Amazon Exam MLS-C01 Topic 3 Question 69 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 69
Topic #: 3

A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the Specialist do to integrate the Spark application with SageMaker? (Select THREE)

ADownload the AWS SDK for the Spark environment

BInstall the SageMaker Spark library in the Spark environment.

CUse the appropriate estimator from the SageMaker Spark Library to train a model.

DCompress the training data into a ZIP file and upload it to a pre-defined Amazon S3 bucket.

EUse the sageMakerModel. transform method to get inferences from the model hosted in SageMaker

FConvert the DataFrame object to a CSV file, and use the CSV file as input for obtaining inferences from SageMaker.

Show Suggested Answer

Suggested Answer: A

by Rebecka at Jan 06, 2023, 03:27 AM

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Beckie

21 hours ago

I agree with Trina, using the appropriate estimator from the SageMaker Spark Library to train a model is also important.

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Trina

3 days ago

I think the Specialist should install the SageMaker Spark library in the Spark environment.

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