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Exam AWS Certified Machine Learning - Specialty topic 1 question 140 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 140
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

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?

  • 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.
  • 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.
  • C. 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 IP Insights algorithm.
  • D. Use Amazon SageMaker to train a model using the Object2Vec algorithm. Schedule updates and retraining of the model using new log data nightly.
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Suggested Answer: B 🗳️
by knightknt at April 22, 2022, 1:56 a.m.
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knightknt
Highly Voted 2 years, 6 months ago
B? because ip insights algorithm is unsupervised learning that don't need label
upvoted 12 times
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spidy20
Highly Voted 2 years, 2 months ago
Selected Answer: B
Answer should be B
upvoted 5 times
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delfoxete
Most Recent 9 months ago
Selected Answer: B
Amazon SageMaker IP Insights is an unsupervised learning algorithm that learns the usage patterns for IPv4 addresses. It is designed to capture associations between IPv4 addresses and various entities, such as user IDs or account numbers. You can use it to identify a user attempting to log into a web service from an anomalous IP address, for example. Or you can use it to identify an account that is attempting to create computing resources from an unusual IP address. Trained IP Insight models can be hosted at an endpoint for making real-time predictions or used for processing batch transforms.
upvoted 1 times
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Morsa
2 years, 3 months ago
Selected Answer: B
Agree with the comments beliw
upvoted 2 times
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tgaos
2 years, 5 months ago
B. https://docs.aws.amazon.com/sagemaker/latest/dg/ip-insights.html
upvoted 3 times
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spaceexplorer
2 years, 6 months ago
Selected Answer: B
B; IP Insights for IP address anomaly detection
upvoted 5 times
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