Which approach ensures data security for the new Opportunity dataset?

A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.

It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at the Opportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.

Which approach ensures data security for the new Opportunity dataset?
A . Enable Inherit Sharing from Salesforce in the analytics settings and set Opportunity as the source on the dataset.
B . Flatten the role hierarchy in the dataflow recipe and set a security predicate based on Opportunity owner and role path.
C . Run the Sharing Inheritance Coverage Assessment for the Opportunity object in the analytics settings.

View Answer

Answer: C

Explanation:

For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy.

Here’s why:

Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.

Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.

Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.