Amazon MLS-C01 Dumps PDF

March, 2024 MLS-C01 Practice Questions

Make success possible with our Latest and Unique AWS Certified Specialty MLS-C01 Practice Exam!


Name: AWS Certified Machine Learning - Specialty
Exam Code: MLS-C01
Certification: AWS Certified Specialty
Vendor: Amazon
Total Questions: 281
Last Updated: February 24, 2024
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Amazon MLS-C01 Sample Questions

Sample Question 1

A Data Science team within a large company uses Amazon SageMaker notebooks to access data stored in Amazon S3 buckets. The IT Security team is concerned that internetenabled notebook instances create a security vulnerability where malicious code running on the instances could compromise data privacy. The company mandates that all instances stay within a secured VPC with no internet access, and data communication traffic must stay within the AWS network.  How should the Data Science team configure the notebook instance placement to meet these requirements?

A. Associate the Amazon SageMaker notebook with a private subnet in a VPC. Place the Amazon SageMaker endpoint and S3 buckets within the same VPC. 
B. Associate the Amazon SageMaker notebook with a private subnet in a VPC. Use 1AM policies to grant access to Amazon S3 and Amazon SageMaker. 
C. Associate the Amazon SageMaker notebook with a private subnet in a VPC. Ensure the VPC has S3 VPC endpoints and Amazon SageMaker VPC endpoints attached to it. 
D. Associate the Amazon SageMaker notebook with a private subnet in a VPC. Ensure the VPC has a NAT gateway and an associated security group allowing only outbound connections to Amazon S3 and Amazon SageMaker


Sample Question 2

A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.  Which of the following methods should the Specialist consider using to correct this? (Select THREE.)

A. Decrease regularization.
B. Increase regularization. 
C. Increase dropout.
D. Decrease dropout.
E. Increase feature combinations.
F. Decrease feature combinations.


Sample Question 3

A Machine Learning Specialist works for a credit card processing company and needs to predict which transactions may be fraudulent in near-real time. Specifically, the Specialist must train a model that returns the probability that a given transaction may be fraudulent  How should the Specialist frame this business problem'?

A. Streaming classification
B. Binary classification
C. Multi-category classification
D. Regression classification


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