Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes.
What is a key reason for implementing Einstein Copilot?
Correct Answer:C
The key reason for implementingEinstein Copilotis its ability tostreamline workflowsandautomate repetitive tasks. By leveraging AI, Einstein Copilot can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
✑ Option A(Improving data entry and cleansing) is not the primary purpose of
Einstein Copilot, as its focus is on guiding and assisting users through workflows.
✑ Option B(Allowing AI to perform tasks without user interaction) does not accurately describe the role of Einstein Copilot, which operates interactively to assist users in real time.
Salesforce AI Specialist References:More details can be found in the Salesforce documentation:https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_overview.ht m
Before activating a custom copilot action, an AI Specialist would like is to understand multiple real-world user utterances to ensure the action being selected appropriately.
Which tool should the AI Specialist recommend?
Correct Answer:C
To understand multiple real-world user utterances and ensure the correct action is selected before activating acustom copilot action, the recommended tool is Copilot Builder. This tool allows AI Specialists to design and test conversational actions in response to user inputs, helping ensure the copilot can accurately handle different user queries and phrases.Copilot Builderprovides the ability to test, refine, and improve actions based on real-world utterances.
✑ Option Cis correct asCopilot Builderis designed for configuring and testing
conversational actions.
✑ Option A(Model Playground) is used for testing models, not user utterances.
✑ Option B(Einstein Copilot) refers to the conversational interface but isn't the right tool for designing and testing actions.
References:
✑ Salesforce Copilot Builder Overview:https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_builder.h tm
How should an organization use theEinstein Trust layer to audit,track, and view masked data?
Correct Answer:A
TheEinstein Trust Layeris designed to ensure transparency, compliance, and security for organizations leveraging Salesforce??s AI and generative AI capabilities. Specifically, for auditing, tracking, and viewing masked data, organizations can utilize:
✑ Audit Trail in Data Cloud: Theaudit trailcaptures and stores all prompts submitted
to large language models (LLMs), ensuring that sensitive or masked data interactions are logged. This allows organizations to monitor and audit all AI- generated outputs, ensuring that data handling complies with internal and regulatory guidelines. TheData Cloudprovides the infrastructure for managing and accessing this audit data.
✑ Why not B?UsingPrompt Builderin Setup to send prompts to the LLM is for
creating and managing prompts, not for auditing or tracking data. It does not interact directly with the audit trail functionality.
✑ Why not C?Although the audit trail can be accessed in Setup, the user-generated
prompts are primarily tracked in the Data Cloud for broader control, auditing, and analysis. Setup is not the primary tool for exporting or managing these audit logs.
More information on auditing AI interactions can be found in theSalesforce AI Trust Layer documentation, which outlines how organizations can manage and track generative AI interactions securely.
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?
Correct Answer:C
Prompt Defenseis a feature in theEinstein Trust Layerthat helps minimize the risks ofjailbreakingandprompt injection attacks. These attacks occur when malicious users try to manipulate the AI model by providing unintended inputs.Prompt Defense ensures that the prompts are processed securely, protecting the system from such vulnerabilities.
✑ Option A(Secure Data Retrieval and Grounding) relates to ensuring that data used
by AI is securely retrieved but does not address prompt security.
✑ Option B(Data Masking) focuses on protecting sensitive information but does not prevent injection attacks.
For more information, refer toSalesforce's Einstein Trust Layer documentationon Prompt Defenseand security features.
Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing Al-generated plans containing guidance and steps for closing deals.
Which feature should the AI Specialist recommend to the sales team?
Correct Answer:C
The"Create Close Plan"feature is designed to help sales reps by providing AI-generated strategies and stepsspecifically focused on closing deals. This feature leverages AI to analyze the current state of opportunities and generate a plan that outlines the actions, timelines, and key steps required to movedeals toward closure. It aligns directly with the sales team??s need to meet quotas by offering actionable insights and structured plans.
✑ Find Similar Deals(Option A) helps sales reps discover opportunities similar to
their current deals but doesn??t offer a plan for closing.
✑ Create Account Plan(Option B) focuses on long-term strategies for managing
accounts, which might include customer engagement and retention, but doesn??t focus on deal closure.
Salesforce AI Specialist References:For more information on using AI for sales, visit:https://help.salesforce.com/s/articleView?id=sf.einstein_for_sales_overview.htm
Universal Containers plans to implement prompt templates that utilize the standard foundation models.
What should the AI Specialist consider when building prompt templates in Prompt Builder?
Correct Answer:C
When buildingprompt templates in Prompt Builder, it is essential to consider how the Large Language Model (LLM) processes and generates outputs. Training the LLM with variouswriting styles, such as differentword choices, intensifiers, emojis, and punctuation, helps the model better understand diverse writing patterns and produce more contextually appropriate responses.
This approach enhances the flexibility and accuracy of the LLM when generating outputs for different use cases, as it is trained to recognize various writing conventions and styles. The prompt template should focus on providing rich context, and this stylistic variety helps improve the model??s adaptability.
Options A and B are less relevant because adding multiple-choice questions or role-playing scenarios doesn??t contribute significantly to improving the AI??s output generation quality within standard business contexts.
For more details, refer to Salesforce??sPrompt Builder documentationand LLM tuning strategies.