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AI and Machine Learning Quiz

Authored by Michael Jimenez

Business

Professional Development

Used 1+ times

AI and Machine Learning Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key consideration when identifying a business problem for an AI or ML solution?

The number of employees in the company

The location of the business

The problem to be solved, available data, and stakeholders' expectations

The budget available for the solution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to have sufficient data when using AI or ML?

To ensure the machine learns accurately

To speed up the process

To make the solution more expensive

To impress stakeholders with the amount of data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When is it acceptable for an AI or ML solution to provide an answer without clear explanation?

Never, the explanation should always be clear

When the answer is not important

When the machine is not functioning well

When the answer is dependable despite the lack of clear explanation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are AI and ML solutions not always 100 percent accurate?

Because they are too complex to function perfectly

Because they are based on statistical processing of data sets

Because they are not well-programmed

Because they are not used properly

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what situation might an AI or ML solution be appropriate even if it is not 100 percent accurate?

When the solution is only 50 percent accurate

When the solution introduces new problems

When the solution provides greater overall safety without introducing new problems

When the solution is 100 percent accurate

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of problem can AI and ML help with, other than just automation?

Communication problems

Physical problems

Learning problems

Math problems

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key factor to consider when using an AI or ML solution for a business problem?

The size of the solution

The color of the solution

The problem to be solved and the available data

The learning capabilities of the solution

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