Class 9 Chapter Practice

Artificial Intelligence Data Literacy MCQ Questions for Class 9

Related questions grouped automatically for chapter-wise practice. Topics include visual communication.

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Class 9 Artificial Intelligence Data Literacy Practice

Related questions grouped automatically for chapter-wise practice.

Data Literacy - Topics Covered

Artificial Intelligence Data Literacy ke topic-wise MCQs yahan grouped context me milenge. jo aap ko Exam ki preparation me madad milegi. Ye questions exam-oriented hai and students ko concept clarity, quick revision aur board exam preparation kaafi madad karenge. Sabhi se jude MCQs important topics ke anusar arranged hai, taaki aap Data Literacy ko easy tarike se practice aur revise kar sake.

  1. visual communication
    2 MCQs

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Artificial Intelligence Data Literacy MCQ Questions

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एक आलेख में ऊर्ध्वाधर अक्ष शून्य से शुरू नहीं होता और छोटे अंतर बहुत बड़े दिखाई देते हैं। यह किस समस्या का उदाहरण है?

A graph does not start its vertical axis from zero and small differences appear very large. What problem does this illustrate?

Explanation opens after your attempt
Correct Answer

B. दृश्य भ्रामकताVisual distortion

Explanation

Simple Explanation

कटा हुआ अक्ष वास्तविक अंतर को बढ़ा-चढ़ाकर दिखा सकता है। परीक्षा में मापनी और अक्ष की शुरुआत अवश्य जाँचें। / A truncated axis can exaggerate the actual difference. In exams, always check the scale and starting point of an axis.

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एक वृत्त आलेख में कुल प्रतिशत एक सौ दस है। दृश्य डिजाइन आकर्षक होने पर भी इसे क्यों अस्वीकार करना चाहिए?

A pie chart displays percentages that total one hundred and ten. Why should it be rejected even if its visual design is attractive?

Explanation opens after your attempt
Correct Answer

A. आंकड़ों की तार्किक शुद्धता गलत हैThe data logic is incorrect

Explanation

Simple Explanation

वृत्त आलेख के सभी भाग पूरे का प्रतिनिधित्व करते हैं इसलिए कुल एक सौ होना चाहिए। परीक्षा में सजावट से पहले डेटा सत्यापित करें। / All sectors of a pie chart represent one whole, so their total must be one hundred. In exams, verify data before judging decoration.

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FAQs

Artificial Intelligence Data Literacy FAQs

What will I learn in Data Literacy?

Related questions grouped automatically for chapter-wise practice. Topics include visual communication.

How should I practice this Artificial Intelligence chapter?

Start with Easy MCQs, review explanations after every answer, then move to Medium, Hard and Expert timed quizzes for stronger exam preparation.

Are topic-wise questions available?

Yes, this page includes topic-wise practice such as visual communication.