Qlik QSDA2018 Exam Information and Actual Questions

  • Exam Code/Number: QSDA2018
  • Exam Name/Title: Qlik Sense Data Architect Certification Exam - June 2018 Release
  • Certification Provider: Qlik
  • Corresponding Certification: Qlik Sense Data Architect
  • Exam Questions: 52
  • Updated On: Oct 13, 2026

QSDA2018
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QSDA2018 Exam
Qlik Sense Data Architect Certification Exam - June 2018 Release

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Qlik QSDA2018 Exam Overview:

Certification Vendor:Qlik
Exam Name:Qlik Sense Data Architect Certification Exam - June 2018 Release
Exam Number:QSDA2018
Passing Score:58%
Related Certifications:Qlik Sense Business Analyst
Qlik Sense System Administrator
Certificate Validity Period:2 years
Exam Duration:120 minutes
Exam Price:USD 250
Real Exam Qty:50
Exam Format:Multiple choice, Scenario-based, Multiple response
Available Languages:English
Recommended Training:Qlik Sense Data Architect Training
Exam Registration:Pearson VUE Registration
Qlik Official Certification Page
Sample Questions:Qlik QSDA2018 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; Qlik recommends hands-on experience with Qlik Sense and completion of related training courses
Official Syllabus URL:https://www.qlik.com/us/services/training/certification

Qlik QSDA2018 Exam Syllabus Topics:

SectionWeightObjectives
Performance Optimization and Validation10%- Monitoring and improving application performance
- Validating data integrity and consistency
- Optimizing data model and script performance
Qlik Sense Architecture and Data Connections20%- Qlik Sense platform architecture
- Managing connections and data sources
- Data connectivity (files, databases, web sources, APIs)
Scripting and Data Load Editor25%- Managing data load scripts
- Variables, functions, and expressions
- Debugging and troubleshooting scripts
- Script syntax and control statements
Data Modeling and Transformation30%- Data transformation, cleansing, and enrichment
- Using QVD files and incremental loading
- Designing efficient data models
- Resolving synthetic keys and circular references
Security and Governance15%- Application and stream security
- Data governance best practices
- Section Access and data security


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