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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 1 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 1
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

  • A. Code for model training
  • B. Partial dependence plots (PDPs)
  • C. Sample data for training
  • D. Model convergence tables
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Suggested Answer: B 🗳️
by p2pcerts at Nov. 3, 2024, 8:52 a.m.
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jove
Highly Voted 3 months, 1 week ago
Selected Answer: B
B. Partial Dependence Plots (PDPs) Explanation: Partial Dependence Plots (PDPs) are useful tools for understanding the relationship between specific features and the model's predictions, making it easier to see how changes in input variables affect the forecast. PDPs are particularly helpful for stakeholders because they visually show the impact of individual features on predictions without requiring a deep understanding of the model's inner workings.
upvoted 8 times
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p2pcerts
Highly Voted 3 months, 1 week ago
B. Partial dependence plots (PDPs)
upvoted 5 times
Seraphina1
2 months, 2 weeks ago
Nice take on PDPs! p2pcerts looks like a great resource too!
upvoted 1 times
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swat2024
Most Recent 9 hours, 36 minutes ago
Selected Answer: B
anyone able to provide all questions. i can see only first 32 questions
upvoted 1 times
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Jessiii
1 day, 15 hours ago
Selected Answer: B
PDPs help in explaining the relationship between the features and the model’s predictions, offering transparency into how the model makes decisions, which is critical for explainability to stakeholders. PDPs show how changes in a feature impact the model's output, thus helping to provide an understanding of the model's behavior.
upvoted 1 times
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tylercaleb054
1 day, 22 hours ago
Selected Answer: B
B. Partial Dependence Plots (PDPs) Explanation: Partial Dependence Plots (PDPs) are useful tools for understanding the relationship between specific features and the model's predictions, making it easier to see how changes in input variables affect the forecast. PDPs are particularly helpful for stakeholders because they visually show the impact of individual features on predictions without requiring a deep understanding of the model's inner workings. A big thank you to Certs4Future for helping me pass my aif-c01 exam on the first attempt!
upvoted 1 times
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preetgoswami
6 days, 4 hours ago
Selected Answer: B
B. Partial dependence plots (PDPs)
upvoted 1 times
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kopper2019
4 weeks, 1 day ago
Selected Answer: B
AWS certification exams are introducing new question types, including ordering, matching, and case study questions, alongside traditional multiple choice and multiple response formats. The ordering type requires arranging selected responses in the correct sequence, while matching questions involve linking statements to prompts. Case studies recycle a scenario across multiple questions, allowing candidates to save time by understanding the context once. Each question is evaluated independently, meaning it's crucial to answer all parts correctly to receive credit.
upvoted 1 times
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Owolabi19
1 month ago
Selected Answer: B
Answer:B. Partial dependence plots (PDPs)
upvoted 1 times
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sacha12
3 months, 1 week ago
I think B is correct
upvoted 1 times
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