Free Service-Con-201 Exam Braindumps
Salesforce Certified Service Cloud Consultant Questions 146–150 (page: 31)

Updated On: 10-Feb-2026

Cloud Kicks provides phone support to customers using the Service Cloud Voice Dialer. Once a call completes, support agents often need to send a follow-up email or finalize case notes. CK wants to get insight about agent efficiency.

Which metric should a consultant recommend to track the efficiency of individual agents?

  1. Total Emails Sent
  2. Call Abandonment
  3. After Conversation Work Time

Answer(s): C

Explanation:

To track the efficiency of individual agents using the Service Cloud Voice Dialer, focusing on the "After Conversation Work Time" metric is recommended. This metric measures the time spent by agents on follow-up tasks after a call has ended, providing insights into how efficiently agents manage their post-call responsibilities and contributing to an overall understanding of agent productivity.



Universal Containers has recently implemented Chat and is looking for recommendations about how to improve agents' ability to find the appropriate answer while chatting with customers.

What should a consultant recommend to meet this requirement?

  1. Einstein Reply Recommendations
  2. Einstein Article Recommendations
  3. Action & Recommendations component

Answer(s): B

Explanation:

To improve agents' ability to find appropriate answers during chat sessions with customers, implementing Einstein Article Recommendations is recommended. This feature uses AI to suggest relevant Knowledge articles to agents based on the context of the chat, enhancing the efficiency of information retrieval and the quality of customer support.



Universal Containers (UC) wants to implement Service Cloud using Agile methodology.

How should the consultant recommend delivering a successful implementation?

  1. Generate continuous feedback from the project team, and adjust the requirements and deliverables accordingly.
  2. Generate all of the requirements with UC executives and then develop the project schedule.
  3. Finish all of the project requirements at once and deliver a complete solution.

Answer(s): 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.



A recent review of customer satisfaction surveys revealed that the support center does a poor job of upselling new products to customers. Customers report dissatisfaction when calling for service issues and receiving a sales pitch instead. However, customers that have been upsold new products are two times more likely to remain a customer.

What is the recommended method to ensure upselling only occurs when customers are likely to be receptive to the offer?

  1. Einstein Next Best Action
  2. Service Analytics Predictions
  3. Visual Remote Assistant

Answer(s): A

Explanation:

To ensure upselling occurs only when customers are likely to be receptive, implementing Einstein Next Best Action is recommended. This tool uses AI to suggest the most appropriate actions or offers to service agents based on customer context and interaction history, increasing the likelihood of a positive response to upselling efforts while maintaining customer satisfaction.



Universal Containers wants to reduce the amount of time support agents spend creating cases. Case creation must scale up to 5,000 new cases per day and allow file attachments under 10 MB by the customer.

Which feature should the consultant suggest?

  1. Web-to-Case
  2. On-Demand Email-to-Case
  3. Email-to-Case

Answer(s): A

Explanation:

For handling up to 5,000 new cases per day with the capability for customers to attach files under 10 MB, Web-to-Case is the recommended feature. This allows customers to submit cases directly through a web form, including file attachments, efficiently scaling case creation capabilities while reducing the workload on support agents.



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