QlikView Practice Exam
The QlikView exam assesses candidates' proficiency in using QlikView, a leading business intelligence (BI) and data visualization platform. QlikView enables users to create interactive dashboards, reports, and data visualizations to analyze and derive insights from large and complex datasets. The exam covers various aspects of QlikView development, including data modeling, scripting, dashboard design, and application deployment. Candidates are tested on their ability to create efficient and intuitive QlikView applications that meet business requirements and enable data-driven decision-making.
Skills Required
- Data Analysis and Interpretation: Ability to analyze and interpret data from multiple sources and transform it into meaningful insights and actionable information.
- QlikView Development: Proficiency in QlikView development tools and techniques, including data modeling, scripting, chart design, and dashboard development.
- Data Visualization: Skills in creating interactive and visually compelling data visualizations, including charts, graphs, tables, and maps, using QlikView's visualization features.
- Business Intelligence Concepts: Understanding of business intelligence concepts, methodologies, and best practices for designing and implementing BI solutions using QlikView.
- Problem-Solving and Troubleshooting: Ability to troubleshoot data quality issues, scripting errors, and performance bottlenecks in QlikView applications and provide effective solutions.
Who should take the exam?
- Business Intelligence Developers: BI developers responsible for designing, developing, and maintaining QlikView applications and dashboards for data analysis and reporting.
- Data Analysts: Data analysts who use QlikView as a tool for data exploration, visualization, and analysis to support decision-making processes within their organizations.
- Business Analysts: Business analysts interested in leveraging QlikView's capabilities to perform ad-hoc analysis, create custom reports, and derive insights from business data.
- IT Professionals: IT professionals involved in implementing, configuring, and managing QlikView deployments within enterprise IT environments.
- Anyone Interested in Data Visualization: Individuals interested in learning data visualization techniques and tools, particularly QlikView, for exploring and communicating data insights effectively.
Course Outline
The QlikView exam covers the following topics :-
Module 1: Introduction to QlikView
- Overview of QlikView as a business intelligence and data visualization platform
- Understanding the QlikView development environment, user interface, and navigation features
- Exploring key QlikView components, such as data models, scripts, sheets, and objects
Module 2: QlikView Data Modeling
- Fundamentals of QlikView data modeling, including data sources, data connections, and data modeling techniques
- Creating and managing QlikView data models using the QlikView script editor and data load editor
- Optimizing data models for performance, scalability, and efficiency in QlikView applications
Module 3: QlikView Scripting Language
- Introduction to QlikView scripting language (QlikView Script), including script syntax, expressions, and functions
- Loading and transforming data from various sources, such as databases, flat files, and web services, using QlikView script
- Handling data cleansing, transformation, aggregation, and manipulation tasks in QlikView script
Module 4: QlikView Dashboard Development
- Principles of QlikView dashboard design, layout, and navigation for creating intuitive and user-friendly applications
- Building interactive and dynamic charts, graphs, tables, and other visualizations in QlikView sheets
- Implementing advanced features, such as bookmarks, selections, and drill-downs, to enhance QlikView dashboards
Module 5: QlikView Data Visualization Techniques
- Using QlikView's visualization features to create compelling data visualizations, including bar charts, line charts, pie charts, scatter plots, and maps
- Applying best practices for data visualization design, color usage, labeling, and annotation in QlikView applications
- Incorporating advanced visualization techniques, such as set analysis, cyclic groups, and alternate states, into QlikView dashboards
Module 6: QlikView Advanced Development
- Advanced QlikView scripting techniques for data manipulation, aggregation, and calculation, including set analysis, advanced expressions, and macros
- Implementing data security, access control, and user authentication mechanisms in QlikView applications
- Integrating QlikView with other systems and applications using QlikView APIs, extensions, and web integration capabilities
Module 7: QlikView Deployment and Administration
- Deploying QlikView applications to production environments, including server installation, configuration, and optimization
- Managing QlikView server resources, licenses, and user access permissions using QlikView Management Console (QMC)
- Monitoring QlikView application performance, usage statistics, and server health using QMC and other monitoring tools
Module 8: QlikView Best Practices and Optimization
- Best practices for QlikView application development, including data modeling, scripting, visualization design, and performance optimization
- Performance tuning techniques for improving QlikView application performance, responsiveness, and scalability
- Troubleshooting common issues, errors, and performance bottlenecks in QlikView applications and deployments