Understanding functional and technical aspects of QSBA2018: Qlik Sense Business Analyst Certification Develop Application

The following will be discussed in QLIKVIEW QSBA2018 exam dumps:

• Select appropriate screen layout
• Know what extensions are and when to use them
• Use Insight Advisor to generate visualizations
• Use advanced functions like AGGR and set analysis
• Set up visualizations with alternate states
• Use chart suggestions to change visualization type
• Use custom color in charts (e.g., ColorMix, CSS colors, If statements, etc.)
• Change the grid size after adding objects
• Use Advanced Authoring features, e.g., specify a default landing sheet, native container object, etc.
• Use the latest objects and features in the Visualization Bundle, e.g., trellis chart, Profit & Loss pivot table
• Create a story
• Apply filters and create bookmarks
• Add dimensions, measures, and objects
• Create master items
• Create and use variables
• Perform tasks around making a production ready application (e.g., create a thumbnail image, appropriate title, etc.)

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:

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

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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:

• Create folder and file data connections
• Explain synthetic keys and possible methods of resolution
• Leverage data connections already in Qlik Sense Enterprise
• Apply filters while loading data in Data Manager
• Define the steps to load and associate data
• Create a basic data model using Data Manager (e.g., spreadsheets, CSV, flat files, QVDs, etc.)
• Manually create data table in Data Manager (creates Inline Load script)

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