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Google Professional Data Engineer (PDE) ACTUAL
PRACTICE EXAM 2026/2027 | Verified Questions
and Answers | Complex Architectural Scenarios &
Trade-off Analysis | Exam Pass Target - A+ Graded
SECTION 1: Designing Data Processing Systems (Questions 1-15)
Q1: A retail company needs to store 50 TB of sales transaction data for ad-hoc analytical queries
by business analysts. The data is structured, requires complex joins across multiple tables, and
must support SQL queries with sub-second response times for dashboards. Data ingestion occurs
in daily batches. Which storage solution is most appropriate?
A. Cloud Bigtable with Apache HBase API for fast random access
B. Cloud Storage with Avro format and BigQuery external tables
C. BigQuery with partitioned and clustered tables for analytical workloads [CORRECT]
D. Cloud SQL PostgreSQL with read replicas for query distribution
Correct Answer: C
Q2: A gaming company needs to store player session data with high write throughput (1 million
events/second) and low-latency reads (under 10ms) for real-time leaderboards. The data schema
evolves frequently, and the system must handle petabyte-scale storage. Which GCP service best
meets these requirements?
A. BigQuery with streaming inserts
B. Cloud Bigtable with column-family design for time-series data [CORRECT]
C. Cloud SQL with sharding
D. Firestore in Native mode with automatic scaling
Correct Answer: B
Q3: A financial services firm must retain transaction logs for 7 years to comply with regulations.
The data is rarely accessed after 90 days but must remain immediately accessible. The solution
must minimize storage costs while ensuring data integrity and encryption. Which approach is
most cost-effective?
A. Store all data in BigQuery with long-term storage pricing
B. Use Cloud Storage with lifecycle policies: Standard for 90 days, then Nearline for 2 years,
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then Coldline for remaining period [CORRECT]
C. Maintain everything in Cloud SQL with automated backups
D. Use Cloud Bigtable with time-to-live (TTL) policies set to 7 years
Correct Answer: B
Q4: A healthcare organization needs to design a data lake for genomic research data. The system
must support batch processing of large files (100+ GB each), accommodate unstructured and
semi-structured data, and integrate with existing Apache Spark workloads. Data residency
requirements mandate storage in specific regions. Which architecture is optimal?
A. Cloud Storage regional buckets with Dataproc for Spark processing [CORRECT]
B. BigQuery with clustered tables for genomic sequences
C. Cloud Bigtable for variant call format (VCF) storage
D. Cloud SQL with JSON columns for flexible schema
Correct Answer: A
Q5: An e-commerce platform requires a relational database for transactional order processing
with ACID compliance, support for complex transactions, and global read replicas for low-
latency access across regions. The database must handle 50,000 transactions per second at peak.
Which solution meets these requirements?
A. BigQuery with DML operations
B. Cloud Spanner with multi-region configuration [CORRECT]
C. Cloud SQL with read replicas
D. Firestore in Datastore mode
Correct Answer: B
Q6: A manufacturing company collects sensor data from 100,000 IoT devices. The data includes
time-series metrics (temperature, pressure) and occasional alert events. The system must support
real-time monitoring dashboards and historical analysis of 5 years of data. Which storage
combination is most appropriate?
A. Cloud Pub/Sub to Cloud Bigtable for hot data, export to BigQuery for cold analytics
[CORRECT]
B. Direct ingestion to BigQuery for all data
C. Cloud SQL with time-series tables
D. Firestore with real-time listeners for all metrics
Google Professional Data Engineer (PDE) ACTUAL
PRACTICE EXAM 2026/2027 | Verified Questions
and Answers | Complex Architectural Scenarios &
Trade-off Analysis | Exam Pass Target - A+ Graded
SECTION 1: Designing Data Processing Systems (Questions 1-15)
Q1: A retail company needs to store 50 TB of sales transaction data for ad-hoc analytical queries
by business analysts. The data is structured, requires complex joins across multiple tables, and
must support SQL queries with sub-second response times for dashboards. Data ingestion occurs
in daily batches. Which storage solution is most appropriate?
A. Cloud Bigtable with Apache HBase API for fast random access
B. Cloud Storage with Avro format and BigQuery external tables
C. BigQuery with partitioned and clustered tables for analytical workloads [CORRECT]
D. Cloud SQL PostgreSQL with read replicas for query distribution
Correct Answer: C
Q2: A gaming company needs to store player session data with high write throughput (1 million
events/second) and low-latency reads (under 10ms) for real-time leaderboards. The data schema
evolves frequently, and the system must handle petabyte-scale storage. Which GCP service best
meets these requirements?
A. BigQuery with streaming inserts
B. Cloud Bigtable with column-family design for time-series data [CORRECT]
C. Cloud SQL with sharding
D. Firestore in Native mode with automatic scaling
Correct Answer: B
Q3: A financial services firm must retain transaction logs for 7 years to comply with regulations.
The data is rarely accessed after 90 days but must remain immediately accessible. The solution
must minimize storage costs while ensuring data integrity and encryption. Which approach is
most cost-effective?
A. Store all data in BigQuery with long-term storage pricing
B. Use Cloud Storage with lifecycle policies: Standard for 90 days, then Nearline for 2 years,
, S
then Coldline for remaining period [CORRECT]
C. Maintain everything in Cloud SQL with automated backups
D. Use Cloud Bigtable with time-to-live (TTL) policies set to 7 years
Correct Answer: B
Q4: A healthcare organization needs to design a data lake for genomic research data. The system
must support batch processing of large files (100+ GB each), accommodate unstructured and
semi-structured data, and integrate with existing Apache Spark workloads. Data residency
requirements mandate storage in specific regions. Which architecture is optimal?
A. Cloud Storage regional buckets with Dataproc for Spark processing [CORRECT]
B. BigQuery with clustered tables for genomic sequences
C. Cloud Bigtable for variant call format (VCF) storage
D. Cloud SQL with JSON columns for flexible schema
Correct Answer: A
Q5: An e-commerce platform requires a relational database for transactional order processing
with ACID compliance, support for complex transactions, and global read replicas for low-
latency access across regions. The database must handle 50,000 transactions per second at peak.
Which solution meets these requirements?
A. BigQuery with DML operations
B. Cloud Spanner with multi-region configuration [CORRECT]
C. Cloud SQL with read replicas
D. Firestore in Datastore mode
Correct Answer: B
Q6: A manufacturing company collects sensor data from 100,000 IoT devices. The data includes
time-series metrics (temperature, pressure) and occasional alert events. The system must support
real-time monitoring dashboards and historical analysis of 5 years of data. Which storage
combination is most appropriate?
A. Cloud Pub/Sub to Cloud Bigtable for hot data, export to BigQuery for cold analytics
[CORRECT]
B. Direct ingestion to BigQuery for all data
C. Cloud SQL with time-series tables
D. Firestore with real-time listeners for all metrics
