Free Microsoft DP-100 Exam Questions
Absolute Free DP-100 Exam Practice for Comprehensive Preparation
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Microsoft DP-100 Exam Questions
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Provided By: Microsoft
- Exam: Microsoft Designing and Implementing a Data Science Solution on Azure
- Certification: Microsoft Azure Data Scientist Associate
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Total Questions: 525
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Updated On: Jan 07, 2025
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Rated: 4.9 |
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Online Users: 1050
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Question 1
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You need to select an environment that will meet the business and data requirements.Which environment should you use?
Answer: D
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Question 2
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You use the Azure Machine Learning service to create a tabular dataset named training_data. You plan to use
this dataset in a training script.
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get("training_data")
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training_data
dataset.
Which property should you set?
Answer: B
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You use the Azure Machine Learning service to create a tabular dataset named training_data. You plan to use
this dataset in a training script.
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get("training_data")
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training_data
dataset.
Which property should you set?
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Question 3
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Note: This question is part of a series of questions that present the same scenario. Each question in theseries contains a unique solution that might meet the stated goals. Some question sets might have morethan 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, thesequestions will not appear in the review screen.You plan to use a Python script to run an Azure Machine Learning experiment. The script creates a referenceto the experiment run context, loads data from a file, identifies the set of unique values for the label column,and completes the experiment run:from azureml.core import Runimport pandas as pdrun = Run.get_context()data = pd.read_csv('data.csv')label_vals = data['label'].unique()# Add code to record metrics hererun.complete()The experiment must record the unique labels in the data as metrics for the run that can be reviewed later.You must add code to the script to record the unique label values as run metrics at the point indicated by thecomment.Solution: Replace the comment with the following code:for label_val in label_vals:run.log('Label Values', label_val)Does the solution meet the goal?
Answer: A
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Question 4
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You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a
machine learning pipeline by using the Import Data component. Which two data sources could you use? Each
correct answer presents a complete solution.
NOTE: Each correct selection is worth one point
Answer: A,C
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You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a
machine learning pipeline by using the Import Data component. Which two data sources could you use? Each
correct answer presents a complete solution.
NOTE: Each correct selection is worth one point
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Question 5
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You have an Azure Machine Learning workspace.
You plan to run a job to train a model as an MLflow model output.
You need to specify the output mode of the MLflow model.
Which three modes can you specify? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: A,C,E
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You have an Azure Machine Learning workspace.