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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:
- Manually create data table in Data Manager (creates Inline Load script)
- Leverage data connections already in Qlik Sense Enterprise
- Define the steps to load and associate data
- Create a basic data model using Data Manager (e.g., spreadsheets, CSV, flat files, QVDs, etc.)
- Apply filters while loading data in Data Manager
- Explain synthetic keys and possible methods of resolution
- Create folder and file data connections
Exam Topics for QSBA2018: Qlik Sense Business Analyst Certification
The following will be discussed in QLIKVIEW QSBA2018 exam dumps:
- Prepare and Load Data
- Develop Application
- Identify Requirements
- Design Application
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Understanding functional and technical aspects of QSBA2018: Qlik Sense Business Analyst Certification Develop Application
The following will be discussed in QLIKVIEW QSBA2018 exam dumps:
- Create master items
- Use custom color in charts (e.g., ColorMix, CSS colors, If statements, etc.)
- Use Advanced Authoring features, e.g., specify a default landing sheet, native container object, etc.
- Set up visualizations with alternate states
- Add dimensions, measures, and objects
- Create a story
- Apply filters and create bookmarks
- Use the latest objects and features in the Visualization Bundle, e.g., trellis chart, Profit & Loss pivot table
- Use Insight Advisor to generate visualizations
- Know what extensions are and when to use them
- Perform tasks around making a production ready application (e.g., create a thumbnail image, appropriate title, etc.)
- Change the grid size after adding objects
- Select appropriate screen layout
- Use chart suggestions to change visualization type
- Use advanced functions like AGGR and set analysis
- Create and use variables
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 write Qlik Sense LOAD scripts and validate data
- Practical experience developing multiple production-quality applications in Qlik Sense
- Understand the QVD layer and architecture of the Qlik platform
- Ability to architect data to provide optimal performance
- Create and use connectors to various data sources
Qlik QSBA2018 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Loading and Transformation | 20% | - Load Editor usage
|
| Topic 2: Data Visualization and App Design | 25% | - Creating and configuring visualizations
|
| Topic 3: Data Modeling | 25% | - Understanding data associations
|
| Topic 4: Data Storytelling and Sharing | 10% | - Sharing insights and apps
|
| Topic 5: Expressions and Calculations | 20% | - Set Analysis and expressions
|






