Amazon Exam MLS-C01 Topic 10 Question 78 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 78
Topic #: 10

A company offers an online shopping service to its customers. The company wants to enhance the site's security by requesting additional information when customers access the site from locations that are different from their normal location. The company wants to update the process to call a machine learning (ML) model to determine when additional information should be requested.

The company has several terabytes of data from its existing ecommerce web servers containing the source IP addresses for each request made to the web server. For authenticated requests, the records also contain the login name of the requesting user.

Which approach should an ML specialist take to implement the new security feature in the web application?

AUse Amazon SageMaker Ground Truth to label each record as either a successful or failed access attempt. Use Amazon SageMaker to train a binary classification model using the factorization machines (FM) algorithm.

BUse Amazon SageMaker to train a model using the IP Insights algorithm. Schedule updates and retraining of the model using new log data nightly.

CUse Amazon SageMaker Ground Truth to label each record as either a successful or failed access attempt. Use Amazon SageMaker to train a binary classification model using the IP Insights algorithm.

DUse Amazon SageMaker to train a model using the Object2Vec algorithm. Schedule updates and retraining of the model using new log data nightly.

Show Suggested Answer

Suggested Answer: B, D

https://www.redhat.com/en/topics/devops/what-is-blue-green-deployment

by Willow at Aug 07, 2023, 12:43 AM

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Ligia

24 days ago

Wait, we're talking about security, not online shopping recommendations. Can we get a model that just blocks all the hackers and leaves the good customers alone? Simple is sometimes best, you know.

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Xochitl

26 days ago

Option D with Object2Vec? Sounds like someone is trying to show off their machine learning chops. Let's keep it simple, folks. I'm with Louvenia on Option B.

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Markus

27 days ago

All these options sound pretty technical, but I'm leaning towards Option B. Automated retraining is key to keeping the model up-to-date. Now, where's the 'cheat sheet' when you need it?

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Jonell

29 days ago

Option C looks promising, but I wonder if the Ground Truth labeling process will be time-consuming and labor-intensive. Hmm, something to consider.

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Latrice

3 days ago

Option C looks promising, but I wonder if the Ground Truth labeling process will be time-consuming and labor-intensive. Hmm, something to consider.

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2 months ago

I think option A is the best approach because it uses the factorization machines algorithm for binary classification.

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