In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?

Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud.

In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
A . Calculated Insight > Refresh Data Stream > Identity Resolution
B . Refresh Data Stream > Calculated Insight > Identity Resolution
C . Identity Resolution > Refresh Data Stream > Calculated Insight
D . Refresh Data Stream > Identity Resolution > Calculated Insight

View Answer

Answer: D

Explanation:

To ensure that freshly imported data from an Amazon S3 Bucket is ready and available to use for any segment, the following processes should be run in this order:

Refresh Data Stream: This process updates the data lake objects in Data Cloud with the latest data from the source system. It can be configured to run automatically or manually, depending on the data stream settings1. Refreshing the data stream ensures that Data Cloud has the most recent and accurate data from the Amazon S3 Bucket.

Identity Resolution: This process creates unified individual profiles by matching and consolidating source profiles from different data streams based on the identity resolution ruleset. It runs daily by default, but can be triggered manually as well2. Identity resolution ensures that Data Cloud has a single view of each customer across different data sources.

Calculated Insight: This process performs calculations on data lake objects or CRM data and returns a result as a new data object. It can be used to create metrics or measures for segmentation or analysis purposes3. Calculated insights ensure that Data Cloud has the derived data that can be used for

personalization or activation.

Reference: 1: Configure Data Stream Refresh and Frequency – Salesforce

2: Identity Resolution Ruleset Processing Results – Salesforce

3: Calculated Insights – Salesforce