Google Professional Data Engineer Exam Questions

Exam Name: Google Cloud Certified Professional Data Engineer

Exam Code: Professional Data Engineer

Related Certification(s): Google Cloud Certified Certification

Certification Provider: Google

Actual Exam Duration: 120 Minutes

Number of Professional Data Engineer Practice Questions: 384 (updated: )

Expected Professional Data Engineer Exam Topics, as suggested by Google:
Topic 1: Designing data processing systems
It delves into designing for security and compliance, reliability and fidelity, flexibility and portability, and data migrations.
Topic 2: Ingesting and processing the data
The topic discusses planning of the data pipelines, building the pipelines, acquisition and import of data, and deploying and operationalizing the pipelines.
Topic 3: Storing the data
This topic explains how to select storage systems and how to plan using a data warehouse. Additionally, it discusses how to design for a data mesh.
Topic 4: Preparing and using data for analysis
Questions about data for visualization, data sharing, and assessment of data may appear.
Topic 5: Maintaining and automating data workloads
It discusses optimizing resources, automation and repeatability design, and organization of workloads as per business requirements. Lastly, the topic explains monitoring and troubleshooting processes and maintaining awareness of failures.
Free Google Cloud Certified Professional Data Engineer Exam Actual Questions
Note: Google Cloud Certified Professional Data Engineer Premium Questions were last updated on

Q1# What is the HBase Shell for Cloud Bigtable?

Q2# How can you get a neural network to learn about relationships between categories in a categorical feature?

Q3# Your organization has been collecting and analyzing data in BigQuery… Which two actions should you take?

Q4# You have data pipelines running on BigQuery, Dataflow, and Dataproc. What should you do?

Q5# You have a data pipeline with Dataflow writing to Bigtable. What should you do? (Choose 2 answers)