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| Section | Weight | Objectives |
|---|---|---|
| Solution Positioning / Overview | 14% | - Role in AI and predictive capabilities - Common use cases and data ethics principles - Data 360 / Data Cloud terminology and business value |
| Act on Data / Activation | 18% | - Activation types and use cases - Troubleshooting activation issues and dependencies - Data actions and integration with Salesforce products |
| Identity Resolution and Harmonization | 14% | - Matching rules (deterministic / probabilistic) - Identity graphs and data unification - Reconciliation and result analysis |
| Data Ingestion and Modeling | 20% | - Customer 360 data model and schema design - Data mapping, validation, and quality best practices - Ingestion methods, connectors, and transformation |
| Segmentation and Insights | 18% | - Segment creation, configuration, and maintenance - Calculated vs streaming insights - AI-powered insights and analysis |
| Setup and Administration | 13% | - Data streams, data spaces, and governance - Monitoring, reporting, and tools (Data Explorer, APIs) - Permissions, settings, and security configuration |
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NEW QUESTION # 25
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
Answer: A,B
NEW QUESTION # 26
Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers
Answer: B,C
NEW QUESTION # 27
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?
Answer: C
NEW QUESTION # 28
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers
Answer: A,B
Explanation:
The consolidation rate is a metric that measures the amount by which source profiles are combined to produce unified profiles in Data Cloud, calculated as 1 - (number of unified profiles / number of source profiles). A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created. There are two likely explanations for why the consolidation rate has recently increased for a customer:
* New data sources have been added to Data Cloud that largely overlap with the existing profiles. This
* means that the new data sources contain many profiles that are similar or identical to the profiles from the existing data sources. For example, if a customer adds a new CRM system that has the same customer records as their old CRM system, the new data source will overlap with the existing one.
When Data Cloud ingests the new data source, it will use the identity resolution ruleset to match and merge the overlapping profiles into unified profiles, resulting in a higher consolidation rate.
* Identity resolution rules have been added to the ruleset to increase the number of matched profiles. This means that the customer has modified their identity resolution ruleset to include more match rules or more match criteria that can identify more profiles as belonging to the same individual. For example, if a customer adds a match rule that matches profiles based on email address and phone number, instead of just email address, the ruleset will be able to match more profiles that have the same email address and phone number, resulting in a higher consolidation rate.
References: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Configure Identity Resolution Rulesets
NEW QUESTION # 29
Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use. What should the Data 360 Consultant recommend to ensure this consistency when the team creates future, more refined segments?
Answer: C
Explanation:
The segmentation and activation design starts with grain: who or what the audience represents, and which attributes must travel with it. Create new segments using nested segments. works because Data 360 segmentation and activation must respect audience grain, relationship paths, and activation payload rules. A segment can qualify the audience, but activation determines which related attributes or contact points are actually sent downstream. 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 # 30
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