Salesforce Updated Service-Cloud-Consultant Exam Questions and Answers by nel

To measure the effectiveness of two-way mobile messaging, the Average Handle Time (AHT) metric is suitable. AHT assesses the efficiency of conversations and problem resolution through messaging, providing insights into how this channel impacts support team performance and customer satisfaction, helping to evaluate the success of the implementation.

To offer a more personalized and flexible service experience, integrating messaging apps into the service strategy is recommended. Messaging apps allow for asynchronous, convenient communication that can enhance customer engagement and satisfaction by catering to their preferences for quick, informal interactions.

Einstein Article Recommendations analyzes past cases, content usage, and agent activity to automatically suggest the most relevant Knowledge Articles in the Service Console. This reduces search time, improves accuracy, and significantly decreases case resolution times.

Option A (Einstein Bots) automates customer self-service but doesn’t assist agents in article retrieval.

Option C (Einstein Reply Recommendations) provides quick response text for messaging and chats, not knowledge lookup.

Referenced Salesforce Materials:

Service Cloud Consultant Exam Guide – Knowledge Management Domain.

Salesforce Help: “Set Up Einstein Article Recommendations.”

Salesforce Winter ’23 Release Notes – Einstein for Service Enhancements (Article Recommendations).

To provide top-tier support features such as asynchronous conversations, cross-device support, and Estimated Wait Time transparency, Messaging for Web is recommended. This feature enhances the chat support experience on external websites, offering modern communication capabilities that meet customer expectations for flexible and informed support interactions.