B2B-Solution-Architect Exam Questions Tutorials

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Question 8

The business model of Universal Containers (UC) puts a strong emphasis on indirect sales and service processes. UC's customers are primarily distributors, resellers, and service providers who either sell or service products independently,or collaborate with UC on joint opportunities and cases. In the past, collaboration was primarily driven through email but UC wants to bring both service and sales collaboration onto one consolidated platform.

Which solution should a Solution Architect recommend to create better collaboration and visibility for UC employees, resellers, and service partners?

Options:

Grant access to resellers and partners by providing Sales Cloud licenses and Service Cloud licenses.

Grant access to resellers and partners byproviding Partner Community licenses.

Grant access to resellers and partners by providing Customer Community licenses.

Grant access to resellers and partners by providing Customer Community Plus licenses.

Question 9

Universal Containers (UC) is concerned about potential data storage issues in Salesforce due to the Invoice, Order, and Inventory data that would be flowing infrom various on-premise legacy CRM and ERP applications. UC would like to view and occasionally report on this data on-demand for day-to-day operational processes and would prefer not to store the data in Salesforce due to data residency requirements.

Which recommendation should the Solution Architect make to meet this requirement?

Options:

Use Salesforce Orchestrator with MuleSoft to retrieve the data when it is needed.

Push the data into Salesforce and implement an archival strategy.

Write custom Apex code to retrieve the data in real time from external systems.

Re-architect the implementation using Salesforce Connect and external objects.

Question 10

A team at Universal Containers (UC) is currently working on an initial release of Service Cloud. However, UC's management team is very enthusiastic about new features of the platform and wants to go to market with the new Service Cloud solution as soon as possible. The current objective of their initial Service Cloud release is mostly about managing their case workload and case assignment processes. A Solution Architect is called into a management meeting and asked when UC can go live with automated chatbots, Einstein case classification, and CRM Analytics for data insights.

How should a Solution Architect respond to the management team considering their request for these new capabilities'?

Options:

Agree with the management team to postpone the go-live and increase the scope to include the desired features.

Explain to the management team that these features are still evolving and that it is best to wait a few releases so that they are stable before starting to use them in production.

Explain the long-term vision and roadmap, and thenpropose a logical phasing in which the planned minimum viable product (MVP) is the first step on the journey that will eventually include the desired features.

Agree that the new features are crucial to the success of the initiative and swap parts of the current scope for the most innovative feature.

Question 11

Universal Containers (UC) is about to start a massive digital transformation project across multiple service channels. UC plans on using Service Cloud, Omni-Channel, chatbots, Knowledge, and Einstein AI throughout all the service capabilities. Before discovery can start, the key stakeholder would like to see the automated chat capabilities in action. They currently use a third-party Knowledge Base and are wondering what is the value of it over Salesforce Knowledge. They believe it will be chatbots but they are unsure.

What is one of the key benefits the Solution Architect should address within the context of the demo?

Options:

Demo how the chatbot can provide a response to a customer's request by bringing together content from Knowledge articles.

Demo how the chatbot can anticipate the responses of the customer before they make it, and generate Knowledge article responses based on what they have bought.

Demo how the chatbot can utilize Knowledge within it to deflect customer issues before a case is created.

Demo how a human being can have a real conversation with an Einstein Al-driven chatbot.