BOOKS SALESFORCE-AI-SPECIALIST PDF | NEW SALESFORCE-AI-SPECIALIST BRAINDUMPS FREE

Books Salesforce-AI-Specialist PDF | New Salesforce-AI-Specialist Braindumps Free

Books Salesforce-AI-Specialist PDF | New Salesforce-AI-Specialist Braindumps Free

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Prompt Builder: This section evaluates the expertise of AI specialists working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.
Topic 2
  • Generative AI in CRM Applications: This part of the exam assesses AI specialists’ knowledge of generative AI within CRM systems. It covers the use of generative AI features in Einstein for Sales and Einstein for Service.
Topic 3
  • Model Builder: This portion of the exam focuses on Salesforce AI specialists' expertise in working with AI models within Salesforce environments. Candidates will need to demonstrate knowledge of when to use the Model Builder and how to configure standard, custom, or Bring Your Own Large Language Model (BYOLLM) generative models to meet business needs.
Topic 4
  • Agentforce Tools: In this topic, AI specialists get knowledge using agents when it is appropriate. Moreover, the topic explains the working of agents and reasoning engine powers Agentforce. Lastly, the topic focuses on managing and monitoring agent adoption.
Topic 5
  • Einstein Trust Layer: This section evaluates the skills of Salesforce AI specialists responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.

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Salesforce Certified AI Specialist Exam Sample Questions (Q154-Q159):

NEW QUESTION # 154
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?

  • A. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.
  • B. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
  • C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

Answer: A

Explanation:
To begin validating that the correct fields are being masked in Einstein Trust Layer, the AI Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.
Option B is correct because it allows for the retrieval of audit data that can be used to validate data masking.
Option A (Flow Debugger) and Option C (Einstein Feedback) do not relate to validating field masking in the context of the Einstein Trust Layer.
Reference:
Salesforce Einstein Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm


NEW QUESTION # 155
Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.
Which feature should the AI Specialist set up to enable UC's sales team?

  • A. Call Explorer
  • B. Call Summaries
  • C. Call Insights

Answer: C

Explanation:
To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the AI Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.
* Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.
* Call Explorer is a tool for navigating through call data but does not focus on automatic insights.
For more information, refer to Salesforce's Call Insights documentation regarding the analysis of call content and extracting actionable information.


NEW QUESTION # 156
What is an appropriate use case for leveraging Agentforce Sales Agent in a sales context?

  • A. Enable a sates team to use natural language to invoke defined sales tasks grounded in relevant data and be able to ensure company policies are applied. conversationally and in the now or work.
  • B. Instantly review and read incoming messages or emails that are then logged to the correct opportunity, contact, and account records to provide a full view of customer interactions and communications.
  • C. Enable a sales team by providing them with an interactive step-by-step guide based on business rules to ensure accurate data entry into Salesforce and help close deals fatter.

Answer: A

Explanation:
Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce's vision of conversational AI streamlining workflows without compromising compliance.
* Step-by-step guides (B) are typically handled by tools like Dynamic Forms or Guided Selling, not Agentforce.
* Logging messages/emails (C) is managed by Email-to-Case or Service Cloud, not a sales-specific AI agent.


NEW QUESTION # 157
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 examples
How should the AI Specialist obtain related items?

  • A. Utilize a standard email template and manually insert the required data fields.
  • B. Call prompt initiated flow to fetch and ground the required data.
  • C. Create a flex template that takes the records in question as inputs.

Answer: B


NEW QUESTION # 158
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?

  • A. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
  • B. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
  • C. Invoke a flow which makes a call to external data to create a Knowledge article.

Answer: B

Explanation:
In this scenario, theEinstein Copilotcapability that best helps the agent is its ability toexecute tasks based on available actionsandanswer questionsusing data from Knowledge articles. Einstein Copilot can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.
This feature leverages the agent's existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer's needs.
The other options are incorrect:
* Brefers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
* Cfocuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.
References:
* Salesforce Documentation onEinstein Copilot
* Trailhead Module onEinstein for Service


NEW QUESTION # 159
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