REALISTIC SALESFORCE SALESFORCE-AI-SPECIALIST TEST SAMPLE QUESTIONS - SALESFORCE-AI-SPECIALIST FREE DOWNLOAD

Realistic Salesforce Salesforce-AI-Specialist Test Sample Questions - Salesforce-AI-Specialist Free Download

Realistic Salesforce Salesforce-AI-Specialist Test Sample Questions - Salesforce-AI-Specialist Free Download

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Salesforce Certified AI Specialist Exam Sample Questions (Q93-Q98):

NEW QUESTION # 93
The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.
Why should the team use Einstein Copilot as the solution?

  • A. To analyze past campaign performance
  • B. To send automated emails to all customers
  • C. To generate relevant content when engaging with each customer

Answer: C

Explanation:
Einstein Copilot is designed to assist in generating personalized, AI-driven content based on customer data such as behavior, preferences, and purchase history. For the marketing team at Universal Containers, this is the perfect solution to create dynamic and relevant email content. By leveraging Einstein Copilot, they can ensure that each customer receives tailored communications, improving engagement and conversion rates.
Option A is correct as Einstein Copilot helps generate real-time, personalized content based on comprehensive data about the customer.
Option B refers more to Einstein Analytics or Marketing Cloud Intelligence, and Option C deals with automation, which isn't the primary focus of Einstein Copilot.
Reference:
Salesforce Einstein Copilot Overview: https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.htm


NEW QUESTION # 94
An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.
How should the AI Specialist integrate the custom LLM into Salesforce?

  • A. Enable model endpoint on OpenAl and make callouts to the model to generate emails.
  • B. Add the fine-tuned LLM in Einstein Studio Model Builder.
  • C. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.

Answer: B

Explanation:
Since security and data privacy are critical, the best option for the AI Specialist is to integrate the fine-tuned LLM (Large Language Model)into Salesforce by adding it toEinstein Studio Model Builder.Einstein Studioallows organizations to bring their own AI models (BYOM), ensuring the model is securely managed within Salesforce's environment, adhering to data privacy standards.
* Option A(embedding via iFrame) is less secure and doesn't integrate deeply with Salesforce's data and security models.
* Option C(making callouts to OpenAI) raises concerns about data privacy, as sensitive Salesforce data would be sent to an external system.
Einstein Studioprovides the most secure and seamless way to integrate custom AI models while maintaining control over data privacy and compliance. More details can be found inSalesforce's Einstein Studio documentationon integrating external models.


NEW QUESTION # 95
Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology.
However, UC is concerned that public AI virtual assistants lack adequate company data to general useful responses.
Which solution should UC consider?

  • A. Enable Agentforce and deploy to sales users.
  • B. fine-tune the Einstein AI model with CBM data.
  • C. Build Al model with Einstein discovery and deploy to sales users.

Answer: B

Explanation:
* Context of the Question: Universal Containers (UC) wants to harness generative AI to boost sales productivity. They are wary of public AI virtual assistants (like generic chatbots) that lack sufficient UC-specific data to generate useful business responses.
* Why Fine-Tune an Einstein AI Model with CRM Data?
* Company-Specific Relevance: By fine-tuning Einstein AI with UC's CRM data (accounts, opportunities, products, and historical interactions), the model learns the enterprise-specific context. This ensures that the generative outputs are accurate and tailored to UC's sales scenarios.
* Security and Compliance: Using Salesforce Einstein within the Salesforce ecosystem keeps data under UC's control, aligning with trust, security, and compliance requirements.
* Better Predictions: Einstein AI can produce more relevant insights (e.g., recommended next steps, content suggestions, or AI-generated email responses) when it has been trained on real, high-quality internal data.
* Why Not Build an AI Model with Einstein Discovery (Option B)?
* Einstein Discovery Use Case: Einstein Discovery is best suited for predictive and prescriptive analytics (e.g., analyzing large data sets for patterns, scoring leads, or predicting churn). While it provides advanced analytics, it is not primarily designed for generative text-based interactions for end-user consumption in a conversational format.
* Why Not Enable Agentforce (Option C)?
* Agentforce Overview: "Agentforce" (sometimes referencing a pilot or non-mainstream name) typically focuses on interactive help or workforce collaboration. It does not inherently solve the problem of large-scale generative AI using internal CRM data. Moreover, you still need a robust generative engine fine-tuned on company data.
* Outcome: Fine-tuning the Einstein AI model with UC's CRM data (Answer A) is the most direct, Salesforce-native solution to provide generative AI responses that are aligned with UC's context, driving productivity gains and ensuring data privacy.
Salesforce AI Specialist References & Documents
* Salesforce Official: Einstein GPT Overview
* Discusses how Einstein GPT can be fine-tuned with specific CRM data to deliver contextually relevant, generative AI responses.
* Salesforce Trailhead:Get Started with Salesforce Einstein
* Explains the fundamentals of AI within the Salesforce platform, including training and optimizing Einstein models.
* Salesforce Documentation: Einstein Discovery
* Details how Einstein Discovery is primarily used for advanced analytics and predictions, not direct generative text solutions.
* Salesforce AI Specialist Study Guide
* Provides the official outline of Einstein AI capabilities, referencing how to configure and fine- tune models for specialized enterprise use cases.


NEW QUESTION # 96
Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes.
What is a key reason for implementing Einstein Copilot?

  • A. Allowing AI to perform tasks without user interaction
  • B. Streamlining workflows and automating repetitive tasks
  • C. Improving data entry and data cleansing

Answer: B

Explanation:
The key reason for implementing Einstein Copilot is its ability to streamline workflows and automate repetitive tasks. By leveraging AI, Einstein Copilot can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
Option A (Improving data entry and cleansing) is not the primary purpose of Einstein Copilot, as its focus is on guiding and assisting users through workflows.
Option B (Allowing AI to perform tasks without user interaction) does not accurately describe the role of Einstein Copilot, which operates interactively to assist users in real time.
Salesforce AI Specialist Reference:
More details can be found in the Salesforce documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_overview.htm


NEW QUESTION # 97
Universal Containers needs its sales reps to be able to only execute prompt templates.
What should an AI Specialist recommend to achieve this requirement?

  • A. Prompt Template Manager permission set
  • B. Prompt Template user permission set
  • C. Prompt Execute Template permission set

Answer: C

Explanation:
Prompt Execute Template permission set: This permission set is specifically designed to allow users to execute existing prompt templates. This is exactly what Universal Containers needs for its sales reps.
Prompt Template user permission set: This permission set likely grants broader access, including potentially creating or modifying templates, which is not required in this scenario.
Prompt Template Manager permission set: This permission set likely grants even more extensive administrative access to prompt templates, going beyond what the sales reps need.
By granting sales reps the "Prompt Execute Template" permission set, you ensure they have the necessary access to use prompt templates without granting unnecessary permissions that could potentially lead to unintended changes or security risks.


NEW QUESTION # 98
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