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Exam Associate Data Practitioner topic 1 question 47 discussion

Actual exam question from Google's Associate Data Practitioner
Question #: 47
Topic #: 1
[All Associate Data Practitioner Questions]

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?

  • A. 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.
  • B. Copy the storm event dataset into your BigQuery project. Use BigQuery Studio to query and visualize the data in Looker Studio.
  • C. 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.
  • D. 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.
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Suggested Answer: B 🗳️
by n2183712847 at Feb. 27, 2025, 4:15 p.m.

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ani3760
1 month, 1 week ago
Selected Answer: D
D is correct because the public datasets are continually updated and allow us to re-run immediately and see the latest information. Colab Enterprise notebooks are saved and hence we have the ability to re-run as needed. The markdown produces annotations and report text and Matplotlib provides charts and graphs.
upvoted 1 times
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n2183712847
3 months, 1 week ago
Selected Answer: B
bigquery studio + looker studio for visualization and making "reports" in looker studio.
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n2183712847
3 months, 3 weeks ago
Selected Answer: 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
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