Decide on an appropriate data model that prioritizes reuse, scalability, and efficiency (e.g., tiered architecture, data governance) ( Qlik Documentation: data modeling).Determine an appropriate data model design to meet customer needs ( Qlik Documentation: Introduction to data modeling).Outline steps to implement security requirements ( Qlik Documentation: Security).Given a scenario, identify Qlik Sense features to meet customer needs (e.g., associative data model, master items, ODAG, GeoAnalytics).Identify the data load and refresh requirements (e.g., tiered architecture, multiple data sources, varying refresh times) ( Qlik Reference: refresh data).Identify Requirements for Data Models (16%)

The Qlik Sense Data Architect Exam is a part of the Data Analytics. It includes Qlikview and Qliksense certifications.

Qlik offers various certifications in the major field which are Data Integration and Analytics. Transform raw data into actionable insights, empowering people across an organization to make smarter decisions and drive better outcomes, every day. Qlik democratizes BI, accelerating your path to business value. So, the domains are built upon these abilities, the domains are mentioned below: The Qlik Sense Data Architect Certification exam measures the ability such as data models, design and build data models, and validate the data. QlikView developers who are interested in mastering scripting in QlikSense.Beginner QlikSense developers interested in mastering scripting to build a data model.Familiar with SQL and relational databases.Ability to architect data to provide optimal performance.Understand the QVD layer and architecture of the Qlik platform.

Create and use connectors to various data sources.Basic understanding of Extract-Transform-Load (ETL).Ability to write Qlik Sense LOAD scripts and validate data.Practical experience developing multiple production-quality applications in Qlik Sense.With the Qlik Sense Data Architect Qualification you get equipped with the following skills:

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