Question 439 of 999

PCD Practice Question: Design Scalable and Highly Available Cloud Database Solutions

This PCD practice question tests your understanding of design scalable and highly available cloud 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 company needs to run a PostgreSQL-compatible database with 4x faster OLTP performance than standard PostgreSQL, and also wants to run analytical queries on the same data without extracting to a separate system. Which Google Cloud database should they choose?

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 a PostgreSQL-compatible database that delivers up to 4x faster OLTP performance than standard PostgreSQL through a combination of a columnar engine, adaptive indexing, and a disaggregated storage architecture. It also supports running analytical queries on the same data without extraction, using its built-in columnar engine for fast analytics on transactional data.

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.

  • Cloud Spanner

    Why it's wrong here

    Spanner is not PostgreSQL-compatible and does not offer 4x speedup.

  • Cloud SQL for PostgreSQL

    Why it's wrong here

    Does not offer 4x OLTP speedup or built-in columnar analytics.

  • AlloyDB

    Why this is correct

    AlloyDB provides 4x faster OLTP, PostgreSQL compatibility, and in-database analytics.

    Related concept

    Read the scenario before looking for a memorised answer.

  • BigQuery

    Why it's wrong here

    BigQuery is a separate analytics system, not an OLTP database.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse Cloud SQL for PostgreSQL as the obvious choice for PostgreSQL compatibility, overlooking the specific performance requirement of 4x faster OLTP and the need for built-in analytical capabilities, which only AlloyDB satisfies.

Detailed technical explanation

How to think about this question

AlloyDB achieves its performance gains through a disaggregated storage layer that uses a log-structured merge-tree (LSM) approach with a columnar engine for analytics, allowing it to serve both OLTP and OLAP workloads on the same data without ETL. Under the hood, AlloyDB's adaptive indexing automatically creates and maintains indexes based on query patterns, reducing manual tuning. In a real-world scenario, an e-commerce platform could use AlloyDB to handle high-velocity order transactions while simultaneously running real-time sales analytics on the same dataset, avoiding the latency and complexity of data replication.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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 PCD question test?

Design Scalable and Highly Available Cloud Database Solutions — This question tests Design Scalable and Highly Available Cloud Database Solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: AlloyDB — AlloyDB is a PostgreSQL-compatible database that delivers up to 4x faster OLTP performance than standard PostgreSQL through a combination of a columnar engine, adaptive indexing, and a disaggregated storage architecture. It also supports running analytical queries on the same data without extraction, using its built-in columnar engine for fast analytics on transactional data.

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