QlikView Qlik Sense Interview Questions and Answers

All 100+ Frequently asking freshers advanced experienced level QlikView/Qlik Sense Interview Questions and Answers

Here’s a comprehensive list of frequently asked interview questions and answers for QlikView and Qlik Sense, covering beginner, intermediate, and advanced levels. These questions span various aspects of both tools, from basic concepts to complex functionalities.

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Beginner Level

1. What is QlikView?

   • QlikView is a Business Intelligence (BI) tool that helps users visualize and analyze data. It enables data discovery through its associative model, allowing for interactive dashboards and reports.

2. What is Qlik Sense?

   • Qlik Sense is a modern BI tool from Qlik that allows users to create interactive visualizations, reports, and dashboards. It offers self-service capabilities and supports associative data exploration.

3. What are the key differences between QlikView and Qlik Sense?

   • QlikView: Traditional tool, requires developer intervention, focuses on pre-built reports and dashboards.
   • Qlik Sense: Modern self-service tool, allows users to create their own reports and visualizations, emphasizes ease of use and interactive exploration.

4. What is a QlikView Data Model?

   • A QlikView Data Model is a structured representation of data from various sources. It defines the relationships between data tables and is used to create interactive reports and dashboards.

5. What are the components of a QlikView application?

   • Data Load Editor: For loading data.
   • Sheet Objects: Visualizations like charts and tables.
   • Script Editor: For scripting and data manipulation.
   • Dashboard: Interactive workspace for users.

6. What is a Qlik Sense App?

   • A Qlik Sense app is a collection of sheets, visualizations, and data connections that users can interact with. It serves as a workspace for data analysis and reporting.

7. What is an associative model in QlikView/Qlik Sense?

   • The associative model allows users to explore data in a non-linear way. It automatically highlights relationships between data points, providing a more intuitive data discovery experience.

8. How do you create a basic chart in QlikView?

   • To create a chart in QlikView, select the desired chart type from the “Chart Wizard” and then define the dimensions and measures. Customize the chart properties and add it to the sheet.

9. What is a dimension and a measure in QlikView/Qlik Sense?

   • Dimension: A categorical field used to segment data (e.g., product categories).
   • Measure: A quantitative field used for calculations (e.g., sales amount).

10. What is a QlikView script?

    • A QlikView script is a set of instructions written in QlikView’s scripting language. It is used to load, transform, and manage data within a QlikView application.

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Intermediate Level

11. How do you perform data loading in QlikView?

    • Data is loaded using the Script Editor. Write a load script to connect to data sources, select fields, and transform data as needed before loading it into the QlikView data model.

12. What is the purpose of the Qlik Sense Data Manager?

    • The Data Manager in Qlik Sense is used for managing and preparing data for analysis. It allows users to load, clean, and transform data through a graphical interface.

13. What are the different types of joins in QlikView?

    • Inner Join: Includes only matching rows from both tables.
    • Left Join: Includes all rows from the left table and matching rows from the right table.
    • Right Join: Includes all rows from the right table and matching rows from the left table.
    • Outer Join: Includes all rows from both tables, with nulls where there is no match.

14. What is a QlikView list box?

    • A list box is a QlikView object that displays a list of values from a field. It allows users to select values and filter data interactively.

15. How do you create a variable in QlikView?

    • Variables can be created in the Script Editor or in the Variable Overview window. Define a variable by assigning it a name and value, and use it in expressions or calculations.

16. Explain the concept of “Set Analysis” in QlikView/Qlik Sense.

    • Set Analysis is a feature used to define a specific subset of data for calculations. It allows users to filter data dynamically and perform comparisons across different sets.

17. What are the types of charts available in Qlik Sense?

    • Bar Chart: Displays data as bars.
    • Line Chart: Shows data trends over time.
    • Pie Chart: Represents data as slices of a pie.
    • Scatter Plot: Displays data points on a coordinate plane.
    • Table: Shows data in a tabular format.

18. How can you perform a data reload in QlikView?

    • Data reload is performed by clicking the “Reload” button in the QlikView Desktop or Publisher, which executes the load script and updates the data model with the latest data.

19. What is the purpose of the QlikView Dashboard?

    • The QlikView Dashboard provides an interactive interface for users to view and analyze data through various visualizations, charts, and reports.

20. How do you handle null values in QlikView/Qlik Sense?

    • Null values can be handled using functions like Alt(), If(), and Coalesce() to provide default values or handle missing data appropriately in expressions and visualizations.

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Advanced Level

21. Explain the QlikView/Qlik Sense data model’s concept of “Star Schema” vs. “Snowflake Schema.”

    • Star Schema: A data model where a central fact table is connected to multiple dimension tables. It is simpler and optimized for query performance.
    • Snowflake Schema: A more complex model where dimension tables are normalized into multiple related tables. It reduces redundancy but may require more complex queries.

22. What is Qlik Sense’s “Associative Engine,” and how does it work?

    • The Associative Engine in Qlik Sense provides an associative data model that links data points across multiple sources. It enables dynamic and interactive data exploration by highlighting relationships and connections.

23. How do you optimize performance in QlikView/Qlik Sense?

    • Performance can be optimized by:
      • Reducing data volume with filters and aggregations.
      • Using efficient data model design (e.g., minimizing synthetic keys).
      • Optimizing load scripts and calculations.
      • Implementing incremental data loading.

24. What is a QlikView “Synthetic Key,” and how can it be avoided?

    • A synthetic key occurs when multiple tables share common fields, leading to an automatic join that can create ambiguous data relationships. To avoid synthetic keys, carefully design data models and use explicit joins or concatenation.

25. Explain the role of “QlikView Server” and “QlikView Publisher.”

    • QlikView Server: Manages user access, data refreshes, and application distribution.
    • QlikView Publisher: Handles scheduled tasks, data reloads, and distribution of QlikView documents to users.

26. What is “Data Security” in QlikView/Qlik Sense, and how is it implemented?

    • Data security involves controlling access to data and visualizations based on user roles and permissions. It is implemented through section access in QlikView and security rules in Qlik Sense.

27. How do you implement “Row-Level Security” in QlikView?

    • Row-Level Security is implemented using section access. Define access restrictions in the load script based on user credentials or roles to control which data rows are visible to specific users.

28. What are the benefits of using Qlik Sense’s “Self-Service Visualization” capabilities?

    • Benefits include:
      • Empowering users to create their own reports and dashboards.
      • Enabling interactive data exploration without relying on IT.
      • Providing flexibility to visualize data according to individual needs.

29. How do you use “Master Items” in Qlik Sense?

    • Master Items are reusable objects such as dimensions, measures, and visualizations. They help maintain consistency across apps and simplify the creation and management of visualizations.

30. What is “Data Profiling” in Qlik Sense, and why is it important?

    • Data profiling involves analyzing and understanding the data’s structure, quality, and content. It is important for identifying data issues, ensuring data accuracy, and improving the quality of visualizations and reports.

31. How do you handle “Performance Tuning” in QlikView applications?

    • Performance tuning involves optimizing data models, scripts, and visualizations. Techniques include reducing data volume, optimizing expressions, avoiding complex calculations in visualizations, and using incremental data loads.

32. What is a “Data Connector” in Qlik Sense, and how is it used?

    • A Data Connector is a tool that allows Qlik Sense to connect to various data sources (e.g., databases, APIs). It is used to import and integrate data into Qlik Sense for analysis and visualization.

33. How do you create and use “Set Analysis” in Qlik Sense?

    • Set Analysis allows users to define specific subsets of data for analysis. It is created using set analysis syntax in expressions to filter data based on conditions and compare different data sets.

34. Explain the concept of “Incremental Load” in QlikView/Qlik Sense.

    • Incremental Load involves loading only the new or changed data since the last load. It improves performance and efficiency by reducing the amount of data processed during each load cycle.

35. What are “Alternate States” in QlikView/Qlik Sense?

    • Alternate States allow users to create multiple, independent states within a QlikView/Qlik Sense application. This enables side-by-side comparisons of different data sets or scenarios without affecting the primary state.

36. How do you implement “Geo-Spatial Analysis” in Qlik Sense?

    • Geo-Spatial Analysis is implemented using map charts and geographic data. Qlik Sense provides integration with mapping services and allows users to visualize data on maps to analyze geographic patterns.

37. What is “Dynamic Data Reduction” in QlikView?

    • Dynamic Data Reduction ensures that users only see data relevant to them based on their access rights. It dynamically adjusts the data available to users based on their roles or permissions.

38. How do you handle “Complex Calculations” in QlikView/Qlik Sense?

    • Complex calculations are handled using expressions in QlikView/Qlik Sense. Use built-in functions, scripting, and aggregations to perform advanced calculations and data transformations.

39. Explain the use of “Data Storytelling” in Qlik Sense.

    • Data Storytelling involves creating interactive visualizations and narratives to communicate insights effectively. Qlik Sense supports data storytelling through features like storytelling sheets and dynamic visualizations.

40. What is the purpose of “Qlik Sense Extensions,” and how are they used?

    • Qlik Sense Extensions are custom visualizations or functionalities that enhance Qlik Sense’s capabilities. They are used to add new chart types, features, or integrations not available in the standard tool.

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Expert Level

41. How do you implement “Custom Calculations” using Qlik Sense’s scripting capabilities?

    • Custom calculations can be implemented using Qlik Sense’s script editor. Define custom fields, aggregations, and transformations in the load script to meet specific analysis needs.

42. What is the “QlikView Server Architecture,” and how does it support scalability?

    • The QlikView Server Architecture includes components such as the QlikView Server, QlikView Publisher, and QlikView Management Console. It supports scalability through load balancing, clustering, and distributed data processing.

43. How do you perform “Cross-Application Analysis” in Qlik Sense?

    • Cross-Application Analysis involves analyzing data from multiple Qlik Sense apps simultaneously. Use Qlik Sense’s data integration and linking features to combine data from different sources for comprehensive analysis.

44. What is “QlikView Distribution Services,” and what role does it play?

    • QlikView Distribution Services (QDS) handles the scheduling, distribution, and reloading of QlikView documents. It automates the process of refreshing and distributing reports to users.

45. How do you manage “Data Integration” across different systems in Qlik Sense?

    • Data integration is managed through Qlik Sense’s data connectors, APIs, and integration services. Use these tools to connect, extract, and integrate data from various systems into Qlik Sense for analysis.

46. Explain the concept of “Event-Based Triggers” in QlikView.

    • Event-Based Triggers are actions that occur automatically based on specific events or conditions (e.g., data load completion). They are used to automate tasks such as data reloads and notifications.

47. How do you use “REST APIs” with Qlik Sense for data integration?

    • REST APIs allow Qlik Sense to interact with external systems for data integration. Use REST APIs to push data into Qlik Sense, retrieve data from Qlik Sense, or automate tasks through external applications.
      
      
      
      
      

48. What are “Advanced Set Analysis” techniques in QlikView/Qlik Sense?

    • Advanced Set Analysis techniques include complex expressions and nested sets to filter data dynamically. Techniques involve using advanced syntax and functions to create sophisticated data analysis scenarios.

49. How do you optimize “Large Data Volumes” in Qlik Sense applications?

    • Optimize large data volumes by:
      • Implementing data reduction techniques.
      • Using incremental loads.
      • Optimizing data models and scripts.
      • Leveraging data compression and aggregation.

50. Explain the role of “Data Warehouse Integration” in QlikView/Qlik Sense.

    • Data Warehouse Integration involves connecting QlikView/Qlik Sense to data warehouses for efficient data retrieval and analysis. It supports large-scale data processing and enables complex reporting and analytics.

51. How do you implement “Advanced Data Security” in Qlik Sense?

    • Advanced data security is implemented through security rules, user access controls, and data masking. Configure security rules to manage user access, data visibility, and ensure data protection.

52. What is “Qlik Sense’s Single Sign-On (SSO),” and how is it configured?

    • Single Sign-On (SSO) allows users to log in once and access multiple applications without re-authenticating. It is configured using SSO protocols like SAML or OAuth and integrating with identity providers.

53. How do you handle “Multi-Source Data Integration” in QlikView?

    • Multi-Source Data Integration is handled by connecting to various data sources (e.g., databases, flat files) and combining data in the QlikView data model. Use the script editor to merge and transform data from multiple sources.

54. What are “Qlik Sense’s Advanced Visualization Techniques,” and how are they applied?

    • Advanced visualization techniques include using custom visualizations, dynamic data updates, and interactive elements. Apply these techniques to create sophisticated and engaging data visualizations.

55. How do you implement “Real-Time Data Analysis” in Qlik Sense?

    • Real-Time Data Analysis is implemented using real-time data connectors, streaming data sources, and real-time data processing features. Set up data connections to receive and analyze data as it is generated.

56. What is the role of “QlikView/Qlik Sense Extension Objects,” and how are they developed?

    • Extension objects are custom visualizations or functionalities developed using JavaScript and HTML. They extend the capabilities of QlikView/Qlik Sense by adding new features or visualizations.

57. How do you use “Custom Expressions” to enhance data analysis in Qlik Sense?

    • Custom expressions allow users to create advanced calculations and aggregations. Use Qlik Sense’s expression editor to define custom formulas, metrics, and data transformations for enhanced analysis.

58. What are “Advanced Data Load Scripts” in QlikView, and how are they used?

    • Advanced data load scripts involve complex data transformations, conditional loading, and advanced data processing techniques. Use these scripts to handle sophisticated data manipulation and integration tasks.

59. Explain the use of “QlikView’s Data Reduction Techniques” in large datasets.

    • Data reduction techniques include filtering, aggregating, and optimizing data to reduce volume and improve performance. Use techniques such as data compression and incremental loading to handle large datasets.

60. How do you implement “User-Specific Data Views” in Qlik Sense?

    • Implement user-specific data views using security rules and section access to control data visibility based on user roles or attributes. Configure access controls to tailor data views for individual users.

61. What is the “Qlik Sense Data Load Editor,” and how does it enhance data preparation?

    • The Data Load Editor is a tool in Qlik Sense for writing and managing load scripts. It enhances data preparation by allowing users to define data connections, transformations, and aggregations through a script-based interface.

62. How do you handle “Data Cleansing” in Qlik Sense applications?

    • Data cleansing involves identifying and correcting data quality issues. Use Qlik Sense’s data load editor to apply transformations, validations, and cleansing rules to ensure data accuracy and consistency.

63. Explain the concept of “Data Lineage” in QlikView/Qlik Sense.

    • Data lineage tracks the origin and flow of data through various stages. It provides visibility into data sources, transformations, and usage, helping ensure data integrity and traceability.

64. How do you implement “Dynamic Data Visualizations” in Qlik Sense?

    • Dynamic data visualizations update automatically based on user interactions or data changes. Use Qlik Sense’s interactive features and dynamic expressions to create visualizations that respond to user inputs and data updates.

65. What are “QlikView’s Calculation Conditions,” and how are they used?

    • Calculation conditions control when and how calculations are performed in QlikView. Use them to define conditions under which certain calculations or expressions should be executed or displayed.

66. How do you manage “Version Control” for QlikView/Qlik Sense applications?

    • Version control is managed by maintaining copies of application files, using version control systems, and documenting changes. Tools like QlikView Management Console (QMC) and Qlik Sense’s built-in versioning features help track and manage versions.

67. What is the “QlikView/Qlik Sense Hub,” and what functionalities does it provide?

    • The Qlik Sense Hub is the central interface where users access their apps, visualizations, and data. It provides functionalities for app management, data exploration, and sharing insights with others.

68. How do you implement “Data Encryption” in QlikView/Qlik Sense?

    • Data encryption is implemented through encryption protocols and settings in QlikView/Qlik Sense. Encrypt data in transit using SSL/TLS and encrypt data at rest using database or file-level encryption.

69. What is “QlikView’s Governance Dashboard,” and how is it used?

    • The Governance Dashboard provides insights into the usage, performance, and management of QlikView applications. It is used to monitor and optimize the deployment and administration of QlikView environments.

70. How do you use “Qlik Sense’s Extension API” to develop custom functionalities?

    • The Extension API allows developers to create custom extensions using JavaScript and HTML. Use it to build custom visualizations, widgets, or functionalities that enhance Qlik Sense’s capabilities.

71. Explain the concept of “Data Aggregation” in QlikView/Qlik Sense.

    • Data aggregation involves summarizing data by grouping and calculating metrics such as sums, averages, and counts. It is used to condense large datasets and provide high-level insights.

72. What is the “QlikView Governance Dashboard,” and how does it help manage applications?

    • The QlikView Governance Dashboard provides visibility into application usage, data connections, and performance. It helps administrators manage and optimize QlikView deployments by tracking application and server metrics.

73. How do you implement “Custom Security Rules” in Qlik Sense?

    • Custom security rules are defined using Qlik Sense’s security rule editor. Create rules to control user access, data visibility, and application permissions based on user roles, attributes, or conditions.

74. What is “QlikView’s Data Compression,” and how does it improve performance?

    • Data compression reduces the size of data stored in QlikView applications, improving performance and reducing memory usage. It is achieved through techniques such as data encoding and compression algorithms.

75. How do you use “Qlik Sense’s Data Load Script” to perform complex data transformations?

    • Use the Data Load Script to perform complex data transformations by writing custom scripts that define data extraction, cleaning, and processing tasks. Leverage scripting functions and commands to handle sophisticated data manipulation.

76. Explain the concept of “Data Synchronization” in Qlik Sense.

    • Data synchronization involves keeping data across multiple Qlik Sense applications or data sources consistent. Use data synchronization techniques to ensure that changes in one data source are reflected in other applications.

77. How do you implement “Advanced Data Modeling” in QlikView/Qlik Sense?

    • Advanced data modeling involves creating complex data structures, relationships, and calculations. Use advanced techniques such as concatenation, mapping, and custom data transformations to build robust data models.

78. What is “Qlik Sense’s Data Storytelling,” and how is it used for presentations?

    • Data storytelling involves creating interactive narratives and visualizations to communicate data insights effectively. Use Qlik Sense’s storytelling features to create engaging presentations that highlight key findings and trends.

79. How do you manage “User Access Controls” in Qlik Sense?

    • User access controls are managed through security rules and user directories. Define roles, permissions, and access levels to control what data and features users can access within Qlik Sense applications.

80. What is “QlikView’s Data Reduction,” and how does it affect performance?

    • Data reduction involves limiting the amount of data loaded or displayed in QlikView to improve performance. Use techniques such as filtering, aggregations, and data compression to reduce data volume and enhance efficiency.

81. How do you use “Qlik Sense’s Analytics Engine” to perform advanced calculations?

    • The Analytics Engine performs calculations and aggregations on data. Use Qlik Sense’s advanced analytics capabilities, such as custom expressions and advanced functions, to perform complex calculations and analysis.

82. Explain the use of “QlikView’s Custom Functions” and how they enhance data analysis.

    • Custom functions are user-defined functions that extend QlikView’s built-in functionality. They enhance data analysis by providing specialized calculations and transformations tailored to specific requirements.

83. What is “Qlik Sense’s Self-Service BI,” and how does it benefit users?

    • Self-Service BI allows users to create their own reports, dashboards, and analyses without relying on IT. It benefits users by providing greater flexibility, autonomy, and faster insights.

84. How do you implement “Real-Time Data Integration” in QlikView?

    • Real-Time Data Integration is implemented using real-time data connectors and data streaming. Set up connections to real-time data sources to analyze and visualize data as it is generated.

85. What is the “QlikView Management Console (QMC),” and what are its key functions?

    • The QlikView Management Console (QMC) is the administrative interface for managing QlikView deployments. Key functions include application management, user access control, server settings, and task scheduling.

86. How do you use “Qlik Sense’s Data Load Editor” for complex data transformations?

    • Use the Data Load Editor to write scripts for complex data transformations. Define data connections, perform ETL (Extract, Transform, Load) tasks, and apply custom logic to prepare data for analysis.

87. What are “QlikView’s Advanced Chart Types,” and when should they be used?

    • Advanced chart types include scatter plots, waterfall charts, and heat maps. They should be used when standard chart types are insufficient for displaying complex data relationships or trends.

88. How do you handle “Data Governance” in Qlik Sense applications?

    • Data governance involves defining and enforcing data management policies and practices. Implement data governance through data quality checks, access controls, and documentation to ensure data integrity and compliance.

89. What is “QlikView’s Data Modeling Best Practices,” and why are they important?

    • Best practices include creating a clear and efficient data model, avoiding synthetic keys, and using efficient joins. They are important for ensuring performance, scalability, and accuracy in data analysis.

90. How do you use “Qlik Sense’s Embedded Analytics” to integrate with other applications?

    • Embedded Analytics allows integrating Qlik Sense visualizations and dashboards into other applications. Use APIs and embed codes to incorporate Qlik Sense content into web applications, portals, or other platforms.

91. What are “QlikView’s Incremental Data Loads,” and how do they improve performance?

    • Incremental Data Loads involve loading only new or updated data, rather than reloading the entire dataset. They improve performance by reducing load times and minimizing data processing overhead.

92. How do you manage “Data Versioning” in Qlik Sense applications?

    • Data versioning involves tracking and managing different versions of data sets or applications. Use version control systems, documentation, and application snapshots to manage data versions effectively.

93. What is “QlikView’s Data Distribution,” and how is it managed?

    • Data distribution involves sharing QlikView reports and dashboards with users. Manage data distribution through QlikView Publisher, which schedules and automates the distribution of documents.

94. How do you use “Qlik Sense’s Data Visualization Best Practices” for effective analysis?

    • Follow best practices such as choosing appropriate chart types, avoiding clutter, using clear labels, and ensuring interactivity. These practices help create effective visualizations that communicate insights clearly.

95. Explain the use of “QlikView’s Scripting Best Practices” for efficient data loading.

    • Scripting best practices include writing modular and reusable scripts, optimizing data transformations, and using efficient load statements. These practices help improve script maintainability and performance.

96. How do you implement “Custom Alerts” in Qlik Sense for monitoring data changes?

    • Custom alerts can be implemented using Qlik Sense’s alerting features or external tools. Define conditions for triggering alerts and configure notifications to monitor data changes effectively.

97. What is the “QlikView User Directory Connector,” and how does it support user management?

    • The User Directory Connector (UDC) integrates with external user directories (e.g., Active Directory) to manage user access and authentication. It supports centralized user management and access control in QlikView.

98. How do you handle “Large Scale Data Processing” in Qlik Sense?

    • Handle large-scale data processing by optimizing data models, using distributed computing, and leveraging data compression techniques. Implement efficient data load and transformation processes to manage large datasets.

99. What is “Qlik Sense’s Data Catalog,” and how does it support data discovery?

    • The Data Catalog is a feature that provides a centralized repository of data assets, including datasets, fields, and visualizations. It supports data discovery by making it easier for users to find and understand available data.

100. How do you implement “User Experience Optimization” in Qlik Sense dashboards? - Optimize user experience by designing intuitive and interactive dashboards, ensuring responsiveness, and providing clear navigation. Use user feedback and testing to refine the dashboard design and functionality.

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