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Ai 900 Machine Learning Qs

Total questions: 38

Worksheet time: 20mins

Name
Class
Date
1.

________ is used to generate additional features

a)

Feature Engineering

b)

Feature Selection

c)

Model Evaluation

d)

Model Training

2.

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.

a)

Data Preparation

b)

Model Training

c)

Data Encryption

d)

Model Evaluation

e)

Model retraining

3.

Match the machine learning tasks to the appropriate scenarios

Examining the values of a confusion matrix

a)

Feature Engineering

b)

Feature Selection

c)

Model Training

d)

Model Evaluation

e)

Model Deployment

4.

Match the machine learning tasks to the appropriate scenarios

Splitting a date into a day, month and year fields.

a)

Feature Engineering

b)

Feature Selection

c)

Model Training

d)

Model Evaluation

e)

Model Deployment

5.

Match the machine learning tasks to the appropriate scenario

Picking temperature and pressure to train a weather model.

a)

Feature Engineering

b)

Feature Selection

c)

Model Training

d)

Model Evaluation

e)

Model Deployment

6.

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

a)

Regression

b)

Classification

c)

clustering

7.

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

8.

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

a)

REGRESSION

b)

CLUSTERING

c)

CLASSIFICATION

9.

Automated Machine Learning is the process of automating the time-consuming iterative tasks of machine learning model Development.

a)

Yes

b)

No

10.

Automated Machine Learning can automatically infer the training data from the use case provided

a)

Yes

b)

No

11.

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

a)

Yes

b)

No

12.

Automated Machine Learning enables you to specify a dataset and will automatically understand which label to predict.

a)

Yes

b)

No

13.

A banking system that predicts whether a loan will be repaid is an example of the ____ of machine learning

a)

regression

b)

classification

c)

clustering

14.

Labelling is the process of tagging training data with known values

a)

Yes

b)

No

15.

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

a)

Yes

b)

No

16.

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

a)

Yes

b)

No

17.

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)
  • A. the model name

b)
  • B. the training endpoint

c)

C. the authentication key

d)

D. the REST endpoint

18.

From Azure Machie Learning designer, to deploy a real time inference pipeline as a service for others to consume, you must deploy the model to ___________

a)

A local Webservice

b)

Azure container instances

c)

Azure Kubernetes services

d)

Azure Machine learning computer

19.

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

a)

Yes

b)

No

20.

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

a)

Yes

b)

No

21.

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

a)

Yes

b)

No

22.

Azure Machine Learning Designer enables you to include custom Javascript functions

a)

Yes

b)

No

23.

ATTRIBUTES: Household income, Postal code, House Price category

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.

Household income is_____

House price category is_____

a)

Household income is a feature

b)

Household price is a label

c)

Household income is a label

d)

Household price is a feature

24.

Azure Machine learning designer lets you create machine learning models by

a)

adding and connecting modules on a visual canvas

b)

automatically performing common data preparation tasks

c)

automatically selecting the algorithm to build the most accurate model

d)

using a code first notebook experience

25.

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

a)

Yes

b)

No

26.

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

a)

Yes

b)

No

27.

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)

classification

b)

regression

c)

clustering

28.

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

29.

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)
  • Access to basic compute resources, including compute instances and simple deployment options like Azure Container Instances (ACI).

b)
  • Support for more advanced and scalable compute resources, such as Azure Kubernetes Service (AKS) for deploying models in production environments.

c)
  • Enhanced monitoring, logging, and auditing capabilities to track and manage resources and activities within the workspace.

d)
  • Enhanced security features, including managed virtual networks, private endpoints, and role-based access control (RBAC) for stricter security and compliance requirements.

30.

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

Attributes: , Name , Age, Education Level, Phonenum, Income Range

a)

Name

b)

Age

c)

Education Level

d)

Phone num

31.

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)
  • Form Recognizer

b)
  • Custom Vision

c)

Face

d)

Computer Vision

32.

A model is used to predict whether an email is spam or not spam. Out of 200 emails: 90 emails are spam, and 110 are not spam. The model predicted 85 spam emails correctly and 5 spam emails as not spam. It predicted 100 emails as not spam correctly and 10 non-spam emails as spam.

a)

True Positives (TP) = 85, False Negatives (FN) = 5

b)

True Positives (TP) = 85, False Negatives (FN) = 10

c)

c) True Negatives (TN) = 85, False Positives (FP) = 5

d)

All of the above

33.

Examining the Values of Confusion Matrix

a)

Model Evaluation

b)

Model Deployment

c)

Feature Selection

d)

Feature Engineering

34.

Splitting a date into date, month and year

a)

Model Evaluation

b)

Model Deployment

c)

Feature Selection

d)

Feature Engineering

35.

Picking temperature and pressure to train a weather model

a)

Model Evaluation

b)

Model Deployment

c)

Feature Selection

d)

Feature Engineering

36.

Which Azure ML tool uses a wizard to select configurations for a machine learning run?

a)

Automated Machine Learning

b)

Machine Learning Designer

c)

Azure Portal

d)

None

37.

Which Azure ML tool is used to create a Machine Learning workspace?

a)

Automated Machine Learning

b)

Machine Learning Designer

c)

Azure Portal

d)

None

38.

You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?

a)

Explain the model.

b)

Register the training data.

c)

Register the model.

d)

Provision an inference cluster