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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data 360 Consultant (formerly Salesforce Certified Data Cloud Consultant) |
| Exam Number: | Data-Con-101 / Data-Cloud-Consultant |
| Available Languages: | English |
| Passing Score: | 62% - 70% |
| Exam Price: | USD $200 + applicable taxes |
| Real Exam Qty: | 60 (plus up to 5 unscored questions) |
| Exam Format: | Multiple-choice, Scenario-based questions, Multiple-select |
| Related Certifications: | Salesforce Certified Marketing Cloud Consultant Salesforce Certified Administrator Salesforce Certified Data Architect |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 105 minutes |
| Recommended Training: | Salesforce Trailhead - Data 360 / Data Cloud Learning Path |
| Exam Registration: | Salesforce Webassessor Registration |
| Sample Questions: | Salesforce Data-Cloud-Consultant Sample Questions |
| Exam Way: | Online proctored or onsite at authorized testing centers |
| Pre Condition: | No mandatory prerequisites; recommended: 1โ2 years experience in data management, Salesforce implementation, or CDP solutions |
| Official Syllabus URL: | https://help.salesforce.com/s/articleView?id=005298940&language=en_US |
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NEW QUESTION # 94
Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?
Answer: C
Explanation:
Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns.
Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used.
File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign.
Process:
* Define the segment criteria in Salesforce Data Cloud.
* Create a new file storage activation target.
* Activate the segment to this target, which generates a downloadable file containing the segment membership details.
References:
* Salesforce Data Cloud Documentation: Segmentation
* Salesforce Data Cloud Activation
NEW QUESTION # 95
What is a key requirement for a flow to be able to act on Data 360 data in near real time using a data action?
Answer: B
Explanation:
The operational requirement is to move Data 360 context into the CRM process at the right latency and without unnecessary replication. The data action must be mapped to a platform event that the flow is subscribed to. meets the operational need because Data 360 can surface context or trigger action in Salesforce without forcing every engagement, score, or profile attribute to be copied into custom CRM objects. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.
NEW QUESTION # 96
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
Answer: C
Explanation:
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions
NEW QUESTION # 97
How does Data Cloud handle an individual's Right to be Forgotten?
Answer: D
Explanation:
Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual and records from any data model object/data lake object related to the Individual. This means that Data Cloud removes all the data associated with the individual from the data space, including the data from the source objects, the unified individual profile, and any related objects. Data Cloud also deletes the Unified Individual Link record that links the individual to the source records. Data Cloud uses the Consent API to process the Right to be Forgotten requests, which are reprocessed at 30, 60, and 90 days to ensure a full deletion.
The other options are not correct descriptions of how Data Cloud handles an individual's Right to be Forgotten. Data Cloud does not delete the records from all data source objects, as this would affect the data integrity and availability of the source systems. Data Cloud also does not delete only the specified Individual record and its Unified Individual Link record, as this would leave the source records and the related records intact. Data Cloud also does not delete only the specified Individual and records from any data source object mapped to the Individual data model object, as this would leave the related records intact.
Reference:
Requesting Data Deletion or Right to Be Forgotten
Data Deletion for Data Cloud
Use the Consent API with Data Cloud
Data and Identity in Data Cloud
NEW QUESTION # 98
Which information is provided in a .csv file when activating to Amazon S3?
Answer: A
Explanation:
Explanation
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to theactivation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]
NEW QUESTION # 99
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