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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 write Qlik Sense LOAD scripts and validate data
- Familiar with SQL and relational databases
- Basic understanding of Extract-Transform-Load (ETL)
- Create and use connectors to various data sources
- Practical experience developing multiple production-quality applications in Qlik Sense
- Ability to architect data to provide optimal performance
- Understand the QVD layer and architecture of the Qlik platform
Understanding functional and technical aspects of QSBA2018: Qlik Sense Business Analyst Certification Prepare and Load Data
The following will be discussed in QLIKVIEW QSBA2018 exam dumps:
- Manually create data table in Data Manager (creates Inline Load script)
- Create a basic data model using Data Manager (e.g., spreadsheets, CSV, flat files, QVDs, etc.)
- Apply filters while loading data in Data Manager
- Leverage data connections already in Qlik Sense Enterprise
- Define the steps to load and associate data
- Explain synthetic keys and possible methods of resolution
- Create folder and file data connections
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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:
- 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 user types and their typical devices to use to access apps
- Consider performance during data loading and application development (removing unused columns, consider calculation condition)
- Explain the purpose of APIs, server-side extensions (such as R, Python), Qlik GeoAnalytics, web mashups, widgets, section access
- Explain Qlik Sense features (e.g., smart search, responsive design, accessibility features, themes, etc.) and how they impact app design
- Based on business requirements, identify KPIs, dimensions and measures
- Identify Qlik Cognitive Engine uses
- Describe the differences between the Qlik deployment options
- Explain and interpret results from Qlik Associative Engine