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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	Einstein Trust Layer: This section evaluates the skills of Salesforce administrators responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.
Topic 2	Model Builder: This portion of the exam focuses on Salesforce developers' 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 3	Generative AI in CRM Applications: This part of the exam assesses Salesforce professionals’ 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	Einstein Copilot: This section assesses Salesforce consultants' skills in using Einstein Copilot in CRM workflows. It includes identifying when Einstein Copilot is appropriate based on business requirements, understanding how the large language model (LLM) performs copilot actions, and creating both standard and custom copilot actions.
Topic 5	Prompt Builder: This section evaluates the expertise of Salesforce consultants and administrators working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.

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Salesforce Certified AI Specialist Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
The AI Specialist of Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should the AI Specialist take upon modifying the masked fields?

A. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.
B. Turn off the Einstein Trust Layer and turn it on again.
C. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

Answer: C

Explanation:
After modifying masked fields inEinstein's Trust Layer, the next important step is totest and confirmthat the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
* Option Bis correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.
* Option A(turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.
* Option C(turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.
References:
* Salesforce Einstein Trust Layer Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm

NEW QUESTION # 31
An AI Specialist is creating a custom action in Einstein Copilot.
Which option is available for the AI Specialist to choose for the custom copilot action?

A. Flows
B. Apex trigger
C. SOQL

Answer: A

Explanation:
When creating acustom actionin Einstein Copilot, one of the available options is to useFlows. Flows are a powerful automation tool in Salesforce, allowing the AI Specialist to define custom logic and actions within the Copilot system. This makes it easy to extend Copilot's functionality without needing custom code.
WhileApex triggersandSOQLare important Salesforce tools,Flowsare the recommended method for creating custom actions within Einstein Copilot because they are declarative and highly adaptable.
For further guidance, refer toSalesforce Flow documentationandEinstein Copilot customization resources.

NEW QUESTION # 32
Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing Al-generated plans containing guidance and steps for closing deals.
Which feature should the AI Specialist recommend to the sales team?

A. Create Close Plan
B. Create Account Plan
C. Find Similar Deals

Answer: A

Explanation:
The"Create Close Plan"feature is designed to help sales reps by providingAI-generated strategies and stepsspecifically focused on closing deals. This feature leverages AI to analyze the current state of opportunities and generate a plan that outlines the actions, timelines, and key steps required to movedeals toward closure. It aligns directly with the sales team's need to meet quotas by offering actionable insights and structured plans.
* Find Similar Deals(Option A) helps sales reps discover opportunities similar to their current deals but doesn't offer a plan for closing.
* Create Account Plan(Option B) focuses on long-term strategies for managing accounts, which might include customer engagement and retention, but doesn't focus on deal closure.
Salesforce AI Specialist References:For more information on using AI for sales, visit:https://help.salesforce.
com/s/articleView?id=sf.einstein_for_sales_overview.htm

NEW QUESTION # 33
What is the primary function of the planner service in the Einstein Copilot system?

A. Generating record queries based on conversation history
B. Identifying copilot actions to respond to user utterances
C. Offering real-time language translation during conversations

Answer: B

Explanation:
The primary function of theplanner servicein theEinstein Copilotsystem is toidentify copilot actionsthat should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that theEinstein Copilotshould perform based on user input.

NEW QUESTION # 34
Anadministrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC's need?

A. Dynamic grounding with secure data retrieval
B. Data masking
C. Zero-data retention policy

Answer: A

Explanation:
Dynamic grounding with secure data retrieval is a key feature in Salesforce'sEinstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allowsrelevant Salesforce datato be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model's outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
* Data maskingrefers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
* Zero-data retention policyensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
References:
* Salesforce Developer Documentation onEinstein Trust Layer
* Salesforce Security Documentation for AI andData Privacy

NEW QUESTION # 35
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