Description
Introduction:
The Qlik Sense Data Architect Certification is designed for professionals aiming to develop advanced skills in data modeling and architecture within the Qlik Sense environment. This certification focuses on the core principles of designing efficient data models, integrating data from multiple sources, and optimizing data flows to ensure seamless analytics. Participants will learn how to build scalable, high-performance data solutions that support business intelligence initiatives and meet organizational needs. The Qlik Sense Data Architect Certification Exam measures your ability to identify requirements for data models, design and build data models, and validate the data. This exam is platform neutral, which means that the content applies to both the client managed and SaaS editions of Qlik Sense. This exam has 50 multiple-choice questions to answer in 2 hours.
Prerequisites
- 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
Recommended Preparation Resources
- Instructor-Led Training:Â Data Modeling for Qlik Sense
- Qlik Continuous Classroom – Data Architect (Ref: Qlik Sense Basic )
- FREE Qlik Sense Data Architect Certification Practice Questions
Exam Topics
- Identify Requirements (20% of the Exam)
1.1. Determine Primary Requirements with Business Users
1.2. Choose Stakeholders Based on Scenarios
1.3. Determine Metrics, Granularity, and Aggregation Levels
1.4. Assess Dimensionality and Support for Slowly Changing Dimensions
1.5. Determine the Appropriate Level of Security
- Data Connectivity (8% of the Exam)
2.1. Identify Data Sources and Connectors Based on Scenarios
2.2. Create Connections for Data Sources Using Appropriate Methods
- Data Model Design (28% of the Exam)
3.1. Identify Measures and Attributes from Data Sources
3.2. Select the Appropriate Type of Data Model
3.3. Optimize the Data Model for Qlik Sense
3.4. Implement Data Structures Efficiently
- Data Transformations (38% of the Exam)
4.1. Build Data Content According to Requirements
4.2. Handle Null and Blank Data for Effective Filtering
4.3. Document Data Load Scripts Correctly
4.4. Apply Effective Date Handling Techniques
4.5. Organize and Cleanse Scripts Efficiently
4.6. Build Scripts for Incremental Loading in the Extract Layer
- Validation (6% of the Exam)
5.1. Validate and Test Scripts Based on Scenarios
5.2. Validate and Test Data for Accuracy and Consistence
Conclusion:
This certification empowers professionals to design, build, and manage data architectures in Qlik Sense, enabling efficient analytics and business intelligence solutions. By mastering these competencies, candidates can contribute significantly to their organizations’ success through data-driven strategies. Achieving this certification demonstrates a commitment to excellence in data architecture and analytics.
Reference
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