PDF Version DemoA Google certification remains one of the clearest career accelerators in IT. The Google Data Engineer exam stands in the way, and the 77 practice questions at ActualPDF are the direct route through it.
Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Professional Data Engineer Exam |
| Exam Number: | GCP-DE / PDE |
| Related Certifications: | Google Cloud Associate Cloud Engineer Google Cloud Professional Cloud Architect Google Cloud Professional Data Analyst |
| Exam Format: | Multiple select, Multiple choice |
| Passing Score: | Not publicly disclosed (scaled scoring system) |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 40 - 50 |
| Available Languages: | Japanese, English |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 USD (plus tax where applicable) |
| Recommended Training: | Official Exam Guide Google Cloud Professional Data Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: |  |
| Exam Way: | Online-proctored or onsite-proctored at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 3+ years industry experience, 1+ year working with Google Cloud data solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
| Maintaining and automating data workloads | 18% | - Automation and optimization
|
| Ingesting and processing data | 25% | - Building data pipelines
|
| Storing and managing data | 20% | - Optimizing storage performance and cost
|
| Designing data processing systems | 24% | - Designing data pipelines
|
Google GCP-DE Exam: FAQ for Serious Candidates
Google Data Engineer is an official Google Cloud exam, listed under exam code GCP-DE. A passing result earns you the Professional Data Engineer certification at the Professional level. It also ties into Google Cloud Professional Cloud Architect, Google Cloud Professional Data Analyst, Google Cloud Associate Cloud Engineer, extending its value across your certification roadmap. Employers read this credential as verified competence, which is why it keeps appearing in job requirements.
Expect 40 - 50 questions inside 120 minutes on the Google Data Engineer exam. That pace punishes hesitation, so rehearse it: the ActualPDF software engine simulates the real exam scene, reminds you of the questions you got wrong, and pushes you to re-practice them until the clock stops being your enemy.
Passing Google Data Engineer requires Not publicly disclosed (scaled scoring system), and the official registration fee is $200 USD (plus tax where applicable). Retakes charge the full $200 USD (plus tax where applicable) again, which is why experienced candidates treat preparation as the cheaper exam fee. Verify your readiness with repeated ActualPDF practice scores above the requirement before you commit to a date.
No mandatory prerequisites; recommended 3+ years industry experience, 1+ year working with Google Cloud data solutions
Requirements evolve, so confirm the current conditions before registering on the official exam page.
Registration for Google Data Engineer goes through the official channels listed here.
When you schedule, note that the exam is delivered Online-proctored or onsite-proctored at authorized test centers.
Google Cloud recommends the following training for Google Data Engineer candidates.
Follow any course with the 77 practice questions in the ActualPDF GCP-DE package; the software engine will even remind you which mistakes need another round.
Yes. ActualPDF provides a free download demo of the Google Data Engineer material, so you can check the content before choosing a version. After purchase, a one-year warranty covers you: the latest version is sent to you as it releases, free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your purchase is covered by a 100% money-back guarantee with clear conditions. Take the Google Data Engineer exam within 60 days of purchase; if you fail, provide your unqualified result by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and the full refund is processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are not covered. Alternatively, exchange for two other exam products of equal value, free, or wait for updates while keeping your original product's update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, which works 7/24 and normally replies within two hours. Installation is unlimited across your computers.
The Google Data Engineer syllabus spans 5 domains, led by Maintaining and automating data workloads (18%), Ingesting and processing data (25%), and Designing data processing systems (24%). The complete topic list is published above; candidates who study the map first rarely get lost later.
Google Data Engineer Sample Questions:
You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?
- A. Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
- B. Create groups for your users and give those groups access to the dataset
- C. Create a dummy user and grant dataset access to that use
- D. Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
- E. Use the service account's private key to access the dataset
- F. Create a service account and grant dataset access to that accoun
Correct Answer: F 🗳️
Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?
- A. Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
- B. Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
- C. Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
- D. Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
Correct Answer: B 🗳️
When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.
- A. HTTPS
- B. SOCKS
- C. VPN
- D. HTTP
Correct Answer: B 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?
- A. Single, Global Window
- B. Windows at every 1 minute
- C. Windows at every 10 minutes
- D. Windows at every 100 MB of data
Correct Answer: A 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
- A. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
- B. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
- C. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
- D. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
Correct Answer: C 🗳️
