Google Google Cloud Certified Professional-Data-Engineer

From a free demo to 365 days of updates and a clearly stated refund policy, Dumpleader covers the whole Google Certified Professional Data Engineer journey. Pick your format, download your Professional-Data-Engineer material, and start working through the 433 practice questions today — everything is current for 2026.

Google Professional-Data-Engineer Exam Overview:

Google Professional-Data-Engineer Exam Syllabus Topics:

Everything Candidates Ask About the Google Professional-Data-Engineer Exam

How many questions are on the Professional-Data-Engineer exam, and how long do I have?

The Google Certified Professional Data Engineer exam includes 50-60 questions and gives you 120 minutes to finish. That works out to a tight per-question pace, so flagging a hard item and moving on is usually smarter than getting stuck. Before test day, sit at least one full timed session with the Dumpleader test engine — practicing under the clock is the fastest way to build the rhythm the real Professional-Data-Engineer exam demands.

What exactly does the Google Certified Professional Data Engineer exam test?

The Professional-Data-Engineer exam is the official Google exam that leads to the Google Cloud Certified certification, positioned at the Professional level. It validates the skills employers expect from certified professionals, and passing it is a concrete step forward in an IT career. It is also connected with other credentials in the same track, including Google Cloud Certified Professional Data Engineer.

Can I try the Professional-Data-Engineer practice questions before I buy?

Yes. Dumpleader offers a free PDF demo of the Google Certified Professional Data Engineer material, so you can check the question style and answer quality before paying. After purchase, your product includes 365 days of free updates; once that period expires, you can extend the update service at a 50% discount from your member zone.

What score do I need to pass the Professional-Data-Engineer exam, and what does it cost?

The passing score for the Google Certified Professional Data Engineer exam is Not officially published (estimated ~80%), and the official registration fee is $200 USD. Keep in mind that a failed attempt means paying the full fee again to retake it. A sensible approach is to test yourself first with Dumpleader practice questions and only book your seat once your mock scores sit comfortably above Not officially published (estimated ~80%).

What topics are covered in the Professional-Data-Engineer exam?

The Google Certified Professional Data Engineer exam is organized into 5 domains. The main ones include Ingesting and processing the data (~20% of the exam) (20%); Maintaining and automating data workloads (~15% of the exam) (15%); Preparing and using data for analysis (~15% of the exam) (15%). Weightings tell you where to spend most of your study time, and the full topic breakdown is listed in the exam outline section above on this page.

What happens if I fail the Professional-Data-Engineer exam, and how is my purchase delivered?

If you take the Google Certified Professional Data Engineer exam within 60 days of your purchase and do not pass, you can apply for a full refund under the Dumpleader refund policy. The claim requires a scanned enrollment slip and your official Score Report in PDF, submitted within 2 days after the exam; claims are processed within 7 days. Note that the guarantee applies only to the corresponding exam — attempts taken within 3 days of purchase, downloaded-but-never-taken exams, free materials, and expired orders are not covered, and the candidate name must match the payer name. Prefer new material instead of a refund? You can swap for two free exam products of equal value and keep the update service on your original purchase. As for delivery, everything is instant: the download link reaches your mailbox within one minute of payment (contact support if nothing arrives within 2 hours), and there is no limit on how many computers you can install it on.

Are there any prerequisites for the Professional-Data-Engineer exam?

No mandatory prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. Requirements like these can change, so before you book, confirm the current eligibility rules on the official page: https://cloud.google.com/learn/certification/data-engineer.

Google Certified Professional Data Engineer Sample Questions:

Question #1
Your organization's data assets are stored in BigQuery, Pub/Sub, and a PostgreSQL instance running on Compute Engine. Because there are multiple domains and diverse teams using the data, teams in your organization are unable to discover existing data assets. You need to design a solution to improve data discoverability while keeping development and configuration efforts to a minimum. What should you do?

A. Use Data Catalog to automatically catalog BigQuery datasets and Pub/Sub topics. Use custom connectors to manually catalog PostgreSQL tables.
B. Use Data Catalog to automatically catalog BigQuery datasets and Pub/Sub topics. Use Data Catalog APIs to manually catalog PostgreSQL tables.
C. Use Data Catalog to automatically catalog BigQuery datasets. Use Data Catalog APIs to manually catalog Pub/Sub topics and PostgreSQL tables.
D. Use customer connectors to manually catalog BigQuery datasets, Pub/Sub topics, and PostgreSQL tables.

Question #2
Your startup has a web application that currently serves customers out of a single region in Asia.
You are targeting funding that will allow your startup to serve customers globally. Your current goal is to optimize for cost, and your post-funding goal is to optimize for global presence and performance. You must use a native JDBC driver. What should you do?

A. Use a Cloud SQL for PostgreSQL zonal instance first, and Cloud SQL for PostgreSQL with highly available configuration after securing funding.
B. Use a Cloud SQL for PostgreSQL highly available instance first, and Bigtable with US, Europe, and Asia replication after securing funding.
C. Use a Cloud SQL for PostgreSQL zonal instance first, and Bigtable with US, Europe, and Asia after securing funding.
D. Use Cloud Spanner to configure a single region instance initially, and then configure multi-region Cloud Spanner instances after securing funding.

Question #3
Your company is implementing a data warehouse using BigQuery, and you have been tasked with designing the data model. You move your on-premises sales data warehouse with a star data schema to BigQuery but notice performance issues when querying the data of the past 30 days Based on Google's recommended practices, what should you do to speed up the query without increasing storage costs?

A. Denormalize the data
B. Partition the data by transaction date
C. Materialize the dimensional data in views
D. Shard the data by customer ID

Question #4
You are configuring networking for a Dataflow job. The data pipeline uses custom container images with the libraries that are required for the transformation logic preinstalled. The data pipeline reads the data from Cloud Storage and writes the data to BigQuery. You need to ensure cost-effective and secure communication between the pipeline and Google APIs and services.
What should you do?

A. Disable external IP addresses from worker VMs and enable Private Google Access.
B. Enable Cloud NAT to provide outbound internet connectivity while enforcing firewall rules.
C. Disable external IP addresses and establish a Private Service Connect endpoint IP address.
D. Leave external IP addresses assigned to worker VMs while enforcing firewall rules.

Question #5
How would you query specific partitions in a BigQuery table?

A. Use the __PARTITIONTIME pseudo-column in the WHERE clause
B. Use DATE BETWEEN in the WHERE clause
C. Use the DAY column in the WHERE clause
D. Use the EXTRACT(DAY) clause

Solutions: