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Last Updated: Jul 19, 2026
No. of Questions: 52 Questions & Answers with Testing Engine
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Qlik QSDA2019 certification exam is a valuable credential for individuals seeking to demonstrate their expertise in data architecture using Qlik Sense. Passing QSDA2019 exam validates an individual’s knowledge and skills in designing, building, and managing data models in Qlik Sense, which can lead to new career opportunities and increased earning potential.
Reference: https://www.qlik.com/us/services/training/certifications-and-qualifications
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The QSDA2019 certification exam assesses candidates on their ability to create efficient data models using best practices, manage data and data relationships effectively, create optimized data connections, and manage and optimize the performance of data models. QSDA2019 exam consists of multiple-choice questions that test the candidates’ proficiency in Qlik Sense data architecture. Candidates who pass the exam will receive the Qlik Sense Data Architect certification, indicating that they have demonstrated proficiency in the skills required for designing and implementing data models with Qlik Sense.
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Qlik QSDA2019 (Qlik Sense Data Architect Certification) Certification Exam is a highly respected certification for professionals who work with data and analytics. Qlik Sense Data Architect Certification Exam certification is designed to test an individual's skills in designing and building data models, creating and managing data connections, and optimizing data for use in Qlik Sense applications. Qlik Sense Data Architect Certification Exam certification is intended for individuals who have experience working with Qlik Sense and are looking to advance their skills and knowledge in data architecture.
| Section | Weight | Objectives |
|---|---|---|
| Data Transformations | 38% | - Implement scripting and data cleansing - Document and maintain load scripts - Use Data Load Editor and Data Manager - Handle dates, null values, and calculations |
| Data Connectivity | 8% | - Manage connection configurations - Use appropriate connectors and data connections |
| Data Model Design | 28% | - Optimize data structures and relationships - Plan for reuse and maintainability - Design efficient and scalable data models |
| Data Validation & Security | 16% | - Implement Section Access and security rules - Validate data accuracy and consistency - Migrate QlikView applications using Qlik Converter |
| Identify Model Requirements | 10% | - Determine data sources and connectivity needs - Identify business and technical requirements - Define security and access requirements |
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