Microsoft Certified: Azure AI Fundamentals Mock Exam-1

Mock 1 | Microsoft Certified: Azure AI Fundamentals [AI 900]

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1 / 50

Which metric can you use to evaluate a classification model?

true positive rate

mean absolute error (MAE)

coefficient of determination (R2)

root mean squared error (RMSE)

2 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

[Select From Dropdown] models can be used to predict the sale price of auctioned items.

3 / 50

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

classification

regression

clustering

4 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Predicting how many vehicles will travel across a bridge on a given day is an example of [Select From Dropdown]

5 / 50

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.
Note: Each correct selection is worth one point.

coefficient of determination (R2)

F1 score

root mean squared error (RMSE)

area under curve (AUC)

balanced accuracy

6 / 50

HOTSPOT (Drag and Drop is not supported)
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:

A validation set includes the set of input examples that will be used to train a mode.

A validation set can be used to determine how well a model predicts labels.

A validation set can be used to verify that all the training data was used to train the model.

7 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering.

Grouping similar patients based on symptoms and diagnostic test results is an example of clustering.

Predicting whether a person will develop mild, moderate or severe allergy symptoms based on pollen count is an example of clustering.

8 / 50

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?

Custom Vision

Form Recognizer

Face

Computer Vision

9 / 50

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.

Education Level

Last Name

Age

Income Range

First Name

10 / 50

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.

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

Create a compute instance to use as a workstation.

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

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

11 / 50

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

to train the model twice to attain better accuracy

to train multiple models simultaneously to attain better performance

to test the model by using data that was not used to train the model

12 / 50

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined 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?

clustering

regression

classification

13 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Automated machine learning provides you with the ability to include custom Python scrips in a training pipeline.

Automated machine learning implements machine learning solutions without the need for programming experience.

Automated machine learning provides you with ability to visually connect datasets and models on an interactive canvas.

14 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Azure Machine Learning designer lets you create machine learning models by [Select From Dropdown]

15 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Household Price Category: [Select From Dropdown]

16 / 50

HOTSPOT (Drag and Drop is not supported)
You have the following dataset.

Household Income [Select From Dropdown]

17 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Azure Machine Learning designer provides a drag-and-drop visual canvas to build, test and deploy machine learning modes.

Azure Machine Learning designer enables you to save your progress as a pipeline draft.

Azure Machine Learning designer enables you to include custom JavaScript functions.

18 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Predicting how many hours a overtime a delivery person will work based on the number of order received is an example of [Select From Dropdown]

19 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
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From Azure Machine Learning designer, to deploy a real-time interface pipeline as a service for others to consume, you must deploy the model to [Select From Dropdown]

20 / 50

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.

the model name

the training endpoint

the authentication key

the REST endpoint

21 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

The ability to extract subtotals and totals from a receipt is a capability of the [Select From Dropdown] service.

22 / 50

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

Form Recognizer

Text Analytics

Language Understanding

Custom Vision

23 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Labelling is the process of tagging training data with known values.

You should evaluate model by using the same data used to train the model.

Accuracy is always the primary metric used to measure a model's performance.

24 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

A banking system that predicts whether a loan will be repaid is an example of the [Select From Dropdown] type of machine learning.

25 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Automated machine learning is the process of automating the time-consuming, iterative tasks of machine learning model development.

Automated machine learning can automatically infer the training data from the use case provided.

Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify.

Automated machine learning enables you to specify a dataset and will automatically understand which label to predict.

26 / 50

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

classification

regression

clustering

27 / 50

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?

the number of taxi journeys in the dataset

the trip distance of individual taxi journeys

the fare of individual taxi journeys

the trip ID of individual taxi journeys

28 / 50

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

classification

regression

clustering

29 / 50

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

Which type of model is the chart used to evaluate?

classification

regression

clustering

30 / 50

HOTSPOT (Drag and Drop is not supported)
Select the answer that correctly completes the sentence.
Hot Area:

Data values that influence the prediction of a mode are called [Select From Dropdown]

31 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

According Microsoft's [Select From Dropdown] principle of responsible AI, AI systems should NOT reflect biases from the data sets that are used to train the systems.

32 / 50

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.

Implement an Agile software development methodology

Implement a process of AI model validation as part of the software review process

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

Prevent the disclosure of the use of AI-based algorithms for automated decision making

33 / 50

DRAG DROP (Drag and Drop is not supported)
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:

data encryption

model retraining

model training

data preparatoin

model evaluation

34 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Providing an explanation of the outcome of a credit load application is an example of the Microsoft transparency principle for responsible AI.

A triage bot that prioritize insurance claims based on injuries is an example of Microsoft reliability and safety principle for responsible AI.

An AI solution that is offered at different princes for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI

35 / 50

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?

transparency

inclusiveness

fairness

privacy and security

36 / 50

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?

the Verify operation in the Face service

the Detect operation in the Face service

the Describe Image operation in the Computer Vision service

the Analyze Image operation in the Computer Vision service

37 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

[Select From Dropdown] is used to generate additional features.

38 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

Returning a bounding box that indicates the location of a vehicle is an images is an example of [Select From Dropdown]

image classification

object detectoin

optical character recognized (OCR)

semantic segmentation

39 / 50

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

knowledgeability

decisiveness

inclusiveness

fairness

opinionatedness

reliability and safety

40 / 50

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.
This an example of which Microsoft guiding principle for responsible AI?

accountability

fairness

inclusiveness

privacy and security

41 / 50

You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

Ensure that all visuals have an associated text that can be read by a screen reader.

Enable autoscaling to ensure that a service scales based on demand.

Provide documentation to help developers debug code.

Ensure that a training dataset is representative of the population.

42 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

When developing and AI system for self-driving cars, the Microsoft [Select From Dropdown] principle for responsible AI should be applied to ensure consistent operation of the system during unexpected circumstances.

43 / 50

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?

fairness

inclusiveness

reliability and safety

accountability

44 / 50

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft [Select From Dropdown] principle for responsible AI.

45 / 50

HOTSPOT (Drag and Drop is not supported)
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:

Forecasting housing prices based on historical data is an example of anomaly detection.

Identifying suspicious sign-ins by looking for deviation from usual patterns is an example of anomaly detection.

Predicting whether a patient will develop diabetes based on the patient's medical history is an example of anomaly detection.

46 / 50

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?

Set Validation type to Auto.

Enable Explain best model.

Set Primary metric to accuracy.

Set Max concurrent iterations to 0.

47 / 50

HOTSPOT (Drag and Drop is not supported)
You are developing a model to predict events by using classification.
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.

There are [Select From Dropdown] false negatives.

48 / 50

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.

There are [Select From Dropdown] correctly predicted positives.

49 / 50

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

Use features for training and labels for evaluation.

Randomly split the data into rows for training and rows for evaluation.

Use labels for training and features for evaluation.

Randomly split the data into columns for training and columns for evaluation.

50 / 50

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 benefit should the company expect as a result of creating the webchat bot solution?

increased sales

a reduced workload for the customer service agents

improved product reliability

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