The QSDA2019 exam is a comprehensive test that covers a wide range of topics related to Qlik Sense, including data loading, data modeling, data transformation, data visualization, and data governance. QSDA2019 exam is conducted online and consists of multiple-choice questions and practical exercises. The duration of the exam is two hours, and candidates are required to achieve a passing score of 70% or above to become certified. Qlik Sense Data Architect Certification Exam certification is valid for two years and can be renewed by passing a recertification exam. The QSDA2019 certification is recognized globally, and it is a valuable credential for anyone looking to advance their career in the field of data analytics and visualization.
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Qlik Sense Data Architect Certification Exam (QSDA2019) is an industry-recognized credential that validates a professional's expertise in designing, developing, and managing data models within Qlik Sense. Designed for data architects, data modelers, and data analysts, this certification exam tests an individual’s ability to use Qlik Sense to design and develop efficient, scalable, and flexible data models.
Reference: https://www.qlik.com/us/services/training/certifications-and-qualifications
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To prepare for the QSDA2019 certification exam, it is recommended that you have a solid understanding of Qlik Sense data modeling, data architecture, and data visualization. You can take advantage of Qlik's training courses, online resources, and practice exams to help you prepare for the exam. It is important to note that the exam is not easy, and you will need to dedicate enough time to study and practice before sitting for the exam.
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Qlik QSDA2019 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Validate Data | 20% | - Resolve synthetic keys and circular references - Resolve data quality and formatting issues - Debug and troubleshoot script errors - Validate data models against source systems |
| Design Data Models | 30% | - Implement calendars, flags, and set analysis support structures - Determine appropriate data model architecture - Manage complex modeling scenarios - Design scalable and reusable data models |
| Identify Model Requirements | 10% | - Determine security requirements - Identify data load and refresh requirements - Identify Qlik Sense features to meet business requirements |
| Build Data Models | 40% | - Use data transformation techniques in Data Load Editor and Data Manager - Manage data connections and data sources - Perform joins, keeps, resident loads, and incremental loads - Implement Section Access security - Create and transform data models using load scripts |








