Google Data Engineer : GCP-DE

  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Sep 12, 2026
  • Q & A: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ingesting and processing data25%- Transforming data
  • 1. Applying data processing logic
  • 2. Managing schema evolution
  • 3. Optimizing transformations for performance
- Building data pipelines
  • 1. Handling data quality and consistency
  • 2. Developing batch and streaming workflows
  • 3. Implementing ingestion mechanisms
Topic 2: Maintaining and automating data workloads18%- Automation and optimization
  • 1. Automating deployment and management
  • 2. Optimizing resource usage and costs
- Operationalizing workloads
  • 1. Ensuring reliability and recoverability
  • 2. Orchestrating and scheduling jobs
  • 3. Monitoring and troubleshooting pipelines
Topic 3: Designing data processing systems24%- Designing data pipelines
  • 1. Defining architecture for batch and streaming processing
  • 2. Designing for data transformation and enrichment
  • 3. Planning for data migration and integration
- Planning data solutions
  • 1. Designing for reliability, scalability, and efficiency
  • 2. Selecting appropriate storage solutions
  • 3. Planning for data security and compliance
Topic 4: Storing and managing data20%- Optimizing storage performance and cost
  • 1. Configuring storage for access patterns
  • 2. Implementing cost optimization strategies
- Implementing storage solutions
  • 1. Managing data lifecycle and retention
  • 2. Designing data warehouses and data lakes
  • 3. Using data storage services appropriately
Topic 5: 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

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 the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
  • 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 both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

  • A. An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
  • B. An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
  • C. An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
  • D. An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

  • A. Create a view on the table to present to the virtualization tool.
  • B. Create an additional table with only the necessary columns.
  • C. Export the data into a Google Sheet for virtualization.
  • D. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

You receive data files in CSV format monthly from a third party. You need to cleanse this data, but every third month the schema of the files changes. Your requirements for implementing these transformations include:
Executing the transformations on a schedule
Enabling non-developer analysts to modify transformations
Providing a graphical tool for designing transformations
What should you do?

  • A. The Python code should be stored in a revision control system and modified as the incoming data's schema changes
  • B. Merge the transformed tables together with a SQL query
  • C. Use Cloud Dataprep to build and maintain the transformation recipes, and execute them on a scheduled basis
  • D. Load each month's CSV data into BigQuery, and write a SQL query to transform the data to a standard scheme
  • E. Help the analysts write a Cloud Dataflow pipeline in Python to perform the transformatio
  • F. Use Apache Spark on Cloud Dataproc to infer the schema of the CSV file before creating a Dataframe.Then implement the transformations in Spark SQL before writing the data out to Cloud Storage and loading into BigQuery
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

Question #5

What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

  • A. Windows
  • B. Sessions
  • C. OutputCriteria
  • D. Triggers
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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