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Topic 1 - Single Topic

Question #1 Topic 1

A company employs a team of customer service agents to provide telephone and email support to
customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business bene t should the company expect as a result of creating the webchat bot solution?

A.increased sales
B.a reduced workload for the customer service agents
C.improved product reliability

Question #2 Topic 1

For a machine learning progress, how should you split data for training and evaluation?

A.Use features for training and labels for evaluation.

B.Randomly split the data into rows for training and rows for evaluation.
C.Use labels for training and features for evaluation.
D. Randomly split the data into columns for training and columns for
evaluation.

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Question #3 Topic 1

HOTSPOT -
You are developing a model to predict events by using classi cation.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:

Question #4 Topic 1

You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?

A.Set Validation type to Auto.

B.Enable Explain best model.
C.Set Primary metric to accuracy.
D. Set Max concurrent iterations
to 0.

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Question #5 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select
No. NOTE: Each correct selection is worth one point.
Hot Area:

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Question #6 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

Question #7 Topic 1

DRAG DROP -
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used
once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

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Question #8 Topic 1

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?

A.fairness
B.inclusiveness
C.reliability and safety
D. accountabili
ty

Question #9 Topic 1

DRAG DROP -
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more
than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

Question #10 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

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Question #11 Topic 1

You are building an AI system.

Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible
AI?

A.Ensure that all visuals have an associated text that can be read by a screen reader.
B.Enable autoscaling to ensure that a service scales based on demand.
C.Provide documentation to help developers debug code.
D. Ensure that a training dataset is representative of the population.

Question #12 Topic 1

DRAG DROP -
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used
once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

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Question #13 Topic 1

HOTSPOT
-

Select the answer that correctly completes the sentence.

Question #14 Topic 1

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete
solution.
NOTE: Each correct selection is worth one point.

A.knowledgeability
B.decisiveness
C.inclusiveness
D. fairness
E.opinionatedness
F. reliability and
safety

Question #15 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

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Question #16 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

Question #17 Topic 1

You run a charity event that involves posting photos of people wearing sunglasses on
Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
✑ Include one or more faces.
✑ Contain at least one person wearing sunglasses.
What should you use to analyze the images?

A.the Verify operation in the Face service

B.the Detect operation in the Face service
C.the Describe Image operation in the Computer Vision service
D. the Analyze Image operation in the Computer Vision
service

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Question #18 Topic 1

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be
explainable.
This is an example of which Microsoft guiding principle for responsible AI?

A.transparency
B.inclusiveness
C.fairness
D. privacy and
security

Question #19 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select
No. NOTE: Each correct selection is worth one point.
Hot Area:

Question #20 Topic 1

DRAG DROP -
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more
than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

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Question #21 Topic 1

DRAG DROP -
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of
processes to the answer area and arrange them in the correct order.
Select and Place:

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Question #22 Topic 1

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A.Implement an Agile software development methodology

B.Implement a process of AI model validation as part of the software review process
C.Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy
o cer
D. Prevent the disclosure of the use of AI-based algorithms for automated decision making

Question #23 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

Question #24 Topic 1

HOTSPOT -
Select the answer that correctly completes the sentence.
Hot Area:

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Question #25 Topic 1

DRAG DROP -
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used
once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

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Question #26 Topic 1

DRAG DROP -
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not
at all.
NOTE: Each correct selection is worth one point.
Select and Place:

Question #27 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

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Question #28 Topic 1

You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

A.classi cation
B.regression
C.clustering

Question #29 Topic 1

Which type of machine learning should you use to predict the number of gift cards that will be sold next
month?

A.classi cation
B.regression
C.clustering

Question #30 Topic 1

You have a dataset that contains information about taxi journeys that occurred during a given
period.
You need to train a model to predict the fare of a taxi journey.
What should you use as a feature?

A.the number of taxi journeys in the dataset

B.the trip distance of individual taxi journeys
C.the fare of individual taxi journeys
D. the trip ID of individual taxi journeys

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Question #31 Topic 1

You need to predict the sea level in meters for the next 10
years.
Which type of machine learning should you use?

A.classi cation
B.regression
C.clustering

Question #32 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

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Question #33 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Question #34 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

Question #35 Topic 1

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A.Form Recognizer
B.Text Analytics
C.Language Understanding
D. Custom Vision

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Question #36 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

Question #37 Topic 1

You use Azure Machine Learning designer to publish an inference pipeline.

Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A.the model name

B.the training endpoint
C.the authentication key
D. the REST
endpoint

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Question #38 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

Question #39 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer
area. Hot Area:

Question #40 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select
No. NOTE: Each correct selection is worth one point.
Hot Area:

Previous Questions Next Questions

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Question #41 Topic 1

HOTSPOT -
You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

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Question #42 Topic 1

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Question #43 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

Question #44 Topic 1

A medical research project uses a large anonymized dataset of brain scan images that are categorized into prede ned brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are
reviewed by a person.
This is an example of which type of machine learning?

A.clustering
B.regression
C.classi cation

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Question #45 Topic 1

When training a model, why should you randomly split the rows into separate
subsets?

A.to train the model twice to attain better accuracy

B.to train multiple models simultaneously to attain better performance
C.to test the model by using data that was not used to train the
model

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Question #46 Topic 1

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are
two tasks that require an enterprise workspace? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Use a graphical user interface (GUI) to run automated machine learning experiments.

B. Create a compute instance to use as a workstation.

C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

D. Create a dataset from a comma-separated value (CSV) file.

Question #47 Topic 1

You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Education Level

B. Last Name

C. Age

D. Income Range

E. First Name

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Question #48 Topic 1

You are building a tool that will process images from retail stores and identify the products of competitors. The
solution will use a custom model.
Which Azure Cognitive Services service should you use?

A. Custom Vision

B. Form Recognizer

C. Face

D. Computer Vision

Question #49 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE:
Each correct selection is worth one point.
Hot Area:

Question #50 Topic 1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE:
Each correct selection is worth one point.
Hot Area:

◻ Previous Questions Next Questions ◻

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