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AI · Theory

MCQ

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Theory

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MCQ

MCQ is a practical “how do I study / build / talk about AI” topic. Give a path a fresher can follow this month: Python + one dataset + one model + one metric + one honest limit. Books and MCQs help only after that tiny project.

MCQ — output — idea / do / check for MCQ. Fill those three in the viva.

Trap for MCQ — collecting 20 course names and shipping nothing. One working notebook beats a bookmark folder.

Exam tip

30-day path: data → model → metric.

Example

# MCQ
print("idea :", "MCQ")
print("do   : one tiny example on paper")
print("check: one failure case")

MCQ — output: idea / do / check for MCQ. Fill those three in the viva.

Short notes

  • DefMCQ — a study/build path.
  • RuleMCQ — tiny project first.
  • RememberMCQ — metric + limit.

Questions

1

Explain MCQ as if you are teaching a junior — definition, then one example.

2

What does the example print, and what does that prove?

3

What mistake do freshers make with MCQ?

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