What is a limitation of SAQL queries when handling larger data volumes?

When considering the limitations of SAQL queries in handling larger data volumes, the focus is on how initial selections are applied during the data retrieval process. The correct choice emphasizes that initial selections in SAQL queries only take effect when there are results found in the first batch of data that is processed. This means that if your dataset is extensive and the initial selection criteria do not yield any results in the first batch, subsequent data that may match the criteria will not be considered.

This characteristic can lead to incomplete data analysis because it may overlook relevant data points that exist further along in the dataset. As data volumes grow, the risk increases that some meaningful insights could be missed simply because the first batch doesn't reflect all possible matches to the defined selection criteria.

In contrast, the other options either mischaracterize SAQL’s capabilities or present scenarios that don’t accurately capture the nature of its limitations. For instance, stating that SAQL cannot be used on larger datasets at all is incorrect, as SAQL is designed to handle significant data volumes, albeit with performance considerations. Similarly, the notion of manually dividing queries into smaller groups presents a workaround, rather than a specific limitation inherent to the querying logic itself. Lastly, the assertion that list widget searches can find all results returned