20+ practice questions focused on Design Scalable and Highly Available Cloud Database Solutions — one of the most tested topics on the Google Professional Cloud Developer exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Design Scalable and Highly Available Cloud Database Solutions PracticeA company is migrating an on-premises MySQL 8.0 OLTP application to Google Cloud. The application requires high availability with automatic failover and zero RPO. Which Google Cloud database and configuration should they use?
Explanation: Cloud SQL for MySQL with HA configuration provides synchronous replication to a standby instance in the same region, automatic failover, and zero RPO.
An e-commerce company is designing a global product inventory system that requires strong consistency across regions, horizontal scaling for millions of users, and 99.999% availability. Which Google Cloud database meets all these requirements?
Explanation: Cloud Spanner is the only Google Cloud database that provides globally distributed ACID transactions with strong consistency, horizontal scaling, and 99.999% SLA.
A company is designing a Bigtable schema for time-series data from millions of devices. Each device sends a reading every minute. The row key is currently 'device_id#timestamp'. The engineering team notices hot spots on a few popular devices. Which row key design change would BEST distribute writes across the cluster?
Explanation: Salted keys (prepending a hash prefix) distribute writes across tablet servers. Reversing the timestamp or field promotion alone may not solve hotspots from popular device IDs.
A mobile app developer wants a serverless NoSQL database that automatically syncs data offline and provides security rules for access control. Which Google Cloud database should they choose?
Explanation: Firestore is the correct choice: it is serverless, document-based, provides offline sync for mobile apps, and has Security Rules for access control.
A financial services company requires a relational database that can handle hybrid transactional/analytical processing (HTAP) workloads with sub-millisecond transactional latency and real-time analytics without ETL. Which Google Cloud database is BEST suited?
Explanation: AlloyDB is PostgreSQL-compatible and includes a columnar engine for in-database ML inference and HTAP workloads. It is optimized for OLTP and real-time analytics without ETL.
+15 more Design Scalable and Highly Available Cloud Database Solutions questions available
Practice all Design Scalable and Highly Available Cloud Database Solutions questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Design Scalable and Highly Available Cloud Database Solutions. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Design Scalable and Highly Available Cloud Database Solutions questions on the PCD frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Design Scalable and Highly Available Cloud Database Solutions is tested as part of the Google Professional Cloud Developer blueprint. Practicing with targeted Design Scalable and Highly Available Cloud Database Solutions questions ensures you can handle any format or difficulty that appears.
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