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To optimize a Hadoop data lake for both storing raw data and enabling fast queries on cleaned data, which zone combination should be implemented?

hard📝 Application Q8 of 15
Hadoop - Modern Data Architecture with Hadoop
To optimize a Hadoop data lake for both storing raw data and enabling fast queries on cleaned data, which zone combination should be implemented?
ARaw zone for ingestion and a curated zone optimized with indexes for analytics
BSandbox zone for raw data and processed zone for fast queries
CProcessed zone for raw data and raw zone for cleaned data
DCurated zone for raw data and sandbox zone for analytics
Step-by-Step Solution
Solution:
  1. Step 1: Identify zones for raw and cleaned data

    Raw zone stores unprocessed data; curated zone holds cleaned, optimized data.
  2. Step 2: Consider query performance

    Curated zone can be optimized with indexes or formats for fast querying.
  3. Step 3: Eliminate incorrect options

    Sandbox is for experimentation, not raw data; processed zone is for cleaned data, not raw.
  4. Final Answer:

    Raw zone for ingestion and a curated zone optimized with indexes for analytics -> Option A
  5. Quick Check:

    Raw = ingestion, curated = optimized queries [OK]
Quick Trick: Raw stores data; curated optimized for queries [OK]
Common Mistakes:
  • Mixing sandbox with raw or curated zones
  • Reversing roles of raw and processed zones
  • Ignoring optimization in curated zone

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