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Exam DP-100 topic 5 question 35 discussion

Actual exam question from Microsoft's DP-100
Question #: 35
Topic #: 5
[All DP-100 Questions]

You have a dataset that contains salary information for users. You plan to generate an aggregate salary report that shows average salaries by city.
Privacy of individuals must be preserved without impacting accuracy, completeness, or reliability of the data. The aggregation must be statistically consistent with the distribution of the original data. You must return an approximation of the data instead of the raw data.
You need to apply a differential privacy approach.
What should you do?

  • A. Add noise to the salary data during the analysis
  • B. Encrypt the salary data before analysis
  • C. Remove the salary data
  • D. Convert the salary data to the average column value
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

Comments

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bbigwolf
Highly Voted 2 years, 2 months ago
Should be A
upvoted 12 times
giusecozza
2 years, 2 months ago
agree. Isn'it about responsible AI?
upvoted 2 times
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GHill1982
Most Recent 9 months, 3 weeks ago
Selected Answer: A
The correct answer is A. Add noise to the salary data during the analysis.
upvoted 1 times
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ferren
1 year, 2 months ago
Bard says it is A
upvoted 1 times
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BR_CS
1 year, 2 months ago
The question in unclear. If the statistics in only there to report average per city the answer is correct when the salary column is filled with the average per city. Distribution statistics will not work anymore, though. Adding noise WILL change the data ever so slightly.
upvoted 1 times
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Tommo565
1 year, 7 months ago
Selected Answer: A
Answer is A
upvoted 1 times
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phdykd
1 year, 8 months ago
A. Add noise to the salary data during the analysis. To apply differential privacy, you need to add noise to the salary data during analysis. Adding noise is a technique to introduce randomness to the data in a way that preserves privacy while minimizing the impact on the accuracy, completeness, and reliability of the data. Differential privacy provides a formal guarantee that the data will be protected against privacy attacks. Converting the salary data to the average column value (option D) does not provide differential privacy. This option would eliminate the salary data altogether and only show the average salary by city, but it would not preserve the statistical properties of the original data or provide any privacy protection.
upvoted 3 times
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RamundiGR
1 year, 9 months ago
it should be A, because we are adding noising to be sure we mask data
upvoted 1 times
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BTAB
1 year, 10 months ago
Selected Answer: A
A. Adding noise that is consistent with the data is the correct answer.
upvoted 1 times
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michaelmorar
1 year, 10 months ago
Selected Answer: A
Encrypting or averaging don't meet the requirement.
upvoted 2 times
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roxas8569
1 year, 11 months ago
https://microsoft.github.io/azureml-ops-accelerator/4-Migrate/1-KeyAzureMLConceptsForOps.html#differential-privacy
upvoted 1 times
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PremPatrick
1 year, 11 months ago
Selected Answer: A
should be A
upvoted 1 times
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C (25%)
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