Question 258 of 1,000
Design and Plan Database SolutionsmediumMultiple SelectObjective-mapped

PCDOE Design and Plan Database Solutions Practice Question

This PCDOE practice question tests your understanding of design and plan database solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A team is designing a Bigtable schema for a real-time fraud detection system. The row key includes device ID and timestamp. They need to avoid hotspotting during high write periods. Which two row key design patterns help achieve this? (Choose TWO.)

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

Add a hash prefix or salt to the beginning of the row key.

Option A is correct because adding a hash prefix or salt to the beginning of the row key distributes writes across multiple tablet servers, preventing hotspotting on a single node. In Bigtable, row keys are sorted lexicographically, so sequential device IDs or timestamps would cause all writes to hit the same tablet. A hash prefix ensures even distribution of write load.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Add a hash prefix or salt to the beginning of the row key.

    Why this is correct

    Salting distributes writes across tablets.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Put the most frequently filtered fields first in the row key.

    Why it's wrong here

    That optimizes reads, not write distribution.

  • Use reverse timestamp to keep recent data first.

    Why it's wrong here

    Doesn't prevent hotspotting; can even cause it if many writes happen at the same time.

  • Use device ID as the sole row key prefix to group data by device.

    Why it's wrong here

    High-volume devices cause hotspots.

  • Use a hash of the device ID to randomize the row key.

    Why this is correct

    Hashing ensures even distribution.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between patterns that optimize reads (like putting filtered fields first) versus patterns that prevent write hotspotting (like salting or hashing), and candidates mistakenly choose read-optimization patterns for a write-heavy scenario.

Detailed technical explanation

How to think about this question

Bigtable splits row key ranges into tablets, each served by a single tablet server. Without salting, sequential timestamps or device IDs cause all new writes to land on the last tablet, overwhelming it. A hash prefix (e.g., MD5 or CRC32 of the device ID) spreads writes uniformly across the key space. Option E (hash of device ID) achieves the same effect by randomizing the prefix, though it may scatter related reads; a common pattern is to use a hash prefix followed by the original device ID and timestamp to balance write distribution and read locality.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCDOE question test?

Design and Plan Database Solutions — This question tests Design and Plan Database Solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Add a hash prefix or salt to the beginning of the row key. — Option A is correct because adding a hash prefix or salt to the beginning of the row key distributes writes across multiple tablet servers, preventing hotspotting on a single node. In Bigtable, row keys are sorted lexicographically, so sequential device IDs or timestamps would cause all writes to hit the same tablet. A hash prefix ensures even distribution of write load.

What should I do if I get this PCDOE question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This PCDOE 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 PCDOE exam.