GCP-ADP Data Preparation And Ingestion Practice Question
You need to perform data cleansing on a large dataset in Dataprep. Which execution engine should you choose for scalability?
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
✓
Dataflow
Dataprep uses Dataflow as its execution engine to scale to large 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.
- ✗
Local Desktop
Why it's wrong here
Local execution will fail for large datasets.
- ✗
BigQuery
Why it's wrong here
While Dataprep uses BigQuery for sampling, Dataflow is the engine.
- ✗
Cloud Run
Why it's wrong here
Cloud Run is not the primary execution engine for Dataprep.
- ✓
Dataflow
Why this is correct
Dataflow provides the distributed processing needed for large-scale Dataprep jobs.
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.