MLS-C01 · Question #362
MLS-C01 Question #362: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #362. The question stem and answer options stay visible for context.
Question
A bank has collected customer data for 10 years in CSV format. The bank stores the data in an on-premises server. A data science team wants to use Amazon SageMaker to build and train a machine learning (ML) model to predict churn probability. The team will use the historical data. The data scientists want to perform data transformations quickly and to generate data insights before the team builds a model for production. Which solution will meet these requirements with the LEAST development effort?
Options
- AUpload the data into the SageMaker Data Wrangler console directly. Perform data transformations
- BUpload the data into an Amazon S3 bucket. Allow SageMaker to access the data that is in the
- CUpload the data into the SageMaker Data Wrangler console directly. Allow SageMaker and
- DUpload the data into an Amazon S3 bucket. Allow SageMaker to access the data that is in the
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.