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Free Online Microsoft DP-100 Practice Test

Prepare Your Microsoft DP-100 Exam Questions with Free online DP-100 Practice Test. Get Brilliant Microsoft Designing and Implementing a Data Science Solution on Azure Exam Results with Valid DP 100 Exam Dumps.

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Total 511 Questions | Updated On: May 14, 2024
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Question 1

You are using Azure Machine Learning to monitor a trained and deployed model. You implement Event Grid
to respond to Azure Machine Learning events.
Model performance has degraded due to model input data changes.
You need to trigger a remediation ML pipeline based on an Azure Machine Learning event.
Which event should you use?

Answer: B
Question 2

You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder
named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure
Machine Learning SDK.
You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local
compute.
You define a DataReference object by running the following code:
162
You need to load the training data.
Which code segment should you use?

Answer: A
Question 3

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.

Answer: C,D
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 plan to use a Python script to run an Azure Machine Learning experiment. The script creates a reference
to the experiment run context, loads data from a file, identifies the set of unique values for the label column,
and completes the experiment run:
from azureml.core import Run
import pandas as pd
run = Run.get_context()
data = pd.read_csv('data.csv')
label_vals = data['label'].unique()
# Add code to record metrics here
run.complete()
The experiment must record the unique labels in the data as metrics for the run that can be reviewed later.
You must add code to the script to record the unique label values as run metrics at the point indicated by the
comment.
Solution: Replace the comment with the following code:
for label_val in label_vals:
run.log('Label Values', label_val)
Does the solution meet the goal?

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?

Answer: A
Page:    1 / 103      
Total 511 Questions | Updated On: May 14, 2024
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