QSBA2018 Deutsch Exam Dumps
Qlik Sense Business Analyst Certification Exam - June 2018 Release (QSBA2018 Deutsch Version) QSBA2018 Deutsch real exam questions and online practice test engine by FreeCram. Try QSBA2018 Deutsch exam questions for free. You can also download a free demo of the QSBA2018 Deutsch exam PDF version.
Qlik's QSBA2018 Deutsch actual exam materials brought to you by FreeCram group of Qlik certification experts.
View all QSBA2018 Deutsch actual exam questions & answers and explanations for free.
If you like our product, you can request full access to all the latest Qlik Sense Business Analyst Certification Exam - June 2018 Release (QSBA2018 Deutsch Version) QSBA2018 Deutsch exam premium questions.
| Certification Provider: | Qlik |
|---|---|
| Exam Code / Number: | QSBA2018-Deutsch |
| Exam Name: | Qlik Sense Business Analyst Certification Exam - June 2018 Release (QSBA2018 Deutsch Version) |
| Exam Questions: | 50 |
| Last Updated: | Jul 14, 2026 |
| Corresponding Certification: | Qlik Certification |
Go To QSBA2018 Deutsch Questions
Qlik QSBA2018 : Qlik Sense Business Analyst Certification Exam - June 2018 Release is a certification exam designed to evaluate and certify the skills of business analysts using Qlik Sense. QSBA2018-Deutsch exam is revised and released every year to provide a more up-to-date and relevant assessment of the candidate's abilities. The June 2018 Release of the exam is the latest and most advanced version of this certification.
Qlik Sense Business Analyst Certification Exam - June 2018 Release, commonly known as the QSBA2018 exam, is a certification exam for business analysts who use Qlik Sense as their data analysis tool. QSBA2018-Deutsch exam is designed to test the candidate's knowledge and skills in using Qlik Sense to analyze data, create reports, and make data-driven decisions.
Qlik QSBA2018 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Storytelling and Sharing | 10% | - Sharing insights and apps
|
| Topic 2: Data Loading and Transformation | 20% | - Load Editor usage
|
| Topic 3: Expressions and Calculations | 20% | - Set Analysis and expressions
|
| Topic 4: Data Visualization and App Design | 25% | - Creating and configuring visualizations
|
| Topic 5: Data Modeling | 25% | - Understanding data associations
|