nerdexam
MicrosoftMicrosoft

DP-100 · Question #416

DP-100 Question #416: Real Exam Question with Answer & Explanation

The correct answer is A: between 0 and 1. {"question_number": 6, "correct_answer": "A", "explanation": "In differential privacy, the epsilon (ε) parameter controls the privacy-utility tradeoff: a lower epsilon value means stronger privacy guarantees because more noise is added to the data, while a higher epsilon provides

Design and prepare a machine learning solution

Question

You use differential privacy to ensure your reports are private. The calculated value of the epsilon for your data is 1.8. You need to modify your data to ensure your reports are private. Which epsilon value should you accept for your data?

Options

  • Abetween 0 and 1
  • Bbetween 2 and 3
  • Cbetween 3 and 10
  • Dmore than 10

Explanation

{"question_number": 6, "correct_answer": "A", "explanation": "In differential privacy, the epsilon (ε) parameter controls the privacy-utility tradeoff: a lower epsilon value means stronger privacy guarantees because more noise is added to the data, while a higher epsilon provides less privacy but higher data utility. The calculated epsilon of 1.8 represents the current privacy cost. To ensure reports are sufficiently private, you must accept an epsilon value lower than or equal to 1.8-specifically, a value between 0 and 1 provides stronger privacy protection than the calculated 1.8. Choosing epsilon values of 2–3, 3–10, or greater than 10 would all represent weaker privacy guarantees than the baseline, making the resulting reports less private rather than more private. The closer epsilon is to 0, the stronger the privacy guarantee.", "generated_by": "claude-sonnet", "llm_judge_score": 4}

Topics

#Differential Privacy#Epsilon parameter#Data privacy#Responsible AI

Community Discussion

No community discussion yet for this question.

Full DP-100 PracticeBrowse All DP-100 Questions