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Exam AWS Certified Machine Learning - Specialty topic 1 question 299 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 299
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A company deployed a machine learning (ML) model on the company website to predict real estate prices. Several months after deployment, an ML engineer notices that the accuracy of the model has gradually decreased.

The ML engineer needs to improve the accuracy of the model. The engineer also needs to receive notifications for any future performance issues.

Which solution will meet these requirements?

  • A. Perform incremental training to update the model. Activate Amazon SageMaker Model Monitor to detect model performance issues and to send notifications.
  • B. Use Amazon SageMaker Model Governance. Configure Model Governance to automatically adjust model hyperparameters. Create a performance threshold alarm in Amazon CloudWatch to send notifications.
  • C. Use Amazon SageMaker Debugger with appropriate thresholds. Configure Debugger to send Amazon CloudWatch alarms to alert the team. Retrain the model by using only data from the previous several months.
  • D. Use only data from the previous several months to perform incremental training to update the model. Use Amazon SageMaker Model Monitor to detect model performance issues and to send notifications.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by delfoxete at Feb. 6, 2024, 10 p.m.
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nick3332
4 weeks ago
Selected Answer: D
Avoids the model being influenced by outdated patterns that no longer apply. For example, if we enter a recession in a few months, we should not be using pricing data from last year.
upvoted 1 times
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f3a4b7c
11 months, 1 week ago
Selected Answer: D
Why not D?
upvoted 1 times
rdiaz
9 months ago
ChatGPT: While option D includes the use of Amazon SageMaker Model Monitor, it suggests using only the most recent data for incremental training. This could result in the loss of valuable information from older data, which might still be relevant. Incremental training should ideally update the model with new data while retaining useful insights from the entire dataset, not just the recent months.
upvoted 1 times
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AIWave
1 year, 1 month ago
Selected Answer: A
Incremental training involves updating the model with new data over time. Amazon SageMaker Model Monitor is a suitable choice for monitoring model performance. It can detect drift and anomalies in real-time predictions and send notifications.
upvoted 2 times
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Adzz
1 year, 2 months ago
Selected Answer: A
Option A makes more sense in this case
upvoted 2 times
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delfoxete
1 year, 2 months ago
Selected Answer: A
A cover all the requirements
upvoted 2 times
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