Become Microsoft Certified with updated DP-100 exam questions and correct answers
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 create a model to forecast weather conditions based on historical data.
You need to create a pipeline that runs a processing script to load data from a datastore and pass the
processed data to a machine learning model training script.
Solution: Run the following code:
You use Azure Machine Learning Designer to load the following datasets into an experiment:
Dataset1
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 component.
Does the solution meet the goal?
You manage an Azure Machine learning workspace named workspace1. You must develop Python SDK v2 code to add a compute instance to workspace1. The code must import all required modules and call the constructor of the Compute instance class. You need to add the instantiated compute instance to workspace 1. What should you use?
You use the following Python code in a notebook to deploy a model as a web service:
The deployment fails.
You need to use the Python SDK in the notebook to determine the events that occurred during
service deployment an initialization.
Which code segment should you use?
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 create a model to forecast weather conditions based on historical data.
You need to create a pipeline that runs a processing script to load data from a datastore and pass the
processed data to a machine learning model training script.
Solution: Run the following code:
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