Q147. A supermarket chain had a big data analysis system deployed in AWS. The system has the raw data such as clickstream or process logs in S3. A m3.large EC2 instance transformed the data to other formats and saved it to anot

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Q147. A supermarket chain had a big data analysis system deployed in AWS. The system has the raw data such as clickstream or process logs in S3. A m3.large EC2 instance transformed the data to other formats and saved it to another S3 bucket. Amazon Redshift analysed the data afterwards. Your team is in charge of improving the system using AWS Glue which is a fully managed ETL (extract transform and load) service. Which tasks can AWS Glue simplify during re-establishing the big data system? (Select TWO)

A.AWS Glue contains a crawler that connects to the S3 bucket and scans the dataset. Then the service creates metadata tables in the data catalog.
B.AWS Glue automatically generates code in Java to extract data from the source and transform the data to match the target schema.
C.Be default AWS Glue creates a scheduler to trigger the activated tasks every minute.
D.AWS Glue has a central metadata repository (data catalog). The data in the catalog is available for analysis immediately.
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