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Data360Create a comprehensive study set for the current Salesforce Certified Data 360 Consultant exam, aligned to the Spring ’26 exam blueprint. I am preparing to take the actual certification exam, so prioritize realistic scenario-based multiple-choice questions, not simple vocabulary flashcards. Cover the exam domains according to their official weighting: Data Activations and Utilization — 20% Segmentation concepts and use cases, segment management, publishing activations, acting on Data 360 data, and using Data 360 with Salesforce Flow. Data Source Connection and Ingestion — 18% Data streams, ingestion methods, batch vs near-real-time/streaming, transformations, connectors, ingestion APIs, Zero Copy, data collaboration, and choosing the correct ingestion architecture. Data Enhancements, Sharing, and Analysis — 18% Calculated insights, streaming insights, Data Graphs, reporting and dashboards, sharing Data 360 data with other systems, predictive AI, generative AI, Einstein/Agentforce use cases, and selecting the appropriate analytics or enrichment capability. Harmonization and Unification — 17% DLOs vs DMOs, data modeling, mappings, Customer 360 Data Model, identity resolution, match rules, reconciliation rules, unified profiles, individual/contact point relationships, and troubleshooting unification scenarios. Solution Positioning — 14% Data 360 terminology, architecture, business value, common customer use cases, Data 360 vs traditional data platforms, Data 360's role in predictive and generative AI, data ethics, privacy, consent, governance, and choosing appropriate solutions for business requirements. Data 360 Setup and Administration — 13% Permissions and permission sets, organization settings, governance configuration, development lifecycle, sandboxes/deployment, troubleshooting, monitoring, usage/consumption, and administrative best practices. Create at least 150 study questions. Make approximately 70% scenario-based multiple-choice questions similar in style and difficulty to Salesforce certification exams. Include questions where two answers appear reasonable but one is the Salesforce-recommended solution. Use a mixture of: • single-answer multiple choice • multiple-select questions clearly labeled “Choose 2” or “Choose 3” • short concept-recall cards for terminology that genuinely needs memorization For every question provide: Question Answer choices Correct answer Why it is correct Why the other answers are wrong Exam clue / wording to watch for Heavily test distinctions that candidates commonly confuse, including: Data Stream vs DLO vs DMO Identity Resolution vs Data Mapping Match rules vs reconciliation rules Calculated Insights vs Streaming Insights Batch vs streaming/real-time ingestion Zero Copy vs copying data into Data 360 Segmentation vs Activation Data Actions vs Activation Targets Data Graphs and their appropriate use cases Data 360-triggered Salesforce Flows Consent, governance, and data deletion Data Spaces and access control Salesforce CRM data vs external data sources Predictive AI vs generative AI use cases Prioritize application and architecture decisions over memorizing UI navigation. After creating the set, organize questions by exam domain and create a final mixed 60-question practice exam weighted according to the official Salesforce exam percentages. Do not reveal answers until after each practice question is attempted, if the app supports that behavior.

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