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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intake and Interaction Channels | 13% | - Intake channel design - AI and agentic service capabilities - Interaction channel recommendations |
| Topic 2: Contact Center Analytics | 8% | - Report and dashboard development - Analytics for stakeholders |
| Topic 3: Implementation Strategies | 12% | - Consulting engagement participation - Data migration, quality and governance - Deployment and training strategies |
| Topic 4: Integrations | 5% | - Integration use cases and considerations - Connecting with third-party systems |
| Topic 5: Case Management | 18% | - Service Cloud automation - End-to-end case management design - Entitlements, milestones and SLAs - Case deflection strategies |
| Topic 6: Industry Knowledge | 12% | - Risks, benefits and business challenges assessment - Contact Center metrics and KPIs |
| Topic 7: Knowledge Management | 12% | - Knowledge article lifecycle - Knowledge configuration for support and self-service - Knowledge Centered Service methodology |
| Topic 8: Service Cloud Solution Design | 20% | - Data security and compliance - Capabilities, limitations and trade-offs - Requirements analysis and solution design |
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NEW QUESTION # 22
Universal Containers (UC) is configuring a self-service page for customers to find Knowledge articles and create cases. UC has recently requested that an Einstein Bot be placed on the page, but wants to ensure that the bot only directs cases to live agents during normal business hours and observes holidays.
How should a consultant meet this requirement?
Answer: A
Explanation:
To meet the requirement of directing cases to live agents only during business hours and considering holidays, configuring the Einstein Bot with an action to check for Default Business Hours and active Holiday records is recommended. This ensures that customers are directed to submit a case form when live agent support is not available, maintaining service expectations.
NEW QUESTION # 23
An organization has requested guidance on how to delete customers' personal data when they are no longer associated with the company to stay compliant with global data protection and privacy regulations.
Which solution should the consultant recommend to meet the requirement?
Answer: A
Explanation:
To comply with global data protection and privacy regulations, the consultant should recommend systematically searching for and removing all customer personal data from production and sandbox environments. This includes data in records and unindexed free text fields, followed by refreshing sandboxes to eliminate any residual data, ensuring compliance and safeguarding customer privacy.
NEW QUESTION # 24
Cloud Kicks (CK) provides product support based on Service Contracts. A customer ' s Service Contract includes the same Service Level Agreement (SLA) for both Cases and Work Orders. CK would like an efficient method to manage the setup.
What is the recommended configuration to meet the requirements?
Answer: B
Explanation:
When both Cases and Work Orders share the same Service Level Agreement (SLA) , Salesforce best practice is to create a single entitlement process and apply it to both objects . This ensures consistency, reduces maintenance, and simplifies SLA tracking.
The entitlement process can be configured once and then linked via Entitlement Templates or automation for both record types.
Option B (Flow) adds unnecessary complexity if both objects share identical milestones.
Option C (separate processes) would create redundant configurations for the same SLA terms.
Referenced Salesforce Materials:
* Service Cloud Consultant Exam Guide - Case Management Domain.
* Salesforce Help: "Use Entitlement Processes with Cases and Work Orders."
* Salesforce Field Service and Service Cloud Integration Guide - Shared Entitlements Best Practices.
NEW QUESTION # 25
Universal Containers (UC) wants to implement Service Cloud using Agile methodology.
How should the consultant recommend delivering a successful implementation?
Answer: A
Explanation:
For a successful implementation of Service Cloud using Agile methodology, generating continuous feedback from the project team and making iterative adjustments to requirements and deliverables is crucial. This approach ensures that the project remains aligned with client needs and can adapt to changes or new insights as the implementation progresses.
NEW QUESTION # 26
Universal Containers (UC) is launching an implementation of Service Cloud. The project is missing the requirement for a suitable analytics solution to allow executives and service managers to view the current and trending key performance indicators (KPIs).
Which recommendation should the Service Cloud Consultant make to help with this requirement?
Answer: B
Explanation:
Preconfigured Service Cloud Dashboards available on AppExchange provide out-of-the-box KPI tracking for service operations-such as case volume, resolution times, SLA compliance, and agent productivity.
These dashboards are optimized for Salesforce data and can be customized to fit organizational goals.
Option A (custom report types) is time-consuming and not necessary for standard KPIs.
Option B (Tableau) offers advanced analytics but is not required for standard Service Cloud reporting.
Referenced Salesforce Materials:
* Service Cloud Consultant Exam Guide - Contact Center Analytics Domain.
* Salesforce AppExchange Listing: "Service & Support Dashboards."
* Salesforce Help: "Use Prebuilt Dashboards for Service Insights."
NEW QUESTION # 27
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