Free Salesforce-AI-Specialist: Salesforce Certified AI Specialist Exam Questions and Answers
85 verified practice questions for Salesforce-AI-Specialist.
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Last updated: September 19, 2026
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Question #1
Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users findthat the draft email containsplaceholders for attributes that could have been derived from the recipient's contact record. What is the most likely explanation for why the draft email shows these placeholders?
Please select an optionIncorrectCorrect answer: B
When usingEinstein Generative Alto create personalized emails, if placeholders appear in the draft email where data from a recipient'sContactrecord should be, the most likely reason is that the user lacks permission to access the necessary fields. Salesforce's field-level security may prevent users from viewing or utilizing certain data fields, resulting in placeholders being shown instead of the actual values. • Option Bis correct because missing field permissions will cause placeholders in email drafts. • Option A(missing Einstein Sales Emails permission) is unlikely, as this would prevent email generation altogether, not just placeholders. • Option C(locale language issues) would more likely affect language-specific issues, not field placeholders. References: • Salesforce Email Template and Permissions Documentation:https://help.salesforce.com/s/articleView?id=sf.email_templates_fie ld_permissions.htm
Was this answer correct?Question #2
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?
Please select an optionIncorrectCorrect answer: A
WhenUniversal Containersuses theDraft with Einsteinfeature inSales Cloudto create a personalized email, the predefined adjustment toMake Less Formalis the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism. • Enhance Friendlinesswould make the tone more positive, but not necessarily more casual. • Optimize for Clarityfocuses on making the draft clearer but doesn't adjust the tone. For more details, seeSalesforce documentation on Einstein-generated email drafts and tone adjustments.
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An AI Specialist wants to ground a new prompt template with the User related list. What should the AI Specialist consider?
Please select an optionIncorrectCorrect answer: A
An AI Specialist wants to ground a new prompt template with theUser related list. Grounding in prompt templates involves using data from related lists to provide context or additional information to the Large Language Model (LLM) when generating responses. Key Consideration: • Unsupported Related Lists in Prompt Templates: Why Options A and B are Incorrect: • Option A (The User related list should have View All access): • Option B (The User related list needs to be included on the record page): References: • Salesforce AI Specialist Documentation -Prompt Templates Limitations: • Salesforce Help -Data Access in Prompt Templates: • Salesforce Trailhead -Understanding Prompt Template Grounding: Conclusion: Since the User related list is not supported in prompt templates, the AI Specialist must consider alternative approaches. They might need to redesign the prompt template to use supported objects or related lists, or explore other methods to incorporate necessary user information while adhering to Salesforce's data access policies.
Was this answer correct?Question #4
Based on the user utterance, ??Show me all the customers in New York", which standard Einstein Copilot action will the planner service use?
Please select an optionIncorrectCorrect answer: A
Thestandard Einstein Copilot actionthat would be used in response to the user utterance, ??Show me all the customers in New York,?? isQuery 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 Recordsis the action that fetches relevant data based on the criteria provided in the user's input. • Select Recordsis more about picking specific records from an already presented list. • Fetch Recordsis not a standard term used in this context for the action. Refer toEinstein Copilot documentationon how Copilot actions work with natural language queries and data retrieval.
Was this answer correct?Question #5
Northern Trail Outfitters (NTO) wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page. After provisioning Data Cloud, which step must an Al Specialist take to make this option available to NTO?
Please select an optionIncorrectCorrect answer: B
For Northern Trail Outfitters (NTO) to configure theEinstein Trust Layer, the Einstein Generative AIfeature must be enabled. The Einstein Trust Layer is closely tied to generative AI capabilities, ensuring that AI-generated content complies with data privacy, security, and trust standards. • Option A(Turning on Einstein Copilot) is unrelated to the setup of the Einstein Trust Layer, which focuses more on generative AI interactions and data handling. • Option C(Turning on Prompt Builder) is used for configuring and building AI-driven prompts, but it does not enable the Einstein Trust Layer. Salesforce AI Specialist References:For more details on the Einstein Trust Layer and setup steps:https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_overview.htm
Was this answer correct?Question #6
Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?
Please select an optionIncorrectCorrect answer: A
Poor prompt performance when generating case summaries is often due to the data used forgroundingbeingincorrect or incomplete. Grounding involves feeding accurate, relevant data to the AI so it can generate appropriate outputs. If the data source is incomplete or contains errors, the generated summaries will reflect that by being inaccurate or insufficient. • Option B(prompt template incompatibility with the LLM) is unlikely because such incompatibility usually results in more technical failures, not poor content quality. • Option C(Einstein Trust Layer misconfiguration) is focused on data security and auditing, not the quality of prompt responses. For more information, refer toSalesforce documentation on grounding AI modelsand data quality best practices.
Was this answer correct?Question #7
Universal Containers plans to enhance the customer support team's productivity using AI. Which specific use case necessitates the use of Prompt Builder?
Please select an optionIncorrectCorrect answer: A
The use case that necessitates the use ofPrompt Builderiscreating a draft of a support bulletin postfor new product patches.Prompt Builderallows the AI Specialist to create and refine prompts that generate specific, relevant outputs, such as drafting support communication based on product information and patch details. • Option B(agent performance score) would likely involve predictive modeling, not prompt generation. • Option C(estimating support ticket volume) would require data analysis and predictive tools, not prompt building. For more details, refer toSalesforce's Prompt Builder documentationfor generative AI content creation.
Was this answer correct?Question #8
Universal Containers is using Einstein Copilot for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the copilot to match opportunities. What is one criteria that Einstein Copilot for Sales uses to match similar opportunities?
Please select an optionIncorrectCorrect answer: C
WhenEinstein Copilot for Salesmatches similar opportunities, one of the primary criteria used is whether the opportunities have astatus of Closed Wonwithin the last 12 months. This is a key factor in identifying successful patterns that could help close current deals. By focusing on opportunities that have been recently successful, Einstein Copilot can provide relevant insights and suggestions to sales reps to help them close similar deals faster. For more information, reviewSalesforce Einstein Copilot documentationrelated to opportunity matchingand sales success patterns.
Was this answer correct?Question #9
Universal Containers (UC) has recently received an increased number of support cases. As a result, UC has hired more customer support reps and has started to assign some of the ongoing cases to newer reps. Which generative AI solution should the new support reps use to understand the details of a case without reading through each case comment?
Please select an optionIncorrectCorrect answer: C
New customer support reps atUniversal Containerscan useEinstein Work Summariesto quickly understand the details of a case without reading through each case comment.Work Summariesleverage generative AI to provide a concise overview of ongoing cases, summarizing all relevant information in an easily digestible format. • Einstein Copilotcan assist with a variety of tasks but is not specifically designed for summarizing case details. • Einstein Sales Summariesare focused on summarizing sales-related activities, which is not applicable for support cases. For more details, refer toSalesforce documentation on Einstein Work Summaries.
Was this answer correct?Question #10
Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) inaprompt template. What should the AI Specialist recommend?
Please select an optionIncorrectCorrect answer: A
Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using aFlex template. Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows. References: • Salesforce AI Specialist Documentation - Flex Templates:Explains how Flex templates can be utilized to incorporate data from multiple sources, providing a flexible solution for complex data requirements in prompt templates.
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