You manage an Azure Machine Learning workspace named workspace!.
You plan to author custom pipeline components by using Azure Machine Learning Python SDK v2.
You must transform the Python code into a YAML specification that can be processed by the pipeline service.
You need to import the Python library that provides the transformation functionality.
Which Python library should you import?
You manage an Azure Machine learning workspace.
You build a custom model you must log with Mlftow. The custom model includes the following:
• The model is not natively supported by Mlflow.
• The model cannot be serialized in Pickle format.
• The model source code is complex.
• The Python library tor the model must be packaged with the model.
You need to create a custom model flavor to enable logging with ML. flow.
What should you use?
A company ' s platform engineers manage the resource settings and governance of Microsoft Foundry.
Developers must be able to create and update project assets but must not be able to change resource-level configurations.
You need to enforce least privilege access for the engineers and developers.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Choose two.
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:
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.
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