Qlik Sense Data Architect Certification Cheat sheet – Blog

Here’s a quick overview of the Qlik Sense Data Architect Certification exam. We have the Ultimate Cheat Sheet for you. This cheat sheet will give you the tools and resources you need to pass the exam. This cheat sheet will also enrich your revisions and help to bridge the gap to your dream job. Before we get into the cheat sheet, let’s take a quick look at the exam details.
Qlik Sense Data Architect: Overview
Qlik Sense is a comprehensive data analytics platform that sets the standard for a new generation. Qlik Sense Qualifications are foundational exams that demonstrate both applied and foundational knowledge. TheQlik Sense Data architect Exam measures your ability to identify data model requirements, design and build data models and validate them.
Data Architect Job Role
You can grow your career with various Qlik Sense Data Architect jobs. Data architects are responsible for all aspects of business analysis. They write QlikView scripts that import data, create performance-tuned models, and integrate them into QlikView applications.
Skills required
The Qlik Sense Data Architect Qualification equips you with the following skills:
Practical experience in developing multiple production-quality Qlik Sense applications
Ability to validate data and write Qlik Sense LOAD commands
Basic understanding of Extract-Transform-Load (ETL)
Connectors can be created and used to connect to different data sources
Learn about the QVD layer, architecture and features of Qlik.
Ability to design data to optimize performance
Be familiar with SQL and relational database concepts
Target Audience
QlikSense developers who are interested in learning scripting to build a model of data.
QlikView developers interested in learning scripting in QlikSense
Cheat Sheet for Qlik Sense Data Architect Exam
Candidates should know where to start when preparing for certifications or exams. This cheat sheet will help you in your revision journey. It will also serve as an information resource, as it covers all important exam resources.
Reexamine the Exam Objectives
First, visit the Official Website for the exam. This will allow you to stay up-to-date with all the latest information about the exam. You should also review the exam objectives and topics. You should have a thorough understanding of the exam concepts. You must also plan your study around the exam domains. These are the topics covered in this exam:
Identify requirements for data models (16%)
Identify the data load requirements and refresh requirements (e.g. tiered architecture, multiple sources of data, varying refresh times) (Qlik Refer:refresh data).
Given a scenario, identify Qlik Sense features that will meet customer needs (e.g. master items, associative data models, ODAG, GeoAnalytics).
Outline steps to implement security requirements (Qlik Documentation:Security)
Design Data Models (28%)
Determine an appropriate data model design to meet customer needs (Qlik Documentation:Introduction to data modeling)
Choose a data model that prioritizes reuse and scalability. (Qlik Documentation:data modelling)
Learn how to manage complex scenarios (e.g. calendar, set analysis, flags and functions) (Qlik Refer:Complex scenarios).
Build Data Models (34%).
Create data models (e.g., join, keep, resident load, where clause, incremental load, purge strategy, variable) (Qlik Documentation:Introduction to data modeling)
Use data transformation techniques in a given scenario with both data load editor (Qlik Documentation :data modeling) and data manager (Qlik Data Editor :data manager).
Manage security using section access (Qlik Documentation:Security)
Use the Qlik Converter to migrate QlikView documents to Qlik Sense applications (Qlik Documentation:MovingQlikViewcontent toQlik Sense: