PDE Designing Data Processing Systems Practice Question
You need to run a one-time data transformation job on a small CSV file (100 MB) using a visual, code-free interface. Which Google Cloud service is designed for this?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Dataprep
Dataprep (Trifacta) is a visual data wrangling tool for exploring and transforming data without code. It's ideal for ad-hoc, small to medium datasets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Dataflow
Why it's wrong here
Dataflow requires coding pipelines in Beam.
- ✗
Cloud Data Fusion
Why it's wrong here
Data Fusion is for ETL pipelines, not lightweight wrangling.
- ✓
Dataprep
Why this is correct
Dataprep provides visual wrangling for data exploration and transformation.
- ✗
Dataproc
Why it's wrong here
Dataproc is for Spark/Hadoop, not visual wrangling.
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This PDE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PDE exam.