2025 Salesforce Perfect Salesforce-AI-Specialist: New Salesforce Certified AI Specialist Exam Exam Questions

Blog Article

Tags: New Salesforce-AI-Specialist Exam Questions, Reliable Salesforce-AI-Specialist Test Duration, Salesforce-AI-Specialist Updated Testkings, Training Salesforce-AI-Specialist For Exam, Salesforce-AI-Specialist Questions Pdf

BTW, DOWNLOAD part of 2Pass4sure Salesforce-AI-Specialist dumps from Cloud Storage: https://drive.google.com/open?id=1y7bbZOaj95mblpZAMYqozcTNZGFGM6SD

High quality practice materials like our Salesforce-AI-Specialist learning dumps exert influential effects which are obvious and everlasting during your preparation. The high quality product like our Salesforce-AI-Specialist real exam has no need to advertise everywhere, the exam candidates are the best living and breathing ads. Our Salesforce-AI-Specialist Exam Questions will help you you redress the wrongs you may have and will have in the Salesforce-AI-Specialist study guide before heads. Just come and try!

Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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.
Topic 5	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.

>> New Salesforce-AI-Specialist Exam Questions <<

Reliable Salesforce-AI-Specialist Test Duration | Salesforce-AI-Specialist Updated Testkings

Our Desktop version is an application software that runs without an internet connection. It helps you to test yourself by giving the Salesforce Certified AI Specialist Exam (Salesforce-AI-Specialist) practice test. Our desktop version also keeps a record of your previous performance and it shows the improvement in your next Salesforce-AI-Specialist Practice Exam. With the help of 2Pass4sure Salesforce Certified AI Specialist Exam (Salesforce-AI-Specialist) exam questions, you will be able to pass the Salesforce Salesforce-AI-Specialist certification exam with ease. When you invest in our product it will surely benefit your Salesforce Certified AI Specialist Exam (Salesforce-AI-Specialist) exam dumps.

Salesforce Certified AI Specialist Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
Universal Container (UC) has effectively utilized prompt templates to update summary fields on Lightning record pages. An admin now wishes to incorporate similar functionality into UC's automation process using Flow.
How can the admin get a response from this prompt template from within a flow to use as part of UC's automation?

A. Flow Action
B. Invocable Apex
C. Einstein for Flow

Answer: A

Explanation:
* Context of the Question
* Universal Container (UC) has used prompt templates to update summary fields on record pages.
* Now, the admin wants to incorporate similar generative AI functionality within a Flow for automation purposes.
* How to Call a Prompt Template Within a Flow
* Flow Action: Salesforce provides a standard way to invoke generative AI templates or prompts within a Flow step. From the Flow Builder, you can add an "Action" that references the prompt template you created in Prompt Builder.
* Other Options:
* Invocable Apex: Possible fallback if there's no out-of-the-box Flow Action available.
However, Salesforce is releasing native Flow integration for AI prompts, making custom Apex less necessary.
* Einstein for Flow: A broad label for Salesforce's generative AI features within Flow.
Under the hood, you typically use a "Flow Action" that points to your prompt.
* Conclusion
* The easiest out-of-the-box solution is to use aFlow Actionreferencing the prompt template.
Hence,Option Bis correct.
Salesforce AI Specialist References & Documents
* Salesforce Trailhead:Use Prompt Templates in FlowDemonstrates how to add an Action in Flow that calls a prompt template.
* Salesforce Documentation:Einstein GPT for FlowExplains standard flow actions to invoke and handle generative AI responses.

NEW QUESTION # 32
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?

A. Storing this data requires a custom object for data to be configured.
B. Storing this data requires Salesforce big objects.
C. Storing this data requires Data Cloud to be provisioned.

Answer: C

Explanation:
When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data. The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI-powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.
Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.
Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real-time, unified data processing required in such AI-driven interactions. Big Objects are more suited for archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis capabilities.
Reference:
Salesforce Data Cloud Documentation: https://www.salesforce.com/products/data-cloud/overview/ Salesforce Einstein AI Overview: https://www.salesforce.com/products/einstein/overview/

NEW QUESTION # 33
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge.
Which step should UC take to meet this requirement?

A. Turn on Service AI Grounding and Grounding with Knowledge.
B. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.
C. Turn on Service AI Grounding, Grounding with Case, and Service Replies.

Answer: B

Explanation:
To meetUniversal Containers'goal of improving efficiency and reducing agent handling time with AI- generated responses, the best approach is to enableService Replies,Service AI Grounding, andGrounding with Knowledge.
* Service Repliesgenerates responses automatically.
* Service AI Groundingensures that the AI is using relevant case data.
* Grounding with Knowledgeensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from theLLMorSalesforce Knowledge.
* Option Cdoes not includeService Replies, which is necessary for generating AI responses.
* Option Alacks theGrounding with Knowledge, which is essential for identifying response sources.
For more details, refer toSalesforce Service AI documentationon grounding and service replies.

NEW QUESTION # 34
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?

A. Service Replies
B. Case Summaries
C. Case Escalation

Answer: A

Explanation:
* Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
* Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
* Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus,Service Repliesis the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.

NEW QUESTION # 35
A data science team has trained an XGBoost classification model for product recommendations on Databricks. The AI Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).
How should the AI Specialist set this up?

A. Create the serving endpoint in Databricks, then configure the model using Model Builder.
B. Create the serving endpoint in Databricks, then configure the model using a Python SDK connector.
C. Create the serving endpoint in Einstein Studio, then configure the model using Model Builder.

Answer: A

Explanation:
To integrate inferences from an XGBoost model into Salesforce's Data Cloud as a stand-alone Data Model Object (DMO):
* Create the Serving Endpoint in Databricks:
* The serving endpoint is necessary to make the trained model available for real-time inference.
Databricks provides tools to host and expose the model via an endpoint.
* Configure the Model Using Model Builder:
* After creating the endpoint, the AI Specialist should configure it within Einstein Studio's Model Builder, which integrates external endpoints with Salesforce Data Cloud for processing and storing inferences as DMOs.
* Option B: Serving endpoints are not created in Einstein Studio; they are set up in external platforms like Databricks before integration.
* Option C: A Python SDK connector is not used to bring model inferences into Salesforce Data Cloud; Model Builder is the correct tool.

NEW QUESTION # 36
......

There may be a lot of people feel that the preparation process for Salesforce-AI-Specialist exams is hard and boring, and hard work does not necessarily mean good results, which is an important reason why many people are afraid of examinations. Today, our Salesforce-AI-Specialist Exam Materials will radically change this. High question hit rate makes you no longer aimless when preparing for the exam, so you just should review according to the content of our Salesforce-AI-Specialist study guide prepared for you.

Reliable Salesforce-AI-Specialist Test Duration: https://www.2pass4sure.com/AI-Associate/Salesforce-AI-Specialist-actual-exam-braindumps.html

What's more, part of that 2Pass4sure Salesforce-AI-Specialist dumps now are free: https://drive.google.com/open?id=1y7bbZOaj95mblpZAMYqozcTNZGFGM6SD

Report this page

2025 SALESFORCE PERFECT SALESFORCE-AI-SPECIALIST: NEW SALESFORCE CERTIFIED AI SPECIALIST EXAM EXAM QUESTIONS

2025 Salesforce Perfect Salesforce-AI-Specialist: New Salesforce Certified AI Specialist Exam Exam Questions