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Certification Path for QSBA2018: Qlik Sense Business Analyst Certification

The exam does not have any certificate pre-requisite but demands the following before a candidate can sit for an exam:

• Ability to architect data to provide optimal performance
• Understand the QVD layer and architecture of the Qlik platform
• Familiar with SQL and relational databases
• Create and use connectors to various data sources
• Basic understanding of Extract-Transform-Load (ETL)
• Practical experience developing multiple production-quality applications in Qlik Sense
• Ability to write Qlik Sense LOAD scripts and validate data

How to book the Qlik Sense Business Analyst QSBA Exam

These are following steps for registering the Qlik Sense Business Analyst, QSBA exam.

• Step 1: Visit to Qlik Exam Registration
• Step 2: Sign up/Login to qlikview pearsonvue account
• Step 3: Select local centre based on your country, date, time and confirm with a payment method.

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Understanding functional and technical aspects of QSBA2018: Qlik Sense Business Analyst Certification Identify Requirements

The following will be discussed in QLIKVIEW QSBA2018 exam dumps pdf:

• Based on business requirements, identify KPIs, dimensions and measures
• Explain Qlik Sense features (e.g., smart search, responsive design, accessibility features, themes, etc.) and how they impact app design
• Consider performance during data loading and application development (removing unused columns, consider calculation condition)
• Describe the differences between the Qlik deployment options
• Identify user types and their typical devices to use to access apps
• Explain and interpret results from Qlik Associative Engine
• Ask appropriate questions to understand the needs of the potential users of the Qlik Sense application
• Based on business requirements, identify Qlik products, needed for the solution (QSE, QDC, QABDI, ODAG, Qlik Core, Attunity, Insight Bot, NPrinting, etc.)
• Identify Qlik Cognitive Engine uses
• Explain the purpose of APIs, server-side extensions (such as R, Python), Qlik GeoAnalytics, web mashups, widgets, section access

Qlik QSBA2018 Deutsch Exam Syllabus Topics: