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Exam Information
Official specifications published by QlikView
Exam Format
120 min
50
62%
Professional
Registration
$250 USD
Pearson VUE or online proctoring
Validity
3 years
Retake the current version of the exam; Pass a higher-level Qlik certification exam; Complete continuing education requirements
QSDA2024 Exam Topics and Domains
QSDA2024 is organized into 5 weighted domains. Expect to work with Data Load Editor, Data Model Viewer, Data Profiling, Master Items, and more.
1
Identify Requirements
20%
Business Requirements Gathering
Determine primary requirements for business usersIdentify stakeholders using a given scenario
- Understand how to gather and document business requirements
- Identify and manage stakeholder expectations
- Translate business needs into technical specifications
Data Analysis Requirements
Determine metrics and levels of granularity and aggregationDetermine dimensionality and the need for slowly changing dimensionality support
- Define appropriate metrics for business analysis
- Understand dimensional modeling concepts
- Implement slowly changing dimensions
Security Requirements
Determine the appropriate level of security
- Design and implement security models
- Understand Section Access implementation
- Balance security requirements with performance
2
Data Connectivity
8%
Data Sources and Connectors
Determine the data sources and connectors needed
- Identify appropriate connectors for various data sources
- Understand connector capabilities and limitations
- Configure connections for optimal performance
Connection Methods
Determine the appropriate method to create connections for data sources
- Create and manage data connections
- Implement secure connection methods
- Optimize connection performance
3
Data Model Design
28%
Measures and Attributes
Determine the measures and attributes from each data source
- Identify and classify data elements
- Create effective measure definitions
- Design dimensional attributes
Data Model Types
Identify the appropriate type of data model
- Choose appropriate data model architecture
- Understand trade-offs between model types
- Implement complex data relationships
Model Optimization
Determine the correct method to optimize the data model for Qlik Sense
- Optimize data models for performance
- Resolve data model issues
- Implement best practices for model design
Data Structure Implementation
Determine the correct method to implement data structures efficiently
- Design efficient data architectures
- Implement QVD layering strategies
- Optimize load performance
4
Data Transformations
38%
Building Data Content
Determine the correct method to build data content based on requirements
- Develop complex load scripts
- Implement business logic in scripts
- Transform data to meet requirements
Null and Blank Data Handling
Analyze and evaluate null and blank data handling required to support filtering
- Implement null handling strategies
- Understand null impact on data model
- Design filters that handle nulls correctly
Script Documentation
Determine the correct method to document Data Load scripts
- Document scripts effectively
- Implement coding standards
- Maintain script documentation
Date Handling
Determine the correct method for date handling techniques
- Implement calendar solutions
- Handle complex date requirements
- Create time-based analysis structures
Script Organization and Cleansing
Determine the correct method to perform script organization and cleansing
- Structure scripts efficiently
- Implement error handling
- Create maintainable code
Incremental Loading
Analyze relevant variables to build scripts for incremental loading for the extract layer
- Design incremental load architectures
- Implement CDC patterns
- Optimize for large data volumes
5
Validation
6%
Script Validation and Testing
Determine the appropriate method to validate and test scripts
- Debug and test load scripts
- Identify performance issues
- Implement testing strategies
Data Validation
Determine the appropriate method to validate and test data
- Validate data accuracy and completeness
- Implement data quality measures
- Create data validation processes
How do I earn this certification?
Passing QSDA2024 earns the Qlik Sense Data Architect certification. It sits in the Data Architecture track.
Current Level Exams
- QSBA2024 - Qlik Sense Business Analyst Certification
- QSSA2024 - Qlik Sense System Administrator Certification
Next Level Options
- Expert Level - Qlik Expert Certification (when available) Advanced certification path under development
- Qlik Cloud - Qlik Cloud Specializations Specialized cloud-focused certifications
Alternative Paths
- QSBA2024 - Qlik Sense Business AnalystFront-end development and visualization skills
- QSSA2024 - Qlik Sense System Administrator Platform administration and governance
- Talend-DI - Talend Data Integration Extended ETL and data integration capabilities (Qlik acquired Talend)
- QlikView-Developer - QlikView Developer (Legacy) Understanding legacy QlikView platform
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for QSDA2024.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2024-01-01
- Announcement date: 2023-11-15
Updates
- Qlik Cloud Data Services Latest New cloud-native patterns in exam questions • Release date: 2024-10-01
- Qlik Application Automation 2024.1 Automation workflows now part of data architecture topics • Release date: 2024-06-01
- Direct Query Enhanced 2024 Expanded coverage of hybrid query patterns • Release date: 2024-04-01
Who should take this exam?
This exam is typically taken by Data Architects and Data Engineers.
- Practical experience developing multiple production-quality applications in Qlik Sense
- Ability to write Qlik Sense load scripts and validate data
- Basic understanding of Extract, Transform, Load (ETL)
- Create and use connectors to various data sources
- Understand the QVD layer and architecture of the Qlik platform
- Ability to architect data to provide optimal performance
- Familiar with SQL and relational databases