Google GCP-DE : Data Engineer

  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Oct 02, 2026
  • Q & A: 77 Questions and Answers

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About Google GCP-DE Exam

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Preparing data for analysis and machine learning13%- Enabling data analysis
  • 1. Optimizing query performance
  • 2. Preparing datasets for querying and reporting
  • 3. Implementing data sharing and governance
- Preparing data for ML
  • 1. Supporting model training and serving
  • 2. Feature engineering and data preparation
Topic 2: Storing and managing data20%- Implementing storage solutions
  • 1. Designing data warehouses and data lakes
  • 2. Using data storage services appropriately
  • 3. Managing data lifecycle and retention
- Optimizing storage performance and cost
  • 1. Implementing cost optimization strategies
  • 2. Configuring storage for access patterns
Topic 3: Ingesting and processing data25%- Building data pipelines
  • 1. Handling data quality and consistency
  • 2. Implementing ingestion mechanisms
  • 3. Developing batch and streaming workflows
- Transforming data
  • 1. Managing schema evolution
  • 2. Applying data processing logic
  • 3. Optimizing transformations for performance
Topic 4: Designing data processing systems24%- 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
- Planning data solutions
  • 1. Selecting appropriate storage solutions
  • 2. Planning for data security and compliance
  • 3. Designing for reliability, scalability, and efficiency
Topic 5: Maintaining and automating data workloads18%- Operationalizing workloads
  • 1. Orchestrating and scheduling jobs
  • 2. Monitoring and troubleshooting pipelines
  • 3. Ensuring reliability and recoverability
- Automation and optimization
  • 1. Automating deployment and management
  • 2. Optimizing resource usage and costs

Google Data Engineer Sample Questions:

Question #1

The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .

  • A. worker node
  • B. conditional node
  • C. master node
  • D. application node
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

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

Correct Answer: D,E  🗳️

Question #3

You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

  • A. Python using MapReduce
  • B. HiveQL using Hive
  • C. PigLatin using Pig
  • D. Java using MapReduce
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

  • A. Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
  • B. Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
  • C. Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
  • D. Create a cron schedule in Cloud Dataprep.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

  • A. Cloud Speech-to-Text API
  • B. Dialogflow Enterprise Edition
  • C. Cloud AutoML Natural Language
  • D. Cloud Natural Language API
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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