Google GCP-DE : Data Engineer

GCP-DE pass collection

Exam Code: GCP-DE

Exam Name: Data Engineer

Updated: Aug 17, 2026

Q & A: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Designing data processing systems24%- 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
- Planning data solutions
  • 1. Selecting appropriate storage solutions
  • 2. Planning for data security and compliance
  • 3. Designing for reliability, scalability, and efficiency
Storing and managing data20%- Optimizing storage performance and cost
  • 1. Configuring storage for access patterns
  • 2. Implementing cost optimization strategies
- Implementing storage solutions
  • 1. Using data storage services appropriately
  • 2. Designing data warehouses and data lakes
  • 3. Managing data lifecycle and retention
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. Implementing data sharing and governance
  • 2. Preparing datasets for querying and reporting
  • 3. Optimizing query performance
Ingesting and processing data25%- Transforming data
  • 1. Optimizing transformations for performance
  • 2. Managing schema evolution
  • 3. Applying data processing logic
- Building data pipelines
  • 1. Handling data quality and consistency
  • 2. Developing batch and streaming workflows
  • 3. Implementing ingestion mechanisms

Google Data Engineer Sample Questions:

1. What are all of the BigQuery operations that Google charges for?

A) Storage, queries, and loading data from a file
B) Storage, queries, and exporting data
C) Queries and streaming inserts
D) Storage, queries, and streaming inserts


2. You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A) Increase the number of max workers
B) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
C) Create a temporary table in Cloud Spanner that will act as a buffer for new data
D) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
E) Use a larger instance type for your Cloud Dataflow workers
F) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
G) Change the zone of your Cloud Dataflow pipeline to run in us-central1


3. You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

A) Cloud Bigtable
B) Cloud Spanner
C) Cloud Datastore
D) Cloud SQL


4. You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

A) Cloud Bigtable
B) BigQuery
C) Cloud Datastore
D) Cloud SQL


5. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Read and write to Google Cloud Storage; write to Google Cloud Logging
B) Write to Google Cloud Storage; read to Google Cloud Logging
C) Execute to Google Cloud Storage; execute to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D,E
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: A

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