Cloud Digital Leader Google Cloud Products and Services Practice Question
A company is migrating a PostgreSQL database to Google Cloud. They want high performance, AI-optimized capabilities, and compatibility with existing PostgreSQL tools. Which service 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 optimized for high performance and AI workloads, with built-in ML integration. Cloud SQL for PostgreSQL provides compatibility but lacks AI optimization. Spanner is a different architecture. Bigtable is NoSQL.
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 globally distributed relational but not designed as a PostgreSQL drop-in with AI optimization.
- ✓
AlloyDB
Why this is correct
AlloyDB is PostgreSQL-compatible with 4x faster transactions and built-in AI capabilities.
- ✗
Cloud SQL for PostgreSQL
Why it's wrong here
Provides standard PostgreSQL but lacks AI-optimized features.
- ✗
Cloud Bigtable
Why it's wrong here
Bigtable is NoSQL, not relational or PostgreSQL-compatible.
Go deeper
Related to this question
Learn chapter
Cloud Digital Transformation
Key term
SQL
SQL is a standardized programming language used to manage and manipulate relational databases, enabling querying, updating, and data retrieval.
Key term
Bigtable
Bigtable is Google's fully managed, scalable NoSQL database service designed for large analytical and operational workloads, handling petabytes of data with low latency.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.