To answer this question, you need to understand the features that are unique to the Exadata Storage Server and can reduce the amount of I/O processed. Let's go through each option to understand why it is correct or incorrect:
Option A) Partitioning - Partitioning is a feature that allows data to be divided into smaller, more manageable pieces. While partitioning can improve query performance, it is not unique to the Exadata Storage Server.
Option B) Parallelism - Parallelism is a technique that allows multiple processes or threads to work on a task simultaneously, thus improving performance. While parallelism can be used in conjunction with the Exadata Storage Server, it is not unique to it.
Option C) Storage indexes - Storage indexes are a feature specific to the Exadata Storage Server. They are similar to indexes in a traditional database but are stored within the storage servers themselves. Storage indexes can significantly reduce the amount of I/O processed by eliminating the need to read unnecessary data blocks. Therefore, option C is correct.
Option D) Compression - Compression is a technique that reduces the size of data by encoding it in a more efficient format. While compression can reduce I/O by reducing the amount of data that needs to be read or written, it is not unique to the Exadata Storage Server.
Option E) Predicate filtering - Predicate filtering is a feature specific to the Exadata Storage Server. It allows the storage servers to filter out unnecessary data at the storage level, reducing the amount of data that needs to be transferred to the database servers. Therefore, option E is correct.
The correct answer is C) Storage indexes and E) Predicate filtering. These features are unique to the Exadata Storage Server and can reduce the amount of I/O processed.