SALESFORCE SALESFORCE-AI-SPECIALIST AUTHORIZED TEST DUMPS, SALESFORCE-AI-SPECIALIST EXAMCOLLECTION DUMPS TORRENT

Salesforce Salesforce-AI-Specialist Authorized Test Dumps, Salesforce-AI-Specialist Examcollection Dumps Torrent

Salesforce Salesforce-AI-Specialist Authorized Test Dumps, Salesforce-AI-Specialist Examcollection Dumps Torrent

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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
  • 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 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
  • 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.

Salesforce Certified AI Specialist Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

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

Answer: C

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 # 102
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: C

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.
References:
* Salesforce Einstein Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm


NEW QUESTION # 103
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 # 104
What is the primary function of the planner service in the Einstein Copilot system?

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

Answer: A

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 # 105
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?

  • A. Create a custom Copilot action calling a flow.
  • B. Create a custom Copilot action calling an Apex class.
  • C. Use the standard Copilot action.

Answer: C

Explanation:
Universal Containers can achieve the request to explore similar opportunities by using thestandard Copilot action.Einstein Copilothas built-in actions to handle natural language queries, such as "Show me other opportunities like this one." The standard action will process the query and return results based on predefined matching criteria like opportunity details and past Closed Won deals.
This approach avoids the need to create custom flows or Apex classes, leveraging out-of-the-box functionality.
For further details, refer toEinstein Copilot for Sales documentationregarding standard actions and natural language processing.


NEW QUESTION # 106
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