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| Section | Objectives |
|---|---|
| Topic 1: Segmentation and Activation | - Segment creation and audience building - Data activation to Salesforce and external systems |
| Topic 2: Security and Data Governance | - Data access control and permissions - Compliance and data privacy considerations |
| Topic 3: Data Cloud Fundamentals | - Salesforce Data Cloud architecture overview - Core concepts of unified customer data |
| Topic 4: Identity Resolution | - Identity stitching and matching rules - Profile unification and resolution strategies |
| Topic 5: Data Ingestion and Modeling | - Data model objects and schema design - Data ingestion methods and connectors |
| Topic 6: Insights and Analytics | - Calculated insights and metrics - Reporting and data analysis use cases |
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38. Frage
Which statement is true related to batch ingestions from Salesforce CRM?
Antwort: B
Begründung:
The question asks which statement is true about batch ingestions from Salesforce CRM into Salesforce Data Cloud. Batch ingestion refers to the process of periodically syncing data from Salesforce CRM (e.g., Accounts, Contacts, Opportunities) into Data Cloud. The focus is on how the CRM connector handles changes in data structure (e.g., adding or removing columns) and synchronization behavior.
Why A is Correct: "When a column is added or removed, the CRM connector performs a full refresh." Behavior of the CRM Connector :
The Salesforce CRM connector automatically detects schema changes, such as when a field (column) is added or removed in the source CRM object.
When such changes occur, the CRM connector triggers a full refresh of the data for that object. This ensures that the data model in Data Cloud aligns with the updated schema in Salesforce CRM.
Why a Full Refresh is Necessary :
A full refresh ensures that all records are re-ingested with the updated schema, avoiding inconsistencies or missing data caused by incremental updates.
Incremental updates only capture changes (e.g., new or modified records), so they cannot handle schema changes effectively.
Other Options Are Incorrect :
B). The CRM connector performs an incremental refresh when 600K or more deletion records are detected :
This is incorrect because the CRM connector does not switch to incremental refresh based on the number of deletion records. It always performs incremental updates unless a schema change triggers a full refresh.
C). The CRM connector's synchronization times can be customized to up to 15-minute intervals : While synchronization schedules can be customized, the minimum interval is typically 1 hour , not 15 minutes.
D). CRM data cannot be manually refreshed and must wait for the next scheduled synchronization : This is incorrect because users can manually trigger a refresh of CRM data in Data Cloud if needed.
Steps to Understand CRM Connector Behavior
Step 1: Schema Changes Trigger Full Refresh
If a field is added or removed in Salesforce CRM, the CRM connector detects this change and initiates a full refresh of the corresponding object in Data Cloud.
Step 2: Incremental Updates for Regular Syncs
For regular synchronization, the CRM connector performs incremental updates, capturing only new or modified records since the last sync.
Step 3: Manual Refresh Option
Users can manually trigger a refresh in Data Cloud if immediate synchronization is required, bypassing the scheduled sync.
Step 4: Monitor Synchronization Logs
Use the Data Cloud Monitoring tools to track synchronization status, including full refreshes and incremental updates.
Conclusion
The statement "When a column is added or removed, the CRM connector performs a full refresh" is true. This behavior ensures that the data model in Data Cloud remains consistent with the schema in Salesforce CRM, avoiding potential data integrity issues.
39. Frage
Which data model subject area defines the revenue or quantity for an opportunity by product family?
Antwort: C
Begründung:
The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method. The Sales Order subject area also allows you to track the revenue or quantity for an opportunity by product family, which is a grouping of products that share common characteristics or features.
For example, you can use the Sales Order Line Item DMO to associate each product in an order with its product family, and then use the Sales Order Revenue DMO to calculate the total revenue or quantity for each product family in an opportunity. References: Sales Order Subject Area, Sales Order Revenue DMO Reference
40. Frage
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers
Antwort: B,D
Begründung:
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
Delete Individuals from Data Cloud
Requesting Data Deletion or Right to Be Forgotten
Data Refresh for Data Cloud
[Data Explorer]
41. Frage
A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?
Antwort: D
Begründung:
To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. References: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles
42. Frage
A company is seeking advice from a consultant on how to address the challenge of having multiple leads and contacts in Salesforce that share the same email address. The consultant wants to provide a detailed and comprehensive explanation on how Data Cloud can be leveraged to effectively solve this issue.
What should the consultant highlight to address this company's business challenge?
Antwort: D
Begründung:
Issue Overview: When multiple leads and contacts share the same email address in Salesforce, it can lead to data duplication, inaccurate customer views, and inefficient marketing and sales efforts.
Data Cloud Identity Resolution: Salesforce Data Cloud offers Identity Resolution as a powerful tool to address this issue. It helps in merging and unifying data from multiple sources to create a single, comprehensive customer profile.
Process:
Data Ingestion: Import lead and contact data into Salesforce Data Cloud.
Identity Resolution Rules: Configure Identity Resolution rules to match and merge records based on key identifiers like email addresses.
Unification: The tool consolidates records that share the same email address, eliminating duplicates and ensuring a single view of each customer.
Continuous Updates: As new data comes in, Identity Resolution continuously updates and maintains the unified profiles.
Benefits:
Accurate Customer View: Reduces duplicate records and provides a complete view of each customer's interactions and history.
Improved Efficiency: Streamlines marketing and sales efforts by targeting a unified customer profile.
References:
Salesforce Data Cloud Identity Resolution
Salesforce Help: Identity Resolution Overview
43. Frage
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P.S. Kostenlose 2026 Salesforce Data-Con-101 Prüfungsfragen sind auf Google Drive freigegeben von ZertPruefung verfügbar: https://drive.google.com/open?id=1rqKu6bvRPUlT-VdWgDKLNcx9C-OLw3P0