New 2026 Latest Questions Salesforce-Data-Cloud Dumps - Use Updated Salesforce Exam
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NEW QUESTION # 74
Which two dependencies prevent a data stream from being deleted?
Choose 2 answers
- A. The underlying data lake object is used in a data transform.
- B. The underlying data lake object is used in activation.
- C. The underlying data lake object is mapped to a data model object.
- D. The underlying data lake object is used in segmentation.
Answer: A,C
Explanation:
To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes. The following two dependencies prevent a data stream from being deleted1:
Data transform: This is a process that transforms the ingested data into a standardized format and structure for the data model. A data transform can use one or more DLOs as input or output. If a DLO is used in a data transform, it cannot be deleted until the data transform is removed or modified2.
Data model object: This is an object that represents a type of entity or relationship in the data model. A data model object can be mapped to one or more DLOs to define its attributes and values. If a DLO is mapped to a data model object, it cannot be deleted until the mapping is removed or changed3.
1: Delete a Data Stream article on Salesforce Help
2: [Data Transforms in Data Cloud] unit on Trailhead
3: [Data Model in Data Cloud] unit on Trailhead
NEW QUESTION # 75
Which three Data Model objects do Reconciliation Rules operate across?
- A. Lead
- B. Individual
- C. Party Identification
- D. Contact Point Email
- E. Contact
Answer: B,C,D
Explanation:
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address. Reference: Identity Resolution Reconciliation Rules
NEW QUESTION # 76
What does the Source Sequence reconciliation rule do in identity resolution?
- A. Sets the priority of specific data sources when building attributes in a unified profile, such as afirst or last name
- B. Identifies which data sources should be used in the process of reconcillation by prioritizing themost recently updated data source
- C. Identifies which individual records should be merged into a unified profile by setting a priority forspecific data sources
- D. Includes data from sources where the data is most frequently occurring
Answer: A
Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules
NEW QUESTION # 77
Which three Data Model objects do Reconciliation Rules operate across?
- A. Lead
- B. Individual
- C. Party Identification
- D. Contact Point Email
- E. Contact
Answer: B,C,D
Explanation:
Explanation
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address.
References: Identity Resolution Reconciliation Rules
NEW QUESTION # 78
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?
- A. Delete the data from the incoming data stream and perform a full refresh
- B. Use Data Explorer to locate and manually remove the Individual
- C. Add the Individual Id to a headerless file and use the delete from file functionality
- D. Use the Consent API to suppress processing and delete the individual and related records from source data streams
Answer: C,D
Explanation:
Explanation
These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5https://help.salesfo
NEW QUESTION # 79
How does Data Cloud handle an individual's right to be forgotten?
- A. Deletes the specified Individual and records from any DMO/DLO related to the Individual.
- B. Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.
- C. Deletes the specified Individual record and its Unified Individual Link record.
- D. Deletes the specified Individual and records from any DSO mapped to the Individual DMO.
Answer: D
Explanation:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5
NEW QUESTION # 80
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?
- A. Leverage Reconciliation Rules
- B. Leverage Match Rules
- C. Create additional Rule Sets
- D. Create additional Contact Points
Answer: A
Explanation:
Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value. Reference: Identity Resolution Reconciliation Rules
NEW QUESTION # 81
A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.
How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?
- A. Place an attribute for the "black" calculated insight to dynamically apply
- B. Place the attribute for product color in one container and the attribute for product type in another container.
- C. Place the attributes for product and product type as direct attributes.
- D. Place the attributes for product color and product type in a single container.
Answer: D
Explanation:
To create a segment based on the product color and product type from the Order Product object, the consultant should place the attributes for product color and product type in a single container. This way, the segment will include only the customers who have purchased black pants, and not those who have purchased black shirts or blue pants. A container is a grouping of attributes that defines a segment of individuals based on a logical AND operation. Placing the attributes in separate containers would result in a segment that includes customers who have purchased any black product or any pants product, which is not the desired criteria. Placing an attribute for the "black" calculated insight would not work, because calculated insights are based on aggregated data and not individual-level data. Placing the attributes as direct attributes would not work, because direct attributes are used to filter individuals based on their profile data, not their order data. References:
Create a Segment in Data Cloud
Learn About Segmentation Tools
Salesforce Launches: Data Cloud Consultant Certification
NEW QUESTION # 82
The leadership team at Cumulus Financial has declared that customers who have deposited more than
$250,000 in the last 5 years and who are not using advisory services, will be the central focus for all new campaigns in the next year. Which two features support this need?
- A. Dashboard
- B. Report|
- C. Calculated Insight
- D. Segment
Answer: C,D
Explanation:
Explanation
These two features support the need to calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5https://help.salesforce.co
NEW QUESTION # 83
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?
- A. The Salesforce Integration User Is missing Rad permissions on the newly created field.
- B. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
- C. Custom fields on the Case object are not supported for ingesting into Data Cloud.
- D. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.
Answer: A
Explanation:
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams
NEW QUESTION # 84
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
- A. Calculated Insight > Identity Resolution > Refresh Data Stream
- B. Refresh Data Stream > Identity Resolution > Calculated Insight
- C. Refresh Data Stream > Calculated Insight > Identity Resolution
- D. Identity Resolution > Calculated Insight > Refresh Data Stream
Answer: B
Explanation:
The recommended order of processes for updating data in Data Cloud is as follows6:
Refresh Data Stream: This process updates the data from the source, such as Amazon S3, into Data Cloud.
Identity Resolution: This process runs the rulesets that link together multiple records of an individual into a unified profile.
Calculated Insight: This process calculates additional attributes based on existing data, such as lifetime value or churn risk.
NEW QUESTION # 85
A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.
Which two areas should the consultant review to help troubleshoot this issue?
Choose 2 answers
- A. The activated profiles have a Unified Contact Point.
- B. The activations are referencing segments that segment on profile data rather than engagement data.
- C. The correct path is selected for the related attributes.
- D. The related engagement events occurred within the last 90 days.
Answer: C,D
Explanation:
Engagement-based related attributes are attributes that describe the interactions of a person with an email message, such as opens, clicks, unsubscribes, etc. These attributes are stored in the Engagement data model object (DMO) and can be added to an activation to send more personalized communications. However, there are some considerations and limitations when using engagement-based related attributes, such as:
For engagement data, activation supports a 90-day lookback window. This means that only the attributes from the engagement events that occurred within the last 90 days are considered for activation. Any records outside of this window are not included in the activation payload. Therefore, the consultant should review the event time of the related engagement events and make sure they are within the lookback window.
The correct path to the related attributes must be selected for the activation. A path is a sequence of DMOs that are connected by relationships in the data model. For example, the path from Individual to Engagement is Individual -> Email -> Engagement. The path determines which related attributes are available for activation and how they are filtered. Therefore, the consultant should review the path selection and make sure it matches the desired related attributes and filters.
The other two options are not relevant for this issue. The activations can reference segments that segment on profile data rather than engagement data, as long as the activation target supports related attributes. The activated profiles do not need to have a Unified Contact Point, which is a unique identifier for a person across different data sources, to activate engagement-based related attributes. References: Add Related Attributes to an Activation, Related Attributes in Data Cloud activation have no values, Explore the Engagement Data Model Object
NEW QUESTION # 86
A consultant at Northern Trail Outfitters is implementing Data Cloud and creating an activation target for their segment.
For activation membership, which object should the consultant choose?
- A. Data Activation Object
- B. Data Lake Object
- C. Data Segmentation Object
- D. Data Model Object
Answer: C
Explanation:
In Salesforce Data Cloud, activation membership refers to the individuals or records that qualify for a specific segment and are eligible to be activated (e.g., sent to external systems like Marketing Cloud). Here's the breakdown:
Data Segmentation Object (Option C):
Segments in Data Cloud are stored as Data Segmentation Objects, which include metadata about the segment (e.g., logic, filters) and its membership (the records/individuals that meet the criteria).
When configuring an activation target, you select the segment (and its membership) stored in the Data Segmentation Object to send to downstream systems.
Salesforce's official documentation confirms that segments and their memberships are managed through the Data Segmentation Object (Source: Salesforce Data Cloud Implementation Guide, "Segmentation and Activation").
Why Other Options Are Incorrect:
Data Model Object (A): Represents the structured data model (e.g., standard or custom objects like Individual or Account) but does not store segment membership.
Data Activation Object (B): A distractor; no such standard object exists in Data Cloud. Activation is a process that uses the Data Segmentation Object.
Data Lake Object (D): Stores raw, unprocessed data ingested into Data Cloud and is not directly used for activation.
Conclusion: For activation membership, the consultant must select the Data Segmentation Object to reference the segment's qualified members.
NEW QUESTION # 87
Which configuration can support separate Amazon S3 buckets for data ingestion and activation?
- A. Dedicated S3 data sources in activation setup
- B. Separate user credentials for data stream and activation target
- C. Separate user credentials for data stream and activation
- D. Dedicated S3 data sources in Data Cloud setup
Answer: D
NEW QUESTION # 88
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
- A. Amazon S3
- B. Marketing Cloud Engagement
- C. B2C Commerce
- D. Personalization powered by Interaction Studio
Answer: C,D
Explanation:
These two applications automatically create activation targets when they are connected to Data Cloud. You can use these targets to activate segments or calculated insights to these applications. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type=5
NEW QUESTION # 89
Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).
What should the consultant consider before deleting the data stream?
- A. The underlying DLO cannot be mapped to a data model object.
- B. The underlying DLO can be used in a data transform.
- C. The data stream can be deleted without implicitly deleting the underlying DLO.
- D. The data stream must be associated with a data kit.
Answer: B
Explanation:
Data Streams and DLOs: In Salesforce Data Cloud, data streams are used to ingest data, which is then stored in Data Lake Objects (DLOs).
Deletion Considerations: Before deleting a data stream, it's crucial to consider the dependencies and usage of the underlying DLO.
Data Transform Usage:
Impact of Deletion: If the underlying DLO is used in a data transform, deleting the data stream will affect any transforms relying on that DLO.
Dependency Check: Ensure that the DLO is not part of any active data transformations or processes that could be disrupted by its deletion.
References:
Salesforce Data Cloud Documentation: Data Streams
Salesforce Data Cloud Documentation: Data Transforms
NEW QUESTION # 90
What is the maximum limit of the number of records for Full Refresh Extract Method?
- A. No hard limit
- B. 10 million
- C. 50 million
- D. 40 million
Answer: B
Explanation:
The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. Reference: Extract Methods
NEW QUESTION # 91
A segment fails to refresh with the error "Segment references too many data lake objects (DLOS)".
Which two troubleshooting tips should help remedy this issue?
Choose 2 answers
- A. Split the segment into smaller segments.
- B. Use calculated insights in order to reduce the complexity of the segmentation query.
- C. Refine segmentation criteria to limit up to five custom data model objects (DMOs).
- D. Space out the segment schedules to reduce DLO load.
Answer: A,B
Explanation:
The error "Segment references too many data lake objects (DLOs)" occurs when a segment query exceeds the limit of 50 DLOs that can be referenced in a single query. This can happen when the segment has too many filters, nested segments, or exclusion criteria that involve different DLOs. To remedy this issue, the consultant can try the following troubleshooting tips:
Split the segment into smaller segments. The consultant can divide the segment into multiple segments that have fewer filters, nested segments, or exclusion criteria. This can reduce the number of DLOs that are referenced in each segment query and avoid the error. The consultant can then use the smaller segments as nested segments in a larger segment, or activate them separately.
Use calculated insights in order to reduce the complexity of the segmentation query. The consultant can create calculated insights that are derived from existing data using formulas. Calculated insights can simplify the segmentation query by replacing multiple filters or nested segments with a single attribute. For example, instead of using multiple filters to segment individuals based on their purchase history, the consultant can create a calculated insight that calculates the lifetime value of each individual and use that as a filter.
The other options are not troubleshooting tips that can help remedy this issue. Refining segmentation criteria to limit up to five custom data model objects (DMOs) is not a valid option, as the limit of 50 DLOs applies to both standard and custom DMOs. Spacing out the segment schedules to reduce DLO load is not a valid option, as the error is not related to the DLO load, but to the segment query complexity.
Troubleshoot Segment Errors
Create a Calculated Insight
Create a Segment in Data Cloud
NEW QUESTION # 92
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