Question # 1
| Universal Containers is planning a marketing email about products that most closely match a customer's expressed interests. What should an AI Specialist recommend to generate this email? | | A. Standard email marketing template using Apex or flows for matching interest in products. | | B. Custom sales email template which is grounded with interest and product information. | | C. Standard email draft with Einstein and choose standard email template. |
B. Custom sales email template which is grounded with interest and product information.
Explanation:
To generate an email about products that closely match a customer’s expressed interests, an AI Specialist should recommend using a custom sales email template that is grounded with interest and product information. This ensures that the email content is personalized based on the customer's preferences, increasing the relevance of the marketing message. Using grounding ensures that the generative AI pulls the correct data related to customer interests and product matches, making the email more effective. For more information, refer to Salesforce documentation on grounding AI-generated content and email personalization strategies.
Question # 2
| Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed? | | A. Access the Toxicity Detection log in Setup and export all entries where is Toxicity Detected is true. | | B. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold. | | C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores. |
C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the AI Specialist should create a Trust Layer audit report with in Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.
Option C is correct because it enables visibility into toxic language detection with in the Trust Layer and allows for auditing responses for toxicity.
Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.
Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.
Question # 3
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 |
B. Create a field set for all the fields to be grounded
Explanation
To use the Record Snapshots grounding feature in a prompt template, you must create a field set that includes all fields required for grounding. Field sets define which fields from an object are accessible to the AI model, ensuring the prompt template has structured data to generate contextually accurate responses.
Salesforce documentation emphasizes that grounding relies on explicitly defined field sets to avoid exposing unintended data and to comply with security policies.
Page Layout configuration (A) controls UI organization but does not directly enable grounding.
Dynamic Forms (C) customize record pages dynamically but are unrelated to data grounding for prompts.
Question # 4
Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes.
What is a key reason for implementing Einstein Copilot? | | A. Improving data entry and data cleansing | | B. Allowing AI to perform tasks without user interaction | | C. Streamlining workflows and automating repetitive tasks |
C. Streamlining workflows and automating repetitive tasks
Explanation: The key reason for implementing Einstein Copilot is its ability to streamline
work flows and automate repetitive tasks. By leveraging AI, Einstein Copilot can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
Option A(Improving data entry and cleansing) is not the primary purpose of Einstein Copilot, as its focus is on guiding and assisting users through workflows.
Option B(Allowing AI to perform tasks without user interaction) does not accurately describe the role of Einstein Copilot, which operates interactively to assist users in real time.
Question # 5
An AI Specialist wants to include data from the response ofexternal 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. |
B. Use External Service Record merge fields.
Explanation:
An AI Specialist wants to include data from the response of an external service invocation (REST API callout) into a prompt template. The goal is to incorporate dynamic data retrieved from an external API into the AI-generated content.
Solution:
Use External Service Record Merge Fields
External Service Integration:
External Service Record Merge Fields:
Implementation Steps:
Register the External Service:
Create a Named Credential:
Use External Service in Flow:
Configure the Prompt Template:
Why Other Options are Less Suitable:
Option A (Convert the JSON to an XML merge field):
Option C (Use “Add Prompt Instructions” flow element):
References:
Salesforce AI Specialist Documentation -Integrating External Services with Prompt Templates:
Salesforce Help -Using Merge Fields with External Data:
Salesforce Trailhead -External Services and Flow:
Conclusion:
By using External Service Record merge fields, the AI Specialist can effectively include data from external REST API responses into prompt templates, ensuring that the AI generated content is enriched with up-to-date and relevant external data.
Question # 6
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 followingcapabilities 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? | | A. Prompt Defense | | B. Zero-Data Retention Policy | | C. Data Masking |
B. Zero-Data Retention Policy
Explanation: Universal Containers (UC)has concerns about data privacy when using
Salesforce's generative AIfeatures, particularly around preventing third-party LLMs from
accessing or retaining their data. TheZero-Data Retention Policyin theEinstein Trust
Layeris designed to address these concerns by ensuring that:
No data is used for trainingor product improvements by third-party LLMs.
No data is retainedoutside of the customer's Salesforce organization.
The LLM provider cannot access any customer data.
This policy aligns perfectly with UC’s requirements for keeping their data safe while
leveraging generative AI capabilities.
Prompt DefenseandData Maskingare also security features, but they do not
directly address the concerns related to third-party data access and retention.
Question # 7
| 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 |
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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FAQs of Salesforce-AI-Specialist Exam
What is the Salesforce AI Specialist Exam?
Answer: The Salesforce AI Specialist exam tests your knowledge of integrating AI into Salesforce platforms to enhance customer experiences.
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Answer: Study Guides- Utilize the official Salesforce study guide and practice by taking Practice Questions using reliable sources like RealBraindumps.
What is the passing percentage for the Salesforce AI Specialist exam?
Answer: You must score at least 73% or above to pass the Salesforce AI Specialist Exam.
How much does the Salesforce AI Specialist exam cost?
Answer: Salesforce-AI-Specialist exam typically costs $200, but it all depends upon the location.
How many questions will I get in my Salesforce AI Specialist exam?
Answer: There will be 60 multiple-choice questions present in the Salesforce AI Specialist exam.
What is the time duration of the Salesforce AI Specialist exam?
Answer: The time for the exam is 90 minutes, so you will have plenty of time to answer all the questions.
Can I attempt the Salesforce AI Specialist Exam again if I fail?
Answer: Yes, you can retake, but you need to wait 14 days and pay a retake fee.
What are the benefits of obtaining a Salesforce AI Specialist certification?
Answer: Gaining such certification enhances career opportunities through the validation of skills in AI and Salesforce; better opportunities come hand in hand with better networking, increased salary rates, and much more in a present job.
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Answer: The exam consists of 60 multiple choice questions, and it lasts 90 minutes. For More information visit: https://trailhead.salesforce.com/en/credentials/aispecialist
What are the key topic areas of the Salesforce AI Specialist Certification?
Answer: The key topic areas include Einstein Trust Layer, Generative AI in CRM Applications, Prompt Builder, Einstein Copilot, and Model Builder.
How does Salesforce Einstein work?
Answer: Salesforce Einstein integrates AI capabilities into Salesforce, offering tools like Sales emails, Service replies, Einstein Copilot, Prompt Builder, and more.
What are the key topic areas covered in the Salesforce AI Specialist exam?
Answer: The Salesforce AI Specialist exam covers the following key areas: 1. Einstein Trust Layer (15%), 2. Generative AI in CRM Applications (17%), 3. Prompt Builder (37%), 4. Einstein Copilot (23%), 5. and Model Builder (8%).
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