosClient
To initialize the connection to an Azure Cosmos DB for NoSQL account using the account endpoint and key, you must use the CosmosClient class.
Box 2: Database
The database SDK component should be used to define shared throughput.
In Azure Cosmos DB, shared throughput (provisioned Request Units per second or RU/s) is configured at the database level. When throughput is provisioned on a database, that capacity is shared among all the containers created within that specific database.
Box 3: Container
To perform item create, read, update, and delete (CRUD) operations, you should use the Container SDK component In the Azure Cosmos DB for NoSQL SDK for .NET, individual JSON documents (items) live inside a container. The Container class exposes the specific methods required to execute CRUD operations on these items.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-dotnet-get-started
NEW QUESTION # 123
Your organization requires that all prompts and completions sent to Azure OpenAI be retained for zero data logging beyond what ' s required for abuse monitoring, per contractual requirements.
What should you do?
Answer: B
Explanation:
The applicable Azure OpenAI control is Modified Abuse Monitoring . Microsoft documents that customers processing highly sensitive or confidential information can apply to modify the normal abuse-monitoring process when they cannot permit Microsoft to store or conduct human review of prompts and completions.
Approval is subject to Microsoft ' s Limited Access eligibility requirements and must be requested through the designated Microsoft process.
For approved configurations, the abuse-monitoring treatment of prompts and completions is modified so that normal human review does not occur. Microsoft guidance on zero-data-retention scenarios specifically directs eligible customers to request Modified Abuse Monitoring rather than attempting to achieve the requirement by disabling unrelated telemetry services.
Disabling Azure Monitor does not change Azure OpenAI ' s service-side abuse-monitoring policy; it only affects customer-configured operational telemetry. Changing the model version likewise has no direct effect on retention requirements. Storing application data in Cosmos DB controls the application ' s own persistence layer and does not govern Azure OpenAI service processing.
Therefore, among the available choices, A is the required action. More precisely, the relevant request is Modified Abuse Monitoring ; modified content filtering/Guardrails is a separate control unless the organization also requires changes to safety filtering.
Study Guide references: Azure OpenAI # Data privacy and security; Abuse monitoring; Modified Abuse Monitoring; Limited Access requirements.
NEW QUESTION # 124
You are investigating high latency in an AI search application that processes millions of requests daily.
Telemetry is stored in Azure Monitor Logs.
You must create a KQL query that correlates information from the AppRequests table and the AppDependencies table. The query must meet the following requirements:
* Include only data from the last 24 hours.
* Filter for failed requests only.
* Calculate the average duration of dependencies, grouped by operation.
The query must follow best practice to optimize the performance by minimizing the initial data scan.
You need to create the query.
In which order should perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Verified answer: 1) Select the requests table; 2) apply the 24-hour time filter; 3) filter failed requests; 4) join the dependencies table; 5) summarize average dependency duration by operation.
Detailed Explanation: KQL performs best when high-selectivity filters are applied as early as possible, especially the time predicate that limits the amount of data scanned. Starting from AppRequests, restricting to the last 24 hours, and then filtering failures reduces the left-side dataset before the join. The dependency table is then correlated with those requests, and aggregation is performed last to calculate average dependency duration by operation. Joining or summarizing before the time and failure filters would process more data than necessary.
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 | Optimize log queries in Azure Monitor
NEW QUESTION # 125
An HTTP-triggered Azure Function must read a JSON configuration file stored in Azure Blob Storage.
You need to retrieve the configuration file contents.
What should you use?
Answer: D
Explanation:
To read a configuration file stored in Azure Blob Storage from an HTTP-triggered function, you must use an Azure Blob storage input binding.
Input bindings allow you to connect external data to your function natively without writing code to explicitly connect, authenticate, and download data using SDK clients.
Strategic Overview
The Trigger: You will use an HTTP Trigger to execute the function via a web request.
The Input: You will use a Blob Input Binding pointing to the specific JSON path in your storage account.
The Result: The Azure Functions runtime automatically retrieves the file contents and provides them directly to your function code as a string, byte array, or parsed object parameter.
Reference:
https://learn.microsoft.com/en-us/azure/azure-functions/functions-triggers-bindings
NEW QUESTION # 126
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: D
NEW QUESTION # 127
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