Qlik Sense Data Architect Certification

The Qlik Sense Data Architect Certification Exam tests your knowledge of developing and managing data models used to create Qlik Sense visualizations. This exam tests your ability to translate business requirements into technical requirements, to design, create and validate the data model, and build the master library.

About this Exam

The Qlik Sense Data Architect Certification Exam is a 2 hour, multiple choice knowledge test delivered at Pearson VUE Test Centers globally. It is available in English only. This exam has 60 questions.

Exam Prerequisites

  • Experience developing at least two 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

Exam Domain Areas

Translate Business Requirements into Technical Requirements to Build a Data Model (22% of the exam)
  • Map the application security requirements into Qlik Sense security features
  • Given a business requirement, identify the dimensions and measures
  • Determine if a table model matches the granularity and dimensionality requirements
  • Given the business requirements and data model, determine additional fields and calculations required

Design a Data Model (23% of the exam)

  • Evaluate load strategies for a variety of data sources
  • Resolve data modeling problems (e.g., circular reference, synthetic keys)
  • Evaluate data model solutions to meet objectives (e.g., additional data, use of flags)

Create a Data Model (30% of the exam)

  • Explain the data connection process and security requirements
  • Evaluate statements to load data
  • Given a data modeling objective, identify the correct statements and/or functions
  • Troubleshoot script errors

Validate a Data Model (13% of the exam)

  • Validate data integrity and resolve issues
  • Validate data associations

Build the Master Library (12% of the exam)

  • Given a business requirement, identify the correct expression (e.g., set analysis, variables)
  • Explain the process to populate the master library