How difficult is the Qlik Sense Data Architect Exam. Blog

Qlik is a leader in business analytics, data warehouses, and data mining certification. With the advancement of technology, the demand for data architects is increasing. This blog will give you an overview to help you prepare for the Qlik Sense Data Architect Exam. Qlik is a software company offering an end-to-end platform, which includes data integration, user driven business intelligence, and conversational analysis. There are rumours that this exam is difficult to crack. We all know that rumours are false. You can easily excel in any exam if you work hard and are dedicated. Let’s first learn more about it.
Qlik Sense Data Architect Examination
The Qlik Sense Data Architect Certification Exam tests your ability to identify data model requirements, design and build data models, as well as validate the data. Qlik Sense is the standard for data analytics and empowers data exploration. Qlik Sense is the last but not least. It combines free-form, associative exploration and AI-powered insights suggestions and automation to increase the power of human intuition. This allows users to make new discoveries and uncover unexpected insights.
Prerequisites for Qlik Sense Data Architect Exam
Although there is no pre-requisite for the exam, it would be a nice touch if you knew the following:
Exam Details
The Qlik Sense Data Architect Certification Exam Questions consists of 50 multiple-choice questions. These questions can be answered in approximately 120 minutes. Prices may vary from one place to another. You can also register on Pearson VUE at your convenience. You can cancel or reschedule your exam. The exam results will be available as soon as you have completed the exam. They are only available in English. The Qlik Sense Data Architect Certification Passing score is 58%.
Qlik Sense Data Architect Syllabus
The Qlik Sense Data Architect Certification Examination covers these topics:
Identify requirements for data models (16%)
* First, identify the data load and refresh requirements (e.g. multiple data sources, tiered architecture, varying refresh times, multiple data sources). Then, given a scenario, identify Qlik Sense features that will meet customer needs (e.g. master items, associative data models, ODAG and GeoAnalytics). Here are the steps to implement security requirements
Design Data Models (28%)
* First, determine the most appropriate data model design to meet customer requirements
* Second, choose a data model that prioritizes reuse and scalability. (e.g., tiered structure, data governance). How to manage complex situations (e.g., calendars, set analysis, flags and functions)
Domain 3: Build Data Models (34%).
* Use data transformation techniques with both the data load editor or data manager depending on the situation. Secure section access can be managed. Use Qlik Converter to convert QlikView documents into Qlik Sense applications.
Domain 4: Validate Data (22%).
Validate data models against source information with Qlik Sense visualizations. Resolve data modeling problems (e.g. synthetic keys, circular refers, scripting errors and debugging) as well as data issues (e.g. null values, data formatting).
How difficult is the Qlik Sense Data Architect Exam exam?
It is not easy to be a Qlik Sense Data Architect, but it is possible. When it comes to the Qlik Sense Data Architect exam, all you need are the right resources and a guide for practice. The right study material is key.