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Scenario-based practice

Drag and Drop Matching Questions

Practise Google Professional Cloud Database Engineer practice questions — original exam-style scenarios covering every exam domain, with detailed explanations, wrong-answer analysis, and common exam traps.

10
scenario questions
PCDE
exam code
Google Cloud
vendor

Scenario guide

How to approach drag and drop matching questions

Matching questions give you two columns — concepts, commands, or protocols on the left, and their definitions or use-cases on the right. You drag each left item to its correct match. These appear on most certification exams and punish superficial memorisation.

Quick answer

Drag and Drop Matching Questions questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Related practice questions

Related PCDE topic practice pages

Scenario questions usually connect to one or more exam topics. Use these links to review the underlying concepts behind the scenario.

Practice set

Practice scenarios

Question 1mediummatching
Full question →

Match each Cloud SQL tier to its description.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Burstable, low-cost for small workloads

Shared-core, moderate performance

Standard machine with 1 vCPU and 3.75 GB RAM

High memory machine with 2 vCPUs and 13 GB RAM

High CPU machine with 4 vCPUs and 3.6 GB RAM

Question 2mediummatching
Full question →

Match each Cloud Spanner replication type to its purpose.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Participates in writes and reads

Serves reads but not writes

Participates in voting but not data storage

Replication within a single region for low latency

Global replication for higher availability

Question 3mediummatching
Full question →

Match each Google Cloud tool to its purpose in database management.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Web-based UI for managing resources

Command-line tool for managing Google Cloud services

Browser-based terminal with pre-installed tools

Infrastructure as code for provisioning databases

Observability and alerting for database performance

Question 4mediummatching
Full question →

Match each Cloud SQL backup type to its retention policy.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Configurable retention up to 365 days

Retained until manually deleted

Retained for point-in-time recovery window

Stored in a different region for disaster recovery

Defined start time and window for automated backups

Question 5mediummatching
Full question →

Match each Cloud SQL high-availability feature to its description.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Synchronous replication across two zones

Standby instance in a different zone for automatic failover

Asynchronous replica for read offloading

Promotion of standby on primary failure

Point-in-time recovery and disaster recovery

Question 6mediummatching
Full question →

Match each database migration term to its description.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Fully managed service for migrating to Cloud SQL

Same database engine source and target

Different database engine source and target

Ongoing replication with minimal downtime

Full dump and restore with planned downtime

Question 7mediummatching
Full question →

Match each Google Cloud database service to its primary use case.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Relational databases (MySQL, PostgreSQL, SQL Server)

Globally distributed, strongly consistent relational database

Serverless NoSQL document database for mobile/web apps

High-throughput, low-latency NoSQL for large analytical workloads

In-memory data store for Redis or Memcached

Question 8mediummatching
Full question →

Match each BigQuery DDL statement to its function.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Creates a new table

Modifies table schema or options

Deletes a table

Creates a logical view

Creates a precomputed view for faster queries

Question 9mediummatching
Full question →

Match each Cloud Spanner concept to its definition.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Automatic data distribution across nodes

Global clock service for external consistency

Parent-child table with co-located rows

Read with guaranteed latest data

Read with bounded staleness for lower latency

Question 10mediummatching
Full question →

Match each BigQuery feature to its purpose.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Column-based ordering to improve query performance

Dividing tables into segments for cost and performance

Guaranteed query capacity

In-memory analysis for sub-second query response

Automated data ingestion from various sources

These PCDE practice questions are part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style PCDE questions with detailed explanations, topic-based practice, mock exams, readiness tracking, and study analytics.