DP-100 Practice Online

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 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?

A : Yes

B : No

Answer: A

Question 2

You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a machine learning pipeline by using the Import Data component. Which two data sources could you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point

A : Azure Blob storage container through a registered datastore

B : Azure SQL Database

C : URL via HTTP

D : Azure Data Lake Storage Gen2

E : Registered dataset

Answer: A,C

Question 3

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:

You need to load the training data.

Which code segment should you use?

A :

B :

C :

D :

E :

Answer: A

Question 4

You have an Azure Machine Learning workspace.

You plan to tune a model hyperparameter when you train the model.

You need to define a search space that returns a normally distributed value.

Which parameter should you use?

A : QUniform

B : LogUniform

C : Uniform

D : LogNormal

Answer: D

Question 5

You have been tasked with creating a new Azure pipeline via the Machine Learning designer. You have to makes sure that the pipeline trains a model using data in a comma-separated values (CSV) file that is published on a website. A dataset for the file for this file does not exist. Data from the CSV file must be ingested into the designer pipeline with the least amount of administrative effort as possible. Which of the following actions should you take?

A : You should make use of the Convert to TXT module.

B : You should add the Copy Data object to the pipeline.

C : You should add the Import Data object to the pipeline.

D : You should add the Dataset object to the pipeline.

Answer: D

Name:	Microsoft Designing and Implementing a Data Science Solution on Azure
Exam Code:	DP-100
Certification:	Microsoft Azure Data Scientist Associate
Vendor:	Microsoft
Total Questions:	511
Last Updated:	Apr 22, 2024

Download Demo DP-100 Dumps

Create Account

Password Recovery

Download Demo DP-100 Dumps

Member Login

Create Account

Password Recovery

DP-100 Practice Online