Study with Google : GCP-DE Exam Torrent as your best preparation materials
Last Updated: Oct 07, 2026
No. of Questions: 77 Questions & Answers with Testing Engine
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Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Data Engineer |
| Exam Number: | GCP-DE |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Google Cloud Certified Professional Data Engineer |
| Real Exam Qty: | 50-60 |
| Exam Format: | Multiple select, Multiple choice |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Available Languages: | English, Japanese |
| Exam Price: | $200 USD |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No formal prerequisites. Google recommends 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Building and operationalizing data processing systems | 28%-33% | - Operationalizing systems
|
| Designing data processing systems | 22%-27% | - Designing for data ingestion
|
| Ensuring solution quality | 20%-25% | - Security and compliance
|
| Managing and optimizing solutions | 20%-25% | - Reliability and scalability
|
GCP-DE Exam Facts and Self-Paced Study at SurePassExams
- Building and operationalizing data processing systems (28%-33%)
- Designing data processing systems (22%-27%)
- Managing and optimizing solutions (20%-25%)
Google Data Engineer Sample Questions:
Which is not a valid reason for poor Cloud Bigtable performance?
- A. The Cloud Bigtable cluster has too many nodes.
- B. The table's schema is not designed correctly.
- C. The workload isn't appropriate for Cloud Bigtable.
- D. There are issues with the network connection.
Correct Answer: A 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
What are all of the BigQuery operations that Google charges for?
- A. Storage, queries, and exporting data
- B. Storage, queries, and loading data from a file
- C. Storage, queries, and streaming inserts
- D. Queries and streaming inserts
Correct Answer: C 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?
- A. Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
- B. Create a cron schedule in Cloud Dataprep.
- C. Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
- D. Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
Correct Answer: C 🗳️
You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?
- A. Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
- B. Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
- C. Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
- D. Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
Correct Answer: B 🗳️
You launched a new gaming app almost three years ago. You have been uploading log files from the previous day to a separate Google BigQuery table with the table name format LOGS_yyyymmdd. You have been using table wildcard functions to generate daily and monthly reports for all time ranges. Recently, you discovered that some queries that cover long date ranges are exceeding the limit of 1,000 tables and failing. How can you resolve this issue?
- A. Create separate views to cover each month, and query from these views
- B. Convert the sharded tables into a single partitioned table
- C. Enable query caching so you can cache data from previous months
- D. Convert all daily log tables into date-partitioned tables
Correct Answer: D 🗳️
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