Free Microsoft DP-100 Exam Questions

Question 1

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?

A : constructor of the azure ai.ml. ComputerPowerAction enemy

B : set resources method of an instance of the azureai.ml. Command class

C : begin create or update method of a stance of the azure.ai. imLMLCSentdass

D : contractor of the azure.ai.ml. mLComputeSchedule class

Answer: C

Question 2

You create a batch inference pipeline by using the Azure ML SDK. You configure the pipeline parameters by executing the following code:

You need to obtain the output from the pipeline execution. Where will you find the output?

A : Activity Log in the Azure portal for the Machine Learning workspace

B : file named parallel_run_step.txt located in the output folder

C : digitjdentification.py script

D : Inference Clusters tab in Machine Learning studio

E : debug log

Answer: B

Question 3

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:

A : Yes

B : No

Answer: A

Question 4

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 an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:

✑ /data/2018/Q1.csv

✑ /data/2018/Q2.csv

✑ /data/2018/Q3.csv

✑ /data/2018/Q4.csv

✑ /data/2019/Q1.csv

All files store data in the following format:

id,f1,f2,I

1,1,2,0

2,1,1,1

3,2,1,0

4,2,2,1

You run the following code:

You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:

Solution: Run the following code:

Does the solution meet the goal?

A :

B :

Answer: A

Question 5

You use Azure Machine Learning Studio to build a machine learning experiment. You need to divide data into two distinct datasets. Which module should you use?

A : Split Data

B : Load Trained Model

C : Assign Data to Clusters

D : Group Data into Bins

Answer: D