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Official Qlik Sense Data Architect Certification Exam Syllabus:
Identify Model Requirements (10%)
Identify the data load and refresh requirements (e.g., tiered architecture, multiple data sources, varying refresh times)
Given a scenario, identify Qlik Sense features to meet customer needs (e.g., associative data model, master items, ODAG, GeoAnalytics)
Outline steps to implement security requirements
Design Data Models (30%)
Determine an appropriate data model design to meet customer needs
Decide on an appropriate data model that prioritizes reuse, scalability, and efficiency (e.g., tiered architecture, data governance)
Determine how to manage complex scenarios (e.g., calendar, set analysis, flags, functions)
Build Data Models (40%)
Create data models (e.g., join, keep, resident load, where clause, incremental load, purge strategy, variable)
Given a scenario, use data transformation techniques with both data load editor and data manager
Manage security using section access
Use the Qlik Converter to migrate QlikView documents to Qlik Sense applications
Use appropriate data connections
Validate Data (20%)
Validate data models against source information using Qlik Sense visualizations
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