[Q47-Q63] Updated Salesforce-AI-Specialist Dumps PDF – Salesforce-AI-Specialist Real Valid Brain Dumps With 157 Questions!

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Updated Salesforce-AI-Specialist Dumps PDF – Salesforce-AI-Specialist Real Valid Brain Dumps With 157 Questions!

100% Free Salesforce-AI-Specialist Exam Dumps Use Real AI Associate Dumps

Q47. What is the importance of Action Instructions when creating a custom Agent action?

Action Instructions tell the user how to call this action in a conversation

Action Instructions tell the large language model (LLM) which action to use.

Action Instructions define the expected user experience of an action.

Q48. Which use case is best supported by Salesforce Einstein Copilot’s capabilities?

Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.

Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.

Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities

Q49. Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.
Which use case works for this scenario?

Predict customer sentiment toward a promotion message.

Predict customer lifetime value of an account.

Predict most popular products from new product catalog.

Q50. Based on the user utterance, “Show me all the customers in New York”, which standard Einstein Copilot action will the planner service use?

Query Records

Select Records

Fetch Records

Q51. The sales team at a hotel resort would like to generate a guest summary about the guests’ interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page.
Which AI capability should the team use?

Einstein Copilot

Prompt Builder

Model Builder

Q52. Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy.
Which prompt template type should the AI Specialist recommend?

Sales Email

Record Summary

Field Generation

Q53. Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?

Case Summaries

Service Replies

Case Escalation

Q54. Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information.
What is a possible explanation for the poor prompt performance?

The data being used for grounding Is incorrect or incomplete.

The prompt template version is incompatible with the chosen LLM.

The Einstein Trust Layer is incorrectly configured.

Q55. An AI Specialist wants to use the related lists from an account in a custom prompt template.
What should the AI Specialist consider when configuring the prompt template?

The text encoding (for example, UTF-8, ASCII) option

The maximum number of related list merge fields

The choice between XML and JSON rendering formats for the list

Q56. Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.
Which feature should the AI Specialist set up to enable UC’s sales team?

Call Summaries

CallExplorer

Call Insights

Q57. Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questionsin-chat, and reducing the post-chat analysis by suggesting values for case fields.
Which combination of Einstein for Service features enables this effort?

Einstein Service Replies and Work Summaries

Einstein Reply Recommendations and Case Summaries

Einstein Reply Recommendations and Case Classification

Q58. An AI Specialist is creating a custom action for Agentforce.
Which setting should the AI Specialist test and iterate on to ensure the action performs as expected?

Action Name

Action Input

Action Instructions

Q59. A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features.
Which Einstein Generative AI feature should an AI Specialist recommend to help the rep get the details they might have missed during a conversation?

Call Summary

Call Explorer

Sales Summary

Q60. Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM).
What is an important consideration for this requirement?

“CRM data to JSON” checkbox must be selected when creating a prompt template.

Apex code can be used to return a JSON formatted merge field.

JSON format should be enabled in Prompt Builder Settings.

Q61. Universal Containers (UC) wants to assess Salesforce’s generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein’s generative AI service.
No data is used for LLM training or product improvements by third- party LLMs.
No data is retained outside of UC’s Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the AI Specialist highlight to UC that addresses these requirements?

Prompt Defense

Zero-Data Retention Policy

Data Masking

Q62. The AI Specialist of Northern Trail Outfitters reviewed the organization’s data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein’s Trust Layer.
Which steps should the AI Specialist take upon modifying the masked fields?

Turn off the Einstein Trust Layer and turn it on again.

Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.

Q63. Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.
What is a consideration for this requirement?

Storing this data requires Data Cloud to be provisioned.

Storing this data requires a custom object for data to be configured.

Storing this data requires Salesforce big objects.

Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 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.
Topic 3	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.
Topic 4	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.
Topic 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.