Free Microsoft DP-100 Exam Questions

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?

A :

B :

Answer: B

Question 2

You use the following Python code in a notebook to deploy a model as a web service:The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment an initialization. Which code segment should you use?

A : service.state

B : service.environment

C : service.get_logs()

D : Service.serialize

Answer: C

Question 3

You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment. You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets. You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort. What should you do?

A : Create and register an Environment that includes the required packages. Use this Environment for all experiment runs.

B : Always run the experiment with an Estimator by using the default packages.

C : Do not specify an environment in the run configuration for the experiment. Run the experiment by using the default environment.

D : Create a config. yaml file defining the conda packages that are required and save the file in the experiment folder.

E : Create a virtual machine (VM) with the required Python configuration and attach the VM as a compute target. Use this compute target for all experiment runs.

Answer: A

Question 4

You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment. You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets. You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort. What should you do?

A : Create and register an Environment that includes the required packages. Use this Environment for all experiment runs.

B : Always run the experiment with an Estimator by using the default packages.

C : Do not specify an environment in the run configuration for the experiment. Run the experiment by using the default environment.

D : Create a config. yaml file defining the conda packages that are required and save the file in the experiment folder.

E : Create a virtual machine (VM) with the required Python configuration and attach the VM as a compute target. Use this compute target for all experiment runs.

Answer: A

Question 5

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?

A : rvice principal

B : token

C : naged identity

D : count key

Answer: A