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| Section | Weight | Objectives |
|---|---|---|
| Design | 29% | - Design for Omni-Channel routing and engagement - Design integrated voice and digital channel solutions - Design scalable Contact Center solutions - Design self-service and knowledge management strategies |
| Deploy | 15% | - Document configurations and processes - Plan deployment and cutover activities - Validate solution functionality and performance |
| Operate and Optimize | 10% | - Analyze performance and identify improvement opportunities - Apply best practices for ongoing optimization - Monitor and maintain Contact Center operations |
| Discovery | 20% | - Define personas and stakeholders - Identify business objectives and success metrics - Gather and document requirements |
| Implement | 26% | - Implement knowledge base and self-service portals - Configure Omni-Channel and routing rules - Set up and verify email and voice services - Configure core Contact Center features |
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NEW QUESTION # 196
While some of your suggestions aim to address Ursa Major Solar's need to accommodate new agents during peak season, they raise potential concerns and might not be the most optimal approach. Here's a breakdown:
Ursa Major Solar (UMS) is implementing Email-to-Case in its ...
Salesforce notaro which it has used in the past 2 years as its Case
Management system, to place is the party Email Channel provider. UMS is excited to learn about the artificial in capability in Einstein Case Classification and would like to prioritize the capturing the build as must-have After verifying the license, how should a consultant include the Einstein Case Classification capability in the same project?
Add two requirements to the backlog in the current release date
EmailMessage object to meet data requirements for Einstein formal Car
Cassium be up Einstein Case Classification.
Add the requirement to a future release since Einstein rends at least 400 the past 6 months to build the model in Email Channel Add the requirement in the current release as the customer are case records and because of the reed to prontice the manner Classification The most appropriate approach for incorporating Einstein Case Classification into the same project is to:
A) A Add two requirements to the backlog in the current release:
B) Ursa Major Solar has recently seen a big increase in case volume due to the launch of new product.
What should the company do to deflect cases?
Implement an internal knowledge base.
Implement a customer-facing knowledge base Implement a new channel in
SMS. Choose
While both implementing an internal knowledge base and implementing a
customer-facing knowledge base can help deflect cases, the most
impactful choice for Ursa Major Solar is:
Implementing a customer-facing knowledge base.
Ursa Major Solar decided to roll out Einstein Bots in all of the enhanced digital snipe channels for its retail customers, including Facebook Messenger, WhatsApp and Message for In-app and Web. The Salesforce administrators are not sure how many boss they sa and why.
Which recommendation should a consultant make to the Salesforce ..
Answer: B
Explanation:
Facebook Messenger
Explanation:
To incorporate Einstein Case Classification effectively in the ongoing project, the consultant should add two requirements to the backlog in the current release. This approach ensures that the project team can address the need for Einstein Case Classification without delaying the current implementation schedule. The EmailMessage object will need to be configured to meet data requirements for Einstein Case Classification, which will then enable the automated classification and routing of incoming cases based on content analysis. This strategic inclusion in the current release facilitates immediate enhancement of case management efficiency without the wait times associated with gathering historical data, as would be necessary if waiting for a future release.
Reference: https://help.salesforce.com/s/articleView?id=sf.einstein_service_case_classification.htm For deflecting cases, implementing a customer-facing knowledge base is the most impactful choice for Ursa Major Solar. A customer-facing knowledge base allows customers to self-serve by accessing information and solutions directly, which can significantly reduce the volume of incoming cases by addressing common inquiries and issues before they escalate to live support interactions.
Reference: https://help.salesforce.com/s/articleView?id=sf.knowledge_about.htm For the deployment of Einstein Bots across enhanced digital service channels, the recommendation should be to use the same Einstein Bot across all channels (Facebook Messenger, WhatsApp, Message for In-app, and Web). This approach leverages the ability of Einstein Bots to be configured once and deployed across multiple channels, simplifying maintenance and ensuring consistent customer experiences across all digital touchpoints.
Reference: https://help.salesforce.com/s/articleView?id=sf.bots_overview.htm
NEW QUESTION # 197
Validating case management functionality involves assessing data capture accuracy. Which tool assists with this?
Answer: C
Explanation:
Assessing data capture accuracy in case management involves various tools within Salesforce. The Case History related list provides a detailed log of all changes made to case records, offering an audit trail. Reporting tools can analyze trends and patterns in case management, helping to identify any recurrent data entry errors or peculiarities. Data Quality Rules automatically check for inconsistencies or missing information in case fields. Thus, "D. All of the above, providing various options for analyzing data capture accuracy and identifying potential issues" ensures a comprehensive evaluation of data accuracy in case management.
Reference: Salesforce Data Quality Tools
NEW QUESTION # 198
Ursa Major Solar (UMS) wants to offer the new Messaging for Web channel on its Azure based Experience Cloud site. However, UMS wants authenticated users to go directly to an agent and guest users to be connected with an Einstein Bot.
How should a consultant suggest UMS configure its Experience Cloud site to support this?
Answer: C
Explanation:
To differentiate the chat routing for authenticated and guest users on an Experience Cloud site, using the Embedded Messaging component with conditional visibility settings based on user status is effective. However, passing the User ID as a hidden pre-chat field and using that value in an Omni-Channel flow to determine the routing destination offers a more seamless and automated approach. This setup ensures that authenticated users can bypass initial bot interactions and directly connect with an agent, while guest users start their interaction with an Einstein Bot.
Reference: Salesforce Omni-Channel Routing
NEW QUESTION # 199
Your KPI requirements include measuring average handle time (AHT) for chat interactions. Which metric best reflects this?
Answer: D
Explanation:
Measuring Average Handle Time (AHT) for chat interactions can include several metrics depending on the specific aspects of AHT you wish to analyze. The number of chat sessions gives a baseline of agent activity, total session duration divided by the number of sessions directly reflects AHT, and the time spent by agents actively engaged provides insight into agent efficiency. Thus, "D. All of the above, depending on the desired AHT calculation scope and inclusivity" covers all aspects that can be used to calculate and reflect AHT comprehensively.
Reference: Salesforce Metrics and Performance Measurement
NEW QUESTION # 200
Your design includes assigning cases based on skill sets and urgency. Which feature facilitates this?
Answer: B
Explanation:
Reference: Salesforce Case Management
NEW QUESTION # 201
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