PDF Salesforce-AI-Specialist Download - Salesforce-AI-Specialist Reliable Torrent

Blog Article

Tags: PDF Salesforce-AI-Specialist Download, Salesforce-AI-Specialist Reliable Torrent, Salesforce-AI-Specialist Test Labs, Salesforce-AI-Specialist Valid Real Test, Latest Salesforce-AI-Specialist Test Pass4sure

P.S. Free 2025 Salesforce Salesforce-AI-Specialist dumps are available on Google Drive shared by TorrentExam: https://drive.google.com/open?id=1OK9PybPzzznQdCHRXWl58EfGZCROFibA

For a company with history more than ten years, our Salesforce-AI-Specialist practice materials have developed into fully academic maturity. All content are arranged legibly. There are three kinds of Salesforce-AI-Specialist exam braindumps for your reference: the PDF, the Software and the APP online. All these versions of our Salesforce-AI-Specialist study questions are high-efficient. You can choose either one in accordance with your interests or habits.

Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 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.
Topic 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.
Topic 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.
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.

>> PDF Salesforce-AI-Specialist Download <<

2025 Salesforce Newest Salesforce-AI-Specialist: PDF Salesforce Certified AI Specialist Exam Download

TorrentExam presents Salesforce-AI-Specialist exam questions in a convenient PDF format for effective preparation for the Salesforce Certified AI Specialist Exam (Salesforce-AI-Specialist) exam. Salesforce Salesforce-AI-Specialist exam questions PDF file is designed for easy comprehension, allowing you to download it onto various smart devices. Whether you possess a PC, laptop, Mac, tablet, or smartphone, accessing your Salesforce-AI-Specialist Practice Exam Questions PDF anytime and anywhere is effortless.

Salesforce Certified AI Specialist Exam Sample Questions (Q29-Q34):

NEW QUESTION # 29
Universal Containers has a new AI project.
What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?

A. The fields for the related list are based on the default page layout of the Account for the current user.
B. Prompt Builder must be used to assign the fields from the related list as a JSON format.
C. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.

Answer: C

Explanation:
* Context of the QuestionUniversal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.
* Prompt Builder Behavior
* Selecting a Related List: Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.
* Field Picker: Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.
* Why Option A is Correct
* Direct Alignment with the Standard Process: The recommended approach in Salesforce's documentation is to select a related list and then use the field picker to add the necessary fields into your AI prompt. This ensures the prompt has exactly the data you need from that related list.
* Why Not Option B (JSON Formatting)
* No Mandatory JSON Requirement: Although you can structure data as JSON if you desire advanced formatting, Prompt Builder does not require you to manually assign thefields from the related list in JSON. The platform automatically handles how the data is passed along in the background.
* Why Not Option C (Default Page Layout)
* Independent of Page Layout: Prompt Builder does not rely strictly on the default page layout for fields. You can configure the fields you want from the related list, independent of how the user's page layout is set up in the UI.
* ConclusionSince the official Salesforce approach involves selecting a related list and then using the field picker to insert merge fields,Option Ais the correct and verified answer.
Salesforce AI Specialist References & Documents
* Salesforce Official Documentation:Prompt Builder BasicsExplains how to reference objects and related lists when building AI prompts.
* Salesforce Trailhead:Get Started with Prompt BuilderProvides hands-on exercises demonstrating how to pick fields from related objects or lists.
* Salesforce AI Specialist Study GuideOutlines best practices for referencing related records and fields in generative AI prompts.

NEW QUESTION # 30
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level.
What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?

A. Moderately safe
B. Not safe
C. Safe

Answer: C

Explanation:
In theEinstein Trust Layer, thetoxicity scoringsystem is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1indicates that the content is deemedsafe.
The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by theEinstein Trust Layer.
For further reference, check Salesforce's officialEinstein Trust Layer documentationregardingtoxicity scoringfor AI-generated content.

NEW QUESTION # 31
Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. The AI Specialist is tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production.
Which other configuration steps should the AI Specialist take in the sandbox that can be deployed to the production org?

A. create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents.
B. From the Epstein setup menu, select Turn on Einstein: create custom fields to store Issue, Resolution, and Summary: create a Quick Action that updates these fields: and add the wrap up componert to the Messaging session record page layout.
C. Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page lavcut.

Answer: C

Explanation:
* Context of the Question
* Universal Containers (UC) has a strict change management process that requires all possible configuration be completed in a sandbox and deployed to Production.
* Einstein Generative AI is already enabled in Production, and the "Einstein Work Summaries" permission set is already available in Production.
* The AI Specialist needs to configureWork Summaries for Enhanced Messagingin the sandbox.
* What Can Actually Be Deployed from Sandbox to Production?
* Custom Fields: Metadata that is easily created in sandbox and then deployed.
* Quick Actions: Also metadata-based and can be deployed from sandbox to production.
* Layout Components: Page layout changes (such as adding the Wrap Up component) can be added to a change set or deployment package.
* Why Option C is Correct
* No Need to Turn on Einstein in Sandbox for Deployment: Einstein Generative AI is already enabled in Production; turning it on in the sandbox is typically a manual step if you want to test, but that step itself is not "deployable" in the sense of metadata.
* Permission Set Assignments(as in Option A) are not deployable metadata. You can deploy the Permission Set itself but not the specific user assignments. Since the question specifically asks
"Which other configuration steps should be takenin the sandboxthatcanbe deployed to the production org?", user assignment is not one of them.
* Why Not Option A or B?
* Option A: Mentions creating permission set assignments for agents. This cannot be directly deployed from sandbox to Production, as permission set assignments are user-specific and considered "data," not metadata.
* Option B: Mentions "Turn on Einstein." But Einstein Generative AI is already enabled in Production. Additionally, "Turning on Einstein" is typically an org-level setting, not a deployable metadata item.
* ConclusionThe main deployable items you can reliably create and test in a sandbox, and then migrate to Production, are:
* Custom Fields(Issue, Resolution, Summary).
* A Quick Actionthat updates those fields.
* Page Layout Changeto include the Wrap Up component.
Therefore,Option Cis correct and focuses on actions that are truly deployable as metadata from a sandbox to Production.
Salesforce AI Specialist References & Documents
* Salesforce Trailhead:Work Summaries with Einstein GPTProvides an overview of how to configure Work Summaries, including the need for custom fields, quick actions, and UI components.
* Salesforce Documentation:Deploying Metadata Between OrgsExplains what can and cannot be deployed via change sets (e.g., custom fields, page layouts, quick actions vs. user permission set assignments).
* Salesforce AI Specialist Study GuideOutlines which Einstein Generative AI and Work Summaries configurations are deployable as metadata.

NEW QUESTION # 32
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information.
In refining its prompt design strategy, which key practices should UC prioritize?

A. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.
B. Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.
C. Create concise, clear, and consistent prompt templates with effective grounding, contextual role-playing, clear instructions, and iterative feedback.

Answer: C

Explanation:
For Universal Containers (UC) to refine its Generative AI prompt design strategy and improve the accuracy of the generated summaries for the custom object Guest, the best practice is to focus on crafting concise, clear, and consistent prompt templates. This includes:
Effective grounding: Ensuring the prompt pulls data from the correct sources.
Contextual role-playing: Providing the AI with a clear understanding of its role in generating the summary.
Clear instructions: Giving unambiguous directions on what to include in the response.
Iterative feedback: Regularly testing and adjusting prompts based on user feedback.
Option B is correct because it follows industry best practices for refining prompt design.
Option A (prompt test mode) is useful but less relevant for refining prompt design itself.
Option C (prompt review case with Salesforce) would be more appropriate for technical issues or complex prompt errors, not general design refinement.
Reference:
Salesforce Prompt Design Best Practices: https://help.salesforce.com/s/articleView?id=sf.prompt_design_best_practices.htm

NEW QUESTION # 33
Universal Containers (UC) plans to send one of three different emails to its customers based on the customer's lifetime value score and their market segment.
Considering that UC are required to explain why an e-mail was selected, which AI model should UC use to achieve this?

A. Predictive model and generative model
B. Generative model
C. Predictive model

Answer: C

Explanation:
Universal Containers should use a Predictive model to decide which of the three emails to send based on the customer's lifetime value score and market segment. Predictive models analyze data to forecast outcomes, and in this case, it would predict the most appropriate email to send based on customer attributes.
Additionally, predictive models can provide explainability to show why a certain email was chosen, which is crucial for UC's requirement to explain the decision-making process.
* Generative models are typically used for content creation, not decision-making, and thus wouldn't be suitable for this requirement.
* Predictive models offer the ability to explain why a particular decision was made, which aligns with UC's needs.
Refer to Salesforce's Predictive AI model documentation for more insights on how predictive models are used for segmentation and decision making.

NEW QUESTION # 34
......

As we all know, the influence of Salesforce-AI-Specialist exam guides even have been extended to all professions and trades in recent years. Passing the Salesforce-AI-Specialist exam is not only for obtaining a paper certification, but also for a proof of your ability. Most people regard Salesforce certification as a threshold in this industry, therefore, for your convenience, we are fully equipped with a professional team with specialized experts to study and design the most applicable Salesforce-AI-Specialist exam prepare. We have organized a team to research and study question patterns pointing towards various learners. Our company keeps pace with contemporary talent development and makes every learners fit in the needs of the society. Based on advanced technological capabilities, our Salesforce-AI-Specialist Study Materials are beneficial for the masses of customers. Our experts have plenty of experience in meeting the requirement of our customers and try to deliver satisfied Salesforce-AI-Specialist exam guides to them. Our Salesforce-AI-Specialist exam prepare is definitely better choice to help you go through the test.

Salesforce-AI-Specialist Reliable Torrent: https://www.torrentexam.com/Salesforce-AI-Specialist-exam-latest-torrent.html

BTW, DOWNLOAD part of TorrentExam Salesforce-AI-Specialist dumps from Cloud Storage: https://drive.google.com/open?id=1OK9PybPzzznQdCHRXWl58EfGZCROFibA

Report this page

PDF SALESFORCE-AI-SPECIALIST DOWNLOAD - SALESFORCE-AI-SPECIALIST RELIABLE TORRENT

PDF Salesforce-AI-Specialist Download - Salesforce-AI-Specialist Reliable Torrent