Sales-Cloud-Consultant Exam Dumps : Certified Salesforce Sales Cloud Consultant (SP25)

The system downtimes during past deployments fall under the category of Technical Risk. Here’s why:

Technical Nature of Issue: System downtime is directly related to the performance, reliability, and technical aspects of Salesforce deployments. Technical risks encompass potential issues related to system functionality, stability, and the implementation of technology.

Risk Register Considerations: A Risk Register categorizes risks to help with mitigation planning. Since the issues were due to technical failures during deployment, this aligns with Technical Risk, as it involves technology infrastructure and deployment processes.

Salesforce Best Practices: Identifying and categorizing technical risks helps to prepare and allocate resources effectively, reducing the likelihood of similar issues in future deployments.

References: Salesforce’s guidance on Risk Management and Deployment Planning includes information on managing technical risks associated with deployments.

In summary, Technical Risk (Option A) is the appropriate category for issues related to system downtimes during Salesforce deployments.

To identify duplicate Leads in Salesforce, a duplicate job using a Matching Rule is an effective approach. Duplicate Jobs leverage pre-defined or custom matching criteria to identify records that may be duplicates, which can then be reviewed and cleaned up by marketing reps.

Matching Rules and Duplicate Jobs: Matching Rules define how duplicate records are identified based on specific field criteria. A duplicate job uses these rules to scan records and generate a report of potential duplicates.

Supporting Data Quality: This process is efficient for identifying duplicates on a large scale, which can then be reviewed and merged as necessary by marketing reps.

Option A (formula field) and Option B (validation rule) are not designed for detecting duplicates. For more information, refer to the Salesforce Duplicate Management documentation.

Customer Lifetime Value (CLV) measures the total value a customer brings over the entire duration of their relationship with the company. Emphasizing CLV helps sales teams focus on customer retention and long-term relationship value, which aligns with Universal Containers’ goal of prioritizing customer retention. By tracking CLV, sales managers can guide reps to prioritize engagement with high-value customers to boost long-term revenue.

Annual Contract Value (ACV) and Total Pipeline Value focus more on short-term gains, which might not align as directly with customer retention and long-term strategy.

Salesforce Documentation References:

Customer Lifetime Value in Salesforce

Using Metrics to Drive Retention