Question 125:
You work as a machine learning specialist for an auto manufacturer that produces several car models in several product lines. Example models include an LX model, an EX model, a Sport model, etc. These models have many similarities. But of course, they also have defining differences. Each model has its own parts list entries in your company’s parts database. When ordering commodity parts for these car models from auto parts manufacturers, you want to produce the most efficient orders for each parts manufacturer by combining orders for similar parts lists. This will save your company money. You have decided to use the AWS Glue FindMatches Machine Learning Transform to find your matching parts lists. You have created your data source file as a CSV, and you have also created your labeling file used to train your FindMatches to transform. When you run your AWS Glue transform job, it fails. Which of the following could be the root of the problem?
Answer options:
A.The labeling file is in the CSV format. B.The labeling file has labeling_set_id and label as its first two columns with the remaining columns matching the schema of the parts list data to be processed. C.Records in the labeling file that don’t have any matches have unique labels. D.The labeling file is not encoded in UTF-8 without BOM (byte order mark).