AI-200 Practice Exams Free - Detail AI-200 Explanation

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Microsoft AI-200 Exam Syllabus Topics:

Section	Objectives
Secure, monitor, troubleshoot Azure solutions	- Operate AI cloud solutions 1. Troubleshooting Azure solutions 2. Performance optimization 3. Monitoring and observability 4. Security and secret management
Connect to and consume Azure services	- Integrate Azure services 1. Serverless integration patterns 2. Azure messaging and eventing 3. Third-party SDKs 4. Azure SDKs 5. Event-driven architectures
Develop containerized solutions on Azure	- Implement containerized applications 1. Implement scalable hosting patterns 2. Deploy AI workloads in containers 3. Manage containerized compute environments
Develop AI solutions by using Azure data management services	- Work with Azure data platforms for AI workloads 1. Azure data management services 2. Vector databases 3. Data integration for AI applications

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Quiz Accurate Microsoft - AI-200 - Developing AI Cloud Solutions on Azure Practice Exams Free

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Microsoft Developing AI Cloud Solutions on Azure Sample Questions (Q116-Q121):

NEW QUESTION # 116
You develop an AI application that stores telemetry documents in Azure Cosmos DB for NoSQL.
Each document contains 30 properties. Queries filter only on deviceId and timestamp.
Write operations consume more RUs than expected.
You need to reduce RU consumption for write operations while maintaining query performance.
What should you do?

A. Enable strong consistency for all requests.
B. Configure selective indexing on queried properties.
C. Migrate to a different partition key.
D. Exclude unused properties from indexing.

Answer: D

Explanation:
Modify the indexing policy to include only deviceId and timestamp paths, and exclude all other paths. By default, Azure Cosmos DB indexes every property in a document, which drastically inflates the Request Units (RUs) consumed during write operations.
Reference:
https://www.datacamp.com/tutorial/azure-cosmos-db

NEW QUESTION # 117
You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
* Prevent secrets from being exposed in source control.
* Support secret rotation without redeploying the function app.
* Avoid downtime during credential updates.
You need to configure secure and maintainable secret management. What should you configure?

A. Application settings with Key Vault references
B. Hard coded connection string in the startup class
C. Parameter file stored in source control
D. Environment variables in local.settings.json

Answer: A

NEW QUESTION # 118
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?

A. Timer trigger
B. HTTP trigger
C. Input binding
D. Output binding

Answer: C

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 # 119
You are creating an Azure Functions app project in your local development environment by using Azure Functions Core Tools.
You must create the project in either Python or C# without using a template.
You need to specify the command and its parameter required to create the Azure Functions app project.
Which command and parameter should you specify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
* Command: func init
* Parameter: --worker-runtime
Use func init to initialize a new Azure Functions project. Microsoft documents func init as the Azure Functions Core Tools command that creates the project structure in either the current directory or a specified project folder. The command is specifically intended for creating a new Functions application project, whereas func new creates an individual function from a template inside an already initialized project.
The --worker-runtime parameter specifies the language/runtime model for the Functions project. For example, Microsoft documents func init --worker-runtime python for Python projects and func init --worker- runtime dotnet-isolated for modern C#/.NET isolated-worker projects.
--language is not the primary parameter used to establish the Functions worker runtime in this scenario. It can be relevant to certain runtime combinations, such as Node.js, but the Core Tools project initialization examples for Python and C# rely on --worker-runtime. --target-framework is used to select a specific .NET target framework after the worker/runtime model is determined; it does not identify whether the project should be Python or C#.
Therefore, the correct combination is func init + --worker-runtime .
Study Guide references: Azure Functions Core Tools # func init; local Functions project creation; --worker- runtime; Python and .NET isolated worker projects.

NEW QUESTION # 120
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?

A. Disable Azure Monitor entirely
B. Use a lower model version
C. Request modified content filtering / abuse monitoring configuration through Microsoft for the resource
D. Store all data only in Cosmos DB

Answer: C

Explanation:
Customers with qualifying requirements can apply to modify abuse monitoring and human review data logging for an Azure OpenAI resource through Microsoft's formal request process, which is the supported path for controlling this behavior - it isn't a client-side setting.

NEW QUESTION # 121
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