Google Cloud Associate Data Practitioner — Question 58

Your team needs to analyze large datasets stored in BigQuery to identify trends in user behavior. The analysis will involve complex statistical calculations, Python packages, and visualizations. You need to recommend a managed collaborative environment to develop and share the analysis. What should you recommend?

Answer options

• A. Create a Colab Enterprise notebook and connect the notebook to BigQuery. Share the notebook with your team. Analyze the data and generate visualizations in Colab Enterprise.
• B. Create a statistical model by using BigQuery ML. Share the query with your team. Analyze the data and generate visualizations in Looker Studio.
• C. Create a Looker Studio dashboard and connect the dashboard to BigQuery. Share the dashboard with your team. Analyze the data and generate visualizations in Looker Studio.
• D. Connect Google Sheets to BigQuery by using Connected Sheets. Share the Google Sheet with your team. Analyze the data and generate visualizations in Gooqle Sheets.

Correct answer: A

Explanation

The correct answer is A because Colab Enterprise allows for collaborative development with Python, making it ideal for complex statistical analysis and visualizations directly from BigQuery. Options B and C suggest using BigQuery ML and Looker Studio, which are not as collaborative for Python-based analysis. Option D, while useful for simpler analyses, lacks the advanced capabilities needed for complex calculations and visualizations.