Google CloudProfessional Data Engineer
Domain 2Objective 2
2.2 Building the Pipelines PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 8)
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 36–38
- 36
Which open-source SDK is used to define data processing pipelines that can be executed on Google Cloud Dataflow?
Select an answer first - 37
A healthcare startup needs to ingest data from multiple sources (CSV files, a REST API, and a relational database) and load it into BigQuery. The team is small and has limited coding expertise. They want a visual tool to design the pipelines and manage scheduling. What should they use?
Select an answer first - 38
A data engineer needs a distributed streaming platform to ingest and store high-throughput event data for later processing. Which technology is best suited for this?
Select an answer first
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