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DP-100 Exam Dumps - Microsoft Azure Questions and Answers

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Questions 4

You arc I mating a deep learning model to identify cats and dogs. You have 25,000 color images.

You must meet the following requirements:

• Reduce the number of training epochs.

• Reduce the size of the neural network.

• Reduce over-fitting of the neural network.

You need to select the image modification values.

Which value should you use? To answer, select the appropriate Options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

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Questions 5

You create an Azure Machine Learning pipeline named pipeline 1 with two steps that contain Python scnpts. Data processed by the first step is passed to the second step.

You must update the content of the downstream data source of pipeline 1 and run the pipeline again.

You need to ensure the new run of pipeline 1 fully processes the updated content.

Solution: Change the value of the compute.target parameter of the PythonScriptStep object in the two steps.

Does the solution meet the goal'

Options:

A.

Yes

B.

No

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Questions 6

You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary

classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model.

You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module.

Which two hyperparameters should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Number of hidden nodes

B.

Learning Rate

C.

The type of the normalizer

D.

Number of learning iterations

E.

Hidden layer specification

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Questions 7

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

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

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.

Options:

A.

Connect the output of the Apply SQL Transformation to the Web Service Output module.

B.

Replace the Web Service Input module with a data input that does not include the price column.

C.

Add a Select Columns module before the Score Model module to select all columns other than price.

D.

Replace the training dataset module with a data input that does not include the price column.

E.

Remove the Apply Math Operation module that replaces price with its natural log from the data flow.

F.

Remove the Apply SQL Transformation module from the data flow.

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Page: 1 / 16
Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Last Update: May 1, 2024
Questions: 407
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