521 questions total · 7pages · All types, answers revealed
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Which THREE types of activation targets are natively supported in Data Cloud?
S3 is a standard file-based activation target.
Why this answer
Data Cloud supports activations to Marketing Cloud, Amazon S3, and various CRM platforms natively.
A consultant is reviewing activation performance issues where activation publishing jobs are taking significantly longer than expected. Which THREE factors could contribute to this performance degradation? (Choose three.)
Larger segment sizes require more processing time and payload generation.
Why this answer
Activation performance can be impacted by large segment volumes, heavy attribute payload mapping, and external API or storage rate limits.
Which THREE characteristics apply to Data Model Objects (DMOs) in Data Cloud? (Choose THREE)
DMOs follow the CIM standard for harmonization.
Why this answer
DMOs represent harmonized data structured according to the Cloud Information Model, can be standard or custom, and serve as the foundation for segmentation and insights.
A consultant is troubleshooting a Calculated Insight that fails upon publication with a syntax error. The query uses a CASE statement to categorize customer spend. What is a key syntax requirement for CASE statements in Data Cloud Calculated Insights?
Calculated Insights enforce standard ANSI SQL rules, requiring correct structure including the terminating END keyword for CASE expressions.
Why this answer
Calculated Insights use ANSI SQL. CASE statements must follow standard ANSI SQL syntax, including all necessary WHEN, THEN, ELSE, and END keywords.
What happens when a segment is recalculated in Data Cloud regarding its associated activations?
Activations evaluate segment membership upon execution, capturing the latest recalculation results.
Why this answer
When a segment is recalculated, existing activations associated with that segment reflect the updated audience membership upon their next scheduled activation run.
An enterprise is experiencing performance degradation during activation publication. The consultant notices that multiple large segments are scheduled to activate at the exact same hour. What architectural adjustment should the consultant make?
Staggering schedules reduces peak load on export pipelines and external API endpoints.
Why this answer
Staggering activation schedules prevents resource contention and API locking when multiple large audience segments attempt to export concurrently.
A Data Cloud consultant is setting up Identity Resolution for an enterprise customer that has both B2C and B2B data. Which step must be completed before creating an identity resolution ruleset in Salesforce Data Cloud?
Mapping to the Individual DMO is a strict prerequisite because Identity Resolution rulesets operate on the Individual DMO and its related entities.
Why this answer
Before you can create an identity resolution ruleset, you must map your data model objects to the Individual and related DMOs, and ensure data streams are ingested.
A consultant needs to segment customers based on whether they have purchased specific product categories. The data model includes Unified Individual, Unified Contact Point, Sales Order DMO, and Product DMO. Which THREE strategies should the consultant employ? Choose 2 options. (Wait, prompt says THREE for half, let's provide 3 correct options). Choose 3 options.
Sales orders must relate back to the profile for profile-based segmentation.
Why this answer
Building multi-object segments requires connecting profile, transaction, and product catalogs correctly through data model relationships.
An administrator needs to monitor the execution history and status of batch data streams and data refreshes in Data Cloud. Which interface provides this operational visibility?
The Data Streams tab in Data Cloud Setup provides detailed execution status, row counts, and error logs for every ingestion run.
Why this answer
The Data Cloud setup interface includes monitoring tabs for data streams, activation history, and ingestion runs to troubleshoot failures.
When creating an activation for an advertising platform like Google Ads, what is the primary purpose of defining Contact Points within the activation?
Contact points provide the necessary matching identifiers for external advertising platforms.
Why this answer
Contact points (such as hashed email addresses or phone numbers) are required by ad platforms for identity resolution and matching user profiles.
An administrator wants to connect a Marketing Cloud Engagement account to Data Cloud. What is the initial setup step required in Marketing Cloud before establishing the connection in Data Cloud?
Connecting Marketing Cloud to Data Cloud requires credentials generated via an Installed Package in Marketing Cloud Engagement.
Why this answer
Establishing the Marketing Cloud connector requires creating an API integration (Installed Package) in Marketing Cloud with appropriate permissions.
An enterprise customer has deployed Data Cloud and is utilizing Marketing Cloud Engagement as an activation target. The marketing team notices that serialized custom attributes from a Data Cloud Calculated Insight are not appearing in Marketing Cloud Engagement Data Extensions. Upon troubleshooting, the consultant finds that the Calculated Insight is scheduled correctly. What is the most likely root cause?
For attributes from Calculated Insights to be available in activation targets, they must flow into an activation-enabled DMO.
Why this answer
Calculated Insights must be published to a Data Lake Object (DLO) or Data Model Object (DMO) that supports activation before they can be leveraged in activation targets like Marketing Cloud Engagement.
What is the primary benefit of using a Data Action Target over a batch activation target?
Data Actions process events as they stream in, offering immediate responsiveness compared to scheduled batch activations.
Why this answer
Data Actions enable near real-time event-driven integration, triggering external webhooks or Core Salesforce features instantly when data changes.
Which role or permission set is generally required to configure data streams and data models in Data Cloud?
Administrative permissions in Data Cloud are required to build data streams and models.
Why this answer
Data Cloud Administration or specific Data Cloud user permission sets are required to configure data streams, mappings, and data models.
Which THREE best practices should a consultant follow when configuring streaming ingestion via the Ingestion API? (Choose THREE)
Handling HTTP 429 rate limits with exponential backoff ensures data delivery reliability.
Why this answer
Best practices for the Ingestion API include defining strict JSON schema contracts, implementing exponential backoff retry logic for 429 errors, and sending payloads with unique primary keys.
A Data Cloud Consultant is configuring real-time data ingestion using the Ingestion API. Which THREE technical requirements must be met to ensure successful API ingestion? (Choose three.)
API requests must authenticate using OAuth 2.0 tokens.
Why this answer
Ingesting data via the Ingestion API requires proper authentication (OAuth), adherence to payload schema definitions, and correct endpoint URLs.
An administrator is setting up a Salesforce CRM data stream and notices that certain custom objects created in CRM are not available to select in the CRM connector bundle wizard. What is the reason?
Standard CRM bundles cover specific standard objects; custom objects can be added via custom data streams using the CRM connector source.
Why this answer
Custom objects in CRM must have specific properties (such as being queried via API or included in change data capture / enabled for reporting/streaming) or custom objects can be added via custom data streams if not part of the standard CRM bundles.
A consultant is configuring identity resolution and needs to ensure that when multiple sources provide a customer's birthdate, the oldest recorded birthdate is retained on the unified profile. Which reconciliation rule should be used?
When dealing with chronological data where standard Most Recent isn't appropriate, Source Sequence allows explicit prioritization based on known system reliability (e.g., legacy master system).
Why this answer
While standard reconciliation rules include Most Recent, Source Sequence, Highest Frequency, and Longest String, specific attribute survivorship needs or custom logic may require understanding standard options. If oldest date is required, consultants should note that 'Most Recent' is standard, but let's evaluate the available choices.
An organization has configured a segment that includes unified individuals with an open support case. The segment is set to publish daily. However, support agents report that customers who resolved their cases hours before the scheduled publish are still receiving targeted marketing campaigns. How should the consultant redesign this segmentation approach?
Streaming segments process changes instantly as data events occur, removing resolved cases immediately.
Why this answer
To capture near real-time changes in status like a case closing, a streaming segment should be used instead of a scheduled batch segment.
An administrator notices that after adding a new Contact Point Phone match rule to an existing identity resolution ruleset, the number of unified profiles decreased drastically. What is the underlying reason for this?
Broad match rules (like shared household phone numbers) link unrelated individuals into a single unified profile.
Why this answer
Adding a new match rule with broad criteria (such as phone numbers shared among family members) can cause previously separate clusters to bridge together, resulting in a dramatic drop in unified profile counts (over-merging).
What is required before you can create an activation in Data Cloud?
You must have a published segment and a valid activation target to create an activation.
Why this answer
An activation requires both an existing segment and a configured activation target.
An administrator is setting up an AWS S3 data stream and receives an error indicating that Salesforce Data Cloud cannot assume the IAM role provided. What is the most likely misconfiguration in AWS?
AWS IAM cross-account access requires a trust relationship allowing Salesforce's AWS principal to assume the role using the provided external ID.
Why this answer
Cross-account access between Salesforce Data Cloud and AWS S3 requires configuring an IAM role with a trust relationship (assume role policy) that specifies Salesforce's AWS account ID and external ID.
Which TWO factors influence the speed and performance of batch data stream ingestion in Data Cloud? (Choose TWO)
Complex formulas increase CPU processing overhead during ingestion.
Why this answer
Batch ingestion performance is affected by file size/number of files in cloud storage and the complexity of formula transformations or data types being parsed.
An administrator has configured a data stream from a Google Cloud Storage bucket. The stream runs successfully, but no new records appear in the Data Model Object. Upon checking, the administrator realizes the files are placed in the bucket using a nested folder structure that the connector is not parsing. How should the administrator resolve this?
Adjusting the file path and naming pattern ensures the connector correctly scans subfolders or specific file prefixes.
Why this answer
Cloud storage connectors require proper path and file pattern configurations (such as wildcard matching) to locate and ingest files within nested folders.
Which TWO file storage providers are natively supported for batch data stream ingestion in Data Cloud? (Choose TWO)
Google Cloud Storage is a fully supported native batch ingestion source.
Why this answer
Data Cloud supports native connectors for major cloud storage providers including Amazon S3, Google Cloud Storage, and Azure Blob Storage.
A consultant is reviewing activation logs in Data Cloud and notices an error indicating 'Activation Target Rate Limit Exceeded'. What is the appropriate remediation strategy?
Throttling requests and adjusting schedules prevents overwhelming the external platform's API rate limits.
Why this answer
When an activation target rate limit is exceeded, the consultant should throttle the export batch size, stagger activation schedules, or request an API rate limit increase from the target platform vendor.
An enterprise client has millions of historical records and wants to run Identity Resolution. The consultant notices that the identity resolution job is taking an excessively long time to complete. What is the recommended approach to optimize Identity Resolution performance?
Overly broad match rules create massive Cartesian products during matching, severely degrading performance.
Why this answer
Optimizing match rules, ensuring proper indexing, and avoiding overly broad fuzzy matching on high-cardinality fields can significantly improve identity resolution job performance.
Which user permission is required to create and publish activations in Data Cloud?
Users must have the appropriate permission set to manage and publish activations.
Why this answer
Managing activations requires specific Data Cloud permission set licenses with activation administration rights.
What is the primary function of the Unified Link Individual object in Salesforce Data Cloud?
Unified Link records maintain the relationship table connecting source records to the unified profile.
Why this answer
The Unified Link Individual object maps source individual records to their corresponding unified individual record.
A consultant is troubleshooting a segment where members are appearing multiple times in the activation export file. What is the most likely cause of duplicate profile entries in the activation export?
Exporting attributes from child objects with multiple records per individual without aggregation can cause duplicate rows in the export file.
Why this answer
Duplicate entries in activation exports often occur if activation enrichment attributes have a 1-to-many relationship with the profile (e.g., multiple phone numbers or orders) and the activation is configured to export all related records without deduplication or proper grain selection.
A marketing team wants to target customers who have made a purchase in the last 30 days but have not opened an email in the last 7 days. Where should the marketer build this audience criteria?
The Segmentation canvas allows users to build cross-channel audience segments using unified data.
Why this answer
Audience segments in Data Cloud are created in the Segmentation canvas using harmonized data model objects and attribute operators.
A Data Cloud Consultant is setting up a batch data stream from an AWS S3 bucket to ingest daily transaction records. During the configuration, the consultant notices that the incoming CSV files contain columns with varying headers across different days. How should the consultant configure the data stream to ensure successful ingestion without breaking the mapping?
Data streams rely on the DSO schema matching the file structure; inconsistent headers will lead to ingestion failures or unmapped fields.
Why this answer
When configuring data streams from cloud storage like AWS S3, the underlying schema must align with the Data Source Object (DSO) definition. In Data Cloud, schema drift can cause ingestion errors, so establishing a strict contract or utilizing a consistent header structure in the source file, or leveraging standard connector parsing rules, is critical. Data Cloud does not automatically remap changing column names.
A consultant is configuring a Marketing Cloud Engagement activation. The marketing team wants to personalize the message content using attributes that change frequently (e.g., current loyalty tier). How should the consultant ensure the activation includes the latest attribute values?
Frequent refreshing of data streams and activations ensures downstream messaging uses up-to-date attribute values.
Why this answer
Ensuring attributes are refreshed involves scheduling the underlying data streams and calculated insights to run frequently, and configuring the activation to publish regularly.
A consultant is creating an activation for an advertising network that requires phone numbers in E.164 format. The raw data in Data Cloud has various phone number formats. Where should the consultant address this formatting requirement?
Standardizing data upstream via Data Transforms ensures consistent formatting across all segments and activations.
Why this answer
Data cleansing, transformation, and standardization should occur upstream using Data Transforms during ingestion or via Calculated Insights before segment creation and activation.
A Data Cloud Consultant is tasked with sending real-time engagement data updates to an external webhook whenever a customer performs a high-value purchase. Which Data Cloud feature should the consultant configure to achieve this?
Correct. Data Actions are designed to stream real-time events to external endpoints like webhooks based on data model object changes.
Why this answer
Data Actions allow organizations to stream data changes out of Data Cloud in near real-time to external endpoints via webhooks or to internal Salesforce platform events.
What is the primary purpose of a master data stream in Data Cloud?
Master data streams handle non-profile reference entities such as products or locations.
Why this answer
Master data streams or master data objects help organize core reference entities like Product, Store, or Geo locations.
Which TWO statements accurately describe the role and function of Calculated Insights in Data Cloud? (Choose two.)
Calculated Insight metrics are exposed as attributes in the segmentation canvas.
Why this answer
Calculated Insights allow users to aggregate metrics using SQL or a builder, and these metrics become available as attributes in segmentation.
Which TWO actions are required when setting up an Activation Target for Marketing Cloud Engagement? (Choose two.)
OAuth credentials from an installed package are mandatory for authenticating the Marketing Cloud Engagement connection.
Why this answer
Setting up a Marketing Cloud Engagement activation target requires installing the integration package and selecting the appropriate Business Unit and credentials.
An organization wants to ingest real-time clickstream events from their mobile application into Salesforce Data Cloud. Which ingestion mechanism should the consultant recommend?
The Interaction Ingestion API is specifically built for high-throughput, low-latency streaming data ingestion like clickstreams.
Why this answer
Real-time streaming data, such as mobile app clickstreams or IoT events, should use the Interaction Ingestion API or mobile SDKs designed for streaming ingestion, rather than batch connectors.
Universal Containers wants to implement Data Cloud to unify customer data from multiple sources across Sales Cloud, Marketing Cloud Engagement, and an external legacy order management system. Which architectural component should the consultant recommend as the foundational layer to ingest and normalize this data?
Data Streams are the mechanism for ingesting data from connected sources into Data Cloud.
Why this answer
Data Streams are the foundational components used to ingest data from various sources into Data Cloud, where it can then be mapped to the Customer 360 Data Model.
An enterprise customer using Data Cloud wants to calculate the total lifetime value (LTV) of a customer using a complex SQL query that joins multiple Data Model Objects (Individual, Order__c, and Invoice__c). Which feature should the consultant use to build this metric?
Calculated Insights allow consultants to write ANSI SQL queries to calculate metrics like LTV across related data objects.
Why this answer
Calculated Insights use ANSI SQL to compute metrics, KPIs, and aggregates across multiple DMOs and DLOs within Data Cloud.
Which feature allows a Data Cloud Consultant to transform field values, such as concatenating first and last names or changing date formats, during the ingestion process without writing custom code?
Formula fields in Data Streams enable real-time transformation of fields during ingestion.
Why this answer
Formula fields in Data Streams allow consultants to apply transformations, string manipulations, and mathematical operations on incoming data during the ingestion phase.
How can a consultant verify how many profiles currently qualify for a published segment?
The segment details page displays profile counts and publication status.
Why this answer
Segment metadata, including estimated and total member counts, is visible directly on the Segment details page in Data Cloud.
A Data Cloud Consultant is configuring real-time data ingestion using the Ingestion API. Which artifact must be created and published in Data Cloud before sending payload data from an external web application?
The Inbound Streaming Data Source and Data Stream must be defined to establish the expected schema payload for the Ingestion API.
Why this answer
To use the Ingestion API, an administrator must define a mobile or web app source schema and create a connector object (Inbound Streaming Data Source).
Which tool is used to monitor the consumption of Data Cloud credits (such as ingestion, query, and storage credits)?
The Usage Dashboard in Data Cloud Setup tracks consumption metrics for storage, streaming, queries, and activations.
Why this answer
Data Cloud Usage tab in Data Cloud Setup monitors credit consumption.
Which THREE best practices should a consultant follow when troubleshooting an identity resolution implementation where unified profile counts appear unexpectedly inflated? Choose 3 options.
Omitted or unmapped matching attributes prevent records from linking, resulting in under-merging and inflated profile counts.
Why this answer
Inflated profile counts often indicate under-merging caused by missing match rules, unmapped attributes, or overly restrictive matching criteria.
An organization is ingesting high-volume transaction data via the Ingestion API. During testing, they notice that duplicate transaction IDs are being ingested as separate records into the DSO. What mechanism ensures idempotency or prevents unwanted duplicates in Data Cloud ingestion?
Defining a primary key ensures Data Cloud upserts records instead of creating duplicate entries for the same key.
Why this answer
Data Cloud ingestion relies on primary keys defined in the schema. If incoming records share the same primary key, Data Cloud performs an upsert based on the primary key to prevent duplicate records in the DSO.
When configuring match rules in Data Cloud, which match method should a consultant select to match records where the email addresses are identical after standard formatting?
Exact Email matches records where the normalized email address strings are identical.
Why this answer
Exact Email matching compares email addresses strictly after applying standard formatting and normalization.
During the data harmonization phase in Salesforce Data Cloud, a consultant notices that incoming contact records from Sales Cloud and Commerce Cloud use different field names for email addresses. Where should the consultant map these disparate source fields to a unified enterprise data model field?
The Data Stream Field Mapping canvas allows the mapping of source fields from the Data Lake Object (DLO) to standard or custom Data Model Objects (DMOs).
Why this answer
Data Streams map incoming source fields to the Data Model Object (DMO) fields during the Data Stream mapping phase in the Data Cloud setup interface.
A consultant is preparing to publish a segment to an Activation Target. Which THREE prerequisites must be verified before activation? Choose 3 options.
Attribute mappings determine which fields are included in the activation payload.
Why this answer
Successful activation requires an active target connection, mapped attributes, and a published segment.
A consultant is setting up a match rule using Party Identification. Which condition must be met for this match rule to function correctly?
Match rules in a ruleset can run in combination; Party ID does not require disabling email matching.
Why this answer
Party Identification match rules require the Party Identification DMO to be mapped with both the identification number and the identification type/name.
An enterprise ingests orders from three separate e-commerce platforms. Each platform uses a different currency (USD, EUR, GBP). To aggregate total purchase value accurately in Calculated Insights, what must the consultant do during the harmonization and modeling stage?
Mapping both amount and currency ISO code allows downstream calculations and insights to handle currency conversions properly.
Why this answer
To aggregate multi-currency values, consultants must ingest the currency ISO code along with the amount, map them to standard DMO attributes, or normalize currencies into a common base currency using conversion rates.
When designing a segment, a consultant wants to see an estimate of the audience size before publishing. Where can this estimated count be viewed?
The Segment Canvas dynamically updates and displays estimated profile counts to help practitioners validate audience size.
Why this answer
The Segment Canvas provides estimated profile counts as criteria are added and modified.
A consultant needs to create a segment that identifies customers who purchased items from both 'Electronics' and 'Apparel' categories in the same single order transaction. How should this be structured in the Segment Canvas?
Nesting criteria within the same related object container ensures all conditions must be met within the same child record or transaction.
Why this answer
To ensure conditions happen within the same related record (the same order), the consultant must place both category filters inside the same related object container (Order -> Order Item) rather than separate top-level containers.
An administrator needs to schedule a batch data stream to ingest data from Amazon S3 every 4 hours instead of daily. Where is this frequency configured?
Data stream refresh frequency (e.g., hourly, every few hours, daily) can be configured directly in the data stream settings.
Why this answer
Data stream refresh schedules are configured in the data stream properties during creation or by editing an existing stream in Data Manager / Data Streams.
Which THREE conditions or best practices apply when configuring Party Identification matching in Data Cloud? Choose 3 options.
Evaluating both ID number and ID type ensures that matching numbers from different systems (e.g., loyalty vs. employee ID) do not falsely collide.
Why this answer
Party Identification matching requires mapping the Party Identification DMO, comparing both ID number and ID type, and ensuring data sources populate the identifier consistently.
Where in the Data Cloud setup interface should a consultant navigate to create and manage segment definitions?
The Segments tab is the dedicated workspace for creating, editing, and publishing segments.
Why this answer
In Salesforce Data Cloud, segments are managed in the Segment tab/section of the application.
Which license type must be provisioned in Salesforce to enable the use of Data Cloud features?
Data Cloud requires a foundational tenant license provisioning, followed by assigning permission set licenses to individual users.
Why this answer
Data Cloud requires specific tenant provisioning and base licenses before any users can access the platform.
A consultant needs to design a Calculated Insight that evaluates customer churn risk based on purchase frequency and support ticket volume. Which THREE best practices should the consultant apply? Choose 3 options.
Incremental processing and efficient queries prevent timeout and performance issues.
Why this answer
Designing robust Calculated Insights involves proper metric definitions, efficient SQL writing, and appropriate object selection.
Which of the following describes the 'Cloud Information Model' (CIM) in Data Cloud?
It provides the structure for data ingestion and mapping.
Why this answer
The CIM is the standardized object schema that allows Data Cloud to interpret and relate data from various sources consistently.
What does a reconciliation rule govern in a Salesforce Data Cloud Identity Resolution ruleset?
Reconciliation rules manage survivorship of profile attributes.
Why this answer
Reconciliation rules determine how attribute values from multiple matched source records are populated onto the unified profile.
A Data Cloud Consultant is designing an integration where external clickstream events must be ingested into Data Cloud with sub-second latency. Which ingestion method is architecturally designed for this use case?
The Ingestion API is designed for real-time streaming ingestion of event data from external systems.
Why this answer
The Ingestion API allows developers to stream event data into Data Cloud in real time with low latency.
A multinational company needs segments to evaluate rules based on local time zones rather than UTC. How should the consultant configure date-based segment criteria to account for time zone differences?
Calculated insights or relative filters help manage time zone discrepancies in date-based segments.
Why this answer
When evaluating date/time attributes in segments, understanding how Data Cloud stores timestamps in UTC and configuring appropriate relative date filters is crucial.
When designing Calculated Insights that involve date/time functions, which THREE practices ensure accurate metric generation in Data Cloud? (Choose three.)
Queries must reference valid date/time fields present in the source DMOs.
Why this answer
Date/time handling in Calculated Insights requires proper ANSI SQL date functions, correct timezone considerations, and valid timestamp fields.
A consultant wants to schedule a segment to refresh and publish automatically every day at 2:00 AM. Where is this schedule configured?
Segment publishing schedules are managed directly on the segment configuration page.
Why this answer
Segment refresh schedules are configured directly within the Segment details and publishing settings upon creation or by editing an existing segment.
What happens to an active segment when the underlying Data Model Object schema is modified by removing a field used in the segment criteria?
Removing a dependency causes validation errors or runtime failures in segment execution.
Why this answer
If a field used in a segment rule is removed or broken in the DMO schema, the segment validation will fail or the segment will error upon refresh.
An organization runs daily batch segments that take several hours to compute. To improve performance, the consultant decides to optimize the underlying data model relationships. Which practice should the consultant follow?
Correct cardinality and clean foreign keys prevent expensive cartesian products during segmentation joins.
Why this answer
Optimizing relationships involves ensuring proper cardinalities and foreign key indexes are maintained between custom DMOs and standard profile DMOs.
An organization experiences performance degradation and timeout errors whenever their scheduled Identity Resolution ruleset executes. Upon reviewing the setup, the consultant finds that the ruleset contains five broad fuzzy match rules running against 50 million records without any pre-filtering. What is the recommended architectural remedy?
Hierarchical match rule design reduces the massive computational overhead caused by executing multiple broad fuzzy rules concurrently.
Why this answer
Reducing unnecessary broad fuzzy rules and structuring match rules hierarchically (from exact high-confidence matches to broader fuzzy matches) optimizes performance.
Which TWO statements are true regarding Activation Membership rules in Data Cloud? (Choose two.)
Segments re-evaluate members during each publish cycle, updating activation membership accordingly.
Why this answer
Activation memberships define how profiles qualify and exit segments during publishing cycles.
Which TWO benefits does a Data Cloud Consultant gain by using Activation Targets? (Choose two.)
A single activation target can be used by numerous different segments.
Why this answer
Activation targets provide centralized credential management and reusable destination configurations for multiple segments.
A consultant maps a custom Data Source Object (DSO) field to a standard Individual Data Model Object (DMO) field in Data Cloud. After refreshing the data stream, the identity resolution rules are not picking up the new records. What is the likely cause?
Identity resolution rulesets run on a schedule or can be triggered manually; new mappings do not instantly re-evaluate existing rulesets without a run.
Why this answer
Identity Resolution Rules in Data Cloud rely on specific reconciliation rules and match rules that must include the mapped fields (e.g., email or phone). If the mapping is incorrect or the fields used in the match rules are unpopulated, identity resolution will fail to link them.
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