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Google Professional Data Engineer Exam

Last Update Feb 14, 2026
Total Questions : 400 With Comprehensive Analysis

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Last Update Feb 14, 2026
Total Questions : 400 With Comprehensive Analysis

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Google Professional-Data-Engineer Exam Dumps FAQs

The Professional-Data-Engineer Google Cloud Certified exam consists of multiple-choice and multiple-select questions. The exam duration is 2 hours, and the passing score is 70%.
The Professional-Data-Engineer Google Cloud Certified exam tests your ability to design, build, and manage data systems on Google Cloud. It covers data processing, machine learning, security, and optimization.
ClapGeek offers a range of study materials, including comprehensive Professional-Data-Engineer exam dumps, practice tests, and expertly crafted study guides. Our Professional-Data-Engineer exam materials cover all topics required for the Google Professional-Data-Engineer certification.
Yes, ClapGeek provides Professional-Data-Engineer PDF questions for the Google Professional-Data-Engineer exam. These are accessible after purchase and can be used offline for convenient studying.

The Google Professional-Data-Engineer and Cloud-Digital-Leader exams cater to different audiences and skill levels within the Google Cloud ecosystem:

  • Google Professional-Data-Engineer Exam: The Google Professional-Data-Engineer Exam focuses on advanced data engineering tasks, such as designing, building, and maintaining scalable data processing systems and implementing machine learning models on Google Cloud.
  • Google Cloud-Digital-Leader Exam: The Google Cloud-Digital-Leader Exam centers on foundational knowledge of cloud computing and understanding how Google Cloud products and services can be leveraged to achieve business objectives.
Yes, ClapGeek offers a guarantee that you will pass the Google Professional-Data-Engineer exam using our Professional-Data-Engineer exam questions answers and study materials. In case of failure, specific refund policies may apply.
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Google Professional Data Engineer Exam Questions and Answers

Questions 1

You work for a manufacturing plant that batches application log files together into a single log file once a day at 2:00 AM. You have written a Google Cloud Dataflow job to process that log file. You need to make sure the log file in processed once per day as inexpensively as possible. What should you do?

Options:

A.

Change the processing job to use Google Cloud Dataproc instead.

B.

Manually start the Cloud Dataflow job each morning when you get into the office.

C.

Create a cron job with Google App Engine Cron Service to run the Cloud Dataflow job.

D.

Configure the Cloud Dataflow job as a streaming job so that it processes the log data immediately.

Questions 2

You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:

The user profile: What the user likes and doesn’t like to eat

The user account information: Name, address, preferred meal times

The order information: When orders are made, from where, to whom

The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use?

Options:

A.

BigQuery

B.

Cloud SQL

C.

Cloud Bigtable

D.

Cloud Datastore

Questions 3

Your company is loading comma-separated values (CSV) files into Google BigQuery. The data is fully imported successfully; however, the imported data is not matching byte-to-byte to the source file. What is the most likely cause of this problem?

Options:

A.

The CSV data loaded in BigQuery is not flagged as CSV.

B.

The CSV data has invalid rows that were skipped on import.

C.

The CSV data loaded in BigQuery is not using BigQuery’s default encoding.

D.

The CSV data has not gone through an ETL phase before loading into BigQuery.

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