Google GCP-DE : Data Engineer

  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Sep 07, 2026   Q&As: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Designing data processing systems22%-27%- Designing data pipelines
  • 1. Build ETL and ELT pipelines
  • 2. Optimize pipeline performance and cost
  • 3. Design orchestration workflows
- Designing for data ingestion
  • 1. Design batch and streaming ingestion solutions
  • 2. Design scalable and reliable ingestion architecture
  • 3. Select appropriate storage systems
Topic 2: Building and operationalizing data processing systems28%-33%- Building data processing systems
  • 1. Implement streaming data systems
  • 2. Implement batch processing systems
  • 3. Use BigQuery, Dataflow, Pub/Sub, Dataproc and related services
- Operationalizing systems
  • 1. Implement fault tolerance and recovery
  • 2. Monitor data pipelines and workloads
  • 3. Manage logging and alerting
Topic 3: Ensuring solution quality20%-25%- Data quality management
  • 1. Maintain metadata and lineage
  • 2. Implement data governance
  • 3. Validate and clean data
- Security and compliance
  • 1. Implement encryption and compliance controls
  • 2. Protect sensitive data
  • 3. Manage IAM and access control
Topic 4: Managing and optimizing solutions20%-25%- Reliability and scalability
  • 1. Scale data workloads efficiently
  • 2. Design highly available systems
  • 3. Implement disaster recovery strategies
- Managing resources and costs
  • 1. Control operational costs
  • 2. Optimize storage and compute usage
  • 3. Tune query and pipeline performance
Google Data Engineer Sample Questions:

Question 1

When a Cloud Bigtable node fails, is lost.

A. all data
B. the last transaction
C. no data
D. the time dimension


Question 2

Which is not a valid reason for poor Cloud Bigtable performance?

A. The table's schema is not designed correctly.
B. There are issues with the network connection.
C. The workload isn't appropriate for Cloud Bigtable.
D. The Cloud Bigtable cluster has too many nodes.


Question 3

You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A. Create an authorized view in BigQuery to restrict access to tables with sensitive data.
B. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
C. Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
D. Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
E. Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.


Question 4

Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A. A sequential numeric ID
B. A timestamp followed by a stock symbol
C. A stock symbol followed by a timestamp
D. A non-sequential numeric ID


Question 5

You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

A. Cloud Datastore
B. Cloud SQL
C. Cloud Spanner
D. Cloud Bigtable


Solutions:

Question 1
Answer: C
Question 2
Answer: D
Question 3
Answer: A
Question 4
Answer: A,B
Question 5
Answer: C

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