Topic 1

Question 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 benefit 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

Answer 1

B. a reduced workload for the customer service agents

Question 2

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.

Answer 2

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

Question 3

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.

There are ________ correctly predicted positives.
↓
5
11
1,033
13,951

There are ______ false negatives.
↓
5
11
1,033
13,951

Answer 3

There are ________ correctly predicted positives.
↓
11

There are ______ false negatives.
↓
1,033

Question 4

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.

Answer 4

B. Enable Explain best model.

Question 5

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

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

Identifying suspicious sign-ins by looking for deviations 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.

Answer 5

Forecasting housing prices based on historical data is an example of
anomaly detection. → No

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

Predicting whether a patient will develop diabetes based on the patient’s
medical history is an example of anomaly detection. → No

Question 6

To complete the sentence, select the appropriate option in the answer area.

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft _______ principle for responsible AI.
↓
- inclusiveness
- privacy and security
- reliability and safety
- transparency

Answer 6

reliability and safety

Question 7

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.

-Workloads Types-
- Anomaly detection
- Computer vision
- Conversational AI
- Knowledge mining
- Natural language processing

-Answer Area-
- An automated chat to answer questions about refunds and exchange
- Determining whether a photo contains a person
- Determining whether a review is positive or negative

Answer 7

• An automated chat to answer questions about refunds and exchange → Conversational AI
• Determining whether a photo contains a person → Computer vision
• Determining whether a review is positive or negative → Natural language processing

Question 8

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. accountability

Answer 8

inclusiveness

Question 9

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.

-Principles-
- Accountability
- Fairness
- Inclusiveness
- Privacy and security
- Reliability and safety

-Answer Area-
- Ensure that AI systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation
- Implementing processes to ensure that decisions made by AI systems can be overridden by humans
- Provide consumers with information and controls over the collection, use, and storage of their data

Answer 9

• Ensure that AI systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation → Reliability and safety
• Implementing processes to ensure that decisions made by AI systems can be overridden by humans → Accountability
• Provide consumers with information and controls over the collection, use, and storage of their data → Privacy and security

Question 10

To complete the sentence, select the appropriate option in the answer area.

When developing an AI system for self-driving cars, the Microsoft ______ principle for responsible AI should be applied to ensure consistent operation of the system during unexpected circumstances.
↓
- inclusiveness
- accountability
- reliability and safety
- fairness

Answer 10

reliability and safety

Question 11

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.

Answer 11

C. Provide documentation to help developers debug code.

Question 12

Match the types of AI workloads to the appropriate scenarios.

-Workload Types-
- Anomaly detection
- Computer vision
- Machine Learning (Regression)
- Natural language processing

-Answer Area-
- Identify handwritten letters.
- Predict the sentiment of a social media post.
- Identify a fraudulent credit card payment.
- Predict next month’s toy sales.

Answer 12

Computer vision→ Identify handwritten letters
Natural language processing → Predict the sentiment of a social media post
Anomaly detection → Identify a fraudulent credit card payment
Machine Learning (Regression) → Predict next month’s toy sales

Question 13

Select the answer that correctly completes the sentence.

• Key phrase extraction
• Language detection
• Named Entity Recognition (NER)
• Sentiment Analysis
  ↓
  used to extract dates, quantities, and locations from text.

Answer 13

Named Entity Recognition (NER)

Question 14

What are three Microsoft guiding principles for responsible AI?

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

Answer 14

C. Inclusiveness
D. Fairness
F. Reliability and safety

Question 15

To complete the sentence, select the appropriate option in the answer area.

Returning a bounding box that indicates the location of a vehicle in an image is an example of ________
↓
- image classification.
- object detection.
- optical character recognizer (OCR).
- semantic segmentation.

Answer 15

object detection.

Question 16

To complete the sentence, select the appropriate option in the answer area.

• Feature engineering
• Feature selection
• Model evaluation
• Model training
  ↓
  is used to generate additional features.

Answer 16

Feature engineering

Question 17

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

Answer 17

B. the Detect operation in the Face service

Question 18

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

Answer 18

A. transparency

Question 19

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

• Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI.
• A triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI.
• An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI.

Answer 19

• Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI. → Yes
• A triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI. → No
• An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI. → No

Question 20

Match the principles of responsible AI to appropriate requirements.

-Principles-
- Fairness
- Privacy and security
- Reliability and safety
- Transparency

-Answer Area-
- The system must not discriminate based on gender, race
- Personal data must be visible only to approve
- Automated decision-making processes must be recorded so that approved users can identify why a decision was made

Answer 20

• Fairness → The system must not discriminate based on gender, race.
• Privacy and Security → Personal data must be visible only to approved users.
• Transparency → Automated decision-making processes must be recorded so that approved users can identify why a decision was made.

Question 21

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?

-Processes-
- data encryption
- model retraining
- model training
- data preparation
- model evaluation

Answer 21

1. Data Preparation
2. Model Training
3. Model Evaluation

Question 22

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?

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

Answer 22

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 officer

Question 23

To complete the sentence, select the appropriate option in the answer area.

According to Microsoft’s _______ principle of responsible AI, AI systems should NOT reflect biases from the data sets that are used to train the systems.
↓
- accountability
- fairness
- inclusiveness
- transparency

Answer 23

fairness

Question 24

Duplicated of #23
To complete the sentence, select the appropriate option in the answer area.

According to Microsoft’s _______ principle of responsible AI, AI systems should NOT reflect biases from the data sets that are used to train the systems.
↓
- accountability
- fairness
- inclusiveness
- transparency

Answer 24

fairness

Question 25

Match the types of AI workloads to the appropriate scenarios. -Workload Types- - Anomaly detection - Computer vision - Knowledge mining - Natural language processing -Answer Area- - An automated chatbot to answer questions about refunds and exchanges - Determining whether a photo contains a person - Determining whether a review is positive or negative

Answer 25

- An automated chatbot to answer questions about refunds and exchanges → Natural language processing (NLP) - Determining whether a photo contains a person → Computer vision - Determining whether a review is positive or negative → Natural language processing (NLP)

Question 26

Match the machine learning tasks to the appropriate scenarios. -Learning Types- - Feature engineering - Feature selection - Model deployment - Model evaluation - Model training -Answer Area- - Examining the values of a confusion matrix - Splitting a date into month, day, and year fields - Pricking temperature and pressure to train a weather model

Answer 26

- Examining the values of a confusion matrix → Model evaluation - Splitting a date into month, day, and year fields → Feature engineering - Picking temperature and pressure to train a weather model → Feature selection

Question 27

To complete the sentence, select the appropriate option in the answer area. Data values that influence the prediction of a model are called _____ ↓ - dependent variables. - features. - identifiers. - labels.

Answer 27

features.

Question 28

You have the Predicted vs. True chart shown in the following exhibit. Graph Title: Predicted vs. True Y-axis: Predicted Value (0 to 80) | | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ | ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ |----------------------------------------------------> X-axis: True Value (-130.09 to 825) Which type of model is the chart used to evaluate? A. classification B. regression C. clustering

Answer 28

B. regression

Question 29

Which type of machine learning should you use to predict the number of gift cards that will be sold next month? A. classification B. regression C. clustering

Answer 29

B. regression

Question 30

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

Answer 30

B. the trip distance of individual taxi journeys

Question 31

You need to predict the sea level in meters for the next 10 years. Which type of machine learning should you use? A. classification B. regression C. clustering

Answer 31

B. regression

Question 32

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - 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.

Answer 32

- Automated machine learning is the process of automating the time-consuming, iterative tasks of machine learning model development. → Yes - Automated machine learning can automatically infer the training data from the use case provided. → No - Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify. → Yes - Automated machine learning enables you to specify a dataset and will automatically understand which label to predict. → No

Question 33

To complete the sentence, select the appropriate option in the answer area. A banking system that predicts whether a loan will be repaid is an example of the ____ type of machine learning. ↓ - classification - regression - clustering

Answer 33

classification

Question 34

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Labelling is the process of tagging training data with known values. - You should evaluate a model by using the same data used to train the model. - Accuracy is always the primary metric used to measure a model's performance.

Answer 34

- Labelling is the process of tagging training data with known values. → Yes - You should evaluate a model by using the same data used to train the model. → No - Accuracy is always the primary metric used to measure a model's performance. → No

Question 35

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

Answer 35

A. Form Recognizer

Question 36

To complete the sentence, select the appropriate option in the answer area. The ability to extract subtotals and totals from a receipt is a capability of the ____ service. ↓ - Custom Vision - Form Recognizer - Ink Recognizer - Text Analytics

Answer 36

Form Recognizer

Question 37

You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to access the web service? A. the model name B. the training endpoint C. the authentication key D. the REST endpoint

Answer 37

C. the authentication key D. the REST endpoint

Question 38

To complete the sentence, select the appropriate option in the answer area. From Azure Machine Learning designer, to deploy a real-time inference pipeline as a service for others to consume, you must deploy the model to _______ ↓ - a local web service. - Azure Container Instances. - Azure Kubernetes Service (AKS). - Azure Machine Learning compute.

Answer 38

Azure Kubernetes Service (AKS).

Question 39

To complete the sentence, select the appropriate option in the answer area. Predicting how many hours of overtime a delivery person will work based on the number of order received is an example of ______ ↓ - classification. - clustering. - regression.

Answer 39

regression.

Question 40

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Azure Machine Learning designer provides a drag-and-drop visual canvas to build, test, and deploy machine learning models. - 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.

Answer 40

- Azure Machine Learning designer provides a drag-and-drop visual canvas to build, test, and deploy machine learning models. → Yes - Azure Machine Learning designer enables you to save your progress as a pipeline draft. → Yes - Azure Machine Learning designer enables you to include custom JavaScript functions. → No

Question 41

You have the following dataset. Household Income 20,000 23,000 80,000 Postal Code 55555 20541 87960 House Price Category Low Middle High 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? Household income: - A feature - A label House Price Category: - A feature - A label

Answer 41

Household Income: A feature House Price Category: A label

Question 42

To complete the sentence, select the appropriate option in the answer area. Azure Machine Learning designer lets you create machine learning models by ↓ - adding and connecting modules on a visual canvas. - automatically performing common data preparation tasks. - automatically selecting an algorithm to build the most accurate model. - using a code-first notebook experience.

Answer 42

adding and connecting modules on a visual canvas.

Question 43

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline. - Automated machine learning implements machine learning solutions without the need for programming experience. - Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas.

Answer 43

- Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline. → No - Automated machine learning implements machine learning solutions without the need for programming experience. → Yes - Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas. → No

Question 44

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? A. clustering B. regression C. classification

Answer 44

C. classification

Question 45

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

Answer 45

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

Question 46

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? 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.

Answer 46

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

Question 47

You need to predict the income range of a given customer by using the following dataset. -First Name- Orlando Keith Donna Janet Lucy -Last Name- Gee Harris Carreras Gates Harrington -Age- 45 36 52 21 68 -Education Level- University High school University University High school -Income Range- 25,000 - 50,000 25,000 - 50,000 50,000 - 75,000 75,000 - 100,000 50,000 - 75,000 Which two fields should you use as features? A. Education Level B. Last Name C. Age D. Income Range E. First Name

Answer 47

A. Education Level C. Age

Question 48

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

Answer 48

A. Custom Vision

Question 49

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - 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 in 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.

Answer 49

- Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering. → Yes - Grouping similar patients based on symptoms and diagnostic test results in an example of clustering. → Yes - Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering. → No

Question 50

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - A validation set includes the set of input examples that will be used to train a model. - 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.

Answer 50

- A validation set includes the set of input examples that will be used to train a model. → No - A validation set can be used to determine how well a model predicts labels. → Yes - A validation set can be used to verify that all the training data was used to train the model. → No

Question 51

What are two metrics that you can use to evaluate a regression model? A. coefficient of determination (R2) B. F1 score C. root mean squared error (RMSE) D. area under curve (AUC) E. balanced accuracy

Answer 51

A. coefficient of determination (R2) C. root mean squared error (RMSE)

Question 52

To complete the sentence, select the appropriate option in the answer area. Predicting how many vehicles will travel across a bridge on a given day is an example of _____ ↓ - classification. - clustering. - regression.

Answer 52

regression.

Question 53

You need to use Azure Machine Learning designer to build a model that will predict automobile prices. Which type of modules should you use to complete the model? -Modules- - Convert to CSV - K-Means Clustering - Linear Regression - Split Data - Select Columns in Dataset - Summarize Data -Answer Area- Automobile price data (Raw) ↓ ☐ ↓ Clean Missing Data Remove missing value rows ↓ ☐ ↓↓ Train Model → ☐ ↓ Score Model ☐

Answer 53

Automobile price data (Raw) ↓ - Select Columns in Dataset (1st) ↓ Clean Missing Data ↓ - Split Data (2nd right) ↓↓ Train Model → - Linear Regression (2nd left) ↓ Score Model https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy?view=azureml-api-1

Question 54

Which type of machine learning should you use to identify groups of people who have similar purchasing habits? A. classification B. regression C. clustering

Answer 54

C. clustering

Question 55

To complete the sentence, select the appropriate option in the answer area. - Classification - Clustering - Regression ↓ models can be used to predict the sale price of auctioned items.

Answer 55

Regression

Question 56

Which metric can you use to evaluate a classification model? A. true positive rate B. mean absolute error (MAE) C. coefficient of determination (R2) D. root mean squared error (RMSE)

Answer 56

A. true positive rate

Question 57

Which two components can you drag onto a canvas in Azure Machine Learning designer? A. dataset B. compute C. pipeline D. module

Answer 57

A. dataset D. module

Question 58

You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use? A. Select Columns in Dataset B. Add Rows C. Split Data D. Join Data

Answer 58

C. Split Data

Question 59

Match the types of machine learning to the appropriate scenarios. -Learning Types- - Classification - Clustering - Regression -Answer Area- - Predict how many minutes late a flight will arrive based on the amount of snowfall at an airport. - Segment customers into different groups to support a marketing department. - Predict whether a student will complete a university course.

Answer 59

- Predict how many minutes late a flight will arrive based on the amount of snowfall at an airport. → Regression - Segment customers into different groups to support a marketing department. → Clustering - Predict whether a student will complete a university course. → Classification

Question 60

To complete the sentence, select the appropriate option in the answer area. - Accuracy - Confidence - Root Mean Square Error - Sentiment ↓ is the calculated probability of a correct image classification.

Answer 60

Confidence

Question 61

To complete the sentence, select the appropriate option in the answer area. Ensuring an AI system does not provide a prediction when important fields contain unusual or missing values is ______ principle for responsible AI. ↓ - an inclusiveness - a privacy and security - a reliability and safety - a transparency

Answer 61

a reliability and safety

Question 62

To complete the sentence, select the appropriate option in the answer area. Ensuring that the numeric variables in training data are on a similar scale is an example of ______ ↓ - data ingestion. - feature engineering. - feature selection. - model training.

Answer 62

feature engineering.

Question 63

To complete the sentence, select the appropriate option in the answer area. Assigning classes to images before training a classification model is an example of _______ ↓ - evaluation. - feature engineering - hyperparameter tuning. - labeling.

Answer 63

labeling.

Question 64

You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table. -Date- 26/02/2021 26/02/2021 26/02/2021 -Time- 15:31:07 15:31:39 02:32:21 Mass (kg) 2.108 2.099 2.098 Temperature (C) 62.5 62.4 66.4 Quality Test Pass Pass Fail For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Mass (kg) is a feature. - Quality Test is a label. - Temperature (C) is a label.

Answer 64

- Mass (kg) is a feature. → Yes - Quality Test is a label. → Yes - Temperature (C) is a label. → No

Question 65

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - You train a regression model by using unlabeled data. - The classification technique is used to predict sequential numerical data over time. - Grouping items by their common characteristics is an example of clustering.

Answer 65

- You train a regression model by using unlabeled data. → No - The classification technique is used to predict sequential numerical data over time. → No - Grouping items by their common characteristics is an example of clustering. → Yes

Question 66

Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process? A. Calculate the accuracy of the model. B. Score test data by using the model. C. Combine multiple datasets. D. Use the model for real-time predictions. E. Remove records that have missing values.

Answer 66

C. Combine multiple datasets. E. Remove records that have missing values.

Question 67

You need to predict the animal population of an area. Which Azure Machine Learning type should you use? A. regression B. clustering C. classification

Answer 67

A. regression

Question 68

Which two languages can you use to write custom code for Azure Machine Learning designer? A. Python B. R C. C# D. Scala

Answer 68

A. Python B. R

Question 69

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - For a regression model, labels must be numeric. - For a clustering model, labels must be used. - For a classification model, labels must be numeric.

Answer 69

- For a regression model, labels must be numeric. → Yes - For a clustering model, labels must be used. → No - For a classification model, labels must be numeric. → No

Question 70

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use? A. anomaly detection B. conversational AI C. computer vision D. natural language processing

Answer 70

C. computer vision

Question 71

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - When creating an object detection model in the Custom Vision service, you must choose a classification type of either Multilabel or Multiclass. - You can create an object detection model in the Custom Vision service to find the location of content within an image. - When creating an object detection model in the Custom Vision service, you can select from a set of predefined domains.

Answer 71

- When creating an object detection model in the Custom Vision service, you must choose a classification type of either Multilabel or Multiclass. → No - You can create an object detection model in the Custom Vision service to find the location of content within an image. → Yes - When creating an object detection model in the Custom Vision service, you can select from a set of predefined domains. → Yes

Question 72

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. A. Extract the invoice number from an invoice. B. Translate a form from French to English. C. Find image of product in a catalog. D. Identify the retailer from a receipt.

Answer 72

A. Extract the invoice number from an invoice. D. Identify the retailer from a receipt.

Question 73

Select the answer that correctly completes the sentence. Counting the number of animals in an area based on a video feed is an example of ↓ - forecasting. - computer vision. - conversational AI. - anomaly detection.

Answer 73

- computer vision.

Question 74

You have a database that contains a list of employees and their photos. You are tagging new photos of the employees. - The Face service can be used to perform facial recognition for employees. - The Face service will be more accurate if you provide more sample photos of each employee from different angles. - If an employee is wearing sunglasses, the Face service will always fail to recognize the employee.

Answer 74

- The Face service can be used to perform facial recognition for employees. → Yes - The Face service will be more accurate if you provide more sample photos of each employee from different angles. → Yes - If an employee is wearing sunglasses, the Face service will always fail to recognize the employee. → No

Question 75

You need to develop a mobile app for employees to scan and store their expenses while travelling. Which type of computer vision should you use? A. semantic segmentation B. image classification C. object detection D. optical character recognition (OCR)

Answer 75

D. optical character recognition (OCR)

Question 76

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - The Custom Vision service detect objects in an image. - The Custom Vision service requires that you provide your own data to train the model. - The Custom Vision service can be used to analyze video files.

Answer 76

- The Custom Vision service detect objects in an image. → Yes - The Custom Vision service requires that you provide your own data to train the model. → Yes - The Custom Vision service can be used to analyze video files. → No

Question 77

You are processing photos of runners in a race. You need to read the numbers on the runners' shirts to identity the runners in the photos. Which type of computer vision should you use? A. facial recognition B. optical character recognition (OCR) C. image classification D. object detection

Answer 77

B. optical character recognition (OCR)

Question 78

Match the types of machine learning to the appropriate scenarios. -Machine Learning Types- - Facial detection - Facial recognition - Image classification - Object detection - Optical character recognition (OCR) - Semantic segmentation -Answer Area- - Separate images of polar bears and brown bears. - Determine the location of a bear in a photo. - Determine which pixels in an image are part of a bear.

Answer 78

- Image classification → Separate images of polar bears and brown bears. - Object detection → Determine the location of a bear in a photo. - Semantic segmentation → Determine which pixels in an image are part of a bear.

Question 79

You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds. This is an example of which type of computer vision? A. object detection B. optical character recognition (OCR) C. scene segmentation

Answer 79

A. object detection

Question 80

Match the facial recognition tasks to the appropriate questions. -Tasks- - grouping - identification - similarity - verification -Answer Area- - Do two images of a face belong to the same person? - Does this person look like other people? - Do all the faces belong together? - Who is this person in this group of people?

Answer 80

- Verification → Do two images of a face belong to the same person? - Similarity → Does this person look like other people? - Grouping → Do all the faces belong together? - Identification → Who is this person in this group of people?

Question 81

Match the types of computer vision workloads to the appropriate scenarios. -Workloads Types- - Facial recognition - Image classification - Object detection - Optical character recognition (OCR) -Answer Area- - Identify celebrities in images. - Extract movie title names from movie poster images. - Locate vehicles in images.

Answer 81

- Facial recognition → Identify celebrities in images. - Optical character recognition (OCR) → Extract movie title names from movie poster images. - Object detection → Locate vehicles in images.

Question 82

You need to determine the location of cars in an image so that you can estimate the distance between the cars. Which type of computer vision should you use? A. optical character recognition (OCR) B. object detection C. image classification D. face detection

Answer 82

B. object detection

Question 83

To complete the sentence, select the appropriate option in the answer area. You can use the _______ service to train an object detection model by using your own images. ↓ - Computer Vision - Custom Vision - Form Recognizer - Video Indexer

Answer 83

Custom Vision

Question 84

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit. - Banana: 97.90% - Orange: 96.77% - Apple: 98.21% Which type of computer vision was used? A. object detection B. face detection C. optical character recognition (OCR) D. image classification

Answer 84

A. object detection

Question 85

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution. A. Train a custom image classification model. B. Detect faces in an image. C. Recognize handwritten text. D. Translate the text in an image between languages.

Answer 85

B. Detect faces in an image. C. Recognize handwritten text.

Question 86

What is a use case for classification? A. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night. B. analyzing the contents of images and grouping images that have similar colors C. predicting whether someone uses a bicycle to travel to work based on the distance from home to work D. predicting how many minutes it will take someone to run a race based on past race times

Answer 86

C. predicting whether someone uses a bicycle to travel to work based on the distance from home to work

Question 87

What are two tasks that can be performed by using computer vision? A. Predict stock prices. B. Detect brands in an image. C. Detect the color scheme in an image D. Translate text between languages. E. Extract key phrases.

Answer 87

B. Detect brands in an image. C. Detect the color scheme in an image

Question 88

You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use? A. Face B. Form Recognizer C. Text Analytics D. Computer Vision

Answer 88

D. Computer Vision

Question 89

In which two scenarios can you use the Form Recognizer service? A. Identify the retailer from a receipt B. Translate from French to English C. Extract the invoice number from an invoice D. Find images of products in a catalog

Answer 89

A. Identify the retailer from a receipt C. Extract the invoice number from an invoice

Question 90

==Duplicate of #80== Match the facial recognition tasks to the appropriate questions. -Tasks- - grouping - identification - similarity - verification -Answer Area- - Do two images of a face belong to the same person? - Does this person look like other people? - Who is this person in this group of people?

Answer 90

- Verification → Do two images of a face belong to the same person? - Similarity → Does this person look like other people? - Identification → Who is this person in this group of people?

Question 91

Which Computer Vision feature can you use to generate automatic captions for digital photographs? A. Recognize text. B. Identify the areas of interest. C. Detect objects. D. Describe the images.

Answer 91

D. Describe the images.

Question 92

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents? A. Custom Vision B. Face C. Form Recognizer D. Language

Answer 92

C. Form Recognizer

Question 93

Select the answer that correctly completes the sentence. - Object detection - Facial recognition - Image classification - Optical character recognition (OCR) ↓ extracts text from handwritten documents.

Answer 93

- Optical character recognition (OCR)

Question 94

You are developing a solution that uses the Text Analytics service. You need to identify the main talking points in a collection of documents. Which type of natural language processing should you use? A. entity recognition B. key phrase extraction C. sentiment analysis D. language detection

Answer 94

B. key phrase extraction

Question 95

In which two scenarios can you use speech recognition? A. an in-car system that reads text messages aloud B. providing closed captions for recorded or live videos C. creating an automated public address system for a train station D. creating a transcript of a telephone call or meeting

Answer 95

B. providing closed captions for recorded or live videos D. creating a transcript of a telephone call or meeting

Question 96

To complete the sentence, select the appropriate option in the answer area. While presenting at a conference, your session is transcribed into subtitles for the audience. This is an example of ↓ - sentiment analysis. - speech recognition. - speech synthesis. - translation.

Answer 96

- speech recognition.

Question 97

You need to build an app that will read recipe instructions aloud to support users who have reduced vision. Which version service should you use? A. Text Analytics B. Translator C. Speech D. Language Understanding (LUIS)

Answer 97

C. Speech

Question 98

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - You can use the Speech service to transcribe a call to text. - You can use the Text Analytics service to extract key entities from a call transcript. - You can use the Speech service to translate the audio of a call to a different language.

Answer 98

- You can use the Speech service to transcribe a call to text. → Yes - You can use the Text Analytics service to extract key entities from a call transcript. → Yes - You can use the Speech service to translate the audio of a call to a different language. → Yes

Question 99

Your website has a chatbot to assist customers. You need to detect when a customer is upset based on what the customer types in the chatbot. Which type of AI workload should you use? A. anomaly detection B. computer vision C. regression D. natural language processing

Answer 99

D. natural language processing

Question 100

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing. Which two services should you include in the solution? A. QnA Maker B. Azure Bot Service C. Form Recognizer D. Anomaly Detector

Answer 100

A. QnA Maker B. Azure Bot Service