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NEW QUESTION # 140
Cloud Kicks wants to standardize its service key performance indicators (KPIs) for response time and first case closure rates.
Individual service agents, team leaders, regional directors, and the VP of service should see the same KPIs calculated using only the data the user can access.
What is the recommended running user to meet the requirements?
Answer: B
Explanation:
To standardize service KPIs for users at all levels while ensuring data visibility is based on user access, setting the dashboard running user as 'Dashboard Viewer' is recommended. This approach dynamically calculates KPIs using only the data accessible to the individual viewing the dashboard, ensuring consistency and data security across the organization.
NEW QUESTION # 141
A growing retail company wants to modernize its legacy on-premises contact center, which is costly, hard to scale, and lacks support for new digital channels. The company wants to reduce overhead, scale easily during seasonal spikes, and give service reps real-time customer insights.
What should a Service Cloud Consultant recommend?
Answer: C
Explanation:
Salesforce Contact Center, powered by Amazon Connect, is Salesforce's recommended solution for modernizing legacy on-premises contact centers. It provides:
Cloud-based voice and digital channel integration directly within Service Cloud.
Scalability to handle seasonal demand spikes.
Real-time insights through integration with Service Cloud Voice, Data Cloud, and Einstein Conversation Insights.
Option A requires significant custom development and lacks unified voice-data insights.
Option C prolongs reliance on legacy systems, contradicting the modernization goal.
Referenced Salesforce Materials:
Salesforce Service Cloud Consultant Exam Guide - Service Cloud Solution Design Domain.
Salesforce Spring '24 Release Notes - Service Cloud Voice and Salesforce Contact Center Enhancements.
Salesforce Help: "Deploy Salesforce Contact Center with Amazon Connect".
NEW QUESTION # 142
Universal Containers is considering a Knowledge-Centered Support (KCS) implementation.
Which benefit can be expected from KCS adoption?
Answer: B
Explanation:
Knowledge-Centered Support (KCS) focuses on integrating knowledge creation and maintenance into the problem-solving process. By adopting KCS, organizations can expect a reduction in issue resolution time as service agents have quicker access to solutions and knowledge articles, enabling faster responses to customer inquiries and issues.
NEW QUESTION # 143
Universal Healthcare aims to implement Agentforce Service Agent to assist patients' common inquiries and provide medication summaries. It should handle sensitive tasks such as confirming patient identity via email or phone before retrieving medical history.
How should the Service Cloud Consultant approach the Agentforce Service Agent's action configuration?
Answer: A
Explanation:
For Agentforce Service Agent implementations that involve sensitive data (e.g., healthcare records), Salesforce recommends combining standard topics for general use cases with custom topics and actions (built via Flow, Apex, or Prompt Builder) for privacy-sensitive operations.
This hybrid approach ensures compliance with HIPAA and organizational security policies while leveraging prebuilt, maintainable Service Agent capabilities.
Option B is unnecessarily restrictive and time-consuming.
Option C is inaccurate - standard actions do not automatically enforce advanced verification or compliance requirements.
Referenced Salesforce Materials:
Salesforce Spring '24 Release Notes - Agentforce Service Agent and Custom Action Enhancements.
Service Cloud Consultant Exam Guide - Interaction Channels Domain.
Salesforce Help: "Configure Custom Actions and Topics for Sensitive Data Handling in Agentforce."
NEW QUESTION # 144
Cloud Kicks (CK) wants to adopt artificial intelligence (AI) for improving case closure key performance indicators (KPIs) and product support planning within its Service organization. CK has at least 1,000 closed cases from which it can predict accurate values for fields that are empty. CK has yet to implement any Einstein AI products.
Answer: A
Explanation:
To leverage AI for predictive insights in Service Cloud, organizations start with Einstein Case Classification and Einstein Case Routing-collectively known as Einstein Classification Apps. These use existing case history to predict field values (like priority, type, or product) based on patterns from previously closed cases.
Before enabling these apps, Salesforce recommends data review and cleanup to ensure high-quality, representative case records. A minimum of at least 1,000 closed cases is required for accurate AI model training.
Option A (Einstein Article Recommendations) supports agent knowledge but doesn't predict case field values.
Option B (Einstein Service AI Grounding) is part of Agentforce's generative response accuracy, not classification.
Referenced Salesforce Materials:
Service Cloud Consultant Exam Guide - Service Cloud Solution Design Domain.
Salesforce Help: "Set Up Einstein Case Classification and Routing."
Salesforce Spring '24 Release Notes - Einstein Classification Apps Enhancements.
NEW QUESTION # 145
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