Qlik QSDA2022 exam dumps : Qlik Sense Data Architect Certification Exam - 2022

  • Exam Code: QSDA2022
  • Exam Name: Qlik Sense Data Architect Certification Exam - 2022
  • Updated: Sep 09, 2026     Q & A: 78 Questions and Answers

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About Qlik QSDA2022 Exam

Qlik QSDA2022 Certification Exam is a computer-based exam that can be taken at any Pearson VUE testing center around the world. QSDA2022 exam consists of 50 multiple choice questions that must be answered in 120 minutes. Candidates must achieve a passing score of 70% or higher to earn the certification.

Reference: https://www.qlik.com/us/services/training/certifications-and-qualifications

To prepare for the QSDA2022 exam, candidates should have a solid understanding of data architecture concepts and how they apply to Qlik Sense. They should be familiar with best practices for data modeling, including creating and maintaining data models, optimizing data models for performance, and ensuring data quality. Candidates should also have experience with Qlik Sense data preparation, including using data connectors, transforming data, and loading data into Qlik Sense.

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The QSDA2022 certification exam is a computer-based exam that is administered at Pearson VUE testing centers around the world. QSDA2022 exam consists of 50 multiple-choice questions that must be completed within 2 hours. To pass the exam, candidates must score a minimum of 70% on the exam.

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Qlik QSDA2022 (Qlik Sense Data Architect Certification Exam - 2022) Certification Exam is a highly sought after certification for data professionals who seek to demonstrate their expertise in using the Qlik Sense platform. Qlik Sense Data Architect Certification Exam - 2022 certification exam is designed to test the skills of data architects who are responsible for designing and implementing data models, creating and managing data connections, and developing Qlik Sense applications.

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Qlik QSDA2022 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Transformations38%- Document load scripts properly
- Incremental loading for extract layer
- Script organization and cleansing
- Handle null and blank data for filtering
- Build data content based on requirements
- Date handling techniques
Topic 2: Identify Requirements20%- Determine appropriate level of security
- Identify stakeholders in scenarios
- Determine primary requirements with business users
- Determine metrics, granularity and aggregation
- Identify dimensionality and slowly changing dimension support
Topic 3: Data Model Design28%- Efficient implementation of data structures
- Select appropriate data model types
- Optimize data model for Qlik Sense
- Determine measures and attributes from sources
Topic 4: Validation6%- Validate and test data
- Validate and test scripts
Topic 5: Data Connectivity8%- Determine data sources and connectors needed
- Choose appropriate connection methods

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