Last Updated: Sep 29, 2026
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Passing the QSDA2019 certification exam validates the candidate's skills and expertise in Qlik Sense Data Architect. It is an industry-recognized certification that can help individuals enhance their career opportunities and increase their earning potential. The QSDA2019 certification is also a prerequisite for other advanced certifications offered by Qlik, such as the Qlik Sense Business Analyst Certification and the Qlik Sense System Administrator Certification. QSDA2019 exam consists of 50 multiple-choice questions and has a duration of 2 hours. The passing score for the exam is 70%, and it can be taken online or at a certified testing center.
Qlik QSDA2019 Certification Exam is a comprehensive examination designed for individuals who want to validate their expertise in Qlik Sense data architecture. QSDA2019 exam is specifically designed to validate the knowledge and skills of professionals who work with Qlik Sense in architecting, designing, deploying, and managing Qlik Sense data solutions. Qlik Sense Data Architect Certification Exam certification is a globally recognized credential that demonstrates the holder’s ability to work with complex data architecture in Qlik Sense.
Reference: https://www.qlik.com/us/services/training/certifications-and-qualifications
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Qlik QSDA2019 (Qlik Sense Data Architect Certification) certification exam is designed for individuals who aspire to become data architects. QSDA2019 exam validates the skills and knowledge necessary to design and implement data models, manage data relationships, and optimize data connections within the Qlik platform. Qlik Sense Data Architect Certification Exam certification is recognized globally and reflects a practitioner’s ability to master Qlik Sense data modeling and design skills.
| 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 |
| Identify Model Requirements | 10% | - Identify data load and refresh requirements - Identify Qlik Sense features to meet business requirements - Determine security requirements |
| Build Data Models | 40% | - Perform joins, keeps, resident loads, and incremental loads - Manage data connections and data sources - Implement Section Access security - Use data transformation techniques in Data Load Editor and Data Manager - Create and transform data models using load scripts |
| Design Data Models | 30% | - Determine appropriate data model architecture - Implement calendars, flags, and set analysis support structures - Manage complex modeling scenarios - Design scalable and reusable data models |
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