Qlik Sense System Administrator Certification Exam (QSSA2021)

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The QSSA2021 is a professional certification exam designed to validate expertise in administering and managing Qlik Sense environments. It evaluates practical skills required to support, monitor, and optimize Qlik Sense system deployments.

The exam covers configuration, system health monitoring, security, data governance, model optimization, and operational tasks critical for maintaining robust analytics platforms.

Exam Overview

• Exam Code: QSSA2021
• Name: Qlik Sense System Administrator Certification Exam
• Provider: Qlik
• Duration: 120 minutes
• Question Format:
  • 136 Single‑select questions
  • 31 Multi‑select questions
  • Total: 167 questions
    
    
• Passing Score: Approximately 90%
• Version: 6.0
  
  

Ideal For

This certification is appropriate for professionals who:

• Work as Qlik Sense System Administrators or are preparing for such roles.
• Are responsible for deploying, maintaining, and securing Qlik Sense environments.
• Support data governance, performance optimization, and system reliability in enterprise analytics platforms.
• Seek to validate their technical skills with a recognized industry certification.
  
  

Knowledge Areas Covered

The qssa2021 exam assesses practical and operational aspects of Qlik Sense system administration. Key domains include:

• Designing Efficient Data Models and Associative Structures – Building and structuring data models for performance and scalability.
• Implementing Data Connections and Governance – Managing data sources while ensuring governance standards.
• Script Development & Automated Data Refreshes – Developing and maintaining loading scripts and scheduling data refresh processes.
• Security and Access Control – Configuring roles, rules, and access policies to protect data and resources.
• Performance Optimization – Fine‑tuning data modeling and caching to maximize analytics performance.
• Data Quality and Validation Procedures – Enforcing consistent checks and balances within the data lifecycle.
• Deployment Pipelines and Environment Management – Planning system deployments, automation, and lifecycle strategies.
• Dashboarding & Storytelling – Creating dashboards and analytics content that clearly communicates insights.
• Monitoring System Health & Usage Metrics – Monitoring, logging, and analyzing system performance and compliance.
• Backup, Disaster Recovery & Version Control – Managing backup strategies and ensuring resilience against failures.