Multiple choice technology enterprise content management

While processing input file we can force dialogue to delete some section of datas for performance improval

  1. True

  2. False
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A Correct answer
Explanation

Test data optimization allows excluding or filtering sections of input data that are not relevant to specific test scenarios, improving processing performance. This is a common practice in data-driven testing to reduce execution time and focus on relevant test data subsets.

AI explanation

Many ETL/dialogue-based data processing tools let you configure sections of an incoming file to be skipped or dropped before further processing, specifically to reduce the volume of data the dialogue has to handle and thereby improve throughput. Discarding irrelevant sections early avoids unnecessary parsing, mapping, or transformation work downstream, which is a common performance-tuning technique.

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