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Google PCA Practice Question: Analysing and Optimising Technical and Business Processes

A company has a Bigtable instance handling time-series data. Write throughput is below expectations and latency is high. The row key format is `userid_timestamp`. Which row key design change would MOST improve performance?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use a hash of the userid as the row key prefix

Bigtable performance relies on distributing writes across tablets. A row key with a high-cardinality prefix (e.g., hashed userid) avoids hotspots. A timestamp prefix causes all writes to go to the last tablet (hotspot). Reversing timestamp helps but still not as good as hashing. Adding column families does not affect row key distribution.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use `timestamp_userid` without reversal

    Why it's wrong here

    This causes all new writes to a single tablet, creating a hotspot.

  • Add more column families to store different metrics

    Why it's wrong here

    Column families affect storage but not write distribution.

  • Use a hash of the userid as the row key prefix

    Why this is correct

    Hashing distributes writes evenly across tablets.

  • Reverse the timestamp and use `timestamp_userid`

    Why it's wrong here

    Reversing timestamp helps but still may cause hotspotting if many writes happen at same time; hashing is better.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCA practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.