Which of the following take advantage of the computing power of multiple CPUs used by SAP HANA?

The option that correctly takes advantage of the computing power of multiple CPUs used by SAP HANA is parallel processing. This technique allows the database to execute multiple operations or queries simultaneously across different CPU cores. In a multi-core CPU environment, parallel processing can significantly enhance performance by distributing workloads effectively, minimizing execution time for complex queries or large data manipulations.

Parallel processing is particularly beneficial in SAP HANA due to its in-memory processing capabilities, as it can leverage the extensive memory bandwidth and the rapid access speed to data stored in memory. By breaking down tasks into smaller processes that can be handled concurrently, parallel processing maximizes resource utilization and enhances overall system performance.

The other options, while important features of SAP HANA, do not directly leverage multiple CPUs in the same way. Database table compression, for instance, focuses more on reducing storage requirements rather than increasing processing speed through CPU utilization. Partitioning helps manage data more effectively by splitting large tables into smaller, manageable pieces, but it does not inherently mean that operations are run in parallel by multiple CPUs. Columnar data storage improves data retrieval efficiency but is not directly tied to the simultaneous operation of multiple CPUs.