A Machine Learning team runs its own training algorithm on Amazon SageMaker. The training algorithm requires external assets. The team needs to submit both its own algorithm code and…

The correct answer is C. Amazon ECR E. Amazon S3. For Location of inference image, type the path to the image that contains your inference code. The image must be stored as a Docker container in Amazon ECR. For Location of model data artifacts, type the location in S3 where your model artifacts are stored…

Machine Learning Implementation and Operations

Question

A Machine Learning team runs its own training algorithm on Amazon SageMaker. The training algorithm requires external assets. The team needs to submit both its own algorithm code and algorithm-specific parameters to Amazon SageMaker. What combination of services should the team use to build a custom algorithm in Amazon SageMaker? (Choose two.)

Options

AAWS Secrets Manager
BAWS CodeStar
CAmazon ECR
DAmazon ECS
EAmazon S3

How the community answered

(34 responses)

A
12% (4)
B
9% (3)
C
76% (26)
D
3% (1)

Explanation

For Location of inference image, type the path to the image that contains your inference code. The image must be stored as a Docker container in Amazon ECR. For Location of model data artifacts, type the location in S3 where your model artifacts are stored. https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-mkt-create-model-package.html

Topics

#Amazon SageMaker#Custom Algorithms#Containerization#Data Storage

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