The AI-200 Practice Exam software is specially made for the students so they can feel real-based examination scenarios and feel some pressure on their brains and don't feel excessive issues while giving the final Microsoft exam. There are a lot of customers that are currently using BraindumpsIT and are satisfied with it. BraindumpsIT has designed this product after getting positive feedback from professionals and is rated one of the best study materials for the preparation of the Microsoft AI-200 Exam.
| Section | Objectives |
|---|---|
| Plan and manage Azure AI solutions | - Select appropriate Azure AI services - Monitor and optimize AI solutions - Plan security and compliance requirements |
| Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions - Implement natural language processing solutions |
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
>> Accurate AI-200 Prep Material <<
Success in the Developing AI Cloud Solutions on Azure (AI-200) certification exam helps people update their skills. Many aspirants don't find updated Microsoft AI-200 practice test questions and fail the final test. This failure in the Microsoft AI-200 Exam leads to a loss of money and time. If you are also planning to attempt the Developing AI Cloud Solutions on Azure (AI-200) exam and are confused about where to prepare yourself for it then you are at the right place.
NEW QUESTION # 26
Drag and Drop Question
A Python API running in ACA must send distributed traces to Azure Monitor.
The API creates spans. However, no traces appear in Azure Monitor.
You need to configure the OpenTelemetry SDK pipeline to export traces to Azure Monitor.
What should you do? To answer, move the appropriate actions to the correct requirements. You may use each action 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: Create the Azure Monitor component that sends trace data
To register a global TracerProvider in OpenTelemetry, you must call the SetTracerProvider method on the global tracer provider object, passing in your fully configured TracerProvider instance.
Box 2: Configure a span processor to send spans to the exporter
To export OpenTelemetry traces to Azure Monitor using the Python SDK, you must configure a span processor (such as BatchExportSpanProcessor), pass your initialized Azure Monitor trace exporter to it, and register that span processor with your global tracer provider.
Box 3: Initialize the application's TracerProvider for tracing
Box 4: Call tracer.start_as_current_span()
Acquire your tracer and create spans. Example code (continued from box 2 above):
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span("hello-aca-span")
Reference:
https://learn.microsoft.com/en-us/azure/durable-task/sdks/durable-task-scheduler-opentelemetry-tracing
https://learn.microsoft.com/en-us/python/api/overview/azure/monitor-opentelemetry-exporter-readme
NEW QUESTION # 27
You are developing a Retrieval-Augmented Generation (RAG) solution for a company. AI responses and embedding vectors are cached in Redis. The solution must meet the following requirements.
* AI responses must expire exactly 24 hours after they are cached
* Cached embeddings must always reflect the current source data.
You need to configure Redis to meet the requirements.
Answer:
Explanation:
Explanation:
I response expiry: set a 24-hour TTL on each key. Embedding freshness: delete related cache keys when the source document changes.
Detailed Explanation: A fixed TTL encodes the requirement that an AI response must expire after a defined period rather than survive indefinitely or have its lifetime extended on every read. Embedding freshness is a separate consistency requirement: when the authoritative document changes, any cached representation derived from the old document must be invalidated immediately. Memory eviction policies are capacity- management mechanisms and cannot guarantee a precise 24-hour lifetime or source-data consistency.
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 | Azure Managed Redis documentation
NEW QUESTION # 28
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
You are using Azure Monitor Application Insights to investigate a production API. You open the Logs blade and set the time range to Last 24 hours.
An engineer recommends the following query to count requests by result code and sort the results from most frequent to least frequent:
requests
| summarize request_count = count() by resultCode
| order by request_count desc
You need to determine whether the query returns the number of requests grouped by result code and sorted from most to least frequent.
Solution: The query returns one row per unique resultCode value with the number of requests in each group.
Does the solution meet the goal?
Answer: B
Explanation:
Correct:
* The query returns one row per unique resultCode value with the number of requests in each group.
The Kusto Query Language (KQL) query uses the summarize operator, which acts as a grouping and aggregation mechanism.
summarize request_count = count() by resultCode
This groups all the individual rows in the requests table by their unique resultCode. It then counts the total number of logs within each group and places that value into a new column called request_count.
order by request_count desc: This sorts those aggregated rows so that the resultCode with the highest number of requests appears at the top.
Incorrect:
* The result codes are sorted alphabetically.
* The query lists every individual request along with its result code.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/reference/tables/apprequests
NEW QUESTION # 29
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: C
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 # 30
Hotspot Question
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.
You review the following code segment that retrieves a secret from Key Vault.
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:
Box 1: No
No, this code will not retrieve the latest version of dbPassword.
Instead, it explicitly retrieves the specific version designated by the string "123".
To pull the latest active version of a secret, omit the version parameter entirely from the get_secret function.python# Change this line:
secret = client.get_secret("dbPassword", version="123")
# To this line:
secret = client.get_secret("dbPassword")
Box 2: Yes
Yes, the code will successfully authenticate to Azure Key Vault without storing client secrets when deployed to an Azure-hosted environment with a managed identity enabled.
DefaultAzureCredential Behavior: This class is a sequential chaining credential mechanism.
When deployed to Azure (such as Azure App Service, Azure VMs, or Azure Functions), it automatically looks for an active Managed Identity environment endpoint to fetch an access token.
Zero Secret Storage: Because the platform relies on the underlying Azure host infrastructure to handle identity token generation, you do not need to hardcode client secrets, passwords, or certificates anywhere inside your application code or configuration settings.
Box 3: No
No, subsequent calls to this code will not retrieve the new version.
By explicitly including version="123" in the get_secret method, you are requesting a specific immutable version of the secret.
Reference:
https://learn.microsoft.com/en-us/azure/key-vault/secrets/quick-create-python
NEW QUESTION # 31
......
Our AI-200 test torrent has been well received and have reached 99% pass rate with all our dedication. As a powerful tool for a lot of workers to walk forward a higher self-improvement, our AI-200 certification training continued to pursue our passion for advanced performance and human-centric technology. To get a full understanding of our AI-200 study torrent, you can visit our web or free download the demo of our AI-200 exam questions as we provide them on the web for our customers to try the quality of our AI-200 training guide.
AI-200 Top Exam Dumps: https://www.braindumpsit.com/AI-200_real-exam.html