[Q31-Q53] The Salesforce-AI-Specialist PDF Dumps Greatest for the Salesforce Exam Study Guide!

NO.31 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. Thegoal is to enhance the team’sperformance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?

Call Summaries

Einstein Sales Insights

Call Explorer

NO.32 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 Summaries

Einstein Sales Insights

Call Explorer

NO.33 Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history.
Which initial step should UC take to ensure the chatbot can deliver accurate recommendations’

Design universal product recommendations.

Write a response scrip for the chatbot.

Collect and analyze browsing data.

NO.34 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?

Enable data masking for sandbox refreshes.

Configure data masking in the Einstein Trust Layer setup.

Add new data masking rules in LLM setup.

NO.35 Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the AI Specialist investigate as the root cause?

Review that the custom action Is assigned to an Agent.

Review the action Instructions to ensure they are unique.

Ensure the input and output types are correctly chosen.

NO.36 How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?

Retrieves Salesforce data based on the ‘Run As” users permissions.

Retrieves Salesforce data based on the user’s permissions executing the prompt.

Retrieves Salesforces data based on the Prompt template’s object permissions.

NO.37 Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) inaprompt 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.

NO.38 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 findthat the draft email containsplaceholders 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.

NO.39 Universal Containers plans to enhance the customer support team’s productivity using AI.
Which specific use case necessitates the use of Prompt Builder?

Creating a draft of a support bulletin post for new product patches

Creating an Al-generated customer support agent performance score

Estimating support ticket volume based on historical data and seasonal trends

NO.40 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: Find Similar Opportunities

Einstein Copilot Action: Draft or Revise Sales Email

Einstein Copilot Action: Summarize Record

NO.41 An AI Specialist is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends.
What functionality allows the AX Specialist to achieve this?

User Utterances dashboard

Agent Event Logs dashboard

AI Audit & Feedback Data dashboard

NO.42 Universal Containers plans to enhance its sales team’s productivity using Al.
Which specific requirement necessitates the use of Prompt Builder?

Predicting the likelihood of customers churning or discontinuing their relationship with the company

Creating a draft newsletter for an upcoming tradeshow

Creating an estimated Customer Lifetime Value (CLV) with historical purchase data

NO.43 An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads basedon their interactions and data stored in Salesforce. The AI Specialist needsto 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

NO.44 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.

NO.45 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.

NO.46 An AI Specialist wants to troubleshoot their Agent’s performance.
Where should the AI Specialist go to access all user interactions with the Agent, including Agent erro|rs, incorrectly triggered actions, and incomplete plans?

Event Logs

Plan Canvas

Agent Settings

NO.47 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.

NO.48 Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

Secure Data Retrieval and Grounding

Data Masking

Prompt Defense

NO.49 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

NO.50 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

NO.51 A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities.
How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?

The LLM interprets the user’s request, generates a plan by identifying the apcMopnete topics and actions, and executes the actions to retrieve and display the open opportunities

The LLM uses a static set of rules to match the user’s request with predefined topics and actions, bypassing the need for dynamic interpretation and planning.

Using a dialog pattern. the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a fast of open opportunities.

NO.52 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?

fine-tune the Einstein AI model with CBM data.

Build Al model with Einstein discovery and deploy to sales users.

Enable Agentforce and deploy to sales users.

* Context of the Question: Universal Containers (UC) wants to harness generative AI to boost sales productivity. They are wary of public AI virtual assistants (like generic chatbots) that lack sufficient UC-specific data to generate useful business responses.
* Why Fine-Tune an Einstein AI Model with CRM Data?
* Company-Specific Relevance: By fine-tuning Einstein AI with UC’s CRM data (accounts, opportunities, products, and historical interactions), the model learns the enterprise-specific context. This ensures that the generative outputs are accurate and tailored to UC’s sales scenarios.
* Security and Compliance: Using Salesforce Einstein within the Salesforce ecosystem keeps data under UC’s control, aligning with trust, security, and compliance requirements.
* Better Predictions: Einstein AI can produce more relevant insights (e.g., recommended next steps, content suggestions, or AI-generated email responses) when it has been trained on real, high-quality internal data.
* Why Not Build an AI Model with Einstein Discovery (Option B)?
* Einstein Discovery Use Case: Einstein Discovery is best suited for predictive and prescriptive analytics (e.g., analyzing large data sets for patterns, scoring leads, or predicting churn). While it provides advanced analytics, it is not primarily designed for generative text-based interactions for end-user consumption in a conversational format.
* Why Not Enable Agentforce (Option C)?
* Agentforce Overview: “Agentforce” (sometimes referencing a pilot or non-mainstream name) typically focuses on interactive help or workforce collaboration. It does not inherently solve the problem of large-scale generative AI using internal CRM data. Moreover, you still need a robust generative engine fine-tuned on company data.
* Outcome: Fine-tuning the Einstein AI model with UC’s CRM data (Answer A) is the most direct, Salesforce-native solution to provide generative AI responses that are aligned with UC’s context, driving productivity gains and ensuring data privacy.
Salesforce AI Specialist References & Documents
* Salesforce Official: Einstein GPT Overview
* Discusses how Einstein GPT can be fine-tuned with specific CRM data to deliver contextually relevant, generative AI responses.
* Salesforce Trailhead:Get Started with Salesforce Einstein
* Explains the fundamentals of AI within the Salesforce platform, including training and optimizing Einstein models.
* Salesforce Documentation: Einstein Discovery
* Details how Einstein Discovery is primarily used for advanced analytics and predictions, not direct generative text solutions.
* Salesforce AI Specialist Study Guide
* Provides the official outline of Einstein AI capabilities, referencing how to configure and fine- tune models for specialized enterprise use cases.

NO.53 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 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

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