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| Section | Weight | Objectives |
|---|---|---|
| Design | 35% | - Design self-service and knowledge base integration - Design omni-channel routing and assignment logic - Plan voice and digital engagement implementation - Plan agent workspace and user experience |
| Deploy & Optimize | 10% | - Perform testing and validation - Monitor performance and optimize operations - Plan deployment and change management |
| Discovery | 20% | - Identify success metrics and KPIs - Understand contact center business requirements and goals - Map customer journeys and interaction channels |
| Build & Configure | 35% | - Implement Service Cloud Voice and telephony integration - Set up Omni-Channel and routing rules - Configure Service Cloud and Contact Center features - Configure reporting, dashboards, and analytics |
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NEW QUESTION # 26
The customer needs real-time sentiment analysis during calls. Which third-party integration might be beneficial?
Answer: D
Explanation:
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.
NEW QUESTION # 27
You need to set up email case creation. Which feature allows automatic case generation from incoming emails?
Answer: A
Explanation:
Email-to-Case is the feature that allows automatic case generation from incoming emails by converting emails into case records. This functionality ensures that all relevant email data is captured directly into Salesforce cases, utilizing field mapping to organize and store information correctly.
NEW QUESTION # 28
Your legacy system stores customer data in different formats. Which tool helps assess data readiness for migration?
Answer: B
Explanation:
The Data Migration Assistant (DMA) tool is specifically designed to analyze data formats and compatibility, making it an essential resource for assessing data readiness prior to migration. It helps in evaluating how legacy data formats will translate into Salesforce, identifying any potential issues like data inconsistency or incompatibility early in the migration process. Therefore, "C. Data Migration Assistant (DMA) tool for analyzing data format and compatibility" is the most effective tool for assessing legacy data readiness.
Reference: Salesforce Data Migration
NEW QUESTION # 29
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: C
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 # 30
You need to validate web form functionality. Which method provides the most direct test?
Answer: D
Explanation:
Validating web form functionality comprehensively requires multiple testing strategies. Reviewing form configuration and field mappings ensures that all settings are correctly specified. Manually submitting test data through the form to verify integration and data flow into Salesforce is crucial for real-world testing. Monitoring web server logs helps identify any access issues or technical errors. Thus, "D. All of the above, offering complementary perspectives on web form functionality and potential challenges" provides a thorough method for ensuring that web forms are functional and effectively integrated.
Reference: Salesforce Web-to-Lead Forms
NEW QUESTION # 31
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