Google Professional Cloud Database Engineer Pcdb Practice Test - Set 1

Test your knowledge with this Google Professional Cloud Database Engineer Pcdb mock exam. Get real-world IT questions and prepare for certification success.

Google Professional Cloud Database Engineer (PCDB) - Exam Information

Exam Information

Exam Code

Google Professional Cloud Database Engineer Pcdb

Exam Title

Google Professional Cloud Database Engineer (PCDB)

Vendor

Google

Difficulty

Advanced

Duration

120 Minutes

Question Format

Multiple Choice

Last Updated

March 12, 2025

Tests knowledge of designing, optimizing, and operating databases in Google Cloud.

Practice Test

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1. Which Google Cloud database service is a fully managed NoSQL document database?

Firestore
Cloud SQL
Bigtable
Spanner

2. What is the primary use case for Google Cloud Bigtable?

Large-scale, low-latency applications
Relational database workloads
Document storage
Time-series data

3. Which Google Cloud database service provides global consistency and horizontal scalability?

Cloud Spanner
Cloud SQL
Firestore
Bigtable

4. What is the purpose of Google Cloud's Memorystore?

To provide managed Redis and Memcached services
To store relational data
To manage NoSQL databases
To handle time-series data

5. Which Google Cloud database service is optimized for time-series data?

Bigtable
Cloud SQL
Firestore
Spanner

6. What is the role of Google Cloud's Firestore?

To store and sync NoSQL documents
To manage relational databases
To handle time-series data
To provide in-memory caching

7. Which Google Cloud database service supports SQL queries?

Cloud SQL
Bigtable
Firestore
Memorystore

8. What is the purpose of Google Cloud's Cloud Spanner?

To provide a globally distributed relational database
To manage NoSQL documents
To handle time-series data
To provide in-memory caching

9. Which Google Cloud database service is best for OLTP workloads?

Cloud SQL
Bigtable
Firestore
Spanner

10. What is the role of Google Cloud's Bigtable?

To handle large-scale, low-latency workloads
To manage relational databases
To store NoSQL documents
To provide in-memory caching

11. Which Google Cloud database service provides automatic sharding?

Cloud Spanner
Cloud SQL
Firestore
Bigtable

12. What is the purpose of Google Cloud's Firestore indexing?

To enable fast querying of NoSQL documents
To manage relational data
To handle time-series data
To provide in-memory caching

13. Which Google Cloud database service is best for OLAP workloads?

BigQuery
Cloud SQL
Firestore
Spanner

14. What is the role of Google Cloud's Cloud SQL?

To provide managed relational databases
To handle NoSQL documents
To manage time-series data
To provide in-memory caching

15. Which Google Cloud database service is best for real-time analytics?

Bigtable
Cloud SQL
Firestore
Spanner

16. What is the purpose of Google Cloud's Spanner replication?

To ensure high availability and global consistency
To manage NoSQL documents
To handle time-series data
To provide in-memory caching

17. Which Google Cloud database service is best for mobile and web applications?

Firestore
Cloud SQL
Bigtable
Spanner

18. What is the role of Google Cloud's BigQuery?

To provide a fully managed data warehouse
To manage relational databases
To handle NoSQL documents
To provide in-memory caching

19. Which Google Cloud database service is best for financial transactions?

Cloud Spanner
Cloud SQL
Firestore
Bigtable

20. What is the purpose of Google Cloud's Memorystore for Redis?

To provide in-memory caching
To manage relational databases
To handle NoSQL documents
To store time-series data

21. Which database service is optimized for analytical workloads?

BigQuery
Cloud SQL
Firestore
Spanner

22. What is the primary advantage of Cloud Spanner over traditional RDBMS?

Global scalability and consistency
Lower cost
Faster single-node performance
Simpler schema design

23. Which service provides a fully managed Redis instance?

Memorystore for Redis
Cloud SQL
Bigtable
Firestore

24. What is the default replication model for Cloud SQL?

Regional (multi-zone)
Global
Single-zone
None

25. Which database is best for IoT time-series data?

Bigtable
Cloud SQL
Firestore
Spanner

26. What is the primary use case for Firestore?

Mobile/web app document storage
Financial transactions
Data warehousing
High-frequency trading

27. Which feature ensures high availability in Cloud Spanner?

Multi-region replication
Vertical scaling
On-demand backups
SQL compatibility

28. What is the purpose of Bigtable’s row keys?

To enable fast lookups and sorting
To enforce relational integrity
To manage backups
To encrypt data

29. Which database service supports ACID transactions globally?

Cloud Spanner
Bigtable
Firestore
Memorystore

30. What is the primary benefit of Memorystore?

Sub-millisecond latency for cached data
Unlimited storage
SQL query support
Global replication

31. Which database is schema-less?

Firestore
Cloud SQL
Spanner
BigQuery

32. What is the role of BigQuery’s partitioning?

To improve query performance on large datasets
To encrypt data
To manage backups
To enforce ACID compliance

33. Which service is best for storing session data?

Memorystore for Redis
Cloud SQL
Bigtable
Spanner

34. What is the primary use case for Cloud SQL?

Traditional relational workloads
Petabyte-scale analytics
Real-time ad serving
Document storage

35. Which database supports SQL and JSON data?

Cloud Spanner
Bigtable
Memorystore
Firestore

36. What is the purpose of Firestore’s offline mode?

To sync data when devices reconnect
To improve query performance
To reduce costs
To encrypt data

37. Which service is serverless for databases?

Firestore
Cloud SQL
Bigtable
Spanner

38. What is the primary advantage of Bigtable over BigQuery?

Low-latency reads/writes
SQL support
Cost efficiency
Global replication

39. Which database is optimized for >1TB analytical workloads?

BigQuery
Cloud SQL
Firestore
Memorystore

40. What is the role of Spanner’s TrueTime API?

To ensure global consistency
To improve query performance
To reduce costs
To manage backups

41. Which database is best for user profiles in a mobile app?

Firestore
Bigtable
Spanner
Cloud SQL

42. What is the primary use case for Memorystore?

Caching frequently accessed data
Storing user documents
Running analytics
Managing relational data

43. Which service supports federated queries across datasets?

BigQuery
Cloud SQL
Spanner
Bigtable

44. What is the purpose of Cloud SQL’s failover replicas?

To ensure high availability
To reduce costs
To improve query performance
To encrypt data

45. Which database is best for financial transactions requiring ACID?

Cloud Spanner
Bigtable
Firestore
Memorystore

46. What is the primary benefit of Firestore’s automatic scaling?

No manual sharding required
Lower latency
SQL compatibility
Stronger consistency

47. Which service is best for ad-tech real-time bidding?

Bigtable
Cloud SQL
Firestore
BigQuery

48. What is the role of BigQuery’s streaming inserts?

To ingest real-time data
To backup databases
To encrypt data
To manage schemas

49. Which database supports both relational and document models?

Firestore
Cloud SQL
Bigtable
Spanner

50. What is the primary advantage of Spanner’s horizontal scaling?

Linear performance at scale
Lower cost
Simpler management
Faster backups

The Google Professional Cloud Database Engineer Pcdb certification is a globally recognized credential for IT professionals. This practice test helps you prepare by covering key topics like hardware, networking, troubleshooting, and security.

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