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.

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

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

Use consistent introductory phrases and verbs across multiple action instructions.

Specify the persona who will request the action.

Universal Containers' service team wants to customize the standard case summary response from Einstein Copilot.What should the AI Specialist do to achieve this?

Create a custom Record Summary prompt template for the Case object.

Customize the standard Record Summary template for the Case object,

Summarize the Case with a standard copilot action.

Create a custom Record Summary prompt template for the Case object.

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

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

Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected 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.

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?

Clone the existing template and modify as needed.

Save as New Template and edit as needed.

Clone the existing template and modify as needed.

Save as New Version and edit as needed.

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

To generate relevant content when engaging with each customer

To analyze past campaign performance

To send automated emails to all customers

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

Response accuracy and offensiveness score

Hallucination score and bias score

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 passing in a special custom object that connects the records temporarily,

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

What is an AI Specialist able to do when the ''Enrich event logs with conversation data' setting in Einstein Copilot is enabled?

View session data including user Input and copilot responses for sessions over the past 7 days.

View the user click path that led to each copilot action.

View session data including user Input and copilot responses for sessions over the past 7 days.

Generate details reports on all Copilot conversations over any time period.

Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.What should an AI Specialist recommend to resolve the issue?

Configure data masking in the Einstein Trust Layer setup.

Enable data masking for sandbox refreshes.

Configure data masking in the Einstein Trust Layer setup.

Add new data masking rules in LLM setup.

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 records related to the prompt have not been selected.

The prompt has not been saved and activated,

A merge field has not been inserted in the prompt.

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 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.

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

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?

Dynamic grounding with secure data retrieval

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 analyzes the user's request and LLM technology is used to generate and display the appropriate response.

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

Einstein Copilot will perform an HTTP callout to an LLM provider.

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

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.

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?

Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.

Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.

Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

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

Find similar requests and provide actions that need to be executed

Identify the best matching actions and correct order of execution

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

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?

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

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.

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.

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

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

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 Knowledge Recommendations

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 Delete Record Action permission is not associated to the user.

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

Einstein Copilot does not support the Delete Record action.

Where should the AI Specialist go to add/update actions assigned to a copilot?

Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab

Copilot Actions page or Global Actions

Copilot Detail page, Global Actions, or the record page for the copilot action

Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields.Which combination of Einstein for Service features enables this effort?

Einstein Reply Recommendations and Case Classification

Einstein Service Replies and Work Summaries

Einstein Reply Recommendations and Case Summaries

Einstein Reply Recommendations and Case Classification

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?

Streamlining workflows and automating repetitive tasks

Improving data entry and data cleansing

Allowing AI to perform tasks without user interaction

Streamlining workflows and automating repetitive tasks

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 Al Specialist take to make this option available to NTO?

Turn on Einstein Generative AI.

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.

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 AlI-enabled field icon next to the summary field.What is the most likely cause of the issue?

The user does not have the field Generative AI User permission set assigned.

The user does not have the Prompt Template User permission set assigned.

The prompt template associated with summary field is not activated for that user.

The user does not have the field Generative AI User permission set assigned.

Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.What is a consideration for this requirement?

Storing this data requires Data Cloud to be provisioned.

Storing this data requires a custom object for data to be configured.

Storing this data requires Salesforce big objects.

In Model Playground, which hyperparameters of an existingSalesforce-enabled foundational model can an AI Specialist change?

Temperature, Frequency Penalty, Presence Penalty

Temperature, Top-k sampling, Presence Penalty

Temperature, Frequency Penalty, Output Tokens

How should an organization use the Einstein Trust layer to audit, track, and view masked data?

Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.

In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.

Access the audit trail in Setup and export all user-generated prompts.

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 Record Merge Fields

Automatic grounding using Draft with Einstein feature

An AI Specialist at Universal Containers (UC) Is tasked with creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is captured and monitored for adoption and possible enhancements.Which prompt template type should the AI Specialist use and which consideration should they review?

Field Generation, and that Dynamic Fields is enabled

Flex, and that Dynamic Fields is enabled

Field Generation, and that Dynamic Fields is enabled

Field Generation, and that Dynamic Forms is enabled

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?

Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.

Include multiple-choice questions within the prompt to test the LLM's understanding of the context.

Ask it to role-play as a character in the prompt template to provide more context to the LLM.

Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.

Salesforce Certified AI Specialist Practice Test 1 - Free Online Exam Prep & Questions

Question 1 / 40

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

Template-triggered prompt flow

Unified-object linking flow

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