Missing data might indicate which of the following? Select all that apply.

Missing data can indeed indicate retention policy issues. Retention policies are critical in data management as they determine how long data is stored in the system before being archived or deleted. If the retention policy is configured to remove data after a certain time period, this could lead to missing data if users are not aware of these configurations. For example, if data is retained for only a short period, and users expect to see historical data beyond that time frame, they may find gaps or missing data because it has been purged according to the preset policies.

In addition to retention policy issues, missing data can also relate to other systemic factors within a Splunk environment. For instance, if the maximum raw data size is reached, Splunk may stop indexing new incoming data to preserve performance and resource integrity. Rapid index growth might lead to operational challenges that could also contribute to data not being indexed properly.

However, it is important to note that "No input data errors recorded" may imply that there is no observed problem with data inputs, thus suggesting that missing data is not due to input errors. Therefore, analyzing these scenarios holistically can assist in pinpointing the specific causes of any missing data issues in Splunk.