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Last Updated: Sep 12, 2026
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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
| Designing data processing systems | 20% | - Data pipeline architecture design
|
| Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
| Maintaining and optimizing data and ML solutions | 20% | - Machine learning integration
|
Google Data Engineer Sample Questions:
Cloud Dataproc is a managed Apache Hadoop and Apache service.
- A. Ignite
- B. Fire
- C. Blaze
- D. Spark
Correct Answer: D 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?
- A. Set the BigQuery dataset to be regiona
- B. In the event of an emergency, use a point-in-time snapshot to recover the data.
- C. In the event of an emergency, use the backup copy of the table.
- D. Set the BigQuery dataset to be multi-regional
- E. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
- F. Set the BigQuery dataset to be multi-regional
- G. Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
- H. In the event of an emergency, use a point-in-time snapshot to recover the data.
- I. In the event of an emergency, use the backup copy of the table.
- J. Set the BigQuery dataset to be regiona
Correct Answer: H 🗳️
Which of these sources can you not load data into BigQuery from?
- A. File upload
- B. Google Cloud SQL
- C. Google Drive
- D. Google Cloud Storage
Correct Answer: B 🗳️
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You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?
- A. Use Cloud Vision AutoML, but reduce your dataset twice.
- B. Train your own image recognition model leveraging transfer learning techniques.
- C. Use Cloud Vision AutoML with the existing dataset.
- D. Use Cloud Vision API by providing custom labels as recognition hints.
Correct Answer: C 🗳️
You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?
- A. Cloud AutoML Natural Language
- B. Cloud Speech-to-Text API
- C. Cloud Natural Language API
- D. Dialogflow Enterprise Edition
Correct Answer: A 🗳️
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