What is the main purpose of Prompt Builder?

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

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

A tool within Salesforce offering real-time Al-powered suggestions and guidance to users, Improving productivity and decision-making.

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

Einstein Service Replies for Email

Einstein Generative Service Replies for Email

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 BYO-LLM functionality in Einstein Studio,

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

Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.Which use case works for this scenario?

Predict customer lifetime value of an account.

Predict customer sentiment toward a promotion message.

Predict customer lifetime value of an account.

Predict most popular products from new product catalog.

An AI Specialist at Universal Containers is working on a prompt template to generate personalized emails for product demonstration requests from customers. It is important for the Al-generated email to adhere strictly to the guidelines, using only associated opportunity information, and to encourage the recipient to take the desired action.How should the AI Specialist include these instructions on a new line in the prompt template?

Surround them with triple quotes (''').

Make sure merged fields are defined.

Use curly brackets {} to encapsulate instructions.

An AI Specialist wants to ground a new prompt template with the User related list.What should the AI Specialist consider?

The User related list is not supported in prompt templates.

The User related list should have View All access.

The User related list needs to be included on the record page.

The User related list is not supported in prompt templates.

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

Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.

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

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

An AI Specialist wants to use the related lists from an account in a custom prompt template.What should the AI Specialist consider when configuring the prompt template?

The maximum number of related list merge fields

The text encoding (for example, UTF-8, ASCII) option

The maximum number of related list merge fields

The choice between XML and JSON rendering formats for the list

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 have a status of Closed Won from last 12 months.

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.

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.

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?

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

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

Standard email draft with Einstein and choose standard email template

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

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.

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.

An AI Specialist wants to include data from the response of external service invocation (REST API callout) into the prompt template.How should the AI Specialist meet this requirement?

Use External Service Record merge fields.

Convert the JSON to an XML merge field.

Use External Service Record merge fields.

Use ''Add Prompt Instructions'' flow element.

An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AISpecialist 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.

Add the fine-tuned LLM in Einstein Studio Model Builder.

Enable model endpoint on OpenAl and make callouts to the model to generate emails.

What should an AI Specialist consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

The Activities related list on the Account object is not supported because it is a polymorphic field.

If person accounts have been enabled, merge fields will not be available for the Account object.

Prompt generation will yield no response when there is no related list associated with an Account in runtime.

Universal Containers recently launched a pilot program to integrate conversational AI into its CRM business operations with Einstein Copilot.How should the AI Specialist monitor Copilot's usability and the assignment of actions?

Run Einstein Copilot Analytics.

Run a report on the Platform Debug Logs.

Query the Copilot log data using the metadata API.

Run Einstein Copilot Analytics.

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 Prompt Builder and Prompt Templates

Einstein Recommendation Builder

Einstein Copilot Action: Query Records

Einstein Prompt Builder and Prompt Templates

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 does not have Einstein Sales Emails permission assigned.

The user does not have permission to access the fields.

The user's locale language is not supported by Prompt Builder.

Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information.In refining its prompt design strategy, which key practices should UC prioritize?

Create concise, clear, and consistent prompt templates with effective grounding, contextual role-playing, clear instructions, and iterative feedback.

Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.

Create concise, clear, and consistent prompt templates with effective grounding, contextual role-playing, clear instructions, and iterative feedback.

Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.

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 examplesHow should the AI Specialist obtain related items?

Call 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.

Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the 'Save As' function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters.What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?

Manually add the hyperparameters to the new template.

Use Model Playground to create a model configuration with the specified parameters.

Manually add the hyperparameters to the new template.

Revert to using the standard template without modifications.

Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users.When would Einstein Copilot implementation be most advantageous?

When the goal is to streamline customer support processes and improve response times

When the main objective is to enhance data security and compliance measures

When the focus is on optimizing marketing campaigns and strategies

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

Select the latest Opportunities related list as a merge field.

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?

Data Cloud Admin and Prompt Template Manager

Prompt Template Manager and Prompt Template User

Prompt Template User and Data Cloud Admin

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.

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

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

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 the full text that is sent to the Trust Layer.

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.

What is the primary function of the planner service in the Einstein Copilot system?

Identifying copilot actions to respond to user utterances

Generating record queries based on conversation history

Offering real-time language translation during conversations

Identifying copilot actions to respond to user utterances

Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched 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.

Create a custom copilot action which calls a flow.

Configure the Integration Flow Standard Action in Einstein Copilot.

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 and generative model

Salesforce Certified AI Specialist Practice Test 2 - Free Online Exam Prep & Questions

Question 1 / 40

Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding.

Which objects should UC select to configure Service AI Grounding?

Case, Knowledge, and Case Notes

Case and Knowledge

Case, Case Emails, and Knowledge

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