Operationalizing Machine Learning and Generative AI Solutions (beta)
Last Update Sep 11, 2026
Total Questions : 60
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You need to standardize how Fabrikam Inc. manages machine learning assets.
Which action should you perform first?
You need to isolate training workloads while remaining cost-aware to address Fabrikam Inc.’s issues, constraints, and technical requirements.
What should you implement?
You manage an Azure Machine Learning workspace named workspace1 by using the Python SDK v2.
The default datastore of workspace1 contains a folder named sample_data.
The folder structure contains the following content:
You write Python SDK v2 code to materialize the data from the files in the sample_data folder into a Pandas data frame.
You need to complete the Python SDK v2 code to use the MLTable folder as the materialization blueprint.
How should you complete the code? To answer, select the appropriate options in the answer area . NOTE: Each correct selection is worth one point
You manage an Azure Machine learning workspace. You develop a machine learning model.
You must deploy the model to use a low-priority VM with a pricing discount.
You need to deploy the model.
Which compute target should you use?
TESTED 11 Sep 2026
