Qlik View Business Analyst Certification Practice Exam

The Qlik View Business Analyst Certification validate s your skills and knowledge in using QlikView to create data visualizations and dashboards. The certification attest to your skills to use QlikView for data analysis, to derive actionable insights and make data-driven decisions. The certification includes data loading, modeling, and visual presentation, effectively using QlikView's powerful analytics capabilities to solve business challenges.
Why is Qlik View Business Analyst Certification important?

• Validates expertise in data visualization and analysis using QlikView.
• Enhances career prospects in data analytics and business intelligence roles.
• Demonstrates a strong understanding of QlikView's functionalities and best practices.
• Helps organizations identify qualified analysts capable of driving data-driven decision-making.
• Contributes to professional credibility and recognition within the Qlik community.

Who should take the Qlik View Business Analyst Certification Exam?

• Business Analyst
• Data Analyst
• Business Intelligence Analyst
• Data Visualization Specialist
• QlikView Developer

Skills Evaluated

Candidates taking the certification exam on the Qlik View Business Analyst Certification is evaluated for the following skills:

• Data loading and preparation techniques
• Data modeling and schema design
• Creation of visualizations and dashboards
• Application of QlikView expressions and scripting
• Understanding of best practices for data analysis
• Ability to interpret and present data insights effectively

Qlik View Business Analyst Certification Certification Course Outline
The Qlik View Business Analyst Certification Certification covers the following topics -

• Qlik Sense Views
• The 'Add data' option or the data load editor
• Loading tables from multiple data sources
• Identify and associations created for key fields
• Assess the underlying data with the data model viewer
• The data manager view
• Create and edit data load script by the data manager
• Access and use association recommendations
• The data load script
• Resolve data issues
• Show creating a connection to a database
• Database file connection options
• The data connections during execution
• Associations by aliasing fields in the data load script
• A table loading structure
• Transforming data using expressions
• Scenarios using a stacked preceding load
• Causes of synthetic keys in a data model
• Resolving synthetic keys
• Resolving circular references
• Creating concatenated keys
• Fully qualifying field names
• Resolve script errors by the debugging tool
• Locate and identify errors in the data load script
• Data comparison table in a data model
• Create a validation object in an app
• Counter fields for row counting
• 'In-memory' data
• Data reload tasks in Qlik Sense Enterprise
• Variables visibility in an INCLUDE statement
• Custom sort order with INLINE statement
• Subset table with RESIDENT statement
• Create a dedicated calendar dimension
• Create a master calendar table
• Methods of combining tables
• Types of table concatenation
• Types of joins
• Using mapping tables
• Load data from Qlik DataMarket into a data model
• Data load script changes with Qlik DataMarket
• Creating master items