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:
Correct Answer:A
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
The company prioritizes measuring customer effort during interactions. Which KPI is best suited for this purpose?
Correct Answer:C
Reference: Salesforce Blog on Customer Effort Score
While the stakeholders might not be familiar with the term "Continuous Integration," outlining its benefits in terms of improved quality, efficiency, and reduced risk can easily convince them of its value for the Contact Center project. Here are some specific points to highlight Ursa Major Solar wants a consultant to design a solution that will blow its customers take detailed questions about a product's functionality. The customer should be able subject-matter experts and interact with IT support
through available channels in real time.
Which feature should the consultant use to accomplish this?
Correct Answer:B
Reference: https://help.salesforce.com/s/articleView?id=sf.networks_overview.htm
The customer needs real-time sentiment analysis during calls. Which third-party integration might be beneficial?
Correct Answer:C
Google Cloud AI offers robust capabilities for sentiment analysis, which can be integrated with Salesforce to analyze customer sentiments in real-time during calls. This integration uses machine learning models to assess voice and text inputs to determine the customer's mood and tone, providing valuable insights to agents during live interactions.
✑ Google Cloud AI specializes in machine learning and AI capabilities, including natural language processing necessary for sentiment analysis.
✑ Zoom, Genesys Cloud CX, and Zendesk offer various communication and customer service solutions but do not inherently provide real-time sentiment analysis without additional AI capabilities like those offered by Google Cloud AI.
More information on integrating Google Cloud AI with Salesforce for sentiment analysis can be found at Salesforce and Google Cloud Integration.
The environments that should have a two-way deployment connection in this scenario are Test Sandbox and Production Org.
Which requirement needs to be met to perform a quick deployment for change sets or Metadata API components without testing the full deployment?
Correct Answer:A
Reference: Salesforce Deployment Considerations
A client would like to allow verified customers to start a chat on the when wants the verified customers to be able to continue the conversation an only allow these chats during business hours
Which set of functionalities should the consultant research in this case?
Correct Answer:C
Reference: https://help.salesforce.com/s/articleView?id=sf.messaging_channels_setup_web.htm