Qlik QSBA2019 real exam prep : Qlik Sense Business Analyst Certification Exam - June 2019 Release

  • Exam Code: QSBA2019
  • Exam Name: Qlik Sense Business Analyst Certification Exam - June 2019 Release
  • Updated: Aug 07, 2026
  • Q&As: 0 Questions and Answers

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Online Test Engine: Supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser.

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Qlik QSBA2019 Exam Syllabus Topics:

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

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