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Microsoft DP-100 Exam Questions
- Topic 1: Design and prepare a machine learning solution: This section of the exam covers designing a machine learning solution, managing the Azure machine learning workspace, and managing data in the Azure machine learning environment.
- Topic 2: Explore data and train models: This section of the exam covers exploring data by utilizing data assets and establishing models by utilizing Azure's machine learning designer. It also covers using automated machine learning to explore optimal frameworks.
- Topic 3: Prepare a model for deployment: This section also covers running model training scripts, implementing training pipelines, and overseeing frameworks in Azure Machine Learning.
- Topic 4: Deploy and retrain a model: This section covers implementing a model and deploying machine learning operations and practices.
Free Microsoft DP-100 Exam Actual Questions
Note: Premium Questions for DP-100 were last updated On Jul. 23, 2024 (see below)
You create an Azure Machine Learning workspace. You use Azure Machine Learning designer to create a pipeline within the workspace. You need to submit a pipeline run from the designer.
What should you do first?
You manage an Azure Machine Learning workspace.
You must log multiple metrics by using MLflow.
You need to maximize logging performance.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
You create an Azure Machine Learning workspace. You use Azure Machine Learning designer to create a pipeline within the workspace. You need to submit a pipeline run from the designer.
What should you do first?
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 in the review screen.
You use Azure Machine Learning designer to load the following datasets into an experiment:
You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
Solution: Use the Apply Transformation module.
Does the solution meet the goal?
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 in the review screen.
You use Azure Machine Learning designer to load the following datasets into an experiment:
You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
Solution: Use the Join Data module.
Does the solution meet the goal?
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