Question 1

How many GCP-PCDE practice questions are there?

Accepted Answer

465 questions across 2 versions, each with the correct answer and an explanation.

Question 2

Are there free GCP-PCDE sample questions?

Accepted Answer

Yes. 17 sample questions are free; 8 are open to everyone and the rest unlock with a free account.

Question 3

What does full access include?

Accepted Answer

Every GCP-PCDE question in study, timed and flashcard modes, explanations for each answer, and progress that saves so you can resume.

Question 4

What topics does GCP-PCDE cover?

Accepted Answer

Design Innovative, Scalable, and Highly Available Cloud Database Solutions (32%), Manage a Solution That Can Span Multiple Database Technologies (25%), Migrate Data Solutions (23%), Deploy Scalable and Highly Available Databases in Google Cloud (20%).

Question 5

What is the Google Cloud Professional Cloud Database Engineer certification?

Accepted Answer

The Google Cloud Professional Cloud Database Engineer certification validates expertise in designing, creating, managing, and troubleshooting Google Cloud databases used by applications to store and retrieve data. It assesses ability to translate business and technical requirements into scalable, cost-effective database solutions using services like Cloud SQL, AlloyDB, Cloud Spanner, Cloud Bigtable, and Firestore.

Question 6

How many questions are on the GCP Professional Cloud Database Engineer exam?

Accepted Answer

The Professional Cloud Database Engineer exam contains 50 to 60 questions in a mix of multiple-choice, multiple-select, and case study-based formats. Candidates have 120 minutes (2 hours) to complete the exam, with a passing score of 75%.

Question 7

What is the cost of the Google Cloud Professional Cloud Database Engineer exam?

Accepted Answer

The exam costs $200 USD plus applicable taxes based on your region. It can be taken either as an online-proctored exam from a remote location or at an onsite Kryterion testing center. Registration is through the Google Cloud certification portal at CertMetrics.

Question 8

What are the prerequisites for the Professional Cloud Database Engineer certification?

Accepted Answer

There are no formal prerequisites required to register for the exam. However, Google recommends at least 5 years of overall database and IT experience, including 2 years of hands-on experience working with Google Cloud database solutions such as Cloud SQL, AlloyDB, Cloud Spanner, and Cloud Bigtable.

Question 9

What topics does the Professional Cloud Database Engineer exam cover?

Accepted Answer

The exam covers four domains: Design innovative, scalable, and highly available cloud database solutions (32%), Manage solutions spanning multiple database technologies (25%), Migrate data solutions (23%), and Deploy scalable and highly available databases in Google Cloud (20%). Key services tested include the 'Big 4' (Cloud SQL, AlloyDB, Cloud Spanner, Cloud Bigtable) plus Firestore, Memorystore, and BigQuery integration.

Question 10

How long is the Google Cloud Professional Cloud Database Engineer certification valid?

Accepted Answer

The Professional Cloud Database Engineer certification is valid for 2 years. To maintain your certified status, you must retake and pass the current version of the exam before expiration. The renewal eligibility window opens 60 days before your certification expires.

Question 11

What Google Cloud database services should I study for this exam?

Accepted Answer

Focus on mastering the 'Big 4' core services: Cloud SQL (standard relational with Enterprise Plus tier), AlloyDB (high-performance PostgreSQL with ScaNN vector search), Cloud Spanner (globally distributed relational with TrueTime), and Cloud Bigtable (high-throughput NoSQL). Also study Firestore (serverless document NoSQL), Memorystore (Redis/Memcached caching), BigQuery (analytics federation), and Database Migration Service (DMS).

Question 12

Does the Professional Cloud Database Engineer exam include AI and generative AI topics?

Accepted Answer

Yes, the exam has embraced the intersection of data and generative AI. You should understand vector embeddings, pgvector and ScaNN indexes in AlloyDB, native vector search in Spanner, RAG (Retrieval-Augmented Generation) workflows, ML.PREDICT and google_ml.predict_row for in-database model calling, Natural Language to SQL (NL2SQL) in AlloyDB AI, and Gemini integration for query optimization and schema conversion.

Question 13

What is the difference between the Professional Cloud Database Engineer and the Professional Data Engineer?

Accepted Answer

The Professional Cloud Database Engineer focuses on operational database management, including designing, creating, managing, and troubleshooting databases (Cloud SQL, AlloyDB, Spanner, Bigtable). The Professional Data Engineer focuses on data processing, pipelines, analytics, and machine learning using services like BigQuery, Dataflow, Pub/Sub, and Dataproc. The Database Engineer is more DBA-focused while the Data Engineer is more analytics and pipeline-focused.

Question 14

How should I prepare for the Google Cloud Professional Cloud Database Engineer exam?

Accepted Answer

Preparation should combine hands-on experience with structured study. Follow the Cloud Database Engineer learning path on Google Skills Boost, review the official exam guide PDF, take the sample questions from Google, complete the Coursera Google Cloud Database Engineer specialization, and gain practical experience with Cloud SQL, AlloyDB, Spanner, and Bigtable using the Google Cloud Free Tier. Focus especially on the Big 4 database services, migration strategies with DMS, HA/DR…

GCP-PCDEGoogle Cloud Professional Cloud Database Engineer practice test

Full access

Practice GCP-PCDE in the simulator.

GCP-PCDE, by the numbers.

Everything about GCP-PCDE.

Exam information

What GCP-PCDE covers

How do I earn this certification?

How to study for this exam?

What's changed on this exam?

Who should take this exam?

Three ways to practise

Study mode

Timed mode

Flashcards

GCP-PCDE questions, answered

GCP-PCDEGoogle Cloud Professional Cloud Database Engineer practice test

Full access

Practice GCP-PCDE in the simulator.

GCP-PCDE, by the numbers.

Everything about GCP-PCDE.

Exam information

01Exam format120 min · 50-605

02Registration$2004

03Validity2 years2

04In our question bankv1 (207), PCDBE (258)

What GCP-PCDE covers

01Design Innovative, Scalable, and Highly Available Cloud Database Solutions32%4 topics

1.1Analyze relevant variables to perform database capacity and usage planningPerform solution sizing based on current environment workload metrics and future requirements4 obj.

1.2Evaluate database high availability and disaster recovery options given the requirementsEvaluate tradeoffs between multi-regional, regional, and zonal database deployment strategies2 obj.

1.3Determine how applications will connect to the databaseConfigure networking, key management, encryption, and security3 obj.

1.4Evaluate appropriate database solutions on Google CloudDifferentiate between managed and unmanaged database services (e.g., self-managed, bare metal, Google-managed, Google Cloud native and partner database offerings)8 obj.

Hands-on skills & common mistakesProvisioning Cloud SQL, AlloyDB, Spanner, and Bigtable instances · Confusing PSA (VPC peering) with PSC (service endpoint) and their IP/routing tradeoffs

02Manage a Solution That Can Span Multiple Database Technologies25%5 topics

03Migrate Data Solutions23%1 topic

04Deploy Scalable and Highly Available Databases in Google Cloud20%1 topic