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?
AThe Einstein Trust Layer is incorrectly configured.
BThe data being used for grounding is incorrect or incomplete.
CThe prompt template version is incompatible with the chosen LLM.
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?
AA merge field has not been inserted in the prompt.
BThe records related to the prompt have not been selected.
CThe prompt has not been saved and activated.
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?
AEinstein Email Replies
BEinstein Generative Service Replies for Email
CEinstein Service Replies for Email
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?
AUse a Flow-based resource in Prompt Builder to debug the fields merge values using Flow Debugger.
BEnable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
CRequest the Einstein Generative AI Audit Data from the Security section of the Setup menu.
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Prompt Builder
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Einstein Trust Layer
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Einstein Trust Layer
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Generative AI in CRM Applications
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Einstein Trust Layer
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Einstein Trust Layer
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Prompt Builder
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Generative AI in CRM Applications
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Prompt Builder
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Einstein Trust Layer
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Generative AI in CRM Applications
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Model Builder
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Generative AI in CRM Applications
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Prompt Builder
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Agentforce Tools
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Einstein Trust Layer
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Generative AI in CRM Applications
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Generative AI in CRM Applications
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Generative AI in CRM Applications
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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?
ASelect the Account Opportunity object as a resource when creating the prompt template.
BCreate a flow to retrieve the opportunity information.
CSelect the latest Opportunities related list as a merge field.
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?
AThat the Lightning page layout where the field will reside has been upgraded to Dynamic Forms
BThat the field chosen must be a rich text field with 255 characters or more
CThat the org is set to API version 59 or higher
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?
APredictive model and generative model
BPredictive model
CGenerative model
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?
AModel Builder
BEinstein Copilot
CPrompt Builder
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.
AEinstein Service Replies and Work Summaries
BEinstein Reply Recommendations and Case Classification
CEinstein Reply Recommendations and Case Summaries
Universal Containers needs its sales reps to be able to only execute prompt templates.
What should an AI Specialist recommend to achieve this requirement?
APrompt Template Manager permission set
BPrompt Execute Template permission set
CPrompt Template User permission set
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?
AAutomatic grounding using Draft with Einstein feature
BGround with Apex Merge Fields
CGround with Record Merge Fields
What is best practice when refining Einstein Copilot custom action Instructions?
AProvide examples of user messages that are expected to trigger the action.
BUse consistent introductory phrases and verbs across multiple action instructions.
CSpecify the persona who will request the action.
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?
ACreate Account Plan
BFind Similar Deals
CCreate Close Plan
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?
ASave as New Template and edit as needed.
BClone the existing template and modify as needed.
CSave as New Version and edit as needed.
How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?
AResponses that do not meet the relevance threshold will be automatically rejected.
BMasked data will be de-masked during response journey.
CMasked data will be de-masked during request journey.
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?
ATo generate relevant content when engaging with each customer
BTo analyze past campaign performance
CTo send automated emails to all customers
Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls.
How should UC meet this requirement?
AEnable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
BEnable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.
CEnable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.
Which features should the AI Specialist recommend?
AService Replies and Case Summaries
BReply Recommendations and Sales Summaries
CService Replies and Work Summaries
A data scientist needs to view and manage models in Einstein Studio. The data scientist also needs to create prompt templates in Prompt Builder.
Which permission sets should an AI Specialist assign to the data scientist?
APrompt Template Manager and Prompt Template User
BPrompt Template User and Data Cloud Admin
CData Cloud Admin and Prompt Template Manager
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?
AIn Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
BIn Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.
CIn Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.
Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AI-enabled field icon next to the summary field.
What is the most likely cause of the issue?
AThe prompt template associated with summary field is not activated for that user.
BThe user does not have the field Generative AI User permission set assigned.
CThe user does not have the Prompt Template User permission set assigned.
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?
AEinstein Service Replies
BEinstein Reply Recommendations
CEinstein Knowledge Recommendations
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?
AEinstein Copilot Action: Summarize Record
BEinstein Copilot Action: Find Similar Opportunities
CEinstein Copilot Action: Draft or Revise Sales Email
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?
ACreate an application of the custom LLM and embed It in Sales Cloud via iFrame.
BEnable model endpoint on OpenAI and make callouts to the model to generate emails.
CAdd the fine-tuned LLM in Einstein Studio Model Builder.