ExamTopics Logo
Mail Us[email protected]
Menu
Amazon Discussions
exam questions

Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

View all questions & answers for the AWS Certified Machine Learning Engineer - Associate MLA-C01 exam
Go to Exam

Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 77 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 77
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

An ML engineer normalized training data by using min-max normalization in AWS Glue DataBrew. The ML engineer must normalize the production inference data in the same way as the training data before passing the production inference data to the model for predictions.
Which solution will meet this requirement?

  • A. Apply statistics from a well-known dataset to normalize the production samples.
  • B. Keep the min-max normalization statistics from the training set. Use these values to normalize the production samples.
  • C. Calculate a new set of min-max normalization statistics from a batch of production samples. Use these values to normalize all the production samples.
  • D. Calculate a new set of min-max normalization statistics from each production sample. Use these values to normalize all the production samples.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by GiorgioGss at Nov. 28, 2024, 5:29 p.m.
Disclaimers:
  • - ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
  • - Trademarks, certification & product names are used for reference only and belong to Amazon.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
Saransundar
3 months ago
Selected Answer: B
Models are sensitive to data distribution. Consistency needed for accurate predictions and hence Option-B keeping the same min-max normalization statistics will help; Option C & D affect model performance; Option-A introduces inconsistency
upvoted 2 times
...
GiorgioGss
3 months ago
Selected Answer: B
To ensure reliable and accurate model predictions, it's essential to use the same min-max normalization statistics from the training data.
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago