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Hohe Qualität von Salesforce-AI-Specialist Prüfung und Antworten
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Salesforce Salesforce-AI-Specialist Prüfungsplan:
| Thema |
Einzelheiten |
| Thema 1 |
- 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.
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| Thema 2 |
- 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.
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| 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.
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| 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.
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| 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-AI-Specialist Prüfung <<
Salesforce Salesforce-AI-Specialist Exam & Salesforce-AI-Specialist Prüfungsvorbereitung
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Salesforce Certified AI Specialist Exam Salesforce-AI-Specialist Prüfungsfragen mit Lösungen (Q45-Q50):
45. Frage
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?
- A. Identify potential high-value leads for targeted marketing campaigns.
- B. Forecast future sales trends based on historical data.
- C. Send reply to a request for proposal via a personalized email.
Antwort: C
Begründung:
* Context of the Question
* Einstein Prompt Builder is a Salesforce feature that helps generate text (summaries, email content, responses) using AI models.
* The question presents three potential use cases, asking which one best fits the capabilities of Einstein Prompt Builder.
* Einstein Prompt Builder Typical Use Cases
* Text Generation & Summaries: Great for writing or summarizing content, like responding to an email or generating text for a record field.
* Why Not Forecast Future Sales Trends or Identify Potential High-Value Leads?
* (Option A) Forecasting trends typically involves predictive analytics and modeling capabilities found in Einstein Discovery or standard reporting, not generative text solutions.
* (Option B) Identifying leads for marketing campaigns involves lead scoring or analytics, again an Einstein Discovery or Lead Scoring scenario.
* Sending a Personalized RFP Email(Option C) is a classic example of using generative AI to compose well-structured, context-aware text.
* ConclusionOption C(Send reply to a request for proposal via a personalized email) is the best match for Einstein Prompt Builder's generative text functionality.
Salesforce AI Specialist References & Documents
* Salesforce Documentation:Einstein Prompt Builder OverviewHighlights how to use Prompt Builder to create and customize text-based responses, especially for email or record fields.
* Salesforce AI Specialist Study GuideExplains that generative AI features in Salesforce are designed for creating or summarizing text, not for advanced predictive use cases (like forecasting or lead scoring).
46. Frage
An AI Specialist is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform.
What is the correct method for the AI Specialist to assign actions to an Agent?
- A. Assign the action to a Topic First in Agent Builder.
- B. Assign the action to a Topic first on Action Builder.
- C. Assign the action to a Topic first on the Agent Actions detail page.
Antwort: B
Begründung:
Action Builder is the central place in Salesforce Agentforce where you define and manage actions that your AI agents can perform. This includes connecting actions to various tools and systems.
Topics in Agentforce represent the different tasks or intents that an AI agent can handle. By assigning an action to a Topic in Action Builder, you're essentially telling the agent, "When you encounter this type of request or situation, perform this action."
47. Frage
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
- A. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
- B. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
- C. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
Antwort: A
Begründung:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the AI Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.
Option C is correct because it enables visibility into toxic language detection within the Trust Layer and allows for auditing responses for toxicity.
Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.
Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.
Reference:
Salesforce Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm
48. Frage
Anadministrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC's need?
- A. Data masking
- B. Dynamic grounding with secure data retrieval
- C. Zero-data retention policy
Antwort: B
Begründung:
Dynamic grounding with secure data retrieval is a key feature in Salesforce'sEinstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allowsrelevant Salesforce datato be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model's outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
* Data maskingrefers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
* Zero-data retention policyensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
References:
* Salesforce Developer Documentation onEinstein Trust Layer
* Salesforce Security Documentation for AI andData Privacy
49. Frage
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users.
When would Einstein Copilot implementation be most advantageous?
- A. When the main objective is to enhance data security and compliance measures
- B. When the goal is to streamline customer support processes and improve response times
- C. When the focus is on optimizing marketing campaigns and strategies
Antwort: B
Begründung:
Einstein Copilot implementation would be most advantageous in Salesforce Service Cloud when the goal is to streamline customer support processes and improve response times. Einstein Copilot can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
Option B (data security) is not the primary focus of Einstein Copilot, which is more about improving operational efficiency.
Option C (marketing campaigns) falls outside the scope of Service Cloud and Einstein Copilot's primary benefits, which are aimed at improving customer service and case management.
For further reading, refer to Salesforce documentation on Einstein Copilot for Service Cloud and how it improves support processes.
50. Frage
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