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Total 322 questions

AWS Certified Machine Learning - Specialty Questions and Answers

Question 61

A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing. The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.

What option can the Specialist use to determine whether it is overestimating or underestimating the target value?

Options:

A.

Root Mean Square Error (RMSE)

B.

Residual plots

C.

Area under the curve

D.

Confusion matrix

Question 62

When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Select THREE.)

Options:

A.

The training channel identifying the location of training data on an Amazon S3 bucket.

B.

The validation channel identifying the location of validation data on an Amazon S3 bucket.

C.

The 1AM role that Amazon SageMaker can assume to perform tasks on behalf of the users.

D.

Hyperparameters in a JSON array as documented for the algorithm used.

E.

The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.

F.

The output path specifying where on an Amazon S3 bucket the trained model will persist.

Question 63

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 64

A media company is building a computer vision model to analyze images that are on social media. The model consists of CNNs that the company trained by using images that the company stores in Amazon S3. The company used an Amazon SageMaker training job in File mode with a single Amazon EC2 On-Demand Instance.

Every day, the company updates the model by using about 10,000 images that the company has collected in the last 24 hours. The company configures training with only one epoch. The company wants to speed up training and lower costs without the need to make any code changes.

Which solution will meet these requirements?

Options:

A.

Instead of File mode, configure the SageMaker training job to use Pipe mode. Ingest the data from a pipe.

B.

Instead Of File mode, configure the SageMaker training job to use FastFile mode with no Other changes.

C.

Instead Of On-Demand Instances, configure the SageMaker training job to use Spot Instances. Make no Other changes.

D.

Instead Of On-Demand Instances, configure the SageMaker training job to use Spot Instances. Implement model checkpoints.

Page: 16 / 23
Total 322 questions