AI-201 Practice Questions
315 real AI-201 exam questions with expert-verified answers and explanations. Page 4 of 7.
- Question #151AI Features for Service (e.g., Einstein Bots, Next Best Action)
An Agentforce at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC...
AI IntegrationPrompt EngineeringFoundation ModelsData Grounding - Question #152AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers aims to streamline the sales team's daily tasks by using AI. When considering these new workflows, which improvement requires the use of Prompt Builder?
Prompt BuilderGenerative AIAI SummarizationSalesforce AI Tools - Question #153AI Features for Service (e.g., Einstein Bots, Next Best Action)
A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities. How does the large language model (LLM) in...
Agent AssistantLLMIntent RecognitionSalesforce AI - Question #154AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity. After an agent-customer conversation, which additional...
Einstein Work SummariesAI for ServiceAgent ProductivityAutomated Summarization - Question #155Agent Console Configuration and Customization
Universal Containers has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system. For the given flow, what should the Ag...
Salesforce SecurityFlowsCustom ActionsData Access Management - Question #156AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding. What should UC consider when using stand...
Service AI GroundingField TypesCustom FieldsAI Feature Limitations - Question #157AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large language model (LLM). The order status is stored in the external enterprise...
LLM groundingExternal data integrationEinstein CopilotAgentforce - Question #158Service Cloud Fundamentals for Agents
In addition to Recipient and Sender, which object should An Agentforce utilize for inserting merge fields into a Sales email template prompt?
Email TemplatesMerge FieldsSalesforce ObjectsAgent Communication - Question #159AI Features for Service (e.g., Einstein Bots, Next Best Action)
What does it mean when a prompt template version is described as immutable?
Prompt TemplatesImmutabilityVersion ControlAI Features - Question #160AI Features for Service (e.g., Einstein Bots, Next Best Action)
A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to w...
LLMsPrompt TemplatesGenerative AIPersonalized Emails - Question #161AI Features for Service (e.g., Einstein Bots, Next Best Action)
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...
Sales CloudSales InsightsAI FeaturesAccount Management - Question #162AI Features for Service (e.g., Einstein Bots, Next Best Action)
An Agentforce needs to enable the use of Sales Email prompt templates for the sales team. The Agentforce Specialist has already created the templates in Prompt Builder. According t...
Prompt BuilderPrompt TemplatesPermission SetsSalesforce AI Configuration - Question #163AI Features for Service (e.g., Einstein Bots, Next Best Action)
After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should the Age...
AI agent configurationService team deploymentTopics and actionsTesting and review - Question #164AI Features for Service (e.g., Einstein Bots, Next Best Action)
After creating a foundation model in Einstein Studio, which hyperparameter should An Agentforce use to adjust the balance between consistency and randomness of a response?
Einstein StudioFoundation ModelsHyperparametersTemperature - Question #165AI Features for Service (e.g., Einstein Bots, Next Best Action)
A Salesforce Agentforce Specialist is reviewing the feedback from a customer about the ineffectiveness of the prompt template. What should the Agentforce Specialist do to ensure th...
Prompt TemplatesPrompt Builder ScorecardAI EffectivenessSalesforce AI for Service - Question #166AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to...
Generative AIPersonalized RecommendationsData CollectionChatbot - Question #167AI Features for Service (e.g., Einstein Bots, Next Best Action)
An Agentforce is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the AX Speciali...
User UtterancesAI AnalyticsCustomer Interaction AnalysisPattern Identification - Question #168AI Features for Service (e.g., Einstein Bots, Next Best Action)
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...
AI Custom ActionsIntent RecognitionBot ConfigurationAction Instructions - Question #169AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) is tracking web activities in Data Cloud for a unified contact, and wants to use that in a prompt template to help extract insights from the data. Assumin...
Data CloudPrompt TemplateEinstein GPTData Unification - Question #170AI Features for Service (e.g., Einstein Bots, Next Best Action)
What is a Salesforce Agentforce Specialist able to configure in Data Masking within the Einstein Trust Layer?
Data MaskingEinstein Trust LayerPrivacy ConfigurationAgentforce Specialist - Question #171AI Features for Service
Universal Containers is interested in using Call Explorer to quickly gain insights from meetings recorded by its sales team. What should the Agentforce Specialist be aware of befor...
Einstein Conversation InsightsCall ExplorerFeature SetupPermissions - Question #172AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology. However, UC is concerned that public AI virtual assistants lack adequat...
Generative AIEinstein AIFine-tuningAI Customization - Question #173AI Features for Service (e.g., Einstein Bots, Next Best Action)
After an agent selects a topic, what is an important factor the reasoning engine uses to select the action?
Einstein BotsAction priorityReasoning engineService automation - Question #174AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers has a new AI project. What should An Agentforce consider when adding a related list on the Account object to be used in the prompt template?
AI PromptsPrompt TemplatesRelated ListsMerge Fields - Question #175AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?
AI Agent ActionsBot CapabilitiesRecord ManagementService Cloud AI - Question #176AI Features for Service (e.g., Einstein Bots, Next Best Action)
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 Agentfor...
Einstein Work SummariesGenerative AICustom FieldsQuick Actions - Question #177AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template. Which flow element should UC use?
Flex Prompt TemplatesSalesforce FlowAI IntegrationPrompt Engineering - Question #178AI Features for Service (e.g., Einstein Bots, Next Best Action)
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...
Generative AIPrompt TemplatesFlowAutomation - Question #179AI Features for Service (e.g., Einstein Bots, Next Best Action)
Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?
Generative AIMobile ConfigurationSalesforce Mobile App - Question #180Knowledge Management and Self-Service
Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides. What should the Agentforce Specialist do to meet this r...
Knowledge articlesContent managementAgent productivityDocumentation - Question #181AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?
Prompt TemplatesField GenerationEinstein GPT - Question #182AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM). What is an important consideration for this requirement?
LLM PromptsCRM Data IntegrationJSON FormattingApex Code - Question #183AI Features for Service (e.g., Einstein Bots, Next Best Action)
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?
Einstein Prompt BuilderGenerative AIPersonalized communicationEmail automation - Question #184Case Management and Workflow Automation
Universal Containers would like to route a service agent conversation to a human agent queue. Which tool connects the service agent to the human agent queue for escalation?
Omni-Channel FlowsService Cloud RoutingEscalation ManagementWorkflow Automation - Question #185AI Features for Service (e.g., Einstein Bots, Next Best Action)
Based on the user utterance, 'Show me all the customers in New York', which standard Agent action will the planner service use?
Einstein BotsBot ActionsData RetrievalNLU - Question #186Agent Console Configuration and Customization
Once a data source is chosen for an Agentforce Data Library, what is true about changing that data source later?
Data Library ManagementData Source ConfigurationAgentforce FeaturesPlatform Limitations - Question #187Knowledge Management and Self-Service
How is Data Cloud leveraged by the Answer Questions with Knowledge action in Agentforce?
Data CloudKnowledge ManagementAgent ProductivityKnowledge Indexing - Question #188AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) wants its AI agent to return responses quickly. UC needs to optimize the retriever's configuration to ensure minimal latency when grounding AI responses....
AI Agent OptimizationRetriever ConfigurationLatency ReductionSearch Efficiency - Question #189AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers (UC) users are complaining that agent answers are not satisfactory. The agent is using PDF files as a knowledge source. How should UC troubleshoot this issue?
Knowledge RetrievalAI-powered Agent AssistanceTroubleshootingData Source Configuration - Question #190AI Features for Service (e.g., Einstein Bots, Next Best Action)
What is the primary function of the reasoning engine in Agentforce?
AgentforceReasoning EngineAI AgentsIntent Recognition - Question #191AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query th...
Einstein CopilotFlow IntegrationAgent ActionsConversational AI - Question #192Agent Console Configuration and Customization
Universal Containers deployed the new Agentforce Sales Development Representative (SDR) Into production, but sales reps are saying they can't find it. What is causing this issue?
Salesforce securityPermission setsUser access managementFeature visibility - Question #193AI Features for Service (e.g., Einstein Bots, Next Best Action)
A sales manager needs to contact leads at scale with hyper-relevant solutions and customized communications in the most efficient manner possible. Which Salesforce solution best su...
Prompt BuilderGenerative AICustomized CommunicationsEinstein AI - Question #194Knowledge Management and Self-Service
A Universal Containers administrator is setting up Einstein Data Libraries. After creating a new library, the administrator notices that only the file upload option is available; t...
Einstein Data LibrariesSalesforce KnowledgeKnowledge Base IntegrationSetup Configuration - Question #195AI Features for Service (e.g., Einstein Bots, Next Best Action)
Universal Containers wants its AI agent to answer customer questions with precise and up-to- date information. How does an Agentforce Data Library simplify and enable this?
AI AgentsData LibraryKnowledge RetrievalData Indexing - Question #196Service Cloud Fundamentals for Agents
Which object stores the conversation transcript between the customer and the agent?
Salesforce Service CloudMessagingStandard ObjectsConversation Transcript - Question #197Service Cloud Fundamentals for Agents
An Agentforce Service Agent, who has been successfully assisting customers with service requests in Salesforce, is now unable to help customers with issues related to a new product...
Salesforce PermissionsObject AccessPermission SetsCustom Objects - Question #198AI Features for Service (e.g., Einstein Bots, Next Best Action)
In the context of retriever and search indexes, what best describes the data preparation process in Data Cloud?
Data PreparationVectorizationSearch IndexesSalesforce Data Cloud - Question #199AI Features for Service (e.g., Einstein Bots, Next Best Action)
An Agentforce Agent has been developed with multiple topics and Agent Actions that use flows and Apex. Which options are available for deploying these to production?
Einstein Bot DeploymentAgent ActionsChange SetsSalesforce CLI - Question #200AI Features for Service (e.g., Einstein Bots, Next Best Action)
Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers....
LLM IntegrationPrompt TemplatesField GenerationEinstein GPT