Free Microsoft DP-100 Exam Questions

Become Microsoft Certified with updated DP-100 exam questions and correct answers

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Total 511 Questions | Updated On: Aug 21, 2019

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Question 1

You create an Azure Machine Learning workspace. You train an MLflow-formatted regression model by using tabular structured data. You must use a Responsible AI dashboard to access the model. You need to use the Azure Machine Learning studio UI to generate the Responsible AI dashboard. What should you do first?

A : Deploy the model to a managed online endpoint.

B : gister the model with the workspace.

C : eate the model explanations.

D : nvert the model from the MLflow format to a custom format.

Answer: B

Question 2

You arc creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has

missing values in many columns. The data does not require the application of predictors for each column. You

plan to use the Clean Missing Data module to handle the missing data.

You need to select a data cleaning method.

Which method should you use?

A : nthetic Minority

B : place using Probabilistic PAC

C : place using MICE

D : rmalization

Answer: B

Question 3

You are implementing a machine learning model to predict stock prices. The model uses a PostgreSQL database and requires GPU processing. You need to create a virtual machine that is pre-configured with the required tools. What should you do?

A : Create a Data Science Virtual Machine (DSVM) Windows edition.

B : Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.

C : Create a Deep Learning Virtual Machine (DLVM) Linux edition.

D : Create a Deep Learning Virtual Machine (DLVM) Windows edition.

E : Create a Data Science Virtual Machine (DSVM) Linux edition.

Answer: E

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?

A :

B :

Answer: A

Question 5

You have an Azure Machine Learning workspace.

You plan to run a job to train a model as an MLflow model output.

You need to specify the output mode of the MLflow model.

Which three modes can you specify? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A : rw_mount

B : ro_mount

C : upload

D : download

E : direct

Answer: A,C,E

Page: 1 / 103

Total 511 Questions | Updated On: Aug 21, 2019

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