GCP-ADP Data Preparation And Ingestion Practice Question
Your team uses Dataprep by Trifacta to clean data before loading it into BigQuery. You notice that the column header names contain inconsistent casing and special characters. Which Dataprep transformation should you use to standardize these headers globally?
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
✓
Rename Columns
The 'Rename' or 'Header' transformation allows for bulk column modification, but 'Rename' with regex or individual mapping is standard for header cleanup.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Nest Columns
Why it's wrong here
Nesting creates hierarchical structures, not renaming.
- ✗
Aggregate
Why it's wrong here
Aggregate is used for mathematical computations on cell values.
- ✓
Rename Columns
Why this is correct
Rename allows for targeted adjustments to header names to ensure consistency.
- ✗
Merge Columns
Why it's wrong here
Merge columns combines data, it does not modify metadata.
About these practice questions
This GCP-ADP question is part of Courseiva's 205-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Google Cloud exam blueprint
This GCP-ADP 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 GCP-ADP exam.