Salesforce AI Specialist Quiz

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 a report on the Platform Debug Logs.

• Query the Copilot log data using the metadata API.

• Run Einstein Copilot Analytics.

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.

• A merge field has not been inserted in the prompt.

• The prompt has not been saved and activated.

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 'Add Prompt Instructions' flow element.

• Use External Service Record merge fields.

• Convert the JSON to an XML merge field.

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

• 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.

• Identify the best matching actions and correct order of execution.

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

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

• Mark this item for later review.

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

An AI Specialist wants to use the related lists from an account ina

custom prompt template.

What should the AI Specialist consider when configuring the prompt

template?

• 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 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 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.

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

• 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.

• 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.

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?

• 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.