Machine Learning Operations (MLOps) Engineer Associate Certification (AI-300) - Microsoft - Free Practice

1

Question

HOTSPOT A machine learning model is deployed to production in Azure Machine Learning and is actively serving predictions for a business application. The model was trained by using a historical dataset that represented expected input patterns at the time of deployment.

The team working on the model must ensure the following: Changes in input data distribution are detected. Appropriate actions are triggered when predefined thresholds are exceeded. You need to configure monitoring to meet the requirements. Which configuration should you use for each requirement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Exhibit

HOTSPOT

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2

Question

DRAG DROP A company is standardizing generative AI development across multiple teams. Each team requires an isolated workspace. Governance and shared connections must be centrally managed. You need to implement a Microsoft Foundry environment structure that supports centralized governance and team isolation. Which type of configuration should you use for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.

Exhibit

Reveal Only

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3

Question

DRAG DROP A team runs training jobs by using multiple Azure Machine Learning pipelines. The team must ensure that all runs use the same Python packages and system libraries. The solution must allow dependency updates to be versioned without modifying training code. You need to configure the workspace so that runtime dependencies are consistent and reusable. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Exhibit

Reveal Only

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4

Question

A team manages an Azure Machine Learning workspace and deploys a model to an endpoint. A deployed online endpoint shows inconsistent response times during periods of high traffic. You need to identify potential performance degradation.

Which three metrics should you monitor? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Choose three

Select 3

Options

A Feature count

B Dataset size

C Request latency

D Connections active

E Requests per minute

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5

Question

HOTSPOT You manage a Retrieval-Augmented Generation (RAG) system that retrieves internal policy documents from a vector index.

Recent analysis shows that: Retrieved results frequently include duplicated content from the same document. Retrieved chunks sometimes span unrelated policy sections.

You review the following retrieval and ingestion configurations:

Exhibit

You need to reduce duplicated retrieval results and improve chunk relevance across policy sections.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE:
Each correct selection is worth one point.

Exhibit

HOTSPOT

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Machine Learning Operations (MLOps) Engineer Associate Certification (AI-300) - Microsoft Exam Questions

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