A company is currently using AWS Athena with a large number of data sets in S3. They want to improve the performance of the underlying queries. Which of the following can help achieve this?[SELECT TWO]

Answer options:

A.Partition the data
B.Encrypt the data
C.Compress the data
D.Version the data

Answer : A and C
The AWS Documentation mentions the following
By partitioning your data, you can restrict the amount of data scanned by each query, thus improving performance and reducing cost. Athena leverages Hive for partitioning data. You can partition your data by any key. A common practice is to partition the data based on time, often leading to a multi-level partitioning scheme. For example, a customer who has data coming in every hour might decide to partition by year, month, date, and hour. Another customer, who has data coming from many different sources but loaded one time per day, may partition by a data source identifier and date.
None of the other options will help in achieving better query performance.
Amazon Athena supports a wide variety of data formats like CSV, TSV, JSON, or Textfiles and also supports open source columnar formats such as Apache ORC and Apache Parquet. Athena also supports compressed data in Snappy, Zlib, LZO, and GZIP formats. By compressing, partitioning, and using columnar formats you can improve performance and reduce your costs.
For more information on using partitions, please visit the url
https://docs.aws.amazon.com/athena/latest/ug/partitions.html