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Assertion (A): Data acquisition is a stage of AI project cycle.
Reason (R): Without collecting data, a model cannot be trained.
- (a)(A) is true but (R) is false.
- (b)(A) is false but (R) is true.
- (c)Both (A) and (R) are true and (R) is the correct explanation for (A).
- (d)Both (A) and (R) are true but (R) is not the correct explanation for (A).
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Both (A) and (R) are true and (R) is the correct explanation for (A).
Reason — Data acquisition is the second stage of the AI Project Cycle in which relevant data is collected, so the Assertion is true. Since an AI model learns and makes predictions only from data, it cannot be trained without collecting data. Thus, the Reason is true and correctly explains why data acquisition is a necessary stage.