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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 300 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 300
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You work for a bank. You need to train a model by using unstructured data stored in Cloud Storage that predicts whether credit card transactions are fraudulent. The data needs to be converted to a structured format to facilitate analysis in BigQuery. Company policy requires that data containing personally identifiable information (PII) remain in Cloud Storage. You need to implement a scalable solution that preserves the data’s value for analysis. What should you do?

  • A. Use BigQuery’s authorized views and column-level access controls to restrict access to PII within the dataset.
  • B. Use the DLP API to de-identify the sensitive data before loading it into BigQuery.
  • C. Store the unstructured data in a separate PII-compliant BigQuery database.
  • D. Remove the sensitive data from the files manually before loading them into BigQuery.
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Suggested Answer: B 🗳️

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CassiniExam
2 months ago
Selected Answer: B
B. This is the most effective and scalable solution. The DLP (Data Loss Prevention) API is designed to identify and transform sensitive data.
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