Topic 1 Question 47
You work for a home insurance company. You are frequently asked to create and save risk reports with charts for specific areas using a publicly available storm event dataset. You want to be able to quickly create and re-run risk reports when new data becomes available. What should you do?
Export the storm event dataset as a CSV file. Import the file to Google Sheets, and use cell data in the worksheets to create charts.
Copy the storm event dataset into your BigQuery project. Use BigQuery Studio to query and visualize the data in Looker Studio.
Reference and query the storm event dataset using SQL in BigQuery Studio. Export the results to Google Sheets, and use cell data in the worksheets to create charts.
Reference and query the storm event dataset using SQL in a Colab Enterprise notebook. Display the table results and document with Markdown, and use Matplotlib to create charts.
ユーザの投票
コメント(2)
- 正解だと思う選択肢: B
While Option D offers flexibility and control, it's more technical and less focused on quick and easy report generation for a business user. Options A and C are too manual and less scalable for the stated requirements of frequent report generation with new data.
Final Answer: B
👍 1n21837128472025/02/27 - 正解だと思う選択肢: B
bigquery studio + looker studio for visualization and making "reports" in looker studio.
👍 1n21837128472025/03/08
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