Free Microsoft DP-100 Exam Questions

Become Microsoft Certified with updated DP-100 exam questions and correct answers

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Total 525 Questions | Updated On: Dec 05, 2024
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Question 1

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 are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply an Equal Width with Custom Start and Stop binning mode.
Does the solution meet the goal?


Answer: B
Question 2

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
Question 3

You have a dataset that contains records of patients tested for diabetes. The dataset includes the patient's age.
You plan to create an analysis that will report the mean age value from the differentially private data derived from the dataset.
You need to identify the epsilon value to use in the analysis that minimizes the risk of exposing the actual data.
Which epsilon value should you use?


Answer: C
Question 4

You have an Azure Machine Learning workspace. You are connecting an Azure Data Lake Storage Gen2 account to the workspace as a data store.
You need to authorize access from the workspace to the Azure Data Lake Storage Gen2 account.
What should you use?


Answer: A
Question 5

You create a pipeline in designer to train a model that predicts automobile prices.
Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the
training data, trains a model to predict this natural log of price value, and then calculates the exponential of the
scored label to get the predicted price.
The training pipeline is shown in the exhibit. (Click the Training pipeline tab.)
Training pipeline
59
You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the
Real-time pipeline tab.)
Real-time pipeline
60
You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored
label as the predicted automobile price and that client applications are not required to include a price value in
the input values.
Which three modifications must you make to the inference pipeline? Each correct answer presents part of the
solution.
NOTE: Each correct selection is worth one point.


Answer: A,C,E
Page:    1 / 105      
Total 525 Questions | Updated On: Dec 05, 2024
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