최신 AI-201 무료덤프 - Salesforce Certified Agentforce Specialist

A. A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.

B. A predefined Apex retriever class that can be edited by a developer to meet specific needs.

C. A retriever that shares the name of the custom search index.

A. 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.

B. 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.

C. 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.

A. Ingest the Einstein Shield Event logs into CRM Analytics.

B. Review the debug logs of the running user.

C. Enable audit trail in the Einstein Trust Layer.

A. Agentforce Analytics

B. Agent Studio Analytics

C. Agent Analytics

A. Case Summaries

B. Case Escalation

C. Service Replies

A. It monitors and aggregates data quality metrics across various data pipelines to ensure only high- integrity data is used for strategic decision-making.

B. It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.

C. It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.

A. UC wants to change the frequency penalty of the model.

B. UC wants to fine-tune model temperature.

C. UC wants a model fine-tuned using company data.

A. Manually interact with the agent in Builder until responses seem correct.

B. Upload a structured CSV test template and run batch test cases in Testing Center.

C. Use pilot users in production to flag incorrect responses post-launch.

A. Run tests in the production environment to ensure real-time data accuracy.

B. Use the Testing Center only in the sandbox environment.

C. Limit the number of test cases to 50 per test to minimize data changes.

A. Include multiple-choice questions within the prompt to test the LLM's understanding of the context.

B. Ask it to role-play as a character in the prompt template to provide more context to the LLM.

C. Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.