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| Section | Weight | Objectives |
|---|---|---|
| Identity Resolution and Harmonization | 14% | - Identity graphs and data unification - Reconciliation and result analysis - Matching rules (deterministic / probabilistic) |
| Segmentation and Insights | 18% | - Calculated vs streaming insights - AI-powered insights and analysis - Segment creation, configuration, and maintenance |
| Data Ingestion and Modeling | 20% | - Customer 360 data model and schema design - Ingestion methods, connectors, and transformation - Data mapping, validation, and quality best practices |
| Act on Data / Activation | 18% | - Activation types and use cases - Data actions and integration with Salesforce products - Troubleshooting activation issues and dependencies |
| Setup and Administration | 13% | - Data streams, data spaces, and governance - Permissions, settings, and security configuration - Monitoring, reporting, and tools (Data Explorer, APIs) |
| Solution Positioning / Overview | 14% | - Data 360 / Data Cloud terminology and business value - Common use cases and data ethics principles - Role in AI and predictive capabilities |
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NEW QUESTION # 104
A Data 360 Consultant wants to grant a user in Data 360 the ability to view and create segments and activations, but not allow them to modify data model mappings or identity resolution rules. Following the principle of least privilege, which standard permission set should the consultant assign to them?
Answer: A
Explanation:
The least-privilege requirement is to allow segmentation and activation work without granting authority to redesign mappings or identity resolution. Salesforce's standard permission-set documentation describes the Activation Specialist role as appropriate for users who create segments, while broader activation capabilities are available without administrator-level configuration access. Data model and identity-resolution functions are not granted as unrestricted design capabilities to this role. That makes A the best fit among the listed choices. Data 360 Architect would be excessive because it provides substantially broader configuration authority. Activation Manager is intended for managing the overall activation strategy and targets, which is more privilege than this scenario requires. Data 360 User is more restricted and does not match the stated segment-and-activation creation responsibilities.
NEW QUESTION # 105
A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?
Answer: A
Explanation:
Explanation
The consolidation rate is the amount by which source profiles are combined to produce unified profiles, calculated as 1 - (number of unified individuals / number of source individuals). For example, if you ingest
100 source records and create 80 unified profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules. Match rules define the criteria for matching source profiles based on their attributes.
By increasing the number of match rules, you can increase the chances of finding matches between source profiles and thus increase the consolidation rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing the number of match rules can decrease the consolidation rate, as they can either reduce the number of matches or increase the number of unified profiles. References: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets
NEW QUESTION # 106
A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.
How should a consultant ingest and map this data in Data Cloud?
Answer: D
NEW QUESTION # 107
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?
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 # 108
Northern Trail Outfitters uploads new customer data to an Amazon S3 bucket on a daily basis to be ingested in Data 360. Based on this, a calculated insight is created that shows the total spend per customer in the last
30 days. In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?
Answer: C
Explanation:
The design point is to preserve source fidelity while shaping data only where Data 360 processing needs it.
Here, Refresh Data Stream > Identity Resolution > Calculated Insight fits because it changes the shape, keying, or refresh behavior at the Data 360 layer instead of forcing the source system to carry an analytics- specific design. In production, this keeps the upstream application simpler and gives the data team a repeatable way to prepare records for mapping, identity resolution, insights, or segmentation. 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.
NEW QUESTION # 109
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