Wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

AzureAI-Final

Total questions: 48

Worksheet time: 28mins

Name
Class
Date
1.

What are the skills measured in the Azure AI Engineer Associate certification exam?

a)

Implementing decision support solutions

b)

Implementing natural language processing solutions

c)

Implementing knowledge mining and document intelligence solutions

d)

All of the mentioned

2.

What is the official Python library for the OpenAI API?

a)

openai

b)

openai-python

c)

openai-api

d)

openai-lib

3.

Which statement is an example of a Microsoft responsible AI principle?

a)

AI systems must use only publicly available data

b)

AI systems must be transparent and inclusive

c)

AI systems must keep personal details public

d)


AI systems must protect the interests of the company

4.

What is the recommended way to store your OpenAI API Key?

a)

Hardcode it in your Python script

b)

Store it in a text file

c)

Pass it as a command-line argument

d)

Store it in a .env file using python-dotenv

5.

What is the primary purpose of Named Entity Recognition (NER) in natural language processing?

a)

Translating text between languages

b)

Extracting insights from text data

c)

Recognizing and classifying entities like names, locations, and organizations in text

d)

Generating human-like text using language models

6.

In the context of computer vision, what is a bounding box?

a)

A filter applied to enhance image contrast

b)

A rectangle that encloses an object of interest in an image

c)

The process of dividing an image into smaller regions

d)

A visual representation of pixel intensities in an image

7.

What is the primary function of Azure Text Analytics?

a)

Language translation

b)

Creating custom language models

c)

Building conversational interfaces

d)

Sentiment analysis, key phrase extraction, and named entity recognition

8.

What are the primary skills required for a Data Scientist role?

a)

Data visualization and storytelling

b)

Statistical analysis and hypothesis testing

c)

Machine learning and predictive modeling

d)

All of the mentioned

9.

Which machine learning technique is commonly used for anomaly detection?

a)

Supervised learning

b)

Unsupervised learning

c)

Reinforcement learning

d)

Semi-supervised learning

10.

What is the primary function of Azure Form Recognizer?

a)

Extracting insights from text data

b)

Recognizing and extracting key information from forms and documents

c)

Creating custom language models

d)

Building conversational interfaces

11.

What is the purpose of a data source connection configuration in Azure Knowledge Mining?

a)

To define security policies for the data sources

b)

To specify the location of the search index

c)

To establish a connection with external databases

d)

To provide credentials and connection details for indexing data

12.

Which computer vision technique is commonly used for facial recognition and emotion analysis?

a)

Object Detection

b)

Image Classification

c)

Facial Landmark Detection

d)

Image Segmentation

13.

What is the main objective of sentiment analysis in natural language processing?

a)

Identifying grammatical errors in text

b)

Extracting key phrases from text

c)

Recognizing and classifying emotions in text

d)

Generating human-like text using language models

14.

Which of the following human attributes can AI imitate?

a)

Making decisions based on data and past experience

b)

Recognizing abnormal events

c)

Interpreting visual input

d)

Understanding written and spoken language

e)

Critical thinking for moral, ethical, and humane behavior

15.

Which of the following are common AI workloads? (Select Two)

a)

Machine Learning

b)

Blockchain

c)

Computer Vision

d)

Batch processing

16.

Which feature of the Azure Machine Learning service allows non-experts to create machine learning models

quickly by just submitting data and selecting the desired model?

a)

Automated machine learning

b)

Pipelines

c)

Data and compute management

d)

Azure machine learning designer

17.

Systems that detect unusual patterns or events, enabling pre-emptive action

a)

Anomaly Detection

b)

Computer Vision

c)

Natural Language Processing

d)

Conversational AI

18.

AI agents, (or bots), that can engage in dialogs with human users

a)

Conversational AI

b)

Computer Vision

c)

Anomaly Detection

19.

Which of the responsible AI principles is concerned with the mitigation of bias in a machine learning model ?

a)

Transparency

b)

Inclusiveness

c)

Accountability

d)

Fairness

20.

An app is able to extract the nutrition facts from food products as text. Which type of computer vision does it perform?

a)

facial recognition

b)

Semantic segmentation

c)

Optical Character Recognition

d)

Object Classification

21.

Which one is an example of an anomaly detection workload?

a)

Analyze the sentiment of an article

b)

Predict next month's product sales

c)

Extract handwritten text

d)

Identify fraudulent credit card payment

22.

You are developing an application that must take English input from a text source and generate a real-time text-based transcription in French. Which service should you use?

a)

Translator Text

b)

Speech

c)

Text Analytics

23.

You want to train a model that classifies images of dogs and cats based on a collection of your own digital photographs. Which Azure service should you use?

a)

Azure Bot Service

b)

Custom Vision

c)

Mobile Vision

d)

Microsoft Vision

24.

It enables you to define and publish a knowledge base of questions and answers with support for natural language querying.

a)

Bot Framework

b)

QnA Maker Service

c)

Azure Bot Service

d)

Conversational AI

25.

This service provides a framework for developing, publishing, and managing bots on Azure.

a)

Framework Service

b)

QnA Maker Service

c)

Azure Bot Service

d)

Conversational AI

26.

You can write code to create and manage knowledge bases using the QnA Maker REST API or SDK.

a)

False

b)

True

27.

You can delete the resource group or individual resources from your Azure subscription.

a)

True

b)

False

28.

A knowledge base is what?

a)

Question and answer pairs that can be queried using natural language input

b)

Question and answer pairs that can be queried using exact language input

c)

A list of facts that can be queried using natural language input

d)

A list of questions that can be queried using exact language input

29.

What are two ways you can populate a knowledge base with existing question and answer pairs? Select all that apply.

a)

Import questions and answers from existing web pages or documents

b)

Import answers from an existing web pages or documents and use AI to create the questions.

c)

Add pre-defined “chit-chat” pairs that include common conversational questions and responses.

d)

You cannot populate a knowledge base with existing question and answer pairs.

30.

Can you create a QnA Maker solution without using the QnA Maker portal?

a)

Yes, you can use machine learning to write code that defines, trains, and publishes the knowledge base.

b)

Yes, you can use the REST API or SDK to write code that defines, trains, and publishes the knowledge base.

c)

No, you must use the QnA Maker to create a QnA Maker solution.

d)

No, but you can create a knowledge base using the Knowledge SDK.

31.

Both language understanding and QnA Maker Knowledge base are forms of language models, but there are some differences. What action does the QnA Maker enable that the Language Understanding service does not?

a)

User submits an utterance, expecting an appropriate response or action.

b)

Response indicates the most likely intent and referenced entities

c)

Response is a static answer to a known question

32.

What service is used to create a bot from your knowledge base?

a)

QnA Maker

b)

Language Understanding

c)

Text Analytics

d)

Language Analytics

33.

1.

You want to use the Azure AI Vision Analyze Image function to generate an appropriate caption for an image. Which visual feature should you specify?

a)

Densecaption

b)

Tags

c)

Objects

d)

Metadata

34.

What is the purpose of the Azure AI Vision service?

a)

To provide functionality for audio transcription

b)

To extract information from images

c)

To detect the presence and location of specific sounds within an audio file

d)

To translate the instructions in AzureAI Lab

35.

Which of the following facial attributes can the Azure AI Vision service predict?

a)

Location.

b)

Type of eye-glasses.

c)

Occlusion.

d)

Eyelens

36.

You need to create a facial recognition solution to identify named employees. Which service should you use?

a)

Azure AI Vision.

b)

Azure AI Custom Vision.

c)

Face.

d)

AI Translate.

37.

You need to verify that the person in a photo taken at hospital reception is the same person in a photo taken at a ward entrance 10 minutes later. What should you do?

a)

Create a People Group and add a person for every hospital visitor with multiple photographs to train a model.

b)

Verify the face in the ward photo by comparing it to the detected face ID from the reception photo.

c)

Compare the Age, head pose, and hair color for the faces in the reception and ward photo's.

d)

Remember the faces and Manually choose it

38.

Which cloud model uses some datacenters focused on providing cloud services to anyone that wants them, and some data centers that are focused on a single customer?

a)

Public Cloud

b)

Private Cloud

c)

Hybrid Cloud

d)

Multi Cloud

39.

According to the shared responsibility model, which cloud service type places the most responsibility on the customer?

a)

IaaS

b)

PaaS

c)

FaaS

d)

SaaS

40.

What is characterized as the ability of a system to recover from failures and continue to function?

a)

Reliability

b)

Predictability

c)

Scalability

d)

Scalability

41.

An application requires three separate AI services. To see the cost for each separately, what type of resource(s) should be created?

a)

A multi-service resource that includes all the AI services

b)

A single-service resource for each AI service

c)

It's not possible to see costs for individual AI services

d)

A Twin-service resource for each AI service

42.

After logging into one of the individual Azure studios, what is one task to complete to begin using the studio?

a)

Input a key and endpoint into the studio

b)

Customize the API request.

c)

Associate a resource with the studio

d)

Refresh the page

43.

What is an Azure AI services resource?

a)

A bundle of several AI services in one resource

b)

An AI service to recognize faces

c)

A single-service resource for Azure AI Search

d)

AI Service to Translate

44.

Your organization has an existing frequently asked questions (FAQ) document. You need to create a knowledge base that includes the questions and answers from the FAQ with the least possible effort. What should you do?

a)

Create an empty knowledge base, and then manually copy and paste the FAQ entries into it.

b)

Import the existing FAQ document into a new knowledge base.

c)

Import a pre-defined chit-chat data source.

45.

You want to create a knowledge base for your organization’s bot service. Which Azure AI service is best suited to creating a knowledge base?

a)

Conversational Language Understanding

b)

Question Answering

c)

Optical Character Recognition

46.

You plan to build an application that uses Azure AI Speech to transcribe audio recordings of phone calls into text, and then submit the transcribed text to Azure AI Language to extract key phrases. You want to manage access and billing for the application services with a single Azure resource. Which type of Azure resource should you create?

a)

Speech

b)

Language

c)

Azure AI services

d)

Translate

47.

You want to use Azure AI Speech service to build an application that reads incoming email message subjects aloud. Which API should you use?

a)

Speech to text

b)

Text to speech

c)

Translator

d)

Transliterator

48.

What is the main function of the Azure AI Speech to text API?

a)

It converts text into audible speech.

b)

It translates speech from one language to another.

c)

It performs real-time or batch transcription of audio into a text format.