Google GCP-DE Questions & Answers - in .pdf
- Total Q&A: 77
- Update: Sep 03, 2026
- Price: $59.99
- Vendor: Google
- Exam Code: GCP-DE
- Exam Name: Data Engineer
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Google GCP-DE Q&A - Testing Engine
- Total Q&A: 77
- Update: Sep 03, 2026
- Price: $59.99
- Vendor: Google
- Exam Code: GCP-DE
- Exam Name: Data Engineer
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Google GCP-DE Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Data Engineer |
| Exam Number: | GCP-DE |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple select, Multiple choice |
| Real Exam Qty: | 50-60 |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | Google Cloud Certified Professional Data Engineer |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Sample Questions: | Google GCP-DE Sample Questions |
| 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 |
|---|---|---|
| Topic 1: Designing data processing systems | 22%-27% | - Designing data pipelines
|
| Topic 2: Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
| Topic 3: Ensuring solution quality | 20%-25% | - Security and compliance
|
| Topic 4: Building and operationalizing data processing systems | 28%-33% | - Operationalizing systems
|
Google Data Engineer Sample Questions:
Question 1
What is the general recommendation when designing your row keys for a Cloud Bigtable schema?
A. Include multiple time series values within the row key
B. Keep your row key as long as the field permits
C. Keep the row keep as an 8 bit integer
D. Keep your row key reasonably short
Question 2
You architect a system to analyze seismic dat
a. Your extract, transform, and load (ETL) process runs as a series of MapReduce jobs on an Apache Hadoop cluster. The ETL process takes days to process a data set because some steps are computationally expensive. Then you discover that a sensor calibration step has been omitted. How should you change your ETL process to carry out sensor calibration systematically in the future?
A. Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
B. Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
C. Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
D. Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
Question 3
You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?
A. Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
B. Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.
C. Create an authorized view in BigQuery to restrict access to tables with sensitive data.
D. Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.
E. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
Question 4
An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?
A. Cloud SQL
B. Cloud BigTable
C. BigQuery
D. Cloud Datastore
Question 5
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 Speech-to-Text API
B. Cloud AutoML Natural Language
C. Dialogflow Enterprise Edition
D. Cloud Natural Language API
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: B | Question 5 Answer: B |
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