GCP-ADP Data Analysis And Presentation Practice Question
You are writing a Python script in Vertex AI Workbench. You want to query BigQuery and load the result into a pandas DataFrame. Which library should you use?
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
✓
google-cloud-bigquery
The `google-cloud-bigquery` library contains the `to_dataframe()` method which is specifically designed for this.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
requests
Why it's wrong here
Requests is for HTTP calls, not for BigQuery data interactions.
- ✗
pandas-gbq
Why it's wrong here
While it works, it is essentially a wrapper and the official `google-cloud-bigquery` library is preferred.
- ✓
google-cloud-bigquery
Why this is correct
This is the official client library for BigQuery integration with Python.
- ✗
sqlalchemy
Why it's wrong here
SQLAlchemy is a generic ORM, not the primary library for BigQuery.
About these practice questions
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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.