Google GCP-DE valid study dumps : Data Engineer

  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Updated: Aug 20, 2026
  • Q&As: 77 Questions and Answers

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About Google Data Engineer - GCP-DE Valid Dumps

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GCP-DE exam dumps

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Ensuring solution quality20%-25%- Security and compliance
  • 1. Implement encryption and compliance controls
  • 2. Protect sensitive data
  • 3. Manage IAM and access control
- Data quality management
  • 1. Maintain metadata and lineage
  • 2. Validate and clean data
  • 3. Implement data governance
Managing and optimizing solutions20%-25%- Managing resources and costs
  • 1. Tune query and pipeline performance
  • 2. Optimize storage and compute usage
  • 3. Control operational costs
- Reliability and scalability
  • 1. Design highly available systems
  • 2. Scale data workloads efficiently
  • 3. Implement disaster recovery strategies
Designing data processing systems22%-27%- Designing data pipelines
  • 1. Design orchestration workflows
  • 2. Build ETL and ELT pipelines
  • 3. Optimize pipeline performance and cost
- Designing for data ingestion
  • 1. Design scalable and reliable ingestion architecture
  • 2. Design batch and streaming ingestion solutions
  • 3. Select appropriate storage systems
Building and operationalizing data processing systems28%-33%- Building data processing systems
  • 1. Use BigQuery, Dataflow, Pub/Sub, Dataproc and related services
  • 2. Implement streaming data systems
  • 3. Implement batch processing systems
- Operationalizing systems
  • 1. Manage logging and alerting
  • 2. Implement fault tolerance and recovery
  • 3. Monitor data pipelines and workloads

Google Data Engineer Sample Questions:

1. 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 SQL
B) Cloud Datastore
C) Cloud BigTable
D) BigQuery


2. Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?

A) Add ", UNNEST(city)" before the WHERE clause.
B) Change "person" to "city.person".
C) Add ", UNNEST(person)" before the WHERE clause.
D) Change "person" to "person.city".


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) HiveQL using Hive
B) Java using MapReduce
C) PigLatin using Pig
D) Python using MapReduce


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 are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

A) Pipeline
B) Sink API
C) PCollection
D) Transform


Solutions:

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

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