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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 187 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 187
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A retail company stores customer data in an Amazon S3 bucket. Some of the customer data contains personally identifiable information (PII) about customers. The company must not share PII data with business partners.

A data engineer must determine whether a dataset contains PII before making objects in the dataset available to business partners.

Which solution will meet this requirement with the LEAST manual intervention?

  • A. Configure the S3 bucket and S3 objects to allow access to Amazon Macie. Use automated sensitive data discovery in Macie.
  • B. Configure AWS CloudTrail to monitor S3 PUT operations. Inspect the CloudTrail trails to identify operations that save PII.
  • C. Create an AWS Lambda function to identify PII in S3 objects. Schedule the function to run periodically.
  • D. Create a table in AWS Glue Data Catalog. Write custom SQL queries to identify PII in the table. Use Amazon Athena to run the queries.
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Suggested Answer: A 🗳️
by kupo777 at Nov. 4, 2024, 11:30 p.m.
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michele_scar
1 week ago
Selected Answer: A
PII -> Macie
upvoted 1 times
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kupo777
2 weeks, 6 days ago
Correct Answer: A Amazon Macie is designed for automated sensitive data discovery, classification, and protection. It can scan your S3 buckets to identify and classify PII using machine learning and pattern matching, which means you don't need to manually inspect data or write custom functions. By configuring Macie to access the S3 bucket, it will continuously monitor and automatically alert you to any PII detected, significantly reducing the need for manual intervention.
upvoted 1 times
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