GCP-ADP Data Analysis And Presentation Practice Question
Which TWO actions can help reduce the time it takes to build a Jupyter notebook in Vertex AI Workbench?
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
✓
Scaling up the machine type for the instance
Optimizing compute and pre-installing environments can speed up development.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Scaling up the machine type for the instance
Why this is correct
Larger machines can handle more compute tasks faster.
- ✗
Change the project name
Why it's wrong here
This has no impact on performance.
- ✗
Disable the persistent disk
Why it's wrong here
Disabling the disk prevents saving progress.
- ✓
Using custom container images with pre-installed packages
Why this is correct
Custom containers avoid long install times at startup.
- ✗
Using a single-core machine
Why it's wrong here
This would slow down computation.
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.