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Quiz on Microsoft Azure AI Fundamentals (Exam AI-900)

Total questions: 24

Worksheet time: 12mins

Name
Class
Date
1.

What is the minimum score required to pass the Exam AI-900?

a)

750

b)

800

c)

700

d)

600

2.

Which certification can Azure AI Fundamentals help prepare for?

a)

Azure Administrator Associate

b)

Azure Solutions Architect Expert

c)

Azure Developer Associate

d)

Azure Data Scientist Associate

3.

What percentage of the exam covers 'Describe Artificial Intelligence workloads and considerations'?

a)

25–30%

b)

20–25%

c)

15–20%

d)

10–15%

4.

Which of the following is NOT a consideration for responsible AI?

a)

Fairness

b)

Transparency

c)

Profitability

d)

Inclusiveness

5.

What is the purpose of the Exam Sandbox?

a)

To request accommodations

b)

To renew certifications

c)

To explore the exam environment

d)

To schedule exams

6.

Which Azure service is used for facial detection and analysis?

a)

Azure AI Face detection

b)

Azure AI Language

c)

Azure AI Speech

d)

Azure AI Vision

7.

What is the primary focus of the Exam AI-900?

a)

Cloud infrastructure management

b)

Machine learning and AI concepts

c)

Network security fundamentals

d)

Data science and software engineering

8.

Which of the following is a feature of generative AI workloads on Azure?

a)

Language modeling

b)

Azure OpenAI service

c)

Entity recognition

d)

Image classification

9.

What is the recommended way to renew Microsoft certifications?

a)

Complete a training course

b)

Attend a workshop

c)

Pass a free online assessment

d)

Retake the original exam

10.

Which of the following is a feature of Natural Language Processing workloads on Azure?

a)

Image classification

b)

Key phrase extraction

c)

Object detection

d)

Facial analysis

11.

What is the primary use of Azure AI Foundry?

a)

Speech synthesis

b)

Image recognition

c)

Generative AI model catalog

d)

Data storage

12.

Which machine learning scenario involves predicting continuous values?

a)

Deep learning

b)

Classification

c)

Regression

d)

Clustering

13.

What is the purpose of training and validation datasets in machine learning?

a)

To test hardware

b)

To deploy models

c)

To improve model accuracy

d)

To store data

14.

Which Azure service is used for speech recognition and synthesis?

a)

Azure AI Foundry

b)

Azure AI Vision

c)

Azure AI Speech

d)

Azure AI Language

15.

What is a key feature of the Transformer architecture in machine learning?

a)

Facial recognition

b)

Object detection

c)

Natural language processing

d)

Image classification

16.

Which of the following is a feature of computer vision workloads on Azure?

a)

Speech translation

b)

Entity recognition

c)

Object detection

d)

Sentiment analysis

17.

What is the primary goal of responsible AI?

a)

Maximizing profits

b)

Improving hardware performance

c)

Ensuring fairness and transparency

d)

Reducing costs

18.

Which Azure service is used for optical character recognition?

a)

Azure AI Vision

b)

Azure AI Foundry

c)

Azure AI Language

d)

Azure AI Speech

19.

What is the primary use of Azure Machine Learning capabilities?

a)

Cloud infrastructure

b)

Model management and deployment

c)

Data storage

d)

Network security

20.

Which of the following is a feature of generative AI models?

a)

Image classification

b)

Language modeling

c)

Speech synthesis

d)

Facial recognition

21.

What is the purpose of the free Practice Assessment for Exam AI-900?

a)

To explore the exam environment

b)

To schedule exams

c)

To test skills with practice questions

d)

To renew certifications

22.

Which Azure service is used for translation tasks?

a)

Azure AI Foundry

b)

Azure AI Vision

c)

Azure AI Language

d)

Azure AI Speech

23.

What is the primary focus of clustering machine learning scenarios?

a)

Improving model accuracy

b)

Classifying data into categories

c)

Predicting continuous values

d)

Grouping similar data points

24.

Which Azure service is used for anomaly detection?

a)

Azure Machine Learning

b)

Azure AI Vision

c)

Azure AI Foundry

d)

Anomaly Detector