Google CloudProfessional Data Engineer
Domain 2Objective 2
2.2 Building the Pipelines PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 2)
Part of the Ingesting and processing the data domain, which accounts for ~25% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~13–20 in this domain), expect 4–7 from this objective — we provide 38 practice questions to prepare you well beyond it. (estimate)
38questions here
8free pages
10concepts
~25%of the exam
Questions 6–10
- 6
A new data source provides data in JSON format, but the existing pipeline expects CSV. What is a common strategy to handle this format mismatch?
Select an answer first - 7
Which transformation operation combines data from two datasets based on a common key?
Select an answer first - 8
In Cloud Pub/Sub, what is the term for the entity that receives messages from a topic?
Select an answer first - 9
In a data pipeline, which transformation operation is used to remove rows that do not meet a specified condition?
Select an answer first - 10
A data engineer needs to import a large CSV file from an on-premises server into Cloud Storage. Which tool is commonly used for this purpose?
Select an answer first
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