Salesforce AI Quiz

Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

• Secure Data Retrieval and Grounding

• Data Masking

• Prompt Defense

Universal Containers plans to enhance the customer support team's productivity using AI. Which specific use case necessitates the use of Prompt Builder?

• Creating a draft of a support bulletin post for new product patches

• Creating an AI-generated customer support agent performance score

• Estimating support ticket volume based on historical data and seasonal trends

An AI Specialist is considering using a Field Generation prompt template type. What should the AI Specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?

• That the field chosen must be a rich text field with 255 characters or more.

• That the org is set to API version 59 or higher

• That the Lightning page layout where the field will reside has been upgraded to Dynamic Forms

Universal Containers (UC) noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions. Which use case functionality of Model Builder aligns with UC's request?

• Product recommendation prediction

• Customer churn prediction

• Contract Renewal Date prediction

Before activating a custom copilot action, an AI Specialist would like to understand multiple real-world user utterances to ensure the action being selected appropriately. Which tool should the AI Specialist recommend?

• Model Playground

• Einstein Copilot

• Copilot Builder

Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?

• The data being used for grounding is incorrect or incomplete.

• The prompt template version is incompatible with the chosen LLM

• The Einstein Trust Layer is incorrectly configured.

Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number. Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details. Which solution should an AI Specialist implement to meet this requirement?

• Create a screen flow to collect sales order number and invoke the prompt template using the standard 'Prompt Template' flow action.

• Create a template-triggered prompt flow and invoke the prompt template using the standard 'Prompt Template' flow action.

• Create an autolaunched flow and invoke the prompt template using the standard 'Prompt Template' flow action.

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?

• Track the number of sales closed by the team without using Copilot

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

• Require mandatory training sessions every week for all sales team members

• Remove access to traditional tools to force the use of Copilot

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?

• Use a fixed set of treatment plans stored in the application

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

• Base treatment suggestions on common practices observed in historical data

• Generate treatment plans using AI trained on outdated medical textbooks

A company is using Salesforce Einstein to analyze customer data and generate predictive insights. They need to ensure that sensitive employee salary information is not included in any Einstein analytics due to strict internal data governance policies. How can the company implement this using the Einstein Trust Layer?

• Use Field-Level Security to hide the salary information from all users

• Apply Einstein Data Exclusion to exclude salary information from being processed by Einstein

• Encrypt the salary fields using Salesforce Shield Encryption

• Remove the salary fields from the Salesforce schema