20+ practice questions focused on Design and Plan Database Solutions — one of the most tested topics on the Google Professional Cloud DevOps Engineer exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Design and Plan Database Solutions PracticeA company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?
Explanation: Cloud Bigtable is designed for exactly this use case — petabyte-scale, low-latency (single-digit ms), high-throughput NoSQL storage for time-series, IoT, and financial data. It scales horizontally by adding nodes. BigQuery is optimised for analytics (seconds-to-minutes latency), Cloud SQL is for OLTP (limited to tens of thousands of QPS), and Firestore is for document data with hierarchical structure.
You are designing a schema for Cloud Spanner and need to avoid write hotspots. Which primary key design strategy is recommended?
Explanation: Using a UUID or a hash prefix as the first part of the primary key ensures that writes are distributed across nodes, avoiding hotspots. Monotonically increasing keys like timestamps cause all writes to hit the same tablet, creating a hotspot.
A company is migrating an on-premise PostgreSQL database to Cloud SQL. The current database has a connection pool with 200 connections and uses 64 GB RAM. According to Cloud SQL best practices, what is the maximum recommended max_connections setting?
Explanation: The formula for max_connections on Cloud SQL is RAM_MB / 16. 64 GB = 65536 MB. 65536 / 16 = 4096. However, the question asks for the maximum recommended setting based on RAM. Note: This formula is for Cloud SQL; the actual max_connections default may vary, but the formula is a best practice guide.
You need to design a Cloud Bigtable row key for a time-series application that records user activity. The most common queries filter by user_id and then by timestamp (most recent first). Which row key design is MOST appropriate?
Explanation: For time-series with frequent queries filtering by user_id and recent data, the recommended design is to put user_id first and then use a reverse timestamp. This ensures data for a user is co-located and the latest data appears first when scanning.
A company is running a financial application on Cloud Spanner and needs to ensure strong transactional consistency across regions. The application requires both high write throughput (2000 mutations/second) and read throughput (2000 reads/second). According to Spanner capacity planning, how many processing units (PUs) are needed for the combined workload?
Explanation: Spanner capacity: write throughput 2000 mutations/second per PU, read throughput 2000 reads/second per PU. For 2000 writes/s and 2000 reads/s, you need 1 PU for writes and 1 PU for reads, but the reads and writes share the same PU. Actually, the formula is: PUs needed = max(write_throughput/2000, read_throughput/2000). For 2000 each, that's max(1,1)=1 PU. However, the question states 'high write throughput (2000 mutations/second) and read throughput (2000 reads/second)'. So 1 PU is sufficient. But note: in practice, you might need more for other factors. The question tests the calculation. The answer is 1 PU.
+15 more Design and Plan Database Solutions questions available
Practice all Design and Plan Database Solutions questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Design and Plan 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 and Plan Database Solutions questions on the PCDOE 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 and Plan Database Solutions is tested as part of the Google Professional Cloud DevOps Engineer blueprint. Practicing with targeted Design and Plan Database Solutions questions ensures you can handle any format or difficulty that appears.
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