Salesforce AI-201 Prüfungsthemen:
| Abschnitt | Gewichtung | Ziele |
|---|---|---|
| Prompt-Entwicklung | 20% | - Verankerungstechniken und bewährte Verfahren - Erstellung von Prompt-Vorlagen: Feldgenerierung, flexible Typen - Verwaltung von Prompts und zugehörige Benutzerrollen - Verwendung und Anwendungsfälle des Prompt Builders |
| Data Cloud für Agentforce | 20% | - Abrufmodule und Suchverfahren: Stichwort, Vektor, Hybrid - Verbesserung der Antwortgenauigkeit durch Datenverankerung - Typen der Agentforce-Datenbibliothek - Verarbeitung unstrukturierter Daten: Aufteilung und Indexierung |
| KI-Agenten | 35% | - Agententypen: Service, Vertrieb, Mitarbeiter - Kanalintegration: Digitale Oberfläche, E-Mail, Slack - Konfiguration von Themen und Aktionen - Agentenarchitektur und Schlussfolgerungsmodul - Deterministische Steuerung: Filter und Variablen - Sicherheit und Berechtigungen des Agentenbenutzers |
| Zusammenarbeit mehrerer Agenten | 5% | - Model Context Protocol (MCP) - Anwendungsfälle der Agent-API - Kommunikation zwischen Agenten |
| Entwicklungslebenszyklus | 15% | - Testen von Agenten im Testcenter - Überwachung, Nutzung und Optimierung - Bereitstellung: Von der Sandbox zur Produktivumgebung - Versionsverwaltung und Wartung |
Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen
1. An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a summary of all related opportunities for a given Account. Which grounding technique should the Al Specialist use to include data from the related list of opportunities in the prompt template?
A) Use formula fields to reference the Einstein related list of opportunities.
B) Use merge fields to reference the default related list of opportunities.
C) Use the merge fields to reference a custom related list of opportunities.
2. What is the correct process to leverage Prompt Builder in a Salesforce org?
A) Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses.
B) Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action.
C) Select the appropriate prompt template type to use, select one of Salesforce's standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action.
3. 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) Issue and Revolution
C) Sentiment Analysis and Emotion Detection
4. Universal Containers wants an AI agent to answer questions about warranties using unstructured data stored in Data Cloud. Results must be filterable by product line and ranked by recent updates.
A) Build a custom retriever in Einstein Studio with product line filters and recency ranking.
B) Apply semantic embeddings with default metadata filters to achieve the desired result.
C) Use the default retriever which automatically accounts for recency ranking.
5. Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding. Which objects should UC select to configure Service AI Grounding?
A) Case, Case Emails, and Knowledge
B) Case, Knowledge, and Case Notes
C) Case and Knowledge
Fragen und Antworten:
| 1. Frage Antwort: B | 2. Frage Antwort: A | 3. Frage Antwort: B | 4. Frage Antwort: A | 5. Frage Antwort: C |
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