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Google GCP-DE Actual Tests : Data Engineer

GCP-DE actual test
  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Sep 16, 2026
  • Q & A: 77 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Google GCP-DE Exam Actual Tests

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: 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
Topic 3: Ensuring solution quality20%-25%- Data quality management
  • 1. Validate and clean data
  • 2. Maintain metadata and lineage
  • 3. Implement data governance
- 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%- Managing resources and costs
  • 1. Tune query and pipeline performance
  • 2. Control operational costs
  • 3. Optimize storage and compute usage
- Reliability and scalability
  • 1. Design highly available systems
  • 2. Scale data workloads efficiently
  • 3. Implement disaster recovery strategies

Google Data Engineer Sample Questions:

Question #1

You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?

  • A. Instead of feeding in each feature individually, average their values in batches of 3.
  • B. Eliminate features that are highly correlated to the output labels.
  • C. Combine highly co-dependent features into one representative feature.
  • D. Remove the features that have null values for more than 50% of the training records.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

  • A. only if
  • B. before
  • C. after
  • D. once
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

  • A. BigQuery and Cloud Storage
  • B. BigQuery and Cloud Bigtable
  • C. Cloud Bigtable and Cloud SQL
  • D. Cloud Datastore and Cloud Bigtable
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #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. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
  • B. Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
  • C. Deploy the Cloud SQL Proxy on the Cloud Dataproc master
  • D. Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

  • A. Cloud Spanner
  • B. Cloud Bigtable
  • C. Cloud SQL
  • D. Cloud Datastore
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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