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Last Updated: Sep 15, 2026
No. of Questions: 77 Questions & Answers with Testing Engine
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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Designing data processing systems | 20% | - Storage and data modeling
|
| Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
| Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
| Maintaining and optimizing data and ML solutions | 20% | - Security and governance
|
Google Data Engineer Sample Questions:
MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?
- A. Cloud Datastore and Cloud Bigtable
- B. Cloud Bigtable and Cloud SQL
- C. BigQuery and Cloud Storage
- D. BigQuery and Cloud Bigtable
Correct Answer: D 🗳️
Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?
- A. An hourly watermark
- B. An event time trigger
- C. The with Allowed Lateness method
- D. A processing time trigger
Correct Answer: D 🗳️
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All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.
- A. before
- B. only if
- C. after
- D. once
Correct Answer: A 🗳️
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You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?
- A. Use Cloud Dataflow to run your transformation
- B. Monitor the total execution time for a sampling of job
- C. Use the diagnose command to generate an operational output archiv
- D. Use Cloud Dataproc to run your transformation
- E. Configure the job to use non-default Compute Engine machine types when needed.
- F. Resize the number of worker nodes in your cluster via the command line.
- G. Monitor CPU utilization for the cluste
- H. Use Cloud Dataflow to run your transformation
- I. Monitor the job system lag with Stackdrive
- J. Locate the bottleneck and adjust cluster resources.
- K. Use Cloud Dataproc to run your transformation
- L. Use the default autoscaling setting for worker instances.
Correct Answer: G 🗳️
For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
- A. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
- B. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
- C. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
- D. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
Correct Answer: D 🗳️
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