Which of the following can be characteristics of a lazy load in SAP HANA?

The characteristic of lazy loading in SAP HANA indicates that data is loaded into memory only when it is first accessed. This approach helps optimize memory usage, as it avoids preloading large amounts of data that may not be immediately needed for processing or analytics. By loading data on demand, SAP HANA can provide faster response times for queries, as it focuses on loading only what is necessary at any given moment. This method is particularly beneficial for applications that may have a vast amount of data, allowing for efficient data handling and resource management.

In contrast, other options describe different loading strategies. Pre-loading all data at startup implies a more traditional approach where all data is loaded into memory regardless of whether it will be used immediately. Aggregating data during load suggests a transformation process that modifies data as it is loaded, which is also distinct from lazy loading. Prioritizing data by type during loading entails a strategic organization of data based on its classification or relevance, rather than loading it strictly when accessed. Each of these methods has its merits, but they do not align with the fundamental principle of lazy loading, which emphasizes on-demand data access.