Question 1

Your organization has recently implemented Einstein Copilot, and you want to ensure that the sales team is effectively adopting this tool. Which approach should you take to monitor and encourage Copilot adoption?

Options :

A : Track the number of sales closed by the team without using Copilot

B : Regularly review usage reports that show how often the sales team interacts with Copilot and identify trends

C : Require mandatory training sessions every week for all sales team members

D : Remove access to traditional tools to force the use of Copilot

Answer: B

Question 2

When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles?

Options :

A : Einstein Reply Recommendations

B : Einstein Service Replies

C : Einstein Grounding

Answer: B

Question 3

An HR team needs to create personalized onboarding materials for new employees across different departments. These materials should include department-specific training plans, company policies, and customized welcome messages. The team wants to ensure consistency across all documents while saving time in the creation process. Should they use Prompt Builder, and why?

Options :

A : Yes, because Prompt Builder can generate consistent and customized onboarding materials based on predefined templates

B : No, because onboarding materials require a personal touch that AI cannot provide

C : Yes, but only for generating generic content like company policies, not for personalized sections

D : No, because Prompt Builder is more suitable for customer-facing content, not internal documents

Answer: A

Question 4

A sales team uses Salesforce Einstein Copilot to assist with data entry tasks. When a salesperson inputs a new lead, the large language model (LLM) identifies and suggests the next best action, such as setting up a follow-up task. What is the primary method by which the LLM determines and executes this copilot action?

Options :

A : The LLM triggers the next action based on a fixed sequence of tasks unrelated to the lead data

B : The LLM analyzes the lead’s data, historical patterns, and context to suggest the most relevant next action

C : The LLM asks the salesperson to choose the next action manually and then executes it

D : The LLM only suggests actions that have been predefined by the sales team without considering the lead data

Answer: B

Question 5

A healthcare provider is developing an AI-driven application to assist doctors by suggesting treatment plans based on patient records and the latest medical research. The application needs to provide suggestions that are both personalized to the patient’s health data and aligned with the most recent medical guidelines. Which grounding technique should be employed?

Options :

A : Use a fixed set of treatment plans stored in the application

B : Integrate the application with electronic health records (EHR) and real-time medical research databases

C : Base treatment suggestions on common practices observed in historical data

D : Generate treatment plans using AI trained on outdated medical textbooks

Answer: B

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