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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #104
You have been asked to build a model using a dataset that is stored in a medium-sized (~10 GB) BigQuery table. You need to quickly determine whether this data is suitable for model development. You wa
The correct answer is A. Use Vertex AI Workbench user-managed notebooks to generate the report.. While Google Data Studio (Option B) is a powerful data visualization and reporting tool, it might not provide the same level of flexibility and sophistication for statistical analyses compared to a notebook environment.
Submitted by sofia.br· Apr 18, 2026ML model development
Question
You have been asked to build a model using a dataset that is stored in a medium-sized (~10 GB) BigQuery table. You need to quickly determine whether this data is suitable for model development. You want to create a one-time report that includes both informative visualizations of data distributions and more sophisticated statistical analyses to share with other ML engineers on your team. You require maximum flexibility to create your report. What should you do?
Options
- AUse Vertex AI Workbench user-managed notebooks to generate the report.
- BUse the Google Data Studio to create the report.
- CUse the output from TensorFlow Data Validation on Dataflow to generate the report.
- DUse Dataprep to create the report.
How the community answered
(60 responses)- A72% (43)
- B3% (2)
- C15% (9)
- D10% (6)
Explanation
While Google Data Studio (Option B) is a powerful data visualization and reporting tool, it might not provide the same level of flexibility and sophistication for statistical analyses compared to a notebook environment.
Topics
#Data Exploration#Exploratory Data Analysis (EDA)#Vertex AI Workbench#BigQuery
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