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Qlik QSBA2019 Exam Syllabus Topics:

SectionObjectives
Identify Requirements- Basic data preparation concepts
  • 1. Use existing enterprise data connections
  • 2. Create file and folder data connections
  • 3. Create manual data tables in Data Manager
  • 4. Explain synthetic keys and resolution methods
- Determine appropriate Qlik products and capabilities
  • 1. Explain Qlik Sense features and their impact on application design
  • 2. Identify required Qlik products for business solutions
  • 3. Describe deployment options
- Understand supporting technologies
  • 1. Qlik GeoAnalytics
  • 2. Web mashups and widgets
  • 3. Section access
  • 4. APIs and server-side extensions
- Define business requirements
  • 1. Identify user types and devices
  • 2. Identify KPIs, dimensions and measures
  • 3. Understand user requirements and consumption patterns
Develop Applications- Build analytics applications
  • 1. Create dimensions and measures
  • 2. Create sheets and visualizations
  • 3. Use master library objects
- Deliver business insights
  • 1. Support self-service analytics
  • 2. Share and publish applications
  • 3. Configure dashboards
Design Applications- User experience and layout
  • 1. Optimize navigation and usability
  • 2. Design responsive application layouts
  • 3. Design for maintainability and flexibility
- Visualization design
  • 1. Apply effective use of color
  • 2. Choose dimensions and measures
  • 3. Select appropriate chart types
  • 4. Determine optimal number of charts
Prepare and Load Data- Data modeling
  • 1. Manage data connections
  • 2. Prepare data for analytics applications
  • 3. Troubleshoot data model issues
- Data preparation
  • 1. Create and manage associations
  • 2. Use Data Manager for data loading
  • 3. Validate data model structure

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