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Dump Salesforce Salesforce-AI-Specialist Check | Salesforce-AI-Specialist Test Sample Questions

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic
Details

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

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 3

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 4

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 5

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.

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Salesforce Salesforce-AI-Specialist Test Sample Questions - Exam Salesforce-AI-Specialist Introduction

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Salesforce Certified AI Specialist Exam Sample Questions (Q111-Q116):

NEW QUESTION # 111
Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the
"Save As" function. However,UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters.
What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?

A. Revert to using the standard template without modifications.
B. Use Model Playground to create a model configuration with the specified parameters.
C. Manually add the hyperparameters to the new template.

Answer: C

Explanation:
WhenUniversal Containerscreates a new Sales Email prompt template using the"Save As"function, missing hyperparameters can result in different outputs. To ensure the new prompt produces comparable results to the standard Sales Email prompt, the AI Specialist shouldmanually add the necessary hyperparametersto the new template.
* Hyperparameters likeTemperature,Frequency Penalty, andPresence Penaltydirectly affect how the AI generates responses. Ensuring that these are consistent with the standard template will result in similar outputs.
* Option A (Model Playground)is not necessary here, as it focuses on fine-tuning models, not adjusting templates directly.
* Option C (Reverting to the standard template)does not solve the issue of customizing the prompt template.
For more information, refer toPrompt Builder documentationon configuring hyperparameters in custom templates.

NEW QUESTION # 112
Which use case is best supported by Salesforce Einstein Copilot's capabilities?

A. Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
B. Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.
C. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities

Answer: B

Explanation:
Salesforce Einstein Copilot is designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as an AI-powered assistant that facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.
Option A is correct because Einstein Copilot brings a conversational interface that caters to a wide range of users.
Option B and Option C are more focused on developing and training AI models, which are not the primary functions of Einstein Copilot.
Reference:
Salesforce Einstein Copilot Overview: https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.htm

NEW QUESTION # 113
Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach.
Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

A. Einstein Copilot Action: Find Similar Opportunities
B. Einstein Copilot Action: Draft or Revise Sales Email
C. Einstein Copilot Action: Summarize Record

Answer: B

Explanation:
For sales reps who need to draft personalized emails based on previous communications, the AI Specialist should recommend theEinstein Copilot Action: Draft or Revise Sales Email. This action uses AI to generate or revise email content, leveraging past successful communications to create personalized and relevant outreach to prospects or clients.
* Find Similar Opportunitiesis used for opportunity matching, not email drafting.
* Summarize Recordprovides a summary of customer data but does not directly help with drafting emails.
For more information, refer toSalesforce's Einstein Copilot documentationon standard actions for sales teams.

NEW QUESTION # 114
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 # 115
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. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
B. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
C. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.

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 # 116
......

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