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Understanding functional and technical aspects of QSBA2018: Qlik Sense Business Analyst Certification Develop Application
The following will be discussed in QLIKVIEW QSBA2018 exam dumps:
- Create a story
- Know what extensions are and when to use them
- Create master items
- Create and use variables
- Perform tasks around making a production ready application (e.g., create a thumbnail image, appropriate title, etc.)
- Use custom color in charts (e.g., ColorMix, CSS colors, If statements, etc.)
- Change the grid size after adding objects
- Use chart suggestions to change visualization type
- Add dimensions, measures, and objects
- Use the latest objects and features in the Visualization Bundle, e.g., trellis chart, Profit & Loss pivot table
- Set up visualizations with alternate states
- Use advanced functions like AGGR and set analysis
- Apply filters and create bookmarks
- Select appropriate screen layout
- Use Insight Advisor to generate visualizations
- Use Advanced Authoring features, e.g., specify a default landing sheet, native container object, etc.
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The salary of QSBA2018: Qlik Sense Business Analyst Certification certified professionals varies from $71K to $121K depending on the years of experience.
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How to book the Qlik Sense Business Analyst QSBA Exam
These are following steps for registering the Qlik Sense Business Analyst, QSBA exam.
- Step 1: Visit to Qlik Exam Registration
- Step 2: Sign up/Login to qlikview pearsonvue account
- Step 3: Select local centre based on your country, date, time and confirm with a payment method.
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Qlik QSBA2018 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop Applications | 25% | - Optimize app performance - Implement master items and reusable assets - Build visualizations and dashboards - Use advanced functions and expressions |
| Topic 2: Design Applications | 25% | - Select appropriate visualizations - Plan app structure and navigation - Apply design best practices and usability principles |
| Topic 3: Prepare and Load Data | 30% | - Connect to various data sources - Resolve synthetic keys and associations - Create efficient data models - Transform and clean data |
| Topic 4: Identify Requirements | 20% | - Determine user types and access requirements - Gather and interpret business needs - Define KPIs, metrics, and dimensions |




