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

1 months 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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Galen

4 days ago

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

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Juliana

14 days ago

A) Use 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.

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Xochitl

1 months 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

1 months 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

1 months 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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Anglea

22 hours ago

Yes, that approach seems efficient. It's important to have accurate labeling for the ML model to make the right decisions for enhancing security.

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Alease

2 days ago

I think using Amazon SageMaker Ground Truth to label each record as successful or failed access attempts is a good idea. It can help train a binary classification model effectively.

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Latrice

18 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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Louvenia

2 months ago

I think Option B is the way to go. Using the IP Insights algorithm with scheduled updates and retraining is a smart approach to adapt to changes in user behavior over time.

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Chantell

1 months ago

I think Option A could also work well. Using the factorization machines algorithm for binary classification could provide accurate results for identifying potential security risks.

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Nettie

2 months ago

I agree, Option B seems like a practical choice. Updating and retraining the model regularly will help keep the security measures up to date.

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Arthur

2 months ago

That's a good point, but I still think option A is more suitable for this scenario.

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Audry

2 months ago

I disagree, I believe option C is better as it combines labeling with the IP Insights algorithm for classification.

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Arthur

3 months ago

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

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