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Storing the Data →hardMultiple ChoiceObjective-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 needs to run hybrid transactional/analytical workloads on PostgreSQL-compatible data with low latency. They require high performance on both OLTP and OLAP queries, leveraging a columnar engine. Which Google Cloud service is best suited?

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

✓

AlloyDB

AlloyDB is the correct choice because it is a fully managed PostgreSQL-compatible database service on Google Cloud that combines a columnar engine for fast analytical queries with high transactional performance. It uses a columnar query accelerator to offload analytical workloads from the transactional engine, enabling low-latency hybrid transactional/analytical processing (HTAP) without data movement.

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.

  • ✓

    AlloyDB

    Why this is correct

    AlloyDB combines PostgreSQL compatibility with a columnar engine for fast analytics.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    Cloud SQL for PostgreSQL

    Why it's wrong here

    Cloud SQL does not have a columnar engine for analytics.

  • ✗

    Cloud Spanner

    Why it's wrong here

    Spanner is transactional but not optimized for analytics.

  • ✗

    BigQuery

    Why it's wrong here

    BigQuery is analytics-only, not transactional.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse BigQuery's columnar storage with PostgreSQL compatibility, or assume Cloud SQL's PostgreSQL support is sufficient for HTAP workloads, overlooking the need for a dedicated columnar engine.

Detailed technical explanation

How to think about this question

AlloyDB's columnar engine uses a vectorized query execution model that processes data in batches, leveraging SIMD instructions for faster analytical scans. It automatically materializes columns from the transactional row store into a columnar cache, allowing queries to bypass row-based storage for aggregation and filtering. In a real-world scenario, a retail application running both order transactions and real-time sales dashboards would benefit from AlloyDB's ability to serve both workloads without replicating data to a separate analytics system.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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: AlloyDB — AlloyDB is the correct choice because it is a fully managed PostgreSQL-compatible database service on Google Cloud that combines a columnar engine for fast analytical queries with high transactional performance. It uses a columnar query accelerator to offload analytical workloads from the transactional engine, enabling low-latency hybrid transactional/analytical processing (HTAP) without data movement.

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.