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Why is tuning Hadoop jobs important to prevent slow or failed jobs?

easy📝 Conceptual Q11 of 15
Hadoop - Performance Tuning
Why is tuning Hadoop jobs important to prevent slow or failed jobs?
ABecause it adjusts resources to match data and cluster needs
BBecause it removes all data from the cluster
CBecause it disables job monitoring
DBecause it increases the job timeout to unlimited
Step-by-Step Solution
Solution:

  1. Step 1: Understand tuning purpose

    Tuning adjusts memory, reducers, and timeout to fit the job's data and cluster capacity.

  2. Step 2: Identify effects of tuning

    Proper tuning prevents jobs from running too slow or failing due to resource limits.

  3. Final Answer:

    Because it adjusts resources to match data and cluster needs -> Option A

  4. Quick Check:

    Tuning = Adjust resources [OK]
Quick Trick: Tuning matches resources to job needs to avoid slowdowns [OK]
Common Mistakes:
  • Thinking tuning disables monitoring
  • Assuming tuning removes data
  • Believing unlimited timeout always helps

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