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Amazon Web Services MLS-C01 Exam With Confidence Using Practice Dumps

Exam Code:
MLS-C01
Exam Name:
AWS Certified Machine Learning - Specialty
Certification:
Questions:
307
Last Updated:
Apr 3, 2025
Exam Status:
Stable
Amazon Web Services MLS-C01

MLS-C01: AWS Certified Specialty Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Machine Learning - Specialty Questions and Answers

Question 1

A data engineer at a bank is evaluating a new tabular dataset that includes customer data. The data engineer will use the customer data to create a new model to predict customer behavior. After creating a correlation matrix for the variables, the data engineer notices that many of the 100 features are highly correlated with each other.

Which steps should the data engineer take to address this issue? (Choose two.)

Options:

A.

Use a linear-based algorithm to train the model.

B.

Apply principal component analysis (PCA).

C.

Remove a portion of highly correlated features from the dataset.

D.

Apply min-max feature scaling to the dataset.

E.

Apply one-hot encoding category-based variables.

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Question 2

A machine learning (ML) specialist is using the Amazon SageMaker DeepAR forecasting algorithm to train a model on CPU-based Amazon EC2 On-Demand instances. The model currently takes multiple hours to train. The ML specialist wants to decrease the training time of the model.

Which approaches will meet this requirement7 (SELECT TWO )

Options:

A.

Replace On-Demand Instances with Spot Instances

B.

Configure model auto scaling dynamically to adjust the number of instances automatically.

C.

Replace CPU-based EC2 instances with GPU-based EC2 instances.

D.

Use multiple training instances.

E.

Use a pre-trained version of the model. Run incremental training.

Question 3

A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The Specialist

implements the algorithm in a Docker container supported by Amazon SageMaker.

How should the Specialist package the Docker container so that Amazon SageMaker can launch the training

correctly?

Options:

A.

Modify the bash_profile file in the container and add a bash command to start the training program

B.

Use CMD config in the Dockerfile to add the training program as a CMD of the image

C.

Configure the training program as an ENTRYPOINT named train

D.

Copy the training program to directory /opt/ml/train