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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 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 (Q71-Q76):

NEW QUESTION # 71
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?

A. Agent Event Logs dashboard
B. User Utterances dashboard
C. AI Audit & Feedback Data dashboard

Answer: B

Explanation:
The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the AI Specialist to:
* Identify Common Queries: Surface frequently asked questions or recurring issues.
* Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.
* Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.
Why Other Options Are Incorrect:
* B. Agent Event Logs dashboard: Focuses on agent activity (e.g., response times, resolved cases) rather than user input analysis.
* C. AI Audit & Feedback Data dashboard: Tracks AI model performance, audit trails, and user feedback scores but does not directly analyze raw user utterances or queries.
References:
* Salesforce Einstein AI Specialist Certification Guide: Emphasizes the User Utterances dashboard as the primary tool for analyzing user inputs to improve conversational AI.
* Trailhead Module: "Einstein Bots Basics" highlights using the dashboard to refine bot training based on user interaction data.
* Salesforce Help Documentation: Describes the User Utterances dashboard as critical for identifying trends in customer interactions.

NEW QUESTION # 72
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?

A. Matched opportunities have a status of Closed Won from last 12 months.
B. Matched opportunities were created in the last 12 months.
C. Matched opportunities are limited to the same account.

Answer: A

Explanation:
WhenEinstein Copilot for Salesmatches similar opportunities, one of the primary criteria used is whether the opportunities have astatus of Closed Wonwithin thelast 12 months. This is a key factor in identifying successful patterns that could help close current deals. By focusing on opportunities that have been recently successful, Einstein Copilot can provide relevant insights and suggestions to sales reps to help them close similar deals faster.
For more information, reviewSalesforce Einstein Copilot documentationrelated toopportunity matching and sales success patterns.

NEW QUESTION # 73
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?

A. The choice between XML and JSON rendering formats for the list
B. The text encoding (for example, UTF-8, ASCII) option
C. The maximum number of related list merge fields

Answer: C

Explanation:
When configuring a custom prompt template to use related lists, the AI Specialist must be aware of the maximum number of related list merge fields that can be included. Salesforce enforces limits to ensure prompt templates perform efficiently and do not overload the system with too much data. As a best practice, it's important to monitor and optimize the number of merge fields used.
Option B is correct because there is a limit on how many related list merge fields can be included in a prompt template.
Option A (text encoding) and Option C (XML/JSON rendering) are not key considerations in this context.
Reference:
Salesforce Prompt Builder Documentation: https://help.salesforce.com/s/articleView?id=sf.prompt_builder.htm

NEW QUESTION # 74
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?

A. Create a Flex template to add resources with standard and custom objects as inputs.
B. Create a prompt template-triggered flow to access the data from standard and custom objects.
C. Create a prompt template passing in a special custom object that connects the records temporarily,

Answer: A

Explanation:
Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using a Flex template.
Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows.
Reference:
Salesforce AI Specialist Documentation - Flex Templates: Explains how Flex templates can be utilized to incorporate data from multiple sources, providing a flexible solution for complex data requirements in prompt templates.

NEW QUESTION # 75
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?

A. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.
B. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.
C. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.

Answer: C

Explanation:
When troubleshooting a copilot custom action using flow as the reference action type, enabling dynamic debugging within Copilot Builder's Dynamic Panel is the most effective way to identify the root cause. By turning on dynamic debugging, the AI Specialist can see detailed logs showing both the inputs and outputs of the flow, which helps identify where the action might be failing or not delivering the expected results.
Option B, confirming selected actions and observing the Input and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging.
Option C, verifying the user utterance and reviewing session event logs, could provide helpful context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.
Salesforce AI Specialist Reference:
To explore more about dynamic debugging in Copilot Builder, see: https://help.salesforce.com/s/articleView?id=sf.copilot_custom_action_debugging.htm

NEW QUESTION # 76
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