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Exam Associate Data Practitioner All Questions

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Exam Associate Data Practitioner topic 1 question 8 discussion

Actual exam question from Google's Associate Data Practitioner
Question #: 8
Topic #: 1
[All Associate Data Practitioner Questions]

You work for an ecommerce company that has a BigQuery dataset that contains customer purchase history, demographics, and website interactions. You need to build a machine learning (ML) model to predict which customers are most likely to make a purchase in the next month. You have limited engineering resources and need to minimize the ML expertise required for the solution. What should you do?

  • A. Use BigQuery ML to create a logistic regression model for purchase prediction.
  • B. Use Vertex AI Workbench to develop a custom model for purchase prediction.
  • C. Use Colab Enterprise to develop a custom model for purchase prediction.
  • D. Export the data to Cloud Storage, and use AutoML Tables to build a classification model for purchase prediction.
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Suggested Answer: A 🗳️
by n2183712847 at Feb. 27, 2025, 11:19 p.m.

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n2183712847
2 months ago
Selected Answer: A
A. Use BigQuery ML minimizes the ML Expertise required.
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