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AI-900 Microsoft Azure AI Fundamentals Practice Test

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AI-900 Microsoft Azure AI Fundamentals Practice Test
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42 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

A predictive app provides audio output for visually impaired users. Which principle of Responsible AI is reflected here?

Transparency

Inclusiveness

Fairness

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Select Computer Vision model capability/capabilities


Image Classification

OCR

Object detection


All of mentioned

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

In AI, what is the purpose of Natural Language Processing (NLP)?

To create machine-to-machine communications.

To enable computers to understand and process human language.

To improve graphics processing units.

To manage server logs.

Answer explanation

NLP allows AI systems to interpret, understand, and generate human language, enabling applications like chatbots and translators.

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is an example of responsible AI practice?

Creating AI systems that always prioritize speed.

Developing AI without considering privacy.

Using AI to gather as much data as possible, regardless of consent.

Building AI with fairness, transparency, and accountability in mind.

Answer explanation

Responsible AI emphasizes fairness, transparency, and accountability, ensuring AI benefits all and respects user privacy.

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

How does computer vision contribute to AI applications?

By allowing machines to process and understand images.

By generating sound patterns for AI to recognize.

By enhancing text processing.

By improving cybersecurity systems.

Answer explanation

Computer vision allows AI systems to interpret and act on visual data, useful in tasks like facial recognition and medical imaging.

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following best defines machine learning?

A rule-based algorithm for automating tasks.

A system that only stores data.

A system solely used for gaming applications.

An approach where AI learns from data to make predictions or decisions.

Answer explanation

Machine learning involves AI systems learning from data without being explicitly programmed, making predictions based on patterns.

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which is an example of AI in healthcare?

AI systems predicting future market prices.

Managing hotel reservations.

Diagnosing diseases based on medical image analysis.

Enhancing online shopping experiences.

Answer explanation

AI systems in healthcare can analyze medical images to assist in diagnosing conditions, improving medical efficiency and accuracy.

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