Cloud Digital Leader Practice Question: Google Cloud products, services, and solutions

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  Vertex AI Workbench

  Why it's wrong here

  Vertex AI Workbench is a managed Jupyter notebook environment designed for data scientists and ML engineers to run interactive code, train models, and perform experiment tracking. It is not a business intelligence tool: it lacks native drag-and-drop dashboarding, scheduled report distribution, and no-code visualization widgets that non-technical stakeholders can consume. Although notebooks can render charts, those visuals are not shareable as live, refreshable BI reports with governed access controls. For a BI dashboard requirement, this service targets a technical audience and a different stage of the data lifecycle.

• ✓

  Looker Studio (formerly Data Studio)

  Why this is correct

  Looker Studio (formerly Data Studio) is Google's free business intelligence and data visualization platform with first-class native BigQuery connectors, enabling analysts to build interactive, shareable dashboards without writing web application code. Reports are stored in Google Cloud and can be shared via a simple link with view-only access, so stakeholders do not need a GCP account, a BigQuery project, or any technical skills. The tool supports scheduled data refresh, interactive filters, and drag-and-drop charting, making it the ideal choice for non-technical consumers. This directly matches the requirement for a BI dashboarding tool with integrated BigQuery connectivity.

• ✗

  Cloud Dataprep by Trifacta

  Why it's wrong here

  Cloud Dataprep by Trifacta is a visual, serverless data preparation service used to explore, clean, and transform raw data into a structured format suitable for analysis. It is a data wrangling tool that builds transformation pipelines on datasets, not a presentation layer for business metrics—it has no dashboard canvas, report layout, or shareable visual analytics. Its output feeds downstream systems like BigQuery and Looker Studio, but it does not replace the BI dashboarding component. Thus it operates upstream of the reporting need and is not the correct tool for sharing insights with non-technical stakeholders.

• ✗

  BigQuery Studio

  Why it's wrong here

  BigQuery Studio provides an integrated SQL editor and notebook experience within BigQuery, enabling analysts to run queries, explore data, and create lightweight inline visualizations. However, these visuals are tied to the query session or notebook and are not built to serve as persistent, interactive dashboards for a broad business audience. It lacks the collaborative reporting features of a dedicated BI tool, such as scheduled email delivery, live link sharing to non-authenticated stakeholders, and drag-and-drop report composition. While it supports ad hoc exploration, it does not meet the need for a shareable dashboard for non-technical users.

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