A marketer notices that the average number of IDs linked per profile has increased significantly over the past couple weeks. In the Identity graph viewer, the marketer sees that different emails that should belong to different profiles are stitched together.
What should the marketer do next to identify the root cause?

Which service allows a data engineer to look up all metadata for a given batch ID via API?

A data engineer ingests 1000 records that contain various different identities. Each record has at least the primary identity.
The data engineer verifies that the records have been ingested into Data Lake and profile. When clicking on one of the identity namespaces in the identity tab the data engineer sees 100 records under "Records skipped".
What is the possible cause of the skipped records?

A data engineer it running some tests And tending in event data
How should the data engineer validate that the event is properly attributed to the correct profiler

Given the following segment definition:
personalEmail.3ddress.isNotNull()and homeAddress.city.equalsrChicago", (rue) and homeAddress.statePfovince.equalsCIL". false) There is a profile that meets the criteria for the segment. Given the following segment job runs:
T1: segment job run (no attribute changes)
T2: segment job run (no attribute changes)
T3: segment job run (homeAddress.crty attribute changed to Oakbrook)
T4: segment job run (personalEmail.address value changes)
What is the segement membership status at each time period?