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What is the cost of QSBA2018: Qlik Sense Business Analyst Certification

The cost of QSBA2018: Qlik Sense Business Analyst Certification is $250.

• Length of Examination: 120 minutes
• Number of Questions: 50
• Format: Multiple choices, multiple answers

Exam Topics for QSBA2018: Qlik Sense Business Analyst Certification

The following will be discussed in QLIKVIEW QSBA2018 exam dumps:

• Identify Requirements
• Prepare and Load Data
• Develop Application
• Design Application

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

The following will be discussed in QLIKVIEW QSBA2018 exam dumps:

• Leverage appropriate method for data comparisons (filters, bookmarks, alternate states, set analysis)
• Distinguish between situations when data security requirements need to use section access or security rules
• Understand when and why to use an alternate chart recommendation
• Identify the proper expression to create the appropriate visualization to meet the business requirements
• Design the order of the sheets in an application to provide an overall flow matching the expectations of the user journey (DAR concept)
• Based on the business requirements and desired insight, determine the optimal number of charts, correct chart type, order of dimensions, use of color, and measures
• Explain the impact of using mobiles devices on app design
• Select object types appropriate for the required data analysis (e.g., a line chart to show a trend over time)

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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.)
• Based on business requirements, identify KPIs, dimensions and measures
• Describe the differences between the Qlik deployment options
• 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
• Identify Qlik Cognitive Engine uses
• Explain Qlik Sense features (e.g., smart search, responsive design, accessibility features, themes, etc.) and how they impact app design
• Identify user types and their typical devices to use to access apps
• Explain and interpret results from Qlik Associative Engine