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Cloud Digital Leader Google Cloud Products and Services Practice Question

An organisation is migrating its on-premises Oracle database to Google Cloud. They need a fully managed, PostgreSQL-compatible database with high performance for transaction processing and built-in AI capabilities for predictive analytics. Which database 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 fully managed PostgreSQL-compatible database that offers high performance (4x faster than standard PostgreSQL) and integrated AI capabilities for vector search and predictive analytics. Cloud SQL for PostgreSQL is also managed but lacks the AI optimisations. Cloud Spanner is globally distributed but not PostgreSQL-compatible. Bare Metal Solution runs Oracle on dedicated hardware, not managed.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Bare Metal Solution for Oracle

    Why it's wrong here

    Bare Metal Solution provides dedicated physical servers for Oracle workloads, preserving existing Oracle licenses and offering high raw compute. However, it is not a managed database service, does not offer PostgreSQL compatibility, and lacks built-in AI capabilities such as vector search or predictive autoscaling. Therefore, it doesn't meet the migration goal of a managed PostgreSQL-compatible database with AI.

  • ✗

    Cloud SQL for PostgreSQL

    Why it's wrong here

    Cloud SQL for PostgreSQL is a fully managed database with automatic backups, replication, and high availability, but it is a traditional managed PostgreSQL offering. It does not include AlloyDB's AI-centric features like in-database vector similarity search and a columnar engine for analytical acceleration. For a workload that needs AI integration and optimized performance for mixed transactional/analytical queries, Cloud SQL is insufficient.

  • ✗

    Cloud Spanner

    Why it's wrong here

    Cloud Spanner is a horizontally scalable, globally distributed relational database with strong external consistency, but it uses GoogleSQL and its own query interface, not standard PostgreSQL syntax. Its strength is global transaction processing at scale, not AI-optimized features like vector embeddings or predictive autoscaling. Consequently, it is wrong for an Oracle migration seeking PostgreSQL compatibility and AI capabilities.

  • ✓

    AlloyDB

    Why this is correct

    AlloyDB is a fully managed, PostgreSQL-compatible database service architected for high performance, delivering up to 4x faster transactional throughput and up to 100x faster analytical queries compared to standard PostgreSQL. It includes AlloyDB AI with vector similarity search, predictive autoscaling, and columnar engine, making it ideal for migrating Oracle workloads while adding artificial intelligence features. This aligns exactly with the requirement for a managed, compatible database with built-in AI.

Visual reference

Source Router + ACL permit 10.0.0.0/8 deny any Server 10.0.0.5 ✓ 192.168.1.1 ✗ dropped ACLs evaluate top-down; first match wins — implicit deny all at end

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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.