Data Engineer: GCP-DE Exam

"Data Engineer", also known as GCP-DE exam, is a Google Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 77 Q&As to your GCP-DE Exam preparation. In the GCP-DE exam resources, you will cover every field and category in Google Cloud Certified Certification helping to ready you for your successful Google Certification.

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  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Certification Provider: Google
  • Corresponding Certification: Google Cloud Certified
  • Updated: Oct 03, 2026
  • No. of Questions: 77 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Maintaining and automating data workloads18%- Operationalizing workloads
  • 1. Ensuring reliability and recoverability
  • 2. Monitoring and troubleshooting pipelines
  • 3. Orchestrating and scheduling jobs
- Automation and optimization
  • 1. Optimizing resource usage and costs
  • 2. Automating deployment and management
Preparing data for analysis and machine learning13%- Preparing data for ML
  • 1. Feature engineering and data preparation
  • 2. Supporting model training and serving
- Enabling data analysis
  • 1. Preparing datasets for querying and reporting
  • 2. Optimizing query performance
  • 3. Implementing data sharing and governance
Storing and managing data20%- Optimizing storage performance and cost
  • 1. Implementing cost optimization strategies
  • 2. Configuring storage for access patterns
- Implementing storage solutions
  • 1. Managing data lifecycle and retention
  • 2. Using data storage services appropriately
  • 3. Designing data warehouses and data lakes
Ingesting and processing data25%- Transforming data
  • 1. Optimizing transformations for performance
  • 2. Managing schema evolution
  • 3. Applying data processing logic
- Building data pipelines
  • 1. Implementing ingestion mechanisms
  • 2. Handling data quality and consistency
  • 3. Developing batch and streaming workflows
Designing data processing systems24%- Planning data solutions
  • 1. Selecting appropriate storage solutions
  • 2. Designing for reliability, scalability, and efficiency
  • 3. Planning for data security and compliance
- Designing data pipelines
  • 1. Defining architecture for batch and streaming processing
  • 2. Planning for data migration and integration
  • 3. Designing for data transformation and enrichment

Google Data Engineer Sample Questions:

You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?

  • A. Cloud Functions
  • B. Cloud Composer
  • C. Cloud Dataflow
  • D. Cloud Scheduler
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

  • A. Create distinct groups for various teams, and specify groups in Cloud IAM policies.
  • B. For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
  • C. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
  • D. Use Cloud Deployment Manager to automate access provision.
  • E. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
  • F. Introduce resource hierarchy to leverage access control policy inheritance.
Reveal Solution  Discussion  0

Correct Answer: A,F  🗳️

Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

  • A. The with Allowed Lateness method
  • B. A processing time trigger
  • C. An hourly watermark
  • D. An event time trigger
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?

  • A. ParDo
  • B. Source API
  • C. Data extraction
  • D. Sink API
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

  • A. Pipeline
  • B. PCollection
  • C. Transform
  • D. Sink API
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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