Wondering how to stand out in any business intelligence (BI) interview? Welcome to 'QlikView Interview Questions' - Your Gateway to BI Interview Success. As a professional with real-world QlikView experience, who has also been on both sides of the interview table, I have designed this blog to share curated questions and their practical answers with you.
Mastering tools like QlikView is not only an advantage but a necessity to remain ahead as well. Whether you're a budding analyst, a seasoned data professional, or preparing for that career-defining interview, this blog is your go-to resource for navigating the QlikView interview landscape with confidence.
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This section is curated for beginners to go through the basic QlikView interview questions with relevant answers.
Qlik developed and introduced QlikView as a Business Intelligence (BI) and data visualization tool. This tool is designed to assist in analyzing data and making empowered decisions. With QlikView, users can create visually appealing reports, charts, data-driven applications and dashboards by loading data from different sources and transforming it into valuable information.
Here are the main features of QlikView -
| Feature | QlikView | Qlik Sense |
| Visualization | Manual Layout Design | Modern UI and auto responsive |
| Scripting | Effective scripting control | Also supports scripting |
| Interface | Developer-driven and desktop based | User-friendly and web based. |
| Self Service | Limited | Strong Focus |
Here is the difference between them -
In QlikView, a List Box is a standard component that shows the different values found in a field. Users can pick items from the box to filter the data shown in their dashboard, which helps them look at and study the data.
QlikView dashboards are documents that hold different sheet objects with data from the QlikView script. These dashboards show values from multiple fields at the same time, letting users look at and break down data in different ways using different sheet objects.
In QlikView, delimited files, where data fields are separated by characters like commas, semicolons, or tabs, are supported. These files, also called comma-separated values (CSV) files, use the '.csv' extension and can store quite a bit of data in a simple text format, making them useful for importing data into QlikView.
There are several ways to bring data into QlikView. Here are some common approaches:
QlikView's Associative Model is a key element that distinguishes it from conventional business intelligence tools. It gives users the ability to explore and analyze data freely, without the constraints of predefined joins or strict paths.
QlikView automatically links tables if they share field names; this is part of its core design. But, if fields with identical names contain different data, this automatic linking can cause errors in the dashboard.
This section compiles up the most asked intermediate-level QlikView interview questions.
Use the CONCATENATE, JOIN, or create a composite key manually (e.g., CustomerID & '-' & ProductID AS CompositeKey) depending on the business need, rather than simply renaming fields to break the association.
QVDs are used for data caching, reusability, and performance. A multi-tier architecture typically includes:
Incremental loading can be implemented using a combination of QVD files and timestamps or unique IDs to load only new or changed data. The typical steps are:
// Load new records NewData: LOAD * FROM SourceTable WHERE ModifiedDate > LastLoadedDate; // Load existing data OldData: LOAD * FROM Data.qvd (qvd); // Combine and store Concatenate(NewData) STORE OldData INTO Data.qvd (qvd); |
To handle circular references, I would go with the following.
A mapping table has two columns: one for assessment values and another for desired mappings. These tables are stored in memory for the duration of script execution and are then automatically removed. Mapping tables in QlikView are used to create lookup tables for replacing or adding values during data load. They're loaded with the MAPPING keyword and applied using APPLYMAP().
MapDept: MAPPING LOAD DeptID, DeptName FROM Dept.qvd (qvd); LOAD EmpID, APPLYMAP('MapDept', DeptID, 'Unknown') AS DeptName FROM Employee.qvd (qvd); |
| Sum({<OrderDate={'2023-Q1'}>} Sales) |
| Sum({} Sales) - Sum({} Sales) |
The following are the things that I use to improve performance -
I will use the following-
Alternate States allow independent selections in different charts. Useful for:
Section Access is used for row-level security. Example:
Read Also- QlikView vs Qlik Sense - Key Differences
This section is for experienced individuals to get familiar with more advanced QlikView interview questions.
Discuss using a 3-tier architecture (Raw, Transform, Presentation), QVD layering, star schema or snowflake design, and techniques to handle large datasets like incremental load, data reduction, and optimizing joins.
Explain use of:
Give specific examples:
Large pivot tables are slowing down -> pre-aggregated QVDs
Complex IF conditions -> moved to script
Huge synthetic keys -> resolved via composite keys or link tables
Large dataset reloads -> implemented incremental loads
Here are the methods given below-
I would go with the following steps-
I will consider the following-
I implemented a complex Set Analysis to show high-value customer sales (>$10,000), for the last 3 months, excluding internal purchases and fixed to a specific region, regardless of user selection:
Sum({ Region={'North'}, OrderDate={">=$(=AddMonths(Max(OrderDate), -3))<=$(=Max(OrderDate))"}, Sales={"=Sales > 10000"}> } Sales) |
Answer Tip:
Answer Tip:
Answer Tip:
Read Also- Top Career Opportunities in Business Intelligence (BI)
This section lists the most asked QlikView Server Admin interview questions and answers. These are based on robust, specially curated for individuals who want to become admins.
What It Tests:
Understanding of Publisher task execution, scheduling, dependencies, and logging.
Answer Tip -
Discuss reviewing the task logs in the QlikView Management Console (QMC), checking for resource constraints, dependencies, or network issues. You can mention configuring email alerts, analyzing Reload and Distribution logs, and using Task Chaining with proper retry logic.
What It Tests:
Knowledge of architecture, clustering, and user load management.
Answer Tip:
Describe setting up QlikView Web Server (QVWS) behind a load balancer, and configuring clustered QVS nodes to share applications and licenses. Emphasize the importance of shared storage (SAN/NAS), centralized QVD repositories, and synchronizing configuration files.
What It Tests:
Understanding of license models (CAL types) and user management.
Answer Tip:
Explain the use of Document CALs or Session CALs for temporary users, and automating Named CAL cleanup via scripts or manually using QMC to unassign inactive users. Mention license lease expiration and automated user access tracking.
What It Tests:
Proactive administration and analytics.
Answer Tip:
Mention:
What It Tests:
Security awareness in deployment and configuration.
Answer Tip:
Talk about:
Here are the top 7 key differences between QlikView and Tableau in table format:
| Aspect | QlikView | Tableau |
| 1. User Interface | Script-based and developer-focused | Drag-and-drop, user-friendly for business users |
| 2. Data Model | Uses an associative data model for in-memory exploration | Uses a relational model based on SQL-style joins |
| 3. Visualization | Good but limited in customization | Superior and interactive visualizations |
| 4. Learning Curve | Steeper due to scripting and technical setup | Easier for beginners and non-technical users |
| 5. Deployment | Primarily on-premises | Available on-premises and cloud (Tableau Server/Online) |
| 6. Target Audience | IT professionals and data developers | Business users, analysts, and executives |
| 7. Data Integration | Powerful in-memory processing, less intuitive live connections | Strong support for both live and in-memory data sources |
This section lists some of the most asked scenario-based QlilView interview questions and answers for experienced professionals. These are asked to examine your experience and expertise in real-world applications.
Incremental loads only capture new records, so corrected historical data is missed. To handle this, I would reload a rolling historical window, such as the last 30–60 days, along with new data. Another approach is to track record updates using a modified timestamp and reload those changed records into the QVD. This ensures accuracy without performing a full reload every time.
I would analyze object-level performance to identify heavy charts and expressions. Complex calculated dimensions and set analysis often cause slowness. I would move complex logic to the load script, reduce calculated dimensions, and simplify expressions. I would also review the data model for unnecessary associations or high-cardinality fields that may impact performance.
Set Analysis is evaluated before user selections, which is why it can ignore filters. To resolve this, I would avoid locking fields unnecessarily in the set expression or use $::FieldName where dynamic behavior is required. If real-time interaction is needed, I would replace Set Analysis with conditional expressions using IF(), which respect user selections.
Circular references occur when multiple association paths exist between tables. I would identify redundant keys using the data model viewer and remove or rename unnecessary fields. If the relationship is valid, I would introduce a link table or restructure the model into a star schema. This removes ambiguity and improves model stability.
This usually happens due to mismatched field values between Section Access and the data model. Section Access values are case-sensitive and must match exactly. Missing SECTION APPLICATION or incorrect reduction fields can also cause this issue. Verifying field names and data consistency usually resolves the problem.
As QlikView is a mature platform, experienced professionals are increasingly tasked with integration, governance and migration planning. These questions test your strategic knowledge in a modern enterprise environment. Let’s explore some of them:
Migration is a multi-step process, which includes:
1. Discovery and Assessment (analyzing app complexity, data model, and usage)
2. Data Migration (moving data sources and QVDs to the Cloud data integration layer)
3. Script Conversion (re-using the existing load script, which is often directly compatible)
4. Interface Redesign (rebuilding the front-end visualizations in the self-service, responsive Qlik Sense UI).
Managing a mixed environment requires a strategy focused on data and security standardization. I would establish a central, cloud-based repository for master QVD files and standardized load scripts, which are consumed by both QlikView and Qlik Sense. Section Access must be consistently applied using a shared security table. The goal is to ensure data consistency so that both platforms report the same metrics for the same selections.
Example: Using a dedicated 'Master QVD Layer' in a shared location ensures that both platforms pull data from the same trusted source.
Consistency is achieved by ensuring that QlikView only consumes data that has been processed and sanctioned by the MDM system. This means all master data tables must be sourced from a single, trusted data pipeline, which is typically the Transform Layer of a multi-tier QVD architecture. The QlikView load script should strictly enforce the use of these master data QVDs for standard dimensions and attributes.
The QDF is a structured, template-based approach to application development. Its role is to enforce governance by providing a standardized folder structure, reusable load script templates (using include files), and predefined conventions for logging and error handling. This standardization drastically improves maintainability, simplifies developer onboarding, and makes applications more resilient to changes across Development, Test, and Production environments.
Example: QDF separates the application into dedicated QVS files for data extraction, transformation, and presentation. This ensures consistent enforcement of the 3-Tier Architecture.
QlikView's primary limitation is its reliance on the QlikView Desktop Client for development and a less responsive interface for end-users, making the mobile experience poor. For modern needs, I would propose Qlik Sense as the primary alternative. Qlik Sense is web-based, HTML5-native, and auto-responsive, allowing visualizations to scale seamlessly across any device, supporting both mobile and easy embedding into custom web portals or other applications via its APIs.
QlikView remains a useful business intelligence tool, especially for finding data and creating interactive dashboards. Whether you are new, have some experience, or are an expert, knowing the basics, like the associative model, good ways to model data, and how to manage QlikView Server, is important for job interviews. Study well using questions based on possible situations, concentrate on current practical uses, and show that you can consider things from both technical and business points of view.
QlikView interviews usually involve three to five rounds. These rounds often cover technical skills, management aptitude, and HR evaluations.
Having some scripting knowledge, like SQL, can help with QlikView job interviews, mostly for people applying for developer positions.
QlikView interview difficulty depends on the job role and years of experience. Expect interviews to be somewhere between moderately challenging to very challenging, especially for advanced positions.
Qlik Cloud is a modern, cloud-based analytics platform, while QlikView is an older, desktop-based BI tool mainly used by developers to build guided dashboards.
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