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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 |
| Exam Price: | USD $200 + applicable taxes |
| Real Exam Qty: | 60 (plus up to 5 unscored questions) |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified Marketing Cloud Consultant Salesforce Certified Administrator Salesforce Certified Data Architect |
| Passing Score: | 62% - 70% |
| Exam Format: | Scenario-based questions, Multiple-select, Multiple-choice |
| 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 |
>> Certification Data-Cloud-Consultant Cost <<
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NEW QUESTION # 39
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?
Answer: D
Explanation:
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
NEW QUESTION # 40
A Data 360 Consultant created a calculated insight that can be seen when ' Segmenting On ' Individuals on the segmentation canvas but not Unified Individual. What is the reason for this?
Answer: B
Explanation:
The identity logic is about linking source profiles safely, then choosing the best surviving values for the unified profile. The calculated insight is missing a relationship to the Unified Individual data model object (DMO). is appropriate because identity resolution needs reliable match inputs, qualified identifiers, and controlled reconciliation. It is not just deduplication; it is a rules-driven process that connects source records into a trusted unified profile. 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 # 41
A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standardIndividual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?
Answer: A
Explanation:
Explanation
The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
* 1: Data Model Objects in Data Cloud
NEW QUESTION # 42
Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?
Answer: C
Explanation:
Explanation
Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates. In this case, the consultant can use metrics on metrics to calculate the LTV of each customer by summing up the revenue generated by them across different channels. The consultant can also create breakdowns of the revenue by channel by using the channel attribute as a dimension in the metric definition. References: Metrics on Metrics, Create Metrics on Metrics
NEW QUESTION # 43
A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?
Answer: A
Explanation:
The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
* 1: Data Model Objects in Data Cloud
NEW QUESTION # 44
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