You work as a machine learning specialist for a manufacturing plant where you are attempting to use supervised learning to train assembly line image recognition to categorize malformed parts. You have engineered your data and produced a CSV file and placed it on S3.
Which of the following input data channel specifications are correct for your data? (Select TWO)

Answer options:

A.Metadata Content-Type is identified as text/csv
B.Metadata Content-Type is identified as text/csv;label_size=0
C.Target value should be in the first column with no header
D.Target value should be in the last column with no header
E.Target value should be in the last column with a header
F.Target value should be in the first column with a header

Answers: A and C
Option A is correct. The Content-Type of text/csv without specifying a label_size is used when you have target data, usually in column one, since the default value for label_size is 1, meaning you have one target column. (See the Amazon SageMaker developer guide titled Common Data Formats for Training)
Option B is incorrect. The Content-Type of text/csv specifying a label_size of 0 is used when you do not have target data. You usually choose this setting when using unsupervised learning. (See the Amazon SageMaker developer guide titled Common Data Formats for Training)
Option C is correct. From the Amazon SageMaker developer guide titled Common Data Formats for Training, “Amazon SageMaker requires that a CSV file doesn`t have a header record and that the target variable is in the first column”.
Option D is incorrect. From the Amazon SageMaker developer guide titled Common Data Formats for Training, “Amazon SageMaker requires that a CSV file doesn`t have a header record and that the target variable is in the first column”.
Option E is incorrect.From the Amazon SageMaker developer guide titled Common Data Formats for Training, “Amazon SageMaker requires that a CSV file doesn`t have a header record and that the target variable is in the first column”.
Option F is incorrect.From the Amazon SageMaker developer guide titled Common Data Formats for Training, “Amazon SageMaker requires that a CSV file doesn`t have a header record and that the target variable is in the first column”.
Reference:
Please see the Amazon SageMaker developer guide, specifically Common Data Formats for Built-in Algorithms and Common Data Formats for Training.