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Salesforce Certified AI Specialist Exam Dumps July 2026
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Question # 1
What is a Salesforce AI Specialist able to configure in Data Masking within the Einstein Trust Layer?
A. The profiles exempt from masking
B. The encryption keys for masking
C. The privacy data entities to be masked
Question # 2
Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary?
A. Generation is grounded with conversation context, Knowledge articles, and cases.
B. Generation is grounded with existing conversation context only.
C. Generation is grounded with conversation context and Knowledge articles.
Question # 3
In addition to Recipient and Sender, which object should an AI Specialist utilize for inserting merge fields into a Sales email template prompt?
A. Recipient Opportunities
B. Recipient Account
C. User Organization
Question # 4
What is the importance of Action Instructions when creating a custom Agent action?
A. Action Instructions tell the user how to call this action in a conversation
B. Action Instructions tell the large language model (LLM) which action to use.
C. Action Instructions define the expected user experience of an action.
Question # 5
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.
Question # 6
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the AI Specialist investigate as the root cause?
A. Review that the custom action Is assigned to an Agent.
B. Review the action Instructions to ensure they are unique.
C. Ensure the input and output types are correctly chosen.
Question # 7
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. Invocable Apex
B. Flow Action
C. Einstein for Flow
Question # 8
An AI specialist wants to leverage Record Snapshots grounding feature in a prompt template. What preparations are required?
A. Configure page layout of the master record type
B. Create a field set for all the fields to be grounded
C. Enable and configure dynamic form for the object
Question # 9
How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?
A. Retrieves Salesforce data based on the 'Run As" users permissions.
B. Retrieves Salesforce data based on the user’s permissions executing the prompt.
C. Retrieves Salesforces data based on the Prompt template's object permissions.
Question # 10
An account manager is preparing for an upcoming customer call and wishes to get a snapshot of key data points from accounts, contacts, leads, and opportunities in Salesforce. Which feature provides this?
A. Sales Summaries
B. Sales Insight Summary
C. Work Summaries
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Latest Salesforce AI Specialist Exam Questions:
Q1: Which type of prompt templates can be used to bring generative AI-assisted workflows to custom fields within a salesforce Record?
A. Flex Prompt Templates
B. Field Generation Prompt Templates
C. Record Summary Prompt Templates
Answer: B
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Q2. An Al Specialist has been assigned a task to create a Prompt Template for Sales Team to help reduce the time that the team spends on creating invitations to customers for product events. How can Al Specialist create a Prompt Template.
A. New Prompt Template button on prompt builder explore Page.
B. New Prompt template quick Action on home page.
C. New Prompt Template global Action.
Answer: A
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Q3. An Al Specialist has been assigned a task to create a Prompt Template for Sales Team to help reduce the time that the team spends on creating invitations to customers for product events. Which of the following resources can be used in a Prompt Template?
A. Apex Class
B. Omniscript
C. Integration Procedure
Answer: A
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Q4. Which of the following technique used to provide context and specificity to prompt responses?
A. Toxicity Detection
B. Prompt Defense
C. Grounding
Answer: C
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Q5. Which of the following is a building block of Einstein copilot?
A. Events
B. Actions
C. Prompts
Answer: c
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Q6. Based on the user utterance, “Show me all the customers in New York", which standard Einstein Copilot action will the planner service use?
A. Query Records
B. Select Records
C. Fetch Records
Answer: A
Explanation:
The standard Einstein Copilot action that would be used in response to the user utterance, “Show me all the customers in New York,” is Query Records. This action is responsible for retrieving a set of records from Salesforce based on a specified condition — in this case, filtering customers by location (New York).
Query Records is the action that fetches relevant data based on the criteria provided in the user's input.
Select Records is more about picking specific records from an already presented list.
Fetch Records is not a standard term used in this context for the action.
Refer to Einstein Copilot documentation on how Copilot actions work with natural language queries and data retrieval.
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Q7. Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
A. Data Cloud-triggered flow
B. Template-triggered prompt flow
C. Unified-object linking flow
Answer:
A. Data Cloud-triggered flow
Explanation:
In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.
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Q8: An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt. Which feature in the Einstein Trust Layer best supports UC's need?
A. Data maskingB. Dynamic grounding with secure data retrieval
C. Zero-data retention policyDynamic grounding with secure data retrieval is a key feature in Salesforce's Einstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allows relevant Salesforce data to be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model’s outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
Data masking refers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
Zero-data retention policy ensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
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Q9: Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls. How should UC meet this requirement?
A. Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
B. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
C. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.
Answer: C
Explanation: To provide the sales team with insights into product and competitor names mentioned during calls, Universal Containers should:
Enable Einstein Conversation Insights: Activates the feature that analyzes call recordings for valuable insights.
Enable Sales Recording: Allows calls to be recorded within Salesforce without needing an external recording provider.
Assign Permission Sets: Grants the necessary permissions to sales team members to access and utilize conversation insights.
Customize Insights: Configure the system to track mentions of up to 50 products and 50 competitors, providing tailored insights relevant to the organization's needs. Option C accurately reflects these steps. Option A mentions defining recording managers but omits enabling sales recording within Salesforce. Option B suggests connecting a recording provider and limits customization to 25 products, which does not fully meet UC's requirements.
Reference:
Salesforce AI Specialist Documentation - Setting Up Einstein Conversation Insights: Provides instructions on enabling conversation insights and sales recording. Salesforce Help - Customizing Conversation Insights: Details how to customize insights with up to 50 products and competitors.
Salesforce AI Specialist Exam Guide: Outlines best practices for implementing AI features like Einstein Conversation Insights in a sales context.
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Q10: Universal Containers plans to implement prompt templates that utilize the standard foundation models. What should the AI Specialist consider when building prompt templates in Prompt Builder?
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.
Answer: C
When building prompt templates in Prompt Builder, it is essential to consider how the Large Language Model (LLM) processes and generates outputs. Training the LLM with various writing styles, such as different word choices, intensifiers, emojis, and punctuation, helps the model better understand diverse writing patterns and produce more contextually appropriate responses.
This approach enhances the flexibility and accuracy of the LLM when generating outputs for different use cases, as it is trained to recognize various writing conventions and styles. The prompt template should focus on providing rich context, and this stylistic variety helps improve the model’s adaptability.
Options A and B are less relevant because adding multiple-choice questions or role-playing scenarios doesn’t contribute significantly to improving the AI’s output generation quality within standard business contexts.
For more details, refer to Salesforce’s Prompt Builder documentation and LLM tuning strategies.
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Q11: Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data.
Which audit data is available using the Einstein Trust Layer?
A. Response accuracy and offensiveness score
B. Hallucination score and bias score
C. Masked data and toxicity score
Answer: C
Explanation: Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information about masked data—which ensures sensitive information is not exposed—and the toxicity score, which evaluates the generated content for inappropriate or harmful language.
References:
Salesforce AI Specialist Documentation - Einstein Trust Layer: Details the auditing capabilities, including logging of masked data and evaluation of generated responses for toxicity to maintain compliance and trust.
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Q12: An AI Specialist configured Data Masking within the Einstein Trust Layer. How should the AI Specialist begin validating that the correct fields are being masked?
A. Use a Flow-based resource in Prompt Builder to debug the fields’ merge values using Flow Debugger.
B. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.
C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
Answer: B
Explanation:
To begin validating that the correct fields are being masked in Einstein Trust Layer, the AI Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.
Option B is correct because it allows for the retrieval of audit data that can be used to validate data masking.
Option A (Flow Debugger) and Option C (Einstein Feedback) do not relate to validating field masking in the context of the Einstein Trust Layer.
References:
Salesforce Einstein Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.html
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Q13: Universal Containers (UC) wants to enable its sales reps to explore opportunities that are similar to previously won opportunities by entering the utterance, "Show me other opportunities like this one."
How should UC achieve this in Einstein Copilot?
A. Use the standard Copilot action.
B. Create a custom Copilot action calling a flow.
C. Create a custom Copilot action calling an Apex class.
Answer: A
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Q14: An AI Specialist wants to include data from the response of external service invocation (REST API callout) into the prompt template.
How should the AI Specialist meet this requirement?
A. Convert the JSON to an XML merge field.
B. Use External Service Record merge fields.
C. Use “Add Prompt Instructions” flow element.
Answer: B
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Q15: When configuring a prompt template, an AI Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.
Which information does the Resolution text provide?
A. It shows the full text that is sent to the Trust Layer.
B. It shows the response from the LLM based on the sample record.
C. It shows which sensitive data is masked before it is sent to the LLM.
Answer: B
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Q16:
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?
A. Make Less Formal
B. Enhance Friendliness
C. Optimize for Clarity
Answer: A
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The Salesforce AI Specialist Exam is a prestigious certification designed for professionals looking to validate their expertise in artificial intelligence (AI) within the Salesforce ecosystem. It is ideal for AI developers, data analysts, and Salesforce administrators who want to leverage AI-driven solutions to enhance customer experience and optimize business workflows.
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Salesforce AI Specialist Exam: Duration, Format, Fees & Passing Score Explained!
| FEATURE | DETAILS |
|---|---|
| EXAM DURATION | 90 minutes |
| PASSING SCORE | 65-70% |
| CERTIFICATION FEE | $200 |
| EXAM FORMAT | Multiple-choice |
What Skills Do You Need to Pass the Salesforce AI Specialist Exam?
The exam is structured to evaluate candidates on various aspects of Salesforce AI, including its implementation and optimization. Professionals who achieve certification demonstrate their ability to integrate AI tools such as Einstein AI to drive business automation and insights.
Keywords: Salesforce AI Specialist, AI certification, Salesforce Einstein AI
What Topics Will Be Covered in the Salesforce AI Specialist Exam? Check the Breakdown!
| Topic | Weightage |
|---|---|
| AI Fundamentals and Machine Learning | 20% |
| Einstein AI Implementation | 30% |
| Data Management and Preparation | 25% |
| Model Deployment and Monitoring | 15% |
| Ethical Considerations in AI | 10% |
Each domain plays a crucial role in understanding Salesforce AI functionalities. Mastery of these areas ensures that candidates are well-equipped to apply AI effectively in a business environment. The AI Fundamentals and Machine Learning section tests foundational knowledge of algorithms, training data, and predictive analytics. The Einstein AI Implementation segment evaluates a candidate’s ability to integrate Salesforce AI tools into business processes.
Understanding Data Management and Preparation is critical, as it involves handling large datasets and ensuring data integrity before feeding it into AI models. Similarly, Model Deployment and Monitoring assess one’s proficiency in deploying AI solutions and maintaining their performance over time. Ethical Considerations in AI cover responsible AI usage, bias mitigation, and compliance with industry standards.
To strengthen their preparation, many professionals turn to PDF-based practice questions as an additional resource. These materials provide exposure to real exam-style questions, helping candidates pinpoint areas of weakness and reinforce their knowledge. While official study guides and hands-on experience are crucial, Salesforce-AI-Specialist Practice Tests can act as a valuable supplement, offering insights into common exam patterns and frequently tested concepts.
Keywords: AI fundamentals, Einstein AI, Data Management, Model Deployment, AI ethics, practice tests
Frequently Asked Questions (FAQs)
How will the Salesforce AI Specialist Certification benefit my career?
This certification validates your expertise in AI-powered automation, data analytics, and predictive modeling. It enhances your job prospects and positions you as an AI-driven Salesforce professional.
What kind of job roles can I get after earning the Salesforce AI Specialist Certification?
This certification can lead to roles like:
- ● Salesforce AI Developer
- ● AI & Data Analyst
- ● Machine Learning Engineer
- ● Salesforce AI Consultant
- ● AI-Powered Workflow Specialist
Career Opportunities and Salary Insights:
Professionals who earn the Salesforce AI Specialist certification gain access to a wide range of career opportunities in AI-driven roles within enterprises and consulting firms. As AI continues to shape the tech industry, Salesforce-certified professionals are in high demand.
| Job Role | Average Salary |
|---|---|
| AI Developer | $90,000 - $120,000 |
| Salesforce Consultant | $80,000 - $110,000 |
| Data Analyst | $70,000 - $100,000 |
To stand out in the competitive job market, candidates often leverage exam practice questions as a study tool to increase their chances of passing on the first attempt. Reviewing past questions and structured answer formats helps in strategic exam preparation, boosting confidence and efficiency.
Keywords: AI jobs, Salesforce career, AI salary, AI certification benefits, study material
The Salesforce AI Specialist certification offers professionals and significant edge in the evolving field of AI. Earning this credential not only enhances career prospects but also validates expertise in integrating AI within the Salesforce platform. By leveraging a combination of official study guides, practice tests, candidates can maximize their chances of success while deepening their understanding of AI technologies.
Keywords: Salesforce AI certification, AI professional, AI career advancement
Salesforce Salesforce-AI-Specialist Frequently Asked Questions
The Salesforce AI Specialist exam encompasses a diverse range of essential topics that are crucial for mastering AI in the Salesforce ecosystem. Here’s what you can expect:
1. AI Concepts:
Understand foundational AI principles, including key terms and methodologies.
2. Salesforce Einstein Features:
Explore the powerful capabilities of Salesforce Einstein and how they can be leveraged for enhanced decision-making.
3. Implementation Strategies:
Learn effective strategies for implementing AI solutions within Salesforce to solve real-world business challenges.
4. Data Preparation:
Discover the best practices for preparing and managing data to ensure optimal performance of AI models.
5. Ethical Considerations in AI:
Examine the ethical implications of AI technologies and how to implement AI responsibly.
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