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The QSBA2022 exam is designed to measure a candidate's ability to understand and use Qlik Sense Business Intelligence tools to analyze data and create visualizations. QSBA2022 exam covers a wide range of topics, including data modeling, data analysis, visualization techniques, and reporting. QSBA2022 exam is available in multiple languages and can be taken at a testing center or online.
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To prepare for the QSBA2022 certification exam, candidates should have a solid understanding of data analysis concepts and experience using Qlik Sense to create data visualizations and conduct data analysis. QSBA2022 exam consists of 50 multiple-choice questions and must be completed within 2 hours. To pass the exam, candidates must score at least 70%. QSBA2022 exam can be taken at a testing center or online, providing flexibility for busy professionals.
Qlik Sense Business Analyst Certification Exam – 2022 (QSBA2022) is a certification exam designed to test the competency of candidates in using Qlik Sense Business Intelligence tools to analyze and visualize data. QSBA2022 exam is intended for business analysts who want to demonstrate their proficiency in using Qlik Sense to support decision-making processes.
Reference: https://www.qlik.com/us/services/training/certifications-and-qualifications
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Qlik QSBA2022 exam consists of 50 multiple-choice questions and has a time limit of 120 minutes. QSBA2022 exam covers a variety of topics, including data modeling, data visualization, data analysis, and data storytelling. Candidates must have a solid understanding of these concepts to pass the exam.
Qlik QSBA2022 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Applications | 24% | - Determine visualization layout and characteristics - Discuss the needs of the business users and how they will consume information - Evolve and enhance application design |
| Topic 2: Identify Requirements | 30% | - Determine Qlik Sense product capabilities to deliver a solution - Recommend KPIs, dimensions, and measures - Determine optimal data loading and application development processes - Discuss the needs of the business users and how they will consume information - Interpret results from Qlik Associations |
| Topic 3: Develop Application | 32% | - Configure and use storytelling - Create and configure master objects - Implement design best practices - Implement set analysis and alternate states |
| Topic 4: Prepare and Load Data | 14% | - Refine and finalize an application - Build an application |





