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1 / 60

Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template. What should the AI Specialist recommend?

Create a Flex template to add resources with standard and custom objects as inputs

Create a prompt template-triggered flow to access the data from standard and custom objects

Create a prompt template passing in a special custom object that connects the records temporarily

2 / 60

Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein
Generative AI Audit Data.
Which audit data is available using the Einstein Trust Layer?

Masked data and toxicity score

Hallucination score and bias score

Response accuracy and offensiveness score

3 / 60

Leadership needs to populate a dynamic form field with a summary or description created by a large
language model (LLM) to facilitate more productive conversations with customers. Leadership also
wants to keep a human in the loop to be considered in their AI strategy.
Which prompt template type should the AI Specialist recommend?

Sales Email

Field Generation

Record Summary

4 / 60

Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology. However, UC is concerned that public AI virtual assistants lack adequate company data to general useful responses.

Which solution should UC consider?

Enable Agentforce and deploy to sales users

Fine-tune the Einstein AI model with CBM data

Build Al model with Einstein discovery and deploy to sales users

5 / 60

Universal Containers has a new AI project.

What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?

Prompt Builder must be used to assign the fields from the related list as a JSON format

The fields for the related list are based on the default page layout of the Account for the current user

After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder

6 / 60

Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?

Agentforce does not have the permission to delete the user's records

Agentforce Delete Record Action permission is not associated to the user

Agentforce does not have a standard Delete Record action

7 / 60

Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. The AI Specialist is tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production.

Which other configuration steps should the AI Specialist take in the sandbox that can be deployed to the production org?

Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page lavcut

Create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents

From the Epstein setup menu, select Turn on Einstein: create custom fields to store Issue, Resolution, and Summary: create a Quick Action that updates these fields: and add the wrap up componert to the Messaging session record page layout

8 / 60

Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template.

Which flow element should UC use?

Add Flex Instructions

Add Flow Instructions

Add Prompt Instructions

9 / 60

Universal Container (UC) has effectively utilized prompt templates to update summary fields on Lightning record pages. An admin now wishes to incorporate similar functionality into UC's automation process using Flow.

How can the admin get a response from this prompt template from within a flow to use as part of UC's automation?

Flow Action

Invocable Apex

Einstein for Flow

10 / 60

Which configuration must an AI Specialist complete for users to access generative Al-enabled fields in the Salesforce mobile app?

Enable Mobile Generative AI

Enable Dynamic Forms on Mobile

Enable Mobile Prompt Responses

11 / 60

Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates.
Which type of flow should UC use?

Data Cloud-triggered flow

Unified-object linking flow

Template-triggered prompt flow

12 / 60

Universal Containers is using Einstein Copilot for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the copilot to match opportunities.
What is one criteria that Einstein Copilot for Sales uses to match similar opportunities?

Matched opportunities are limited to the same account

Matched opportunities were created in the last 12 months

Matched opportunities have a status of Closed Won from last 12 months

13 / 60

An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.
What should the AI Specialist do to identify the root cause of the problem?

In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs

In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information

In Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections

14 / 60

What is the correct process to leverage Prompt Builder in a Salesforce org?

Select the appropriate prompt template type to use, select one of Salesforce’s standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action

Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses

Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action

15 / 60

An AI Specialist turned on Einstein Generative AI in Setup. Now, the AI Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu.
What is causing the problem?

The Prompt Template User permission set was not assigned correctly

The Prompt Template Manager permission set was not assigned correctly

The large language model (LLM) was not configured correctly in Data Cloud

16 / 60

Universal Containers is planning a marketing email about products that most closely match a customer’s expressed interests.
What should an AI Specialist recommend to generate this email?

Standard email draft with Einstein and choose standard email template

Standard email marketing template using Apex or flows for matching interest in products

Custom sales email template which is grounded with interest and product information

17 / 60

Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should an AI Specialist recommend?

Use BYO-LLM functionality in Einstein Studio

Use Apex to connect to an external LLM and ground the prompt

Use Flow and External Services to bring data from an external LLM

18 / 60

Which use case is best supported by Salesforce Einstein Copilot’s capabilities?

Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data

Bring together a conversational Interface for Interacting with AI for all Salesforce users, such as developers and ecommerce retailers

Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities

19 / 60

When configuring a prompt template, an AI Specialist previews the results of the prompt template they’ve written. They see two distinct text outputs: Resolution and Response.
Which information does the Resolution text provide?

It shows the response from the LLM based on the sample record

It shows which sensitive data is masked before it is sent to the LLM

It shows the full text that is sent to the Trust Layer

20 / 60

Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.
Which feature should the AI Specialist set up to enable UC’s sales team?

Call Explorer

Call Insights

Call Summaries

21 / 60

Universal Containers (UC) wants to enable its sales reps to explore opportunities that are similar to previously won opportunities by entering the utterance, “Show me other opportunities like this one.”
How should UC achieve this in Einstein Copilot?

Use the standard Copilot action

Create a custom Copilot action calling a flow

Create a custom Copilot action calling an Apex class

22 / 60

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?

Contract Renewal Date prediction

Customer chum prediction

Product recommendation prediction

23 / 60

Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient’s contact record.
What is the most likely explanation for why the draft email shows these placeholders?

The user does not have permission to access the fields

The user’s locale language is not supported by Prompt Builder

The user does not have Einstein Sales Emails permission assigned

24 / 60

Universal Containers wants to be able to detect with a high level of confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an AI Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

Access the Toxicity Detection log in Setup and export all entries where isToxicitvDetected is true

Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold

Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores

25 / 60

Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process.
How should an AI Specialist apply the power of conversational AI to this use case?

Create a custom copilot action which calls a flow

Create a Flex prompt template in Prompt Builder

Configure the Integration Flow Standard Action in Einstein Copilot

26 / 60

Universal Containers implemented Einstein Copilot for its users. One user complains that Einstein Copilot is not deleting activities from the past 7 days.
What is the reason for this issue?

Einstein Copilot does not support the Delete Record action

Einstein Copilot does not have the permission to delete the user’s records

Einstein Copilot Delete Record Action permission is not associated to the user

27 / 60

A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features.
Which Einstein Generative AI feature should an AI Specialist recommend to help the rep get the details they might have missed during a conversation?

Call Explorer

Call Summary

Sales Summary

28 / 60

Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content safe and inclusive, utilizing the Einstein Trust Layer’s toxicity scoring to assess the content’s safety level.
What does a safety category score of 1 indicate in the Einstein Generative AI Toxicity Score?

Safe

Not safe

Moderately safe

29 / 60

Northern Trail Outfitters (NTO) wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page.
After provisioning Data Cloud, which step must an AI Specialist take to make this option available to NTO?

Turn on Prompt Builder

Turn on Einstein Copilot

Turn on Einstein Generative AI

30 / 60

Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time consuming for both UC’s sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency.
Which Salesforce feature should a Salesforce AI Specialist recommend to address these concerns?

Einstein Recommendation Builder

Einstein Copilot Action: Query Records

Einstein Prompt Builder and Prompt Templates

31 / 60

An administrator is responsible for ensuring the security and reliability of Universal Containers’ (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC’s need?

Data masking

Zero-data retention policy

Dynamic grounding with secure data retrieval

32 / 60

A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization’s knowledge base to maintain consistency and accuracy.
Which feature in Einstein for Service should the support team use?

Einstein Service Replies

Einstein Reply Recommendations

Einstein Knowledge Recommendations

33 / 60

Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.
Which steps should an AI Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?

Save as New Template and edit as needed

Save as New Version and edit as needed

Clone the existing template and modify as needed

34 / 60

Universal Containers (UC) wants to assess Salesforce’s generative AI features but has concerns over its company data being exposed to third-party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein’s generative AI service.
No data is used for LLM training or product improvements by third-party LLMs.
No data is retained outside of UC’s Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the AI Specialist highlight to UC that addresses these requirements?

Prompt Defense

Zero-Data Retention Policy

Data Masking

35 / 60

Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team’s performance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?

Call Explorer

Call Summaries

Einstein Sales Insights

36 / 60

Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishes to create a digest of account action plans using the generative API feature.
Which API service should UC use to meet this requirement?

SOAP API

REST API

Metadata API

37 / 60

How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?

Masked data will be de-masked during response journey

Masked data will be de-masked during request journey

Responses that do not meet the relevance threshold will be automatically rejected

38 / 60

What is the main purpose of Prompt Builder?

A tool within Salesforce offering real-time AI-powered suggestions and guidance to users, improving productivity and decision-making

A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently

A tool that enables companies to create reusable prompts for large language models (LLMs), bringing generative AI responses to their flow of work

39 / 60

A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Einstein Copilot capability helps the agent accomplish this?

Invoke a flow which makes a call to external data to create a Knowledge article

Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights

Execute tasks based on available actions, answering questions using information from accessible Knowledge articles

40 / 60

Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing AI-generated plans containing guidance and steps for closing deals. Which feature should the AI Specialist recommend to the sales team?

Create Close Plan

Find Similar Deals

Create Account Plan

41 / 60

A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.
How does Einstein Copilot handle user requests in Salesforce?

Einstein Copilot will perform an HTTP callout to an LLM provider

Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message

Einstein Copilot analyzes the user’s request and LLM technology is used to generate and display the appropriate response

42 / 60

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

Einstein Grounding

Einstein Service Replies

Einstein Reply Recommendations

43 / 60

What is best practice when refining Einstein Copilot custom action Instructions?

Provide examples of user messages that are expected to trigger the action

Specify the persona who will request the action

Use consistent introductory phrases and verbs across multiple action instructions

44 / 60

An AI Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.
How should the AI Specialist integrate the custom LLM into Salesforce?

Add the fine-tuned LLM in Einstein Studio Model Builder

Create an application of the custom LLM and embed It in Sales Cloud via iFrame

Enable model endpoint on OpenAI and make callouts to the model to generate emails

45 / 60

An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The AI Specialist needs to configure the system to use the most accurate and up-to-date information for email generation.
Which grounding technique should the AI Specialist use?

Ground with Apex Merge Fields

Ground with Record Merge Fields

Automatic grounding using Draft with Einstein feature

46 / 60

What is the role of the large language model (LLM) in executing an Einstein Copilot Action?

Identify the best matching actions and correct order of execution

Determine a user’s access and sort actions by priority to be executed

Find similar requests and provide the actions that need to be executed

47 / 60

The sales team at a hotel resort would like to generate a guest summary about the guests’ interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page.
Which AI capability should the team use?

Model Builder

Prompt Builder

Einstein Copilot

48 / 60

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 org is set to API version 59 or higher

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

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

49 / 60

An AI Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities.
How should the AI Specialist gather the necessary data for the prompt template?

Create a flow to retrieve the opportunity information

Select the latest Opportunities related list as a merge field

Select the Account Opportunity object as a resource when creating the prompt template

50 / 60

Universal Containers (UC) recently rolled out Einstein Generative AI 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 Einstein Trust Layer is incorrectly configured

The data being used for grounding is incorrect or incomplete

The prompt template version is incompatible with the chosen LLM

51 / 60

Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with AI-generated email responses, grounded in Knowledge base.
Which AI capability should UC use?

Einstein Email Replies

Einstein Service Replies for Email

Einstein Generative Service Replies for Email

52 / 60

An AI Specialist needs to create a Sales Email with a custom prompt template. They need to ground on the following data.

Opportunity Products -

Events near the customer -

Tone and voice examples -
How should the AI Specialist obtain related items?

Call a prompt initiated flow to fetch and ground the required data

Create a flex template that takes the records in question as inputs

Utilize a standard email template and manually insert the required data fields

53 / 60

Universal Containers wants to reduce overall agent handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields.

Einstein Service Replies and Work Summaries

Einstein Reply Recommendations and Case Summaries

Einstein Reply Recommendations and Case Classification

54 / 60

Universal Containers needs its sales reps to be able to only execute prompt templates. What should an AI Specialist recommend to achieve this requirement?

Prompt Template User permission set

Prompt Template Manager permission set

Prompt Execute Template permission set

55 / 60

Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach.
Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

Einstein Copilot Action: Summarize Record

Einstein Copilot Action: Draft or Revise Sales Email

Einstein Copilot Action: Find Similar Opportunities

56 / 60

An AI Specialist built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?

The number of tokens that can be processed by the LLM varies with total user demand

The number of tokens generated by the dynamic nature of the prompt template will vary by record

The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding

57 / 60

The marketing team at Universal Containers is looking for a way to personalize emails based on customer behavior, preferences, and purchase history. Why should the team use Einstein Copilot as the solution?

To analyze past campaign performance

To send automated emails to all customers

To generate relevant content when engaging with each customer

58 / 60

Universal Containers (UC) plans to send one of three different emails to its customers based on the customer’s lifetime value score and their market segment. Considering that UC are required to explain why an e-mail was selected, which AI model should UC use to achieve this?

Predictive model

Generative model

Predictive model and generative model

59 / 60

An AI Specialist configured Data Masking within the Einstein Trust Layer. How should the AI Specialist begin validating that the correct fields are being masked?

Request the Einstein Generative AI Audit Data from the Security section of the Setup menu

Use a Flow-based resource in Prompt Builder to debug the fields merge values using Flow Debugger

Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page

60 / 60

An administrator wants to check the response of the Flex prompt template they’ve built, but the preview button is greyed out. What is the reason for this?

The prompt has not been saved and activated

A merge field has not been inserted in the prompt

The records related to the prompt have not been selected

Your score is

The average score is 75%

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