Question 372 of 1,000
Storing the DatamediumMultiple SelectObjective-mapped

PDE Storing the Data Practice Question

This PDE practice question tests your understanding of storing the data. 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 Spanner database for a global inventory system. They need to optimize query performance for frequently joined tables. Which THREE design decisions help achieve this? (Choose 3.)

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

Design primary keys to distribute write load evenly across splits.

Option B is correct because Spanner uses distributed splits for scalability, and designing primary keys to avoid hotspots (e.g., using hash prefixes or monotonically increasing keys) ensures write load is evenly distributed across splits, preventing performance bottlenecks.

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.

  • Use Cloud SQL instead if joins are needed.

    Why it's wrong here

    Spanner supports joins efficiently with proper design.

  • Design primary keys to distribute write load evenly across splits.

    Why this is correct

    Good primary key design prevents hotspots and ensures scalability.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use interleaved tables to co-locate related rows.

    Why this is correct

    Interleaved tables improve join performance by storing parent and child rows together.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Store all data in a single table with JSON columns to avoid joins.

    Why it's wrong here

    Spanner is relational; JSON columns are not optimized for joins.

  • Create secondary indexes on columns used in WHERE clauses.

    Why this is correct

    Secondary indexes enable efficient point lookups and range scans.

    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 misconception that avoiding joins entirely (Option D) is a better optimization than properly using Spanner's native features like interleaving and secondary indexes, which are designed to handle joins efficiently at scale.

Detailed technical explanation

How to think about this question

Interleaved tables (Option C) physically co-locate parent and child rows in the same split, reducing cross-split reads and improving join performance. Secondary indexes (Option E) allow efficient lookup of rows by non-key columns, but in Spanner they are stored as separate tables that can introduce latency if not carefully designed; using a covering index can further reduce read costs.

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 PDE question test?

Storing the Data — This question tests Storing the Data — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Design primary keys to distribute write load evenly across splits. — Option B is correct because Spanner uses distributed splits for scalability, and designing primary keys to avoid hotspots (e.g., using hash prefixes or monotonically increasing keys) ensures write load is evenly distributed across splits, preventing performance bottlenecks.

What should I do if I get this PDE 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 PDE 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 PDE exam.