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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion and Modeling | 20% | - Transformation and data mapping capabilities - Ingestion from various source systems - Validation and inspection of ingested data - Data modeling best practices aligned with identity resolution |
| Topic 2: Segmentation and Insights | 18% | - Segment creation, maintenance, and membership analysis - Segmentation concepts and business scenarios - Calculated vs. streaming insights |
| Topic 3: Act on Data | 18% | - Attributes, related attributes, and timing dependencies - Data actions and requirements - Troubleshooting activation issues - Activation concepts and use cases |
| Topic 4: Identity Resolution | 14% | - Unified identity outcomes and use cases - Matching rules and application - Reconciliation rules and data unification |
| Topic 5: Data Cloud Setup and Administration | 12% | - Data streams, data bundles, and data spaces - Administration tools: reports, dashboards, flows, packaging - Permissions, permission sets, and org settings - Data exploration and diagnostics: Explorer tools, APIs |
| Topic 6: Data Cloud Overview | 18% | - Common enterprise use cases - Data ethics and responsible usage principles - Core functions, terminology, and business value - Architecture, dependencies, and lifecycle |
Data-Con-101 is passed with 62%, and the official exam fee is USD 200 (+ applicable taxes). Fixing these numbers early helps you set a measurable practice target.
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Trailhead: Data Cloud Fundamentals (SDC101): Visit official page
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The package includes 170 practice questions for the Data-Con-101 exam. The count is set through analysis of a large volume of data, so the set matches the scope of the real test without padding.
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No mandatory prerequisites; recommended 2+ years experience in data strategy, modeling, and Salesforce implementation
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?
Correct Answer: A 🗳️
A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real- time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?
Correct Answer: B 🗳️
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A consultant is preparing to implement Data Cloud.
Which ethic should the consultant adhere to regarding customer data?
Correct Answer: D 🗳️
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Which data model subject area defines the revenue or quantity for an opportunity by product family?
Correct Answer: A 🗳️
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A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice.
Which identity resolution strategy should the consultant put in place?
Correct Answer: A 🗳️
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