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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

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 3

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.

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

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-AI-Specialist Prüfungsvorbereitung <<

Salesforce-AI-Specialist Probesfragen & Salesforce-AI-Specialist Fragenpool

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Salesforce Certified AI Specialist Exam Salesforce-AI-Specialist Prüfungsfragen mit Lösungen (Q83-Q88):

83. Frage
Universal Containers' data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS).
What should the team use to access externally-hosted models in the Salesforce Platform?

A. Copilot Builder
B. App Builder
C. Model Builder

Antwort: C

Begründung:
To access externally-hosted models, such as a large language model (LLM) hosted on AWS, the Model Builder in Salesforce is the appropriate tool. Model Builder allows teams to integrate and deploy external AI models into the Salesforce platform, making it possible to leverage models hosted outside of Salesforce infrastructure while still benefiting from the platform's native AI capabilities.
Option B, App Builder, is primarily used to build and configure applications in Salesforce, not to integrate AI models.
Option C, Copilot Builder, focuses on building assistant-like tools rather than integrating external AI models.
Model Builder enables seamless integration with external systems and models, allowing Salesforce users to use external LLMs for generating AI-driven insights and automation.
Salesforce AI Specialist Reference:
For more details, check the Model Builder guide here: https://help.salesforce.com/s/articleView?id=sf.model_builder_external_models.htm

84. Frage
Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature.
What does Einstein consider when generating a summary?

A. Generation is grounded with existing conversation context only.
B. Generation is grounded with conversation context, Knowledge articles, and cases.
C. Generation is grounded with conversation context and Knowledge articles.

Antwort: B

Begründung:
When generating a Work Summary, Einstein leverages multiple sources of information to provide a comprehensive and accurate case summary for agents.
* Conversation Context:
* Einstein analyzes the details of the customer interaction, including chat or email threads, to extract relevant information for the summary.
* Knowledge Articles:
* It considers linked Knowledge Articles or articles referred to during the case resolution process, ensuring the summary incorporates accurate resolutions or additional resources provided to the customer.
* Cases:
* Einstein also examines historical cases and related case records to ground the summary in context from past resolutions or interactions.
* Option Ais correct as it includes all three: conversation context, Knowledge articles, and cases.
* Option Bis incorrect because it limits the grounding to conversation context only, excluding other critical elements.
* Option Cis incorrect because it omits case data, which Einstein considers for more accurate and contextually rich summaries.

85. Frage
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.
After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the "summary"'

A. Draft Survey Request Email
B. Sentiment Analysis and Emotion Detection
C. Issue and Revolution

Antwort: C

Begründung:
Einstein Work Summaries automatically generate concise summaries of customer interactions (e.g., chat transcripts). Beyond the "summary" field, it extracts and populates Issue (key problem discussed) and Resolution (action taken to resolve the issue). These fields help agents and supervisors quickly grasp the conversation's context without reviewing the full transcript.
* Sentiment Analysis and Emotion Detection (Option A): While Einstein Conversation Insights provides sentiment scores and emotion detection, these are separate from Work Summaries. Work Summaries focus on factual summaries, not sentiment.
* Draft Survey Request Email (Option B): Not part of Work Summaries. This would require automation tools like Flow or Email Studio.
* Issue and Resolution (Option C): Directly referenced in Salesforce documentation as fields populated by Einstein Work Summaries.
References:
* Salesforce Help Article: Einstein Work Summaries
* Einstein Work Summaries focus on "key details like Issue and Resolution" alongside summaries.
* Contrast with Einstein Conversation Insights for sentiment/emotion analysis.

86. Frage
Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) inaprompt template.
What should the AI Specialist recommend?

A. Create a prompt template passing in a special custom object that connects the records temporarily,
B. Create a prompt template-triggered flow to access the data from standard and custom objects.
C. Create a Flex template to add resources with standard and custom objects as inputs.

Antwort: C

Begründung:
Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using aFlex template.
Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows.
References:
* Salesforce AI Specialist Documentation - Flex Templates:Explains how Flex templates can be utilized to incorporate data from multiple sources, providing a flexible solution for complex data requirements in prompt templates.

87. Frage
Which configuration must an AI Specialist complete for users to access generative Al-enabled fields in the Salesforce mobile app?

A. Enable Mobile Prompt Responses.
B. Enable Dynamic Forms on Mobile.
C. Enable Mobile Generative AI.

Antwort: B

Begründung:
* Context of the Question
* Universal Containers (UC) has generative AI-enabled fields that users can access in the desktop experience.
* The AI Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.
* Why Dynamic Forms on Mobile?
* Dynamic Formsallow you to configure record pages so that fields and sections can appear or be hidden based on certain criteria.
* When you enable "Dynamic Forms for Mobile," any generative AI-enabled fields placed on the dynamic layout become accessible in the Salesforce mobile experience.
* There is no standard Setup option labeled "Enable Mobile Generative AI" or "Enable Mobile Prompt Responses" as a universal toggle; the existing official approach is to ensure dynamic forms (and the relevant fields) are supported on mobile.
* Conclusion
* Ensuring that these AI-driven fields are visible on mobile is accomplished by turning onDynamic Forms on Mobileand adding those fields to the dynamic layout. Therefore,Option Cis correct.
Salesforce AI Specialist References & Documents
* Salesforce Documentation:Dynamic Forms OverviewExplains how to enable Dynamic Forms for both desktop and mobile UIs, allowing newly added fields (including generative AI-enabled ones) to display in the Salesforce Mobile App.
* Salesforce AI Specialist Study GuideReiterates that to expose generative AI fields or components in mobile, you must configure dynamic forms and ensure compatibility on mobile layouts.

88. Frage
......

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Josh Evans Josh Evans

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