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AI900-01

Total questions: 40

Worksheet time: 20mins

Name
Class
Date
1.

How we teach a computer model to make predictions and draw conclusions from data

a)

Machine Learning

b)

Anomaly detection

c)

Computer vision

d)

Natural Languarge Processing

e)

Knowledge mining

2.
To automatically detect errors or unual activity in a system
a)
Anomaly detection
b)
Machine Learning
c)
Computer vision
d)
Natural Languarge Processing
e)
Knowledge mining
3.
To interpret the world through cameras, videos, and images
a)
Computer vision
b)
Machine Learning
c)
Anomaly detection
d)
Natural Languarge Processing
e)
knowledge mining
4.
To interpret written or spoken language and respond in kind
a)
Natural Language Processing
b)
Machine Learning
c)
Anomaly detection
d)
Computer Vision
e)
knowledge mining
5.

To extract information from large columns of unstructured data to create a searchable knowledge store

a)

knowledge mining

b)

Machine Learning

c)

Anomaly detection

d)

Computer Vision

e)

Natural Language Processing

6.
Enables non-experts to quickly create an effective machine learning model from data
a)
Automated machine learning
b)
Azure Machine learning designer
c)
Data and Compute Management
d)
Pipelines
7.
A graphical interface enabling no-code development of machine learning solutions
a)
Azure Machine learning designer
b)
Automated machine learning
c)
Data and Compute Management
d)
Pipelines
8.
Professional scientists can use these to run data experiment code at scale
a)
Data and Compute Management
b)
Automated machine learning
c)
Azure Machine learning designer
d)
Pipelines
9.

Professions can use this to orchestrate model training, deployment, and management tasks

a)

Piplines

b)

Automated machine learning

c)

Azure Machine learning designer

d)

Data and Compute Management

10.
The Anomaly Detector service provides __ that developers can use to create anomaly detection solutions
a)
API
b)
SDK
c)
GUI
d)
ISO
11.
This involves training a machine learning model to classify images based on their content
a)
image classification
b)
object detection
c)
Semantic Segmentation
d)
image analysis
12.
This model is trained to classify individual objects within an image, and identify their location with a bounding box
a)
object detection
b)
image classification
c)
Semantic Segmentation
d)
image analysis
13.
This is an advanced machine learning technique in which individual pixels in the image are classified according to the object to which they belong
a)
Semantic Segmentation
b)
image classification
c)
object detection
d)
image analysis
14.
This combines machine learning models with advanced image analysis to extra information including "tags" that could help catalog the image
a)
image analysis
b)
image classification
c)
Semantic Segmentation
d)
object detection
15.
Use this service to train custom image classification and object detection models using your own images
a)
Custom Vision
b)
Face
c)
Form Recognizer
d)
Computer Vision
16.
Use this service to extract information from scanned invoices
a)
Form Recognizer
b)
Face
c)
Custom Vision
d)
Computer Vision
17.
What can Natural Language Processing do
a)
Interpret text in documents
b)
Interpret spoken language
c)
Translate spoken languages
d)
Take appropriate actions based on commands
18.
The translator service can translate text between more than __ languages
a)
60.0
b)
6.0
c)
600.0
d)
6000.0
19.

This can be used to understand text or spoken commands for building intelligent applications

a)

Language Service

b)

Translator Service

c)

Speech Service

d)

Azure Bot

20.
This is a platform for a conversational AI in the form of a software agent
a)
Azure Bot
b)
Translator Service
c)
Speech Service
d)
Language Service
21.
__ is a knowledge mining tool for building indexes
a)
Cognitive Search
b)
Azure Bot
c)
Custom Vision
d)
Pipelines
22.
What are some of the challenges facing an AI Application Developer?
a)
Bias affecting results
b)
Errors causing harm
c)
Accidental exposure of data
d)
Trusting a complex system
e)
Liability for AI decisions
23.

Treating everyone the same without Bias is part of which AI Principle

a)

Fairness

b)

Reliability & Safety

c)

Privacy and Security

d)

Inclusiveness

e)

Transparency

24.

AI must be subject to rigorous testing and deployment management to ensure it works as expected before release, is part of which AI Principle

a)

Reliability & Safety

b)

Fairness

c)

Privacy and Security

d)

Inclusiveness

e)

Transparency

25.
Cause no harm to humans to part of which AI Principle
a)

Reliability & Safety

b)

Fairness

c)

Privacy and Security

d)

Inclusiveness

e)

Transparency

26.
Humans should only have access to information they are permitted to have is part of which AI Principle
a)

Privacy and Security

b)

Fairness

c)

Reliabilty & Safety

d)

Inclusiveness

e)

Transparency

27.
Someone changing the AI data so the results are in their favor is a violation of which AI Principle
a)

Privacy and Security

b)

Fairness

c)

Reliabilty & Safety

d)

Inclusiveness

e)

Transparency

28.
AI should bring benefits to all parts of society, is part of which AI Principle
a)
Inclusiveness
b)
Fairness
c)
Reliabilty & Safety
d)
Privacy and Security
e)
Transparency
29.
Understanding the purpose of the system, how it works, and the limitations is part of which AI Principle
a)
Transparency
b)
Fairness
c)
Reliabilty & Safety
d)
Privacy and Security
e)
Accountability
30.
AI should work within a framework of governance and principles that ensure solutions meet ethical and legal standards, is part of which AI principle
a)
Accountability
b)
Transparency
c)
Fairness
d)
Reliabilty & Safety
e)
Privacy and Security
31.
What are the capabilities of OpenAI AI Models?
a)
Generating natural language
b)
Generating code
c)
Generating images
d)
Making coffee
32.
This imitates human behvior by relying on machines to learn and execute tasks without explicit directions on what to output
a)
artificial intelligence
b)
machine learning
c)
deep learning
d)
generative AI
33.
Models take in data and fit the data to an algorithm to make predictions
a)
machine learning
b)
artificial intelligence
c)
deep learning
d)
generative AI
34.
Models use layers of algorithms
a)
deep learning
b)
artificial intelligence
c)
machine learning
d)
generative AI
35.
Models can produce new content based on what is described in the input
a)

generative ai

b)

artificial intelligence

c)

machine learning

d)

deep learning

36.
Which are part of the main components of Azure OpenAI
a)
pre-trained generative AI Models
b)
Customization capabilities
c)
tools to detect harmful use cases
d)
Security and role-based access control
e)
Make coffee
37.
AI Learning means a computer to identify an algorithm that best fits the data
a)
"True"
b)
"False"
38.
You have just created an Azure OpenAI Resources. How can you use the service?
a)
Rest APIs
b)
Python SDK
c)
Azure OpenAI Studio
d)
Baston Server
39.
Which of the following are Azure OpenAI Model Families
a)
GPT-4
b)
GPT-3
c)
Codex
d)
Embeddings
e)
DALL-E
40.
In Azure OpenAI Studio, you can experiment with OpenAI models in __
a)
playgrounds
b)
Management
c)
Models
d)
Deployments