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AWS-Certified-Machine-Learning-Specialty-MLS-C01 – AWS Certified Machine Learning - Specialty (MLS-C01)

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Showing 10–12 of 15 questions

Question 10

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?

Select an option, then click Submit answer.

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    Add an S3 bucket policy allowing GetObject, PutObject, and ListBucket permissions to the Amazon SageMaker notebook ARN as principal.
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    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.
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    Attach the policy to the IAM role associated with the notebook that allows GetObject, PutObject, and ListBucket operations to the specific S3 bucket.
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    Use a script in a lifecycle configuration to configure the AWS CLI on the instance with an access key ID and secret.
Question 11

A company is building a line-counting application for use in a quick-service restaurant. The company wants to use video cameras pointed at the line of customers at a given register to measure how many people are in line and deliver notifications to managers if the line grows too long. The restaurant locations have limited bandwidth for connections to external services and cannot accommodate multiple video streams without impacting other operations.

Which solution should a machine learning specialist implement to meet these requirements?

Select an option, then click Submit answer.

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    Install cameras compatible with Amazon Kinesis Video Streams to stream the data to AWS over the restaurant's existing internet connection. Write an AWS Lambda function to take an image and send it to Amazon Rekognition to count the number of faces in the image. Send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long.
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    Deploy AWS DeepLens cameras in the restaurant to capture video. Enable Amazon Rekognition on the AWS DeepLens device, and use it to trigger a local AWS Lambda function when a person is recognized. Use the Lambda function to send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long.
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    Build a custom model in Amazon SageMaker to recognize the number of people in an image. Install cameras compatible with Amazon Kinesis Video Streams in the restaurant. Write an AWS Lambda function to take an image. Use the SageMaker endpoint to call the model to count people. Send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long.
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    Build a custom model in Amazon SageMaker to recognize the number of people in an image. Deploy AWS DeepLens cameras in the restaurant. Deploy the model to the cameras. Deploy an AWS Lambda function to the cameras to use the model to count people and send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long.
Question 12

A machine learning (ML) specialist is using Amazon SageMaker hyperparameter optimization (HPO) to improve a model’s accuracy. The learning rate parameter is specified in the following HPO configuration:

C:\Users\Admin\Desktop\Data\Odt data\Untitled.jpg

During the results analysis, the ML specialist determines that most of the training jobs had a learning rate between 0.01 and 0.1. The best result had a learning rate of less than 0.01. Training jobs need to run regularly over a changing dataset. The ML specialist needs to find a tuning mechanism that uses different learning rates more evenly from the provided range between MinValue and MaxValue.

Which solution provides the MOST accurate result?

A-

Modify the HPO configuration as follows:

C:\Users\Admin\Desktop\Data\Odt data\Untitled.jpg

Select the most accurate hyperparameter configuration form this HPO job.

B-

Run three different HPO jobs that use different learning rates form the following intervals for MinValue and MaxValue while using the same number of training jobs for each HPO job:

[0.01, 0.1]

[0.001, 0.01]

[0.0001, 0.001]

Select the most accurate hyperparameter configuration form these three HPO jobs.

C-

Modify the HPO configuration as follows:

C:\Users\Admin\Desktop\Data\Odt data\Untitled.jpg

Select the most accurate hyperparameter configuration form this training job.

D-

Run three different HPO jobs that use different learning rates form the following intervals for MinValue and MaxValue. Divide the number of training jobs for each HPO job by three:

[0.01, 0.1]

[0.001, 0.01]

[0.0001, 0.001]

Select the most accurate hyperparameter configuration form these three HPO jobs.

 

Select an option, then click Submit answer.

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    Option A
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    Option B
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    Option C
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    Option D