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SALESFORCE AI SPECIALIST EXAMS SET PRACTICE SOLUTION TESTED QUESTIONS WITH COMPLETE ANSWERS

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SALESFORCE AI SPECIALIST EXAMS SET PRACTICE SOLUTION TESTED QUESTIONS WITH COMPLETE ANSWERS

Institution
Salesforce AI
Course
Salesforce AI

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SALESFORCE AI SPECIALIST EXAMS SET
PRACTICE SOLUTION TESTED QUESTIONS
WITH COMPLETE ANSWERS

●● Masked data and toxicity score
Answer: Universal Containers is considering leveraging the Einstein
Trust Layer in conjunction with Einstein Generative AI Audit Dat a.
Which audit data is available using the Einstein Trust Layer?


●● Create a Flex template to add resources with standard and custom
objects as inputs.
Answer: Universal Containers wants to make a sales proposal and
directly use data from multiple unrelated objects (standard and custom)
in a prompt template. What should the AI Specialist recommend?


●● View session data including user Input and copilot responses for
sessions over the past 7 days.
Answer: What is an AI Specialist able to do when the "Enrich event logs
with conversation data" setting in Einstein Copilot is enabled?


●● Configure data masking in the Einstein Trust Layer setup.
Answer: Universal Containers' current AI data masking rules do not
align with organizational privacy and security policies and requirements.
What should an AI Specialist recommend to resolve the issue?

,●● The records related to the prompt have not been selected
Answer: An administrator wants to check the response of the Flex
prompt template they've built, but the preview button is greyed out.
What is the reason for this?


●● Model Builder
Answer: Universal Containers' data science team is hosting a generative
large language model (LLM) on Amazon Web Services (AWS). What
should the team use to access externally-hosted models in the Salesforce
Platform?


●● The number of tokens generated by the dynamic nature of the prompt
template will vary by record.
Answer: An AI Specialist built a Field Generation prompt template that
worked for many records, but users are reporting random failures with
token limit errors. What is the cause of the random nature of this error?


●● Dynamic grounding with secure data retrieval
Answer: 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?

,●● . Einstein Copilot analyzes the user's request and LLM technology is
used to generate and display
Answer: A Salesforce Administrator is exploring the capabilities of
Einstein Copilot to enhance user interaction within their organization.
They are particularly interested in how Einstein Copilot processes user
requests and the mechanism it employs to deliver responses. The
administrator is evaluating whether Einstein Copilot directly interfaces
with a large language model (LLM) to fetch and display responses to
user inquiries, facilitating a broad range of requests from users. How
does Einstein Copilot handle user requests In Salesforce?


●● Create Close Plan
Answer: Universal Containers wants to utilize Einstein for Sales to help
sales reps reach their sales quotas by providing Al-generated plans
containing guidance and steps for closing deals. Which feature should
the AI Specialist recommend to the sales team?


●● Masked data will be de-masked during response journey.
Answer: How does the Einstein Trust Layer ensure that sensitive data is
protected while generating useful and meaningful responses?


●● Enable Einstein Conversation Insights, enable sales recording, assign
permission sets, and customize insights with up to 50 products.
Answer: 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?

, ●● Identify the best matching actions and correct order of execution
Answer: What is the role of the large language model (LLM) in
executing an Einstein Copilot Action?


●● Execute tasks based on available actions, answering questions using
information from accessible Knowledge articles
Answer: A service agent is looking at a custom object that stores travel
information. They recently received a weather alert and now need to
cancel flights for the customers that are related with this itinerary. The
service agent needs to review the Knowledge articles about canceling
and rebooking the customer flights. Which Einstein Copilot capability
helps the agent accomplish this?


●● In Copilot Builder within the Dynamic Panel, turn on dynamic
debugging to show the inputs and outputs
Answer: An AI Specialist has created a copilot custom action using flow
as the reference action type. However, it is not delivering the expected
results to the conversation preview, and therefore needs troubleshooting.
What should the AI Specialist do to identify the root cause of the
problem?


●● B. Einstein Reply Recommendations
Answer: A support team handles a high volume of chat interactions and
needs a solution to provide quick, relevant responses to customer
inquiries. Responses must be grounded in the organization's knowledge

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Institution
Salesforce AI
Course
Salesforce AI

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Uploaded on
May 4, 2026
Number of pages
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Written in
2025/2026
Type
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Contains
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