Google Data Engineer : GCP-DE

GCP-DE real exams

Exam Code: GCP-DE

Exam Name: Data Engineer

Updated: Aug 16, 2026

Q & A: 77 Questions and Answers

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Google GCP-DE Exam Syllabus Topics:

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

Google Data Engineer Sample Questions:

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


2. You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

A) Workflow Templates on Cloud Dataproc
B) cron
C) Cloud Composer
D) Cloud Scheduler


3. You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A) Change references in scripts from hdfs:// to gs://
B) Change references in scripts from hdfs:// to gs://
C) Deploy a Cloud Dataproc cluste
D) Use an SSD persistent disk and 50% preemptible worker
E) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
F) Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
G) Install the Cloud Storage connector, and store the data in Cloud Storag
H) Deploy a Cloud Dataproc cluste
I) Use a standard persistent disk and 50% preemptible worker
J) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
K) Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance


4. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Windows at every 100 MB of data
B) Single, Global Window
C) Windows at every 10 minutes
D) Windows at every 1 minute


5. You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A) Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
B) Create an authorized view in BigQuery to restrict access to tables with sensitive data.
C) Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.
D) Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
E) Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: C
Question # 4
Answer: B
Question # 5
Answer: B

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