- A
Cloud SQL (PostgreSQL)
Why wrong: Cloud SQL PostgreSQL is suitable for many workloads but has scale and performance limits. For 50 TB with high-performance requirements, AlloyDB is specifically designed to exceed Cloud SQL's capabilities.
- B
AlloyDB for PostgreSQL
AlloyDB provides full PostgreSQL compatibility with enterprise-grade performance (4× faster OLTP, 100× faster analytics), 99.99% HA, and horizontal read scaling — without changing application code.
- C
Cloud Spanner
Why wrong: Cloud Spanner provides global horizontal scaling but is not PostgreSQL-compatible. Applications would require rewriting to use Spanner's API.
- D
Bare metal PostgreSQL on Compute Engine
Why wrong: Self-managed PostgreSQL on VMs requires managing patching, backups, HA configuration, and monitoring — the opposite of a fully managed solution.
AlloyDB for PostgreSQL: Fully Managed, Scalable PostgreSQL-Compatible Database
This GCDL practice question tests your understanding of google cloud products, services, and 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's PostgreSQL database has grown to 50 TB and their application requires near-zero downtime, automatic failover, and the ability to scale reads horizontally without the migration complexity of switching to Spanner. Which Google Cloud database product is specifically designed as a fully managed, highly scalable PostgreSQL-compatible database?
Quick Answer
The answer is AlloyDB for PostgreSQL. This Google Cloud database product is specifically designed as a fully managed, PostgreSQL-compatible database that meets the needs of a 50 TB workload requiring near-zero downtime, automatic failover, and horizontal read scaling—all without the migration complexity of switching to Spanner. AlloyDB separates compute and storage, allowing you to add read pools for horizontal scaling while its built-in columnar engine accelerates analytical queries. On the Google Cloud Digital Leader exam, this question tests your ability to distinguish between AlloyDB and Cloud SQL for PostgreSQL, where the key differentiator is AlloyDB’s enterprise-grade scalability and resilience for large, demanding workloads. A common trap is choosing Cloud SQL because it is also PostgreSQL-compatible, but Cloud SQL lacks AlloyDB’s advanced read-pool scaling and near-zero downtime failover for databases exceeding a few terabytes. Memory tip: think “AlloyDB = All-in-one for large, high-availability PostgreSQL.”
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 for PostgreSQL
AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service designed for high scalability, near-zero downtime, and automatic failover. It separates compute and storage to enable horizontal read scaling with read pools, and it uses a columnar engine for analytical acceleration, making it ideal for large workloads like 50 TB without the migration complexity of Spanner.
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 SQL (PostgreSQL)
Why it's wrong here
Cloud SQL PostgreSQL is suitable for many workloads but has scale and performance limits. For 50 TB with high-performance requirements, AlloyDB is specifically designed to exceed Cloud SQL's capabilities.
- ✓
AlloyDB for PostgreSQL
Why this is correct
AlloyDB provides full PostgreSQL compatibility with enterprise-grade performance (4× faster OLTP, 100× faster analytics), 99.99% HA, and horizontal read scaling — without changing application code.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Spanner
Why it's wrong here
Cloud Spanner provides global horizontal scaling but is not PostgreSQL-compatible. Applications would require rewriting to use Spanner's API.
- ✗
Bare metal PostgreSQL on Compute Engine
Why it's wrong here
Self-managed PostgreSQL on VMs requires managing patching, backups, HA configuration, and monitoring — the opposite of a fully managed solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Cloud SQL's PostgreSQL offering with AlloyDB's PostgreSQL compatibility, overlooking Cloud SQL's storage and scaling limitations for large, high-availability workloads.
Detailed technical explanation
How to think about this question
AlloyDB uses a shared storage architecture with a distributed log system that enables fast failover and read replicas to scale reads horizontally without data duplication. Its columnar engine accelerates analytical queries by storing data in a column-oriented format within the same storage layer, allowing mixed OLTP/OLAP workloads without ETL. In a real-world scenario, a 50 TB e-commerce platform can use AlloyDB to handle high write throughput during flash sales while offloading reporting queries to read pools without impacting primary performance.
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
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FAQ
Questions learners often ask
What does this GCDL question test?
Google Cloud products, services, and solutions — This question tests Google Cloud products, services, and solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AlloyDB for PostgreSQL — AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service designed for high scalability, near-zero downtime, and automatic failover. It separates compute and storage to enable horizontal read scaling with read pools, and it uses a columnar engine for analytical acceleration, making it ideal for large workloads like 50 TB without the migration complexity of Spanner.
What should I do if I get this GCDL 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: Jun 11, 2026
This GCDL 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 GCDL exam.
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