Qlik Sense QSDA Data Architect Certification preparation2026

The Qlik Sense Data Architect (QSDA) exam is a certification exam that assesses a candidate's knowledge of data modeling, data integration, and data visualization using Qlik Sense.

• The exam is two hours long and consists of 70 multiple-choice questions.

• The exam is proctored using a webcam to ensure the integrity of the exam process

• Take practice exams to get familiar with the exam format and question types.

• Identify areas of weakness and focus study efforts on those areas.

• Practice under timed conditions to develop a pace that allows you to complete all questions within the allotted time.

• Create a Webassessor or Pearson VUE account.

• Agree to Qlik's Certification Exam Access and Use Agreement.

Who can take the exam?

• Qlik developers

• Business analysts

• Aspiring data analysts

• IT professionals and developers

• Students and recent graduates in data-related fields

• Managers or leaders interested in data-driven decisions

Identify Model Requirements (10% of the exam)

· Identify the data load and refresh requirements (e.g., tiered architecture, multiple data sources, varying refresh times)

· Given a scenario, identify Qlik Sense features to meet customer needs (e.g., associative data model, master items, ODAG, GeoAnalytics)

· Outline steps to implement security requirements

Design Data Models (30% of the exam)

· Determine an appropriate data model design to meet customer needs

· Decide on an appropriate data model that prioritizes reuse, scalability, and efficiency (e.g., tiered architecture, data governance)

· Determine how to manage complex scenarios (e.g., calendar, set analysis, flags, functions)

Build Data Models (40% of the exam)

· Create data models (e.g., join, keep, resident load, where clause, incremental load, purge strategy, variable)

· Given a scenario, use data transformation techniques with both data load editor and data manager

· Manage security using section access

· Use the Qlik Converter to migrate QlikView documents to Qlik Sense applications

· Use appropriate data connections

Validate Data (20% of the exam)

· Validate data models against source information using Qlik Sense visualizations

· Resolve data modeling issues (e.g., synthetic keys, circular references, scripting errors, debugging)

· Resolve data issues (e.g., null values, data formatting)