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PCDBE Designing Databases Question Bank (13 Questions)

Browse all 13 practice questions covering Designing and Planning Cloud Database Solutions for the PCDBE certification exam. Answers are intentionally hidden on this page so you can self-test first before checking results in quiz mode.

Question 1Designing and Planning Cloud Database Solutions
How do you choose between Cloud SQL, AlloyDB, Spanner, and Firestore?
AAlways use one
BCloud SQL: standard relational. AlloyDB: high-performance PostgreSQL. Spanner: global-scale relational. Firestore: serverless document NoSQL. Choose based on scale, consistency, and data model needs.
CAll the same
DOnly use Spanner
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Question 2Managing and Administering Cloud Databases
How should you design a Cloud Spanner schema to avoid hotspots?
AUse auto-incrementing integer primary keys
BUse UUIDs, hash-based keys, or bit-reversed sequences as primary keys — avoid monotonically increasing keys that cause all writes to concentrate on one node
CUse timestamps as primary keys
DUse the same key for all rows
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Question 3Designing and Planning Cloud Database Solutions
A company needs a PostgreSQL-compatible database with high availability and strong consistency. When should you recommend Cloud Spanner over AlloyDB?
AAlways use AlloyDB for PostgreSQL
BCloud Spanner when the workload requires global distribution, horizontal write scaling, or 99.999% SLA — AlloyDB when the workload is regional and benefits from full PostgreSQL compatibility
CThey are identical
DUse Cloud SQL instead
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Question 4Designing and Planning Cloud Database Solutions
How do you design a Cloud Bigtable schema for an IoT time-series application?
AUse device ID as row key
BRow key: deviceId#reverseTimestamp (allows latest-first scans per device), column families for sensor types, avoid tall and narrow tables — design for read patterns
CStore each reading as a separate table
DUse auto-generated row keys
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Question 5Designing and Planning Cloud Database Solutions
What factors determine the choice between Cloud SQL, Spanner, and AlloyDB?
ACost only
BScale requirements (regional vs. global), consistency needs, PostgreSQL compatibility, and performance requirements
CVendor preference
DTeam size
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Question 6Designing and Planning Cloud Database Solutions
When should you choose AlloyDB over standard Cloud SQL for PostgreSQL?
AAlways use Cloud SQL
BAlloyDB for high-performance HTAP workloads — 4x transaction throughput, 100x faster analytics via columnar engine, and Vertex AI integration for ML predictions in SQL
CAlloyDB replaces Cloud Spanner
DAlloyDB is for MySQL only
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Question 7Managing and Administering Cloud Databases
How do you perform a zero-downtime schema change in Cloud Spanner?
ADrop and recreate the table
BUse DDL statements (ALTER TABLE) — Spanner applies schema changes online without blocking reads or writes, though large changes may take time to propagate across splits
CSchedule maintenance downtime
DCreate a new database and migrate
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Question 8Monitoring and Troubleshooting
What monitoring capabilities does AlloyDB provide beyond standard Cloud SQL?
ASame as Cloud SQL
BAlloyDB provides: Query Insights with AI-powered recommendations, columnar engine statistics, automated index recommendations, and instance-level disaggregated compute/storage metrics
CNo monitoring available
DOnly third-party monitoring
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Question 9Migrating Data Solutions
How do you migrate from Cloud SQL for PostgreSQL to AlloyDB?
AThey're incompatible
BDMS continuous migration (Cloud SQL → AlloyDB), or pg_dump/pg_restore for smaller databases — AlloyDB is PostgreSQL-compatible so schema and data transfer directly
CRecreate the application
DExport to CSV and reimport
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Question 10Designing and Planning Cloud Database Solutions
When should you choose Firestore over Cloud SQL?
AFor complex SQL joins across many tables
BFor flexible schema, document-oriented data with real-time sync to mobile/web clients
CFor OLAP analytics
DFor batch data processing
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Question 11Designing and Planning Cloud Database Solutions
How do you choose between Firestore and Bigtable?
AThey're interchangeable
BFirestore: document database for application data with real-time sync and offline support. Bigtable: wide-column for high-throughput analytics, IoT, and time-series data.
CFirestore is for analytics
DBigtable is for mobile apps
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Question 12Designing Scalable and Highly Available Database Solutions
What is AlloyDB and how does it compare to Cloud SQL?
ASame product
BAlloyDB: PostgreSQL-compatible, Google-designed storage layer with 4x throughput and up to 100x faster analytical queries than standard PostgreSQL. Cloud SQL: standard managed PostgreSQL/MySQL/SQL Server.
CCloud SQL is faster
DAlloyDB supports MySQL
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Question 13Designing Scalable and Highly Available Database Solutions
What is Firestore and when to choose it over Bigtable?
ASame purpose
BFirestore: document database (hierarchical JSON-like documents), serverless, strong consistency, real-time listeners. Choose over Bigtable for: mobile/web apps, hierarchical data, and complex queries on smaller datasets (< TB scale).
CAlways use Bigtable
DAlways use Firestore
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Key Designing Databases Concepts for PCDBE

cloud sqlspannerfirestorebigtablealloydbdatabase designschema

PCDBE Designing Databases Exam Tips

Designing and Planning Cloud Database Solutions questions in PCDBE are typically scenario-based. Focus on service-level decision making aligned to official exam objectives. Priority concepts: cloud sql, spanner, firestore, bigtable, alloydb, database design.

What PCDBE Expects

Anchor your answer in select the most practical, secure, and scalable answer for the stated scenario.
Designing Databases scenarios for PCDBE are frequently mapped to Domain 1 (~26%), so read the objective carefully before picking controls or architecture.
Expect multi-topic scenarios where Designing Databases interacts with IAM, networking, data, or operations patterns rather than appearing as an isolated question.
When two options are both technically valid, prefer the choice that best aligns with the exam's operational scope (Professional) and vendor best practices.

High-Value Designing Databases Concepts

Know the core Designing Databases building blocks cold: cloud sql, spanner, firestore, bigtable.
Review the edge-case features and limits for alloydb, database design; these details are commonly used to differentiate answer choices.
Practice service-integration reasoning: how Designing Databases pairs with Managing Databases, Migration in real deployment patterns.
For PCDBE, explain why the chosen Designing Databases design meets reliability, security, and cost expectations better than the alternatives.

Common PCDBE Traps

Watch for answers that partially solve the requirement but miss operational constraints.
Questions in Designing and Planning often include distractors that look correct for Designing Databases but violate least-privilege, reliability, or scalability requirements.
Avoid picking options purely by feature name; validate data path, failure handling, and governance impact before answering.
If the prompt hints at automation or repeatability, eliminate manual-only operational answers first.

Fast Review Checklist

Can you compare at least two Designing Databases implementation paths and justify which one best fits the scenario?
Can you map the chosen answer back to Designing and Planning (~26%) outcomes for PCDBE?
Can you explain security and access boundaries for Designing Databases without relying on default-open assumptions?
Can you describe how Designing Databases integrates with Managing Databases and Migration during failure, scaling, and monitoring events?

Exam Domains Covering Designing Databases

Domain 1Designing and Planning~26%

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📐 Designing and Planning Cloud Database Solutions - PCDBE Practice Questions