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Salesforce Salesforce-AI-Specialist Prüfungsplan:

Thema	Einzelheiten
Thema 1	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.
Thema 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.
Thema 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.
Thema 4	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.
Thema 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 Salesforce-AI-Specialist Prüfungsfragen mit Lösungen (Q69-Q74):

69. Frage
Universal Containers (UC) wants to enable its sales team to use Al to suggest recommended products from its catalog.
Which type of prompt template should UC use?

A. Email generation prompt template
B. Record summary prompt template
C. Flex prompt template

Antwort: C

Begründung:
Universal Containers (UC) wants to enable its sales team to leverage AI to recommend products from its catalog. The best option for this use case is a Flex prompt template.
A Flex prompt template is designed to provide flexible, customizable AI-driven recommendations or responses based on specific data points, such as product information, customer needs, or sales history. This template type allows the AI to consider various inputs and parameters, making it ideal for generating product recommendations dynamically.
In contrast:
* A Record summary prompt template (Option A) is used to summarize data related to a specific record, such as generating a quick summary of a sales opportunity or account, but not for recommending products.
* An Email generation prompt template (Option B) is tailored for crafting email content and is not suitable for suggesting products based on a catalog.
Given the need for dynamic recommendations that pull from a product catalog and potentially other sales data, the Flex prompt template is the correct approach.
Salesforce References:
* Salesforce Prompt Templates Overview: https://help.salesforce.com/s/articleView?
id=000391407&type=1
* Flex Prompt Template Usage: https://developer.salesforce.com/docs/atlas.en-us.salesforce_ai.meta
/salesforce_ai/prompt_flex_template

70. Frage
Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should an AI Specialist recommend?

A. Use BYO-LLM functionality in Einstein Studio,
B. Use Apex to connect to an external LLM and ground the prompt.
C. Use Flow and External Services to bring data from an external LLM.

Antwort: A

Begründung:
Bring Your Own Large Language Model (BYO-LLM) functionality in Einstein Studio allows organizations to integrate and use external large language models (LLMs) within the Salesforce ecosystem.
Universal Containers can leverage this feature to connect and ground prompts with external LLMs, allowing for custom AI model use cases and seamless integration with Salesforce data.
* Option B is the correct choice as Einstein Studio provides a built-in feature to work with external models.
* Option A suggests using Apex, but BYO-LLM functionality offers a more streamlined solution.
* Option C focuses on Flow and External Services, which is more about data integration and isn't ideal for working with LLMs.
References:
* Salesforce Einstein Studio BYO-LLM Documentation: https://help.salesforce.com/s/articleView?id=sf.
einstein_studio_llm.htm

71. Frage
A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.
How does Einstein Copilot handle user requests In Salesforce?

A. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.
B. Einstein Copilot analyzes the user's request and LLM technology is used to generate and display the appropriate response.
C. Einstein Copilot will perform an HTTP callout to an LLM provider.

Antwort: B

Begründung:
Einstein Copilot is designed to enhance user interaction within Salesforce by leveraging Large Language Models (LLMs) to process and respond to user inquiries. When a user submits a request, Einstein Copilot analyzes the input using natural language processing techniques. It then utilizes LLM technology to generate an appropriate and contextually relevant response, which is displayed directly to the user within the Salesforce interface.
Option C accurately describes this process. Einstein Copilot does not necessarily trigger a flow (Option A) or perform an HTTP callout to an LLM provider (Option B) for each user request. Instead, it integrates LLM capabilities to provide immediate and intelligent responses, facilitating a broad range of user requests.
Reference:
Salesforce AI Specialist Documentation - Einstein Copilot Overview: Details how Einstein Copilot employs LLMs to interpret user inputs and generate responses within the Salesforce ecosystem.
Salesforce Help - How Einstein Copilot Works: Explains the underlying mechanisms of how Einstein Copilot processes user requests using AI technologies.

72. Frage
What is an appropriate use case for leveraging Agentforce Sales Agent in a sales context?

A. Instantly review and read incoming messages or emails that are then logged to the correct opportunity, contact, and account records to provide a full view of customer interactions and communications.
B. Enable a sales team by providing them with an interactive step-by-step guide based on business rules to ensure accurate data entry into Salesforce and help close deals fatter.
C. Enable a sates team to use natural language to invoke defined sales tasks grounded in relevant data and be able to ensure company policies are applied. conversationally and in the now or work.

Antwort: C

Begründung:
Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce's vision of conversational AI streamlining workflows without compromising compliance.
* Step-by-step guides (B) are typically handled by tools like Dynamic Forms or Guided Selling, not Agentforce.
* Logging messages/emails (C) is managed by Email-to-Case or Service Cloud, not a sales-specific AI agent.

73. Frage
Universal Containers plans to implement prompt templates that utilize the standard foundation models.
What should the AI Specialist consider when building prompt templates in Prompt Builder?

A. Ask it to role-play as a character in the prompt template to provide more context to the LLM.
B. Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.
C. Include multiple-choice questions within the prompt to test the LLM's understanding of the context.

Antwort: A

Begründung:
When building prompt templates in Prompt Builder, it is essential to consider how the Large Language Model (LLM) processes and generates outputs. Training the LLM with various writing styles, such as different word choices, intensifiers, emojis, and punctuation, helps the model better understand diverse writing patterns and produce more contextually appropriate responses.
This approach enhances the flexibility and accuracy of the LLM when generating outputs for different use cases, as it is trained to recognize various writing conventions and styles. The prompt template should focus on providing rich context, and this stylistic variety helps improve the model's adaptability.
Options A and B are less relevant because adding multiple-choice questions or role-playing scenarios doesn't contribute significantly to improving the AI's output generation quality within standard business contexts.
For more details, refer to Salesforce's Prompt Builder documentation and LLM tuning strategies.

74. Frage
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Hilfsreiche Prüfungsunterlagen verwirklicht Ihren Wunsch nach der Zertifikat der Salesforce Certified AI Specialist Exam

Salesforce Salesforce-AI-Specialist Prüfungsplan:

Aktuelle Salesforce Salesforce-AI-Specialist Prüfung pdf Torrent für Salesforce-AI-Specialist Examen Erfolg prep

Salesforce Certified AI Specialist Exam Salesforce-AI-Specialist Prüfungsfragen mit Lösungen (Q69-Q74):

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