HIGH-QUALITY NEW SALESFORCE-AI-SPECIALIST EXAM FORMAT–AUTHORITATIVE CURRENT EXAM CONTENT PROVIDERS FOR SALESFORCE-AI-SPECIALIST: SALESFORCE CERTIFIED AI SPECIALIST EXAM

High-quality New Salesforce-AI-Specialist Exam Format–Authoritative Current Exam Content Providers for Salesforce-AI-Specialist: Salesforce Certified AI Specialist Exam

High-quality New Salesforce-AI-Specialist Exam Format–Authoritative Current Exam Content Providers for Salesforce-AI-Specialist: Salesforce Certified AI Specialist Exam

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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.
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
  • 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.

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Salesforce Certified AI Specialist Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
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 # 33
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?

  • A. Event Logs
  • B. Agent Settings
  • C. Plan Canvas

Answer: C

Explanation:
Event Logs in Salesforce capture detailed interaction data, including agent errors, triggered actions, and incomplete plans. These logs provide visibility into user-Agent interactions for troubleshooting performance issues. The Einstein Bot Analytics documentation highlights Event Logs as the primary source for auditing bot behavior and diagnosing issues like misconfigured actions or plan execution failures.
* Plan Canvas (B) is for designing workflows, not auditing.
* Agent Settings (C) control configuration but do not store interaction history.


NEW QUESTION # 34
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

  • A. Data Masking
  • B. Prompt Defense
  • C. Secure Data Retrieval and Grounding

Answer: B

Explanation:
Prompt Defenseis a feature in theEinstein Trust Layerthat helps minimize the risks ofjailbreakingand prompt injection attacks. These attacks occur when malicious users try to manipulate the AI model by providing unintended inputs.Prompt Defenseensures that the prompts are processed securely, protecting the system from such vulnerabilities.
* Option A(Secure Data Retrieval and Grounding) relates to ensuring that data used by AI is securely retrieved but does not address prompt security.
* Option B(Data Masking) focuses on protecting sensitive information but does not prevent injection attacks.
For more information, refer toSalesforce's Einstein Trust Layer documentationonPrompt Defenseand security features.


NEW QUESTION # 35
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 were created in the last 12 months.
  • B. Matched opportunities have a status of Closed Won from last 12 months.
  • C. Matched opportunities are limited to the same account.

Answer: B

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 # 36
An AI Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities.
How should the AI Specialist gather the necessary data for the prompt template?

  • A. Select the latest Opportunities related list as a merge field.
  • B. Select the Account Opportunity object as a resource when creating the prompt template.
  • C. Create a flow to retrieve the opportunity information.

Answer: C

Explanation:
To gather the necessary data for populating the Latest Opportunities Summary custom field on the Account object with information from the three most recently opened opportunities, the AI Specialist should create a flow. A flow can be configured to query and retrieve the required opportunity records based on criteria such as their open date. Once the flow has gathered the necessary data, it can be used in a prompt template or other automation processes to populate the custom field on the Account record.
Option A is correct because creating a flow allows for dynamic data retrieval and control over the logic for selecting the most recent opportunities.
Option B and Option C do not provide sufficient control or data retrieval capabilities needed for this scenario.
Reference:
Salesforce Flow Documentation: https://help.salesforce.com/s/articleView?id=sf.flow.htm


NEW QUESTION # 37
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