Google GCP-DE : Data Engineer

GCP-DE real exams

Exam Code: GCP-DE

Exam Name: Data Engineer

Updated: Aug 28, 2026

Q & A: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

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

Google Data Engineer Sample Questions:

1. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Execute to Google Cloud Storage; write to Google Cloud Logging
B) Execute to Google Cloud Storage; execute to Google Cloud Logging
C) Write to Google Cloud Storage; read to Google Cloud Logging
D) Read and write to Google Cloud Storage; write to Google Cloud Logging


2. You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A) Deploy the model using a KubernetesEngine cluste
B) Deploy the model using Cloud Machine Learning Engin
C) Call the model from your application and process the results as labels.
D) Call the Cloud Natural Language API from your applicatio
E) Call the Cloud Natural Language API from your applicatio
F) Build and train a text classification model using TensorFlo
G) Process the generated Entity Analysis as labels.
H) Call the model from your application and process the results as labels.
I) Process the generated Sentiment Analysis as labels.
J) Build and train a text classification model using TensorFlo


3. Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

A) Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
B) Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
C) Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
D) Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes


4. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
B) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
C) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
D) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role


5. What are two methods that can be used to denormalize tables in BigQuery?

A) 1) Split table into multiple tables; 2) Use a partitioned table
B) 1) Use nested repeated fields; 2) Use a partitioned table
C) 1) Use a partitioned table; 2) Join tables into one table
D) 1) Join tables into one table; 2) Use nested repeated fields


Solutions:

Question # 1
Answer: D
Question # 2
Answer: G
Question # 3
Answer: B
Question # 4
Answer: D
Question # 5
Answer: D

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