Google Data Engineer : GCP-DE

  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Sep 22, 2026     Q & A: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

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

Google Data Engineer Sample Questions:

Question #1

For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

  • A. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
  • B. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
  • C. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
  • D. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

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

Correct Answer: A  🗳️

Question #3

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

Correct Answer: B  🗳️

Question #4

An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?

  • A. Cloud Datastore
  • B. Cloud BigTable
  • C. BigQuery
  • D. Cloud SQL
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

  • A. Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
  • B. Use the WHERE_PARTITIONTIME pseudo column
  • C. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
  • D. Use the TABLE_DATE_RANGE function
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for PracticeTorrent members. You can sign-up / login (it's free).

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