A company wants to migrate a native SAP HANA database to AWS. The database ingests large amounts of data every month, and the size of the database is growing rapidly. The company needs to store data for 10 years to meet a regulatory requirement. The company uses data from the last 2 years frequently in several reports. This recent data is critical and must be accessed quickly. The data that is 3-6 years old is used a few times a year and can be accessed in a longer time frame. The data that is more than 6 years old is rarely used and also can be accessed in a longer time frame. Which combination of steps will meet these requirements? (Choose three.)

Topic #: - All AWS Certified SAP on AWS - Specialty PAS-C01 Questions

A. Keep the frequently accessed data from the last 2 years in a hot tier on an SAP HANA certified Amazon EC2 instance.
B. Move the frequently accessed data from the last 2 years to SAP Information Life Cycle Management (ILM) with SAP IQ.
C. Move the less frequently accessed data that is 3-6 years old to a warm tier on Amazon Elastic File System (Amazon EFS) by using SAP HANA dynamic tiering.
D. Move the less frequently accessed data that is 3-6 years old to a warm tier on Amazon Elastic File System (Amazon EFS) by using data aging.
E. Move the rarely accessed data that is more than 6 years old to a cold tier on Amazon S3 by using SAP Data Hub.
F. Move the rarely accessed data that is more than 6 years old to a cold tier on SAP BW Near Line Storage (NLS) with Apache Hadoop.

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