Free Microsoft DP-100 Exam Questions

Question 1

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.

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.

Answer: A,C,E

Question 2

You manage an Azure Machine Learning workspace. You plan to irain a natural language processing (NLP) tew classification model in multiple languages by using Azure Machine learning Python SDK v2. You need to configure the language of the text classification job by using automated machine learning. Which method of the TextClassifkationlob class should you use?

A : set.data

B : set_featurization

C : set_ sweep

D : set_training_parameters

Answer: B

Question 3

You manage an Azure Machine Learning workspace. You plan to irain a natural language processing (NLP) tew classification model in multiple languages by using Azure Machine learning Python SDK v2. You need to configure the language of the text classification job by using automated machine learning. Which method of the TextClassifkationlob class should you use?

A : set.data

B : set_featurization

C : set_ sweep

D : set_training_parameters

Answer: B

Question 4

You train and register an Azure Machine Learning model You plan to deploy the model to an online endpoint You need to ensure that applications will be able to use the authentication method with a nonexpiring artifact to access the model. Solution: Create a managed online endpoint and set the value of its auth.mode parameter to aml.token. Deploy the model to the online endpoint. Does the solution meet the goal?

A : Yes

B : No

Answer: B

Question 5

You build a data pipeline in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python.

You need to run a Python script as a pipeline step.

Which two classes could you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A : PythonScriptStep

B : AutoMLStep

C : CommandStep

D : RunStep

Answer: A,C