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Amazon Web Services MLS-C01 Practice Test Questions Answers

Exam Code: MLS-C01 (Updated 330 Q&As with Explanation)
Exam Name: AWS Certified Machine Learning - Specialty
Last Update: 15-Jul-2025
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Questions Include:

  • Single Choice: 276 Q&A's
  • Multiple Choice: 54 Q&A's

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    Total Questions: 417
    Updated: 06-Jul-2025

    MLS-C01 Questions and Answers

    Question # 1

    A machine learning (ML) specialist uploads a dataset to an Amazon S3 bucket that is protected by server-side encryption with AWS KMS keys (SSE-KMS). The ML specialist needs to ensure that an Amazon SageMaker notebook instance can read the dataset that is in Amazon S3.

    Which solution will meet these requirements?

    A.

    Define security groups to allow all HTTP inbound and outbound traffic. Assign the security groups to the SageMaker notebook instance.

    B.

    Configure the SageMaker notebook instance to have access to the VPC. Grant permission in the AWS Key Management Service (AWS KMS) key policy to the notebook's VPC.

    C.

    Assign an IAM role that provides S3 read access for the dataset to the SageMaker notebook. Grant permission in the KMS key policy to the 1AM role.

    D.

    Assign the same KMS key that encrypts the data in Amazon S3 to the SageMaker notebook instance.

    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 )

    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 data scientist is using an Amazon SageMaker notebook instance and needs to securely access data stored in a specific Amazon S3 bucket.

    How should the data scientist accomplish this?

    A.

    Add an S3 bucket policy allowing GetObject, PutObject, and ListBucket permissions to the Amazon SageMaker notebook ARN as principal.

    B.

    Encrypt the objects in the S3 bucket with a custom AWS Key Management Service (AWS KMS) key that only the notebook owner has access to.

    C.

    Attach the policy to the IAM role associated with the notebook that allows GetObject, PutObject, and ListBucket operations to the specific S3 bucket.

    D.

    Use a script in a lifecycle configuration to configure the AWS CLI on the instance with an access key ID and secret.

    Question # 4

    A company wants to use machine learning (ML) to improve its customer churn prediction model. The company stores data in an Amazon Redshift data warehouse.

    A data science team wants to use Amazon Redshift machine learning (Amazon Redshift ML) to build a model and run predictions for new data directly within the data warehouse.

    Which combination of steps should the company take to use Amazon Redshift ML to meet these requirements? (Select THREE.)

    A.

    Define the feature variables and target variable for the churn prediction model.

    B.

    Use the SQL EXPLAIN_MODEL function to run predictions.

    C.

    Write a CREATE MODEL SQL statement to create a model.

    D.

    Use Amazon Redshift Spectrum to train the model.

    E.

    Manually export the training data to Amazon S3.

    F.

    Use the SQL prediction function to run predictions,

    Question # 5

    A company has raw user and transaction data stored in AmazonS3 a MySQL database, and Amazon RedShift A Data Scientist needs to perform an analysis by joining the three datasets from Amazon S3, MySQL, and Amazon RedShift, and then calculating the average-of a few selected columns from the joined data

    Which AWS service should the Data Scientist use?

    A.

    Amazon Athena

    B.

    Amazon Redshift Spectrum

    C.

    AWS Glue

    D.

    Amazon QuickSight

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