About the QSDA Exam: Current Facts, Objectives & How to Use This Guide

QSDA Qlik Sense Data Architect Study Guide Exam

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1 Introduction: About the QSDA Exam

About the QSDA Exam: Current Facts, Objectives & How to Use This Guide

2 Chapter 1: Business Requirements, Data Granularity & Security

1.1 Business Requirements, KPI Formulation & Data Granularity 1.2 Dimensionality Analysis & Slowly Changing Dimensions (SCD) 1.3 Data Security Architecture & Section Access Implementation

3 Chapter 2: Data Connectivity & Source Integration

2.1 Relational Databases, ODBC/OLE DB & Cloud Data Warehouses 2.2 REST API Connectors, Pagination Strategies & Web Data 2.3 Data Connections, lib:// Pathing & Qlik Cloud Space Governance

4 Chapter 3: Dimensional Modeling & Schema Architecture

3.1 Dimensional Modeling: Star Schema vs. Snowflake in Qlik Sense 3.2 Multi-Fact Modeling: Fact Concatenation vs. Link Tables 3.3 Resolving Synthetic Keys ($Syn) and Circular References

5 Chapter 4: QIX Engine Architecture & Key Performance Optimization

4.1 The QIX In-Memory Associative Engine: Symbol Tables & Data Tables 4.2 Composite Keys, Cardinality & AutoNumber Memory Optimization 4.3 Field Scoping, QUALIFY / UNQUALIFY & Semantic Naming

6 Chapter 5: Load Scripting Fundamentals & Table Operations

5.1 Script Structure, Preceding Load & Resident Operations 5.2 Merging Tables: Joins, Keeps & Concatenation Semantics 5.3 Mapping Tables: ApplyMap vs. Lookup & Join Performance 5.4 Advanced Table Reshaping: Crosstable, Generic & Inter-Record Functions (Peek/Previous) 5.5 Script Documentation, Organization & Reusable Include Files

7 Chapter 6: QVD Architecture, Incremental Loads & Temporal Logic

6.1 QVD File Architecture: Optimized vs. Unoptimized Loads 6.2 Multi-Tier QVD Architecture: Extract, Transform & Presentation Layers 6.3 Incremental Load Patterns: Insert, Update & Delete Strategies 6.4 Master Calendars, Canonical Dates & Temporal Logic

8 Chapter 7: Advanced Transformations, Data Cleansing & Validation

7.1 IntervalMatch & Hierarchy Modeling (Hierarchy & HierarchyBelongsTo) 7.2 Data Cleansing, Null Handling & Script Control Flow 7.3 Data Model Validation, Source Reconciliation & Subset Ratios 7.4 Script Debugging, Trace Logging & Security Auditing

About the QSDA Exam: Current Facts, Objectives & How to Use This Guide

Key Takeaways Explain This Topic AI

Qlik's current Qlik Sense Data Architect exam has 45 multiple-choice questions, a 120-minute limit, and a 60% passing score.

The exam costs US$250 per attempt, is taken online through Qlik Learning, and has been proctored through Kryterion Webassessor since July 2026.

Qlik certification exams are open book, but AI tools are prohibited during the exam.

Candidates get up to three attempts per exam, with a 48-hour wait after the first failure and a 14-day wait after the second.

Qlik certifications are valid for two years from the pass date, and the current exam page publishes five domains and 19 objectives without percentage weights.

Last updated: October 2026

Why the Exam Facts Matter

The Qlik Sense Data Architect certification tests whether you can turn business requirements into a working Qlik data model: choose sources and connections, design the associative model, write the load script, and prove the data is right. Qlik describes the exam as platform-neutral : the content applies to both client-managed Qlik Sense and Qlik Cloud. This guide therefore teaches both deployment styles wherever they differ, for example QMC security rules versus Qlik Cloud spaces, or INTERNAL\SA_SCHEDULER versus USER.EMAIL rows in Section Access.

Current Exam Facts (checked against Qlik on October 15, 2026)

• Item Current official detail
• Delivery Purchased and launched through Qlik Learning ; online only, with no test-center option

Proctoring AI-proctored and recorded; Qlik moved proctoring to Kryterion Webassessor in July 2026 (no separate Webassessor account is needed)

• Duration 120 minutes
• Questions 45 multiple-choice questions
• Passing score 60% ; Qlik adjusts the cut score to keep a consistent standard as content changes
• Price US$250 per attempt, paid by card or voucher; exam access lasts one year after enrollment
• Language English only; non-native speakers can request extra time through Qlik Support

Open book Qlik Learning courses, Qlik product documentation, knowledge articles, your own notes, and web searches are allowed; AI tools are prohibited

Scoring No partial credit: on a multiple-answer item you must select exactly the number of answers requested

Retakes Up to 3 attempts ; wait 48 hours after the first failure and 14 calendar days after the second; each attempt needs full payment or a new voucher

Validity 2 years from the pass date; recertify by passing the current exam before it expires

Recommended experience Practical experience building several production-quality Qlik Sense apps; Qlik's FAQ suggests about six months of on-the-job experience

Qlik's exam page warns that "the number and difficulty of questions may change," so confirm these details on the official page before you buy. Earlier versions of the same page listed 50 questions, a 62% passing score, and percentage weights for each domain. The current page lists the domains and objectives without weights , so treat any weighting you see in third-party material as unofficial.

The Official Blueprint: 5 Domains, 19 Objectives

Qlik lists the objectives below (it repeats "script organization and cleansing" twice, so there are 19 distinct objectives). The right-hand column shows where this guide teaches each one.

• Domain Official objective (Qlik wording, shortened) Where this guide teaches it
• Identify Requirements Primary requirements for business users 1.1
• Identify Requirements Stakeholders in a given scenario 1.1
• Identify Requirements Metrics and levels of granularity and aggregation 1.1
• Identify Requirements Dimensionality and slowly changing dimension support 1.2
• Identify Requirements Appropriate level of security 1.3
• Data Connectivity Data sources and connectors needed 2.1, 2.2
• Data Connectivity Method to create connections for data sources 2.3
• Data Model Design Measures and attributes from each data source 1.1, 3.1
• Data Model Design Appropriate type of data model 3.1, 3.2
• Data Model Design Optimize the data model for Qlik Sense 3.3, 4.1, 4.2
• Data Model Design Implement data structures efficiently 4.2, 4.3
• Data Transformations Build data content based on requirements 5.1 to 5.4, 7.1
• Data Transformations Null and blank handling to support filtering 7.2
• Data Transformations Document data load scripts 5.5
• Data Transformations Date handling techniques 6.4, 7.2
• Data Transformations Script organization and cleansing 5.5, 7.2
• Data Transformations Variables for incremental loading in the extract layer 6.1 to 6.3
• Validation Validate and test scripts 7.4
• Validation Validate and test data 7.3
• How the Questions Work

Questions are scenario-based: a short description of a business need or a failing script, followed by options that name a technique, a statement, or a setting. Because the exam is open book but timed, at about 2.7 minutes per question (120 minutes divided by 45), you cannot research every item. Know the core patterns well enough to answer from memory, such as what keeps a QVD read optimized, how WHERE NOT Exists() merges an incremental load, how the * wildcard behaves in Section Access, and when to use a link table. Save documentation lookups for exact syntax details.

How to Use This Guide

Work through the chapters in order. Requirements (Chapter 1) drive connectivity and model design (Chapters 2 to 4), which drive the script techniques in Chapters 5 to 7.

Build as you read. Recreate the scripts in any Qlik Sense environment you can use, then inspect the result in the data model viewer and the reload log. Most exam traps, such as synthetic keys, auto-concatenation, or a missing optimized marker, are obvious once you have seen them happen.

Use the practice questions. Each section ends with exam-style questions; the explanations name the trap behind every wrong option.

Use Qlik's own preparation material. The exam page points to the instructor-led Data Modeling for Qlik Sense course and the self-paced Data Architect collection in Qlik Learning (a Qlik Learning subscription is required for the courses), and Qlik's FAQ recommends its practice test before booking.