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New Release MLS-C01 AWS Certified Specialty Questions

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Total 330 questions

AWS Certified Machine Learning - Specialty Questions and Answers

Question 9

A company uses camera images of the tops of items displayed on store shelves to determine which items

were removed and which ones still remain. After several hours of data labeling, the company has a total of

1,000 hand-labeled images covering 10 distinct items. The training results were poor.

Which machine learning approach fulfills the company’s long-term needs?

Options:

A.

Convert the images to grayscale and retrain the model

B.

Reduce the number of distinct items from 10 to 2, build the model, and iterate

C.

Attach different colored labels to each item, take the images again, and build the model

D.

Augment training data for each item using image variants like inversions and translations, build the model, and iterate.

Question 10

A wildlife research company has a set of images of lions and cheetahs. The company created a dataset of the images. The company labeled each image with a binary label that indicates whether an image contains a lion or cheetah. The company wants to train a model to identify whether new images contain a lion or cheetah.

.... Dh Amazon SageMaker algorithm will meet this requirement?

Options:

A.

XGBoost

B.

Image Classification - TensorFlow

C.

Object Detection - TensorFlow

D.

Semantic segmentation - MXNet

Question 11

A Machine Learning Specialist is using Amazon Sage Maker to host a model for a highly available customer-facing application.

The Specialist has trained a new version of the model, validated it with historical data, and now wants to deploy it to production To limit any risk of a negative customer experience, the Specialist wants to be able to monitor the model and roll it back, if needed

What is the SIMPLEST approach with the LEAST risk to deploy the model and roll it back, if needed?

Options:

A.

Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by updating the client configuration. Revert traffic to the last version if the model does not perform as expected.

B.

Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by using a load balancer Revert traffic to the last version if the model does not perform as expected.

C.

Update the existing SageMaker endpoint to use a new configuration that is weighted to send 5% of the traffic to the new variant. Revert traffic to the last version by resetting the weights if the model does not perform as expected.

D.

Update the existing SageMaker endpoint to use a new configuration that is weighted to send 100% of the traffic to the new variant Revert traffic to the last version by resetting the weights if the model does not perform as expected.

Question 12

A data scientist is designing a repository that will contain many images of vehicles. The repository must scale automatically in size to store new images every day. The repository must support versioning of the images. The data scientist must implement a solution that maintains multiple immediately accessible copies of the data in different AWS Regions.

Which solution will meet these requirements?

Options:

A.

Amazon S3 with S3 Cross-Region Replication (CRR)

B.

Amazon Elastic Block Store (Amazon EBS) with snapshots that are shared in a secondary Region

C.

Amazon Elastic File System (Amazon EFS) Standard storage that is configured with Regional availability

D.

AWS Storage Gateway Volume Gateway

Page: 3 / 24
Total 330 questions