MC-Con-201 Questions and Answers

An Actionable List is the correct audience mechanism when marketers need to target a fixed, specifically selected collection of existing Leads or Contacts without building a Data 360 segment. Salesforce describes Actionable Lists as static collections suited to known individuals, such as imported event attendees or other deliberately selected contacts. An Audience Flow can use a List as its audience source.

For personalization, Content Variables provide dynamic placeholders whose values can be populated by Flow at runtime. Salesforce allows content variables to map to data sources available to Flow, including Salesforce records and other connected data. This makes it possible to supply attributes such as First Name and Account information during message execution.

A Data Graph is designed primarily as a personalization data source and isn't itself the appropriate fixed-list audience source described here. Option A unnecessarily introduces a marketing object and AMPscript when the records already exist as Contacts.

The uploaded master bank identifies C. Salesforce confirms that Audience Flows support List sources and that Actionable Lists represent fixed audiences.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Audience Flows → Actionable Lists and Content Variables.

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The Communication Subscription DMO defines the category of marketing content that customers can subscribe to, such as Weekly Deals, Product Updates, or Event Notifications. The Communication Subscription Channel Type DMO then associates that subscription with each supported engagement channel. Therefore, when Weekly Deals is available through both email and SMS, the subscription is represented by Communication Subscription and its channel relationships are represented through Communication Subscription Channel Type.

Communication Subscription Consent performs a different function: it represents customer-level consent associated with the subscription. It doesn't define which channels are supported by the subscription itself. Engagement Channel Type defines available channels such as Email or SMS, but the question specifically asks for the objects used to define the subscription and map it to communication channels . The linking DMO is therefore Communication Subscription Channel Type.

Salesforce explicitly states that each communication subscription contains at least one channel type and can contain several channels. The uploaded master bank also identifies C.

Study Guide Reference: Consent → Communication Subscription Data Model → Communication Subscription and Communication Subscription Channel Type.

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Marketing Cloud Next provides Consent Banner as a dedicated Salesforce CMS content type . Therefore, the first step is to create a CMS content item of type Consent Banner. Salesforce describes this content type specifically as a banner for marketing landing pages and external websites that collects visitor consent for web-activity tracking.

Once the Consent Banner asset exists, it can be configured for the appropriate tracking environment. Salesforce's web-tracking requirements explicitly state that landing pages with consent-based tracking require a consent banner created in Salesforce CMS , along with the relevant Data 360 web-tracking integration.

Option A is incorrect because an ordinary CMS content block isn't the specialized Consent Banner content type. Option B reverses the required sequence: enabling or applying tracking to a landing-page environment doesn't itself create the consent-banner asset.

This architecture separates reusable consent content from individual landing-page design, allowing administrators to manage tracking-compliance experiences consistently.

The uploaded master bank correctly keys C.

Study Guide Reference: Consent → Web Tracking Consent → Salesforce CMS Consent Banner Content Type.

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After the consultant adds a sending domain, Unified Messaging generates the DNS configuration necessary to authenticate that domain. The required next step is to copy the generated DNS entries and configure them with the organization's DNS provider . Salesforce's current setup procedure states that the generated entries include CNAME and DKIM-related records , after which the consultant returns to Salesforce and verifies the domain.

Salesforce's 2026 DNS guidance states that Marketing Cloud Next authenticated domains require multiple CNAME records and that the outbound CNAME records provide DKIM authentication. The exact number of required CNAME entries can vary with the specific domain configuration and whether the domain is shared, but option B captures the required procedure.

A standalone TXT ownership record isn't sufficient for Marketing Cloud Next email authentication in this scenario. Sender Authentication Package is terminology associated primarily with the legacy Marketing Cloud Engagement configuration model and isn't how Marketing Cloud Next Unified Messaging authenticates a new sending domain.

The master bank keys B. Salesforce's current domain-authentication procedure confirms this DNS configuration sequence.

Study Guide Reference: Platform Setup and Governance → Unified Messaging → Authenticated Sending Domains and DNS Authentication.

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Marketing Cloud Next has its own dedicated consent layer based on Communication Subscription Consent . Salesforce explicitly states that consent data stored in Salesforce CRM is separate from Marketing Cloud Next consent and isn't automatically recognized simply because Marketing Cloud Next has been activated.

Consequently, an implementation that already maintains CRM consent must establish a supported synchronization process. Salesforce currently recommends Salesforce Flows when CRM fields or consent states must drive Marketing Cloud Next consent. For example, an Automation Event-Triggered Flow can monitor changes to Contact or Lead information and use a Consent Request/Create Consent action to update the corresponding Marketing Cloud Next consent state.

Option A is therefore incorrect because existing CRM consent isn't automatically the authoritative sending-time consent source. Option B is also incorrect because activation doesn't automatically synchronize the two models.

The master bank identifies C. Salesforce documentation specifically says that CRM consent records aren't automatically recognized by Marketing Cloud Next and describes flow-based mechanisms for keeping systems aligned.

Study Guide Reference: Consent → Consent Architecture → CRM Consent versus Marketing Cloud Next Communication Subscription Consent.

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The problem isn't merely the batch schedule; the implementation is using an unsupported consent-write path . Salesforce's August 2026 Marketing Cloud Next guidance explicitly warns against using Data 360 batch transforms, streaming transformations, direct data-stream mappings, or bulk APIs to write directly into the Communication Subscription Consent DMO. Those methods can produce consent values that appear stored but aren't consistently honored by the messaging consent layer at send time.

The supported solution is to route the change through Create Consent/Consent Request . A Data 360-triggered flow can listen for the relevant change and invoke Create Consent, which updates the contact point's consent for the required channel and communication subscription through the supported consent service.

Therefore, changing a daily batch to hourly doesn't fix the architectural defect. Switching from batch to streaming transformation also doesn't make a direct DMO write supported.

The master bank correctly identifies B. Salesforce explicitly recommends reissuing incorrectly written consent through a Data 360-triggered flow calling Create Consent.

Study Guide Reference: Consent → Supported Consent Write Methods → Create Consent Action and Data 360-Triggered Flows.

The Communication Subscription Consent DMO stores the individual's actual consent state for Marketing Cloud Next subscription-based communications. Salesforce's consent model separates the definition of a marketing subscription from the customer's consent associated with that subscription.

For example, "Product Updates" or "Events" is represented by a Communication Subscription . Email and SMS are associated channel types. The resulting consent state—such as OPT_IN or OPT_OUT—for the applicable contact point, subscription, and channel is represented through Communication Subscription Consent.

Salesforce explicitly identifies four core objects participating in the Marketing Cloud Next consent architecture: Communication Subscription, Engagement Channel Type, Communication Subscription Channel Type, and Communication Subscription Consent. It also confirms that Marketing Cloud Next consent is stored in the Communication Subscription Consent DMO.

Contact Point Consent isn't the appropriate Marketing Cloud Next subscription-level DMO in this scenario. Communication Subscription defines what customers are subscribing to but doesn't itself store each customer's consent state.

The uploaded master bank also identifies C.

Study Guide Reference: Consent → Communication Subscription Data Model → Communication Subscription Consent.

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Identity Resolution can be a significant consumer of Data Services Credits because profile-unification jobs process qualifying source records. Salesforce specifically recommends controlling unnecessary identity-resolution execution when configuring or modifying rulesets. One supported optimization is to disable Run jobs automatically while making configuration changes and use Run Now deliberately when processing is actually required. This prevents repeated automatic runs while administrators are iterating on match, reconciliation, or filtering logic.

Salesforce also recommends keeping only one active ruleset when possible to reduce usage costs. Therefore, option B would move in the wrong direction: maintaining multiple active rulesets can increase processing and credit consumption rather than reduce it.

Option C is also inappropriate. Recreating data streams can cause unnecessary data reprocessing and isn't the recommended credit-management technique. Data filtering and sensible scheduling are much more controlled approaches.

Because the question states that row-count optimization has already been performed, controlling automatic identity-resolution jobs is the best additional measure among the available options. The master bank keys A.

Study Guide Reference: Data Modeling, Identity Resolution and Segmentation → Identity Resolution → Data Services Billable Usage Types and cost optimization.

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Data 360 supports source-record filters directly on identity resolution rulesets . These filters act as preprocessing gates that determine which records from the ruleset's primary DMO enter that particular unification pipeline.

This is exactly the appropriate architecture when two populations share the same primary DMO but must be unified independently. The consultant can configure criteria distinguishing B2B from B2C records and apply complementary filters to the respective rulesets.

Salesforce specifically identifies separation of B2B and B2C populations as a valid ruleset-filter use case. For example, records can be filtered using an account type, customer type, record type, or other partition-level attribute so that business records don't enter the consumer ruleset and vice versa.

Creating separate DMOs simply to achieve identity-processing isolation isn't necessary when the records properly belong to the same canonical Individual model. Filtering source DLOs also places the separation at the wrong architectural layer because identity-resolution filtering is supported directly at the ruleset level.

The uploaded bank keys B. Salesforce's current ruleset documentation explicitly recommends filters for broad partition-level segregation, including B2B versus B2C scenarios.

Study Guide Reference: Data Modeling, Identity Resolution and Segmentation → Identity Resolution → Ruleset Source Filters.

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A Data 360-triggered flow is the more precise event-driven architecture when the automation should respond to a change in a Calculated Insight Object (CIO). Salesforce explicitly supports Data 360-triggered flows based on changes in either DMOs or calculated insights. The flow can define entry conditions so that it fires when the calculated value changes into the target state—for example, when Churn Risk = High.

This design avoids waiting for an independently scheduled audience-segment publication cycle. Data 360 change processing generates the triggering event after the calculated insight is recalculated and the record satisfies the configured conditions. Salesforce states that Data 360 data actions and triggered flows can react to CIO changes in near real time after the underlying calculation completes.

Option C is incorrect because a normal CRM record-triggered flow isn't the proper trigger type for a Data 360 calculated insight object. Option A can support scheduled re-engagement campaigns, but it introduces segment publication scheduling when the requirement explicitly centers on the moment the insight changes.

The uploaded bank keys A. Current Salesforce documentation directly supports CIO-triggered Data 360 flows, making B the stronger current answer .

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Data 360-Triggered Flows → Calculated Insight Changes.

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An Automation Event-Triggered Flow is the Marketing Cloud Next-native architecture for responding near real time to CRM record changes associated with a Prospect, Lead, or Contact. Salesforce provides the Prospect, Lead, Contact, or Related Record Change automation event specifically for this purpose. It can start a flow when a qualifying related record is created or updated and meets configured conditions.

A Case associated with a Contact can therefore serve as the related object. The consultant can configure the entry condition so the automation executes when Case Status changes to Closed, identify the related Contact, and then send the customer-satisfaction email.

A generic Salesforce record-triggered flow can react to Case changes, but option C uses the purpose-built Marketing Cloud Next automation-event model for marketing communications. An Audience Flow is better suited to scheduled or segment/list-based audiences rather than immediate reaction to an individual CRM record update.

The uploaded source also identifies C.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Automation Event-Triggered Flows → Prospect, Lead, Contact, or Related Record Change.

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Conversational Email is explicitly designed for two-way email interactions in Marketing Cloud Next. Salesforce states that customers can reply directly to outbound emails and that the platform evaluates those replies to determine intent. The resulting conversation can then trigger automated actions, route to an Agentforce agent, or escalate to a human representative while maintaining the original email thread and conversation context.

This precisely matches the requirement for order-notification replies. Salesforce also integrates Conversational Email with Agentforce, Digital Engagement, Service Cloud, Omni-Channel, and Data 360 , allowing AI handling and seamless human escalation. Human representatives can access the complete conversation history when an Agentforce agent escalates the interaction.

Reply Mail Management isn't the complete solution for an AI-driven, contextual conversational experience. Engagement Scoring is predictive marketing functionality based on engagement behavior; it doesn't analyze free-form customer email replies for service intent.

The uploaded document correctly identifies B. Salesforce's current Conversational Email documentation explicitly describes intent analysis, AI/human routing, and contextual thread preservation.

Study Guide Reference: Agentforce and AI Innovation → Conversational Email → Agentforce and Human Escalation.

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Conversational Email provides the most direct and autonomous solution. Rather than forcing customers to navigate to another web experience or create conventional support cases, NTO can make the existing Order Confirmation and Tracking emails conversational. Customers can simply reply to the email with a question such as "Where is my order?"

Salesforce states that Conversational Email integrates with Agentforce, Digital Engagement, and Data 360. The platform analyzes inbound replies, determines intent, and can route the conversation to an Agentforce agent or human representative while preserving the complete email-thread context.

Salesforce specifically lists Order Management and tracking-information requests as a Conversational Email use case. This makes C particularly strong: Agentforce can resolve repetitive tracking requests without generating unnecessary low-value support workload.

Option A adds friction by sending the customer to a separate chatbot page. Option B only automates routing after a support ticket already exists, whereas the requirement is to reduce or eliminate those cases through autonomous handling.

The uploaded source also keys C.

Study Guide Reference: Agentforce and AI Innovation → Conversational Email → Autonomous Service and Order Management.

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A Calculated Insight is designed for aggregations across multiple Data 360 records. The requested values aren't simple attributes stored on one ecommerce order. "Total Items" requires aggregation across the customer's purchase history, while "Favorite Category" requires grouping purchase activity by category and identifying the dominant result.

Salesforce Calculated Insights support aggregate metrics such as sums and counts together with dimensions that enable more granular analysis. Salesforce also supports calculated insight metrics in activations and downstream personalization scenarios.

A streaming insight is unnecessary because the campaign runs monthly and doesn't require second-by-second recalculation. Using a standard formula field as proposed in C also doesn't solve multi-record ecommerce aggregation: formula expressions aren't a substitute for analytical rollups across transaction history.

The uploaded source keys B. One wording issue exists in option B: it says "aggregate the purchase volume for the account," while the scenario ultimately requires values associated with each Unified Individual. The underlying architectural principle remains correct—use a Calculated Insight grouped appropriately to the customer/profile dimension.

Study Guide Reference: Data Modeling, Identity Resolution and Segmentation → Calculated Insights → Metrics, Dimensions, and Aggregations.

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The correct reconciliation strategy is Source Sequence , also described in newer Salesforce materials as Source Priority . This rule lets the consultant rank source systems from most trusted to least trusted when Data 360 must select a single representative value for a unified profile attribute.

In this scenario, Salesforce CRM has already been identified as the authoritative source for First Name. The consultant therefore places the CRM source first in the reconciliation priority. When a CRM value exists, Data 360 selects that value instead of choosing one from a lower-priority ecommerce, loyalty, or external source.

Most Frequent would select whichever value occurs most often among the linked records. That doesn't satisfy the requirement because multiple unreliable sources could outweigh the single trusted CRM value. A custom approach isn't required when source prioritization directly addresses the business rule.

The uploaded master bank identifies B. Salesforce Trailhead still describes this reconciliation method as Source Sequence , while current Help and architecture materials commonly use Source Priority for the same source-ranking concept.

Study Guide Reference: Data Modeling, Identity Resolution and Segmentation → Identity Resolution → Reconciliation Rules → Source Sequence/Source Priority.

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Marketing Cloud Next currently supports three field data types for Marketing Objects: Text, Number, and Decimal .

Salesforce defines Text as a string value of up to 255 characters. Number stores positive or negative integers with up to 18 digits. Decimal stores positive or negative decimal numbers with up to 18 digits. These deliberately constrained field types make Marketing Objects suitable for lightweight campaign, lookup, promotional, localization, and personalization datasets.

Option B is incorrect because Formula isn't listed as a Marketing Object field type. Calculated logic can be handled through other platform capabilities, but formula isn't one of the three selectable types when defining a Marketing Object field.

Option C uses familiar programming terminology—String, Integer, Boolean—but those aren't the Marketing Cloud Next field labels and Boolean isn't currently one of the supported Marketing Object field types documented by Salesforce.

The uploaded master bank identifies option A. This item has direct current-documentation support: Salesforce's Marketing Object Data Types and Resource Allocations reference explicitly lists only Text, Number, and Decimal .

Study Guide Reference: Data Modeling, Identity Resolution and Segmentation → Marketing Objects → Supported Data Types and Resource Allocations.

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Einstein Send Time Optimization (STO) is designed to determine the best time to deliver an email to each individual based on predicted engagement behavior. Salesforce describes STO as a predictive AI capability that analyzes historical data and estimates the send time at which each subscriber is most likely to engage. This makes it the appropriate feature when a global campaign needs individualized delivery timing rather than one fixed send time for the whole audience.

Engagement Frequency addresses a different optimization problem. It determines how frequently a customer should receive email and is primarily intended to reduce fatigue and unsubscribes caused by over-messaging. Engagement Scoring predicts behaviors such as likelihood to open, click, or unsubscribe, allowing marketers to segment or branch audiences according to engagement propensity.

Neither of those features directly schedules each recipient's email for their predicted optimal engagement time.

The master question bank identifies A as the answer. Salesforce's STO model documentation likewise states that the feature maximizes email engagement by optimizing individual send times.

Study Guide Reference: Agentforce and AI Innovation → Einstein Predictive AI → Send Time Optimization.

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Omni-Channel routing is the Salesforce architecture used to assign inbound conversations to Agentforce Service Agents or human service representatives. Conversational Email integrates Marketing Cloud Next with Agentforce and Service Cloud so that customer replies can remain within the same conversation thread and be routed appropriately.

Salesforce documents Omni-Channel flows as the mechanism for routing conversation-associated records to Agentforce. In general Agentforce channel architecture, the inbound Omni-Channel flow receives the conversation record and routes work to the configured Service Agent. For Conversational Email specifically, Salesforce also documents routing types such as Omni-Flow for directing a reply to a Service Agent.

A generic record-triggered flow on Email Message doesn't provide the complete channel-routing behavior required for Agentforce ownership. A platform-event trigger likewise isn't the prescribed Conversational Email routing architecture.

The uploaded master bank identifies B.

Study Guide Reference: Agentforce and AI Innovation → Conversational Email → Omni-Channel and Agentforce Routing.

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The uploaded bank keys C , which places the automation at the layer where the actual email-click engagement exists: Data 360 engagement data.

Current Salesforce documentation supports the core architecture. Create Consent is supported in Data Cloud/Data 360-triggered flows and can be used to automate consent updates based on behavioral data such as a link click . Salesforce explicitly describes link clicks and form submissions as valid sources for automated Create Consent processing.

The original CRM Lead record doesn't itself become updated merely because an email engagement event occurred, so a conventional Lead record-triggered flow is an unreliable trigger for this behavior. A Data 360-triggered flow can instead react to the appropriate engagement DMO event and pass the relevant sending contact point into Create Consent.

The source specifically identifies the Email Engagement DMO, click criteria, link URL, and Send time Email Address fields. Those exact field-level details are source-derived; current public Salesforce documentation independently confirms the broader Data 360-triggered + Create Consent pattern.

Study Guide Reference: Consent → Behavioral Consent Automation → Data 360-Triggered Flow and Create Consent.

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Unified Engagement History is designed to give Salesforce users a consolidated view of marketing engagement directly within CRM record pages. Salesforce instructs administrators to turn on Unified Engagement History Dashboards and then add the appropriate dashboard component to Account, Lead, Contact, and Opportunity record pages.

This provides sales and marketing users with contextual engagement information without requiring them to leave the CRM record. Marketing engagement can include the individual's interactions with emails, forms, web activity, campaigns, and other Marketing Cloud Next touchpoints represented through the unified engagement model.

The Email Engagement dashboard is useful for aggregate email-performance analysis, but it isn't the specialized CRM-record-level engagement-history experience requested here. Similarly, the Website Engagement DMO alone only represents one class of behavior and wouldn't provide the combined email, form, and page-view history required by the scenario.

The uploaded master bank identifies B. Salesforce's current setup documentation explicitly states that Unified Engagement History components should be added to Contact and other CRM record pages to expose marketing engagement data to users.

Study Guide Reference: Analytics and Performance Insights → Unified Engagement History → CRM Record Page Integration.

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The Activation data provider is specifically designed to expose attributes from a Data 360 segment activation to Marketing Cloud Next email content. Salesforce states that the Activation data provider references a Data 360 segmentation activation and makes its recipient attributes available as merge fields.

That directly fits the scenario. If the activation includes a calculated attribute such as Loyalty Tier, the marketer can add the Activation data provider to the email and reference that attribute during personalization.

A Data Graph is appropriate when the email needs profile attributes or related Data 360 data that isn't already part of the activation. It isn't necessary merely to expose attributes already included in the activation payload. An Apex Class is used when custom runtime code or complex external data retrieval is required; neither condition exists here.

This question is importantly different from the earlier runtime-value scenario: Activation is appropriate when the value actually comes from Data 360 activation data. A manually supplied campaign value would instead call for a Content Variable.

The uploaded bank correctly identifies A.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Personalization Data Providers → Activation.

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Among the supplied choices, A represents the Marketing Cloud Next consent-layer update rather than manipulating the ordinary CRM Email Opt Out field . Current Salesforce terminology has evolved: service representatives can view and update Marketing Cloud Next consent from the Salesforce record using the Privacy Consent Status Lightning Web Component , while automated changes use Create Consent/Consent Request.

Salesforce explicitly states that the standard HasOptedOutOfEmail field on Lead or Contact isn't used by Marketing Cloud Next consent by default. Therefore, C doesn't reliably unsubscribe the person from Marketing Cloud Next communications.

A preference page is normally the customer's self-service experience. Customers can use an "unsubscribe from all emails" preference-page action, which sets them to OPT_OUT for all applicable subscriptions, but the scenario describes a service representative acting on the customer's request.

The uploaded source keys A. The phrase "Consent Status flow element" reflects older/imprecise terminology; the current manual interface is Privacy Consent Status.

Study Guide Reference: Consent → Manual Consent Management → Privacy Consent Status and Subscription-Level Opt-Out.

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An Apex Class data provider is the appropriate solution when personalization requires custom runtime logic and data that isn't already available in Data 360. Salesforce supports Apex Class as a personalization data source for both email and SMS content.

The Apex data provider enables custom Apex logic to supply simple or complex values to the marketing message at runtime. This is especially relevant when an external system must be queried, proprietary calculations must be executed, or structured data must be assembled immediately before rendering the message.

A Data Graph would require the relevant information to already exist within Data 360 or be represented through its associated DMOs. That contradicts the requirement that the external information isn't stored there. An Event data provider works well when the triggering event itself contains all required values, but the question specifically states that a complex calculation against external system data must occur at send time. That requirement calls for executable server-side logic rather than simple event-payload personalization.

The uploaded bank keys C. Salesforce explicitly documents Apex Class as a supported data provider for personalized Email and SMS and notes that it can supply complex structured data.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Advanced Personalization → Apex Data Providers.

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Marketing Cloud Next's native lead-generation architecture uses a landing page, form, and flow . Salesforce states that forms collect visitor information, landing pages host the forms, and flows process the submitted values. When a Signup Form campaign is used, Marketing Cloud Next can automatically create and connect these assets.

The form can use Salesforce Lead as a data source. After submission, the associated flow performs the appropriate CRM actions, such as creating the Lead and optionally creating consent or sending follow-up communications. Salesforce specifically describes a form as having two functional pieces: its fields/settings and the flow that processes submitted data.

A form handler is generally used when integrating external forms rather than when building the registration experience natively on a Marketing Cloud Next landing page. A separate Data 360 data stream isn't required simply to create the CRM Lead from the native form.

The uploaded master bank identifies option B.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Forms and Landing Pages → Signup Form Campaigns and Lead Creation.

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The correct data source is Event because the required Order Number belongs to the purchase event that initiated the marketing interaction. Marketing Cloud Next supports Event as a personalization data source for Email, SMS, and WhatsApp messages . Event-based personalization makes attributes carried by the triggering event available as merge fields within the message.

In this scenario, when the purchase occurs, the triggering event contains contextual transaction information such as the Order Number. The WhatsApp template can reference that event attribute directly without requiring the value to be separately persisted and retrieved through a Data Graph.

A Data Graph is more appropriate when personalization requires persistent customer-profile information or attributes from related Data 360 objects. A Salesforce Record source is appropriate when the content specifically needs fields from a CRM record supplied to the personalization context. Neither is necessary when the desired information originates directly from the event that triggered the message.

The uploaded master bank identifies option C. Salesforce's personalization reference confirms that Event is supported for WhatsApp and can supply event-based attributes to marketing content.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → Content Personalization → Event Data Sources and WhatsApp Messaging.

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An On-Demand Flow invoked through the REST API is specifically designed for externally initiated, real-time automation in Marketing Cloud Next. Salesforce supports triggering this flow type by calling the Flow invocable-action REST endpoint. Input variables can be supplied with the request and then used by downstream flow actions.

That architecture is ideal for a one-time verification code. The external authentication service generates the code, calls the Marketing Cloud Next on-demand flow, passes the code and recipient information as input values, and the flow immediately uses those values in the Send Email Message action.

There is no reason to persist an ephemeral security value such as a one-time code into Data 360 merely so it can be read back by a Data Graph. Doing so adds ingestion and synchronization latency. Similarly, waiting for an Automation Event-Triggered Flow to detect streamed data introduces unnecessary infrastructure when the external system already knows exactly when the message must be sent.

The uploaded bank correctly keys C. Salesforce's On-Demand Flow release documentation explicitly states that REST API calls can trigger this flow type for externally initiated marketing interactions.

Study Guide Reference: Campaign Design, Flow Orchestration and Content → On-Demand Flows → REST API Invocation and Runtime Personalization.

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