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Qlik-Sense-Business-Analyst Exam Format | Qlik-Sense-Business-Analyst Course Contents | Qlik-Sense-Business-Analyst Course Outline | Qlik-Sense-Business-Analyst Exam Syllabus | Qlik-Sense-Business-Analyst Exam Objectives

Exam Name: Qlik Sense Business Analyst Certification

Exam Format: Multiple-choice, multiple-response, and scenario-based questions

Number of Questions: ~40-60 questions

Duration: ~60-90 minutes (varies by exam version)

Passing Score: ~70% (may vary)

Delivery Method: Online proctored or at a Pearson VUE test center



- Based on business requirements, identify Qlik products, needed for the solution (QSE, QDC, QABDI, ODAG, Qlik Core, Attunity, Insight Bot, NPrinting, etc.)

- Explain Qlik Sense features (e.g., smart search, responsive design, accessibility features, themes, etc.) and how they impact app design

- Describe the differences between the Qlik deployment options

- Based on business requirements, identify KPIs, dimensions and measures



- Ask appropriate questions to understand the needs of the potential users of the Qlik Sense application

- Identify user types and their typical devices to use to access apps

- Explain the purpose of APIs, server-side extensions (such as R, Python), Qlik GeoAnalytics, web mashups, widgets, section access

- Explain and interpret results from Qlik Associative Engine

- Identify Qlik Cognitive Engine uses

- Consider performance during data loading and application development (removing unused columns, consider calculation condition)



- Create a basic data model using Data Manager (e.g., spreadsheets, CSV, flat files, QVDs, etc.)

- Define the steps to load and associate data

- Apply filters while loading data in Data Manager

- Manually create data table in Data Manager (creates Inline Load script)

- Explain synthetic keys and possible methods of resolution

- Create folder and file data connections

- Leverage data connections already in Qlik Sense Enterprise



- Based on the business requirements and desired insight, determine the optimal number of charts, correct chart type, order of dimensions, use of color, and measures

- Design the order of the sheets in an application to provide an overall flow matching the expectations of the user journey (DAR concept)

- Select object types appropriate for the required data analysis (e.g., a line chart to show a trend over time)

- Understand when and why to use an alternate chart recommendation

- Identify the proper expression to create the appropriate visualization to meet the business requirements



- Explain the impact of using mobiles devices on app design

- Leverage appropriate method for data comparisons (filters, bookmarks, alternate states, set analysis)

- Distinguish between situations when data security requirements need to use section access or security rules

- Add dimensions, measures, and objects

- Use the latest objects and features in the Visualization Bundle, e.g., trellis chart, Profit & Loss pivot table

- Use Advanced Authoring features, e.g., specify a default landing sheet, native container object, etc.

- Set up visualizations with alternate states



- Change the grid size after adding objects

- Create and use variables

- Use custom color in charts (e.g., ColorMix, CSS colors, If statements, etc.)

- Know what extensions are and when to use them

- Create a story

- Create master items



- Apply filters and create bookmarks

- Use advanced functions like AGGR and set analysis

- Perform tasks around making a production ready application (e.g., create a thumbnail image, appropriate title, etc.)

- Use Insight Advisor to generate visualizations

- Use chart suggestions to change visualization type

- Select appropriate screen layout







- Understanding Qlik Senses associative model

- Differences between QlikView and Qlik Sense

- Qlik Sense deployment options (Qlik Sense Desktop, Enterprise, Cloud)

- Qlik Sense Hub and its components (Sheets, Stories, Apps)

- Data model optimization techniques



- Associative Engine – Qliks in-memory data indexing technology

- In-memory processing – Data loaded into RAM for fast analysis

- QIX Engine – The underlying engine powering Qlik Sense

- QMC (Qlik Management Console) – Admin tool for managing Qlik Sense Enterprise

- Qlik Sense Hub – Central interface for accessing apps and visualizations



- Loading data from various sources (Excel, CSV, SQL, Web, REST APIs)

- Using the Data Load Editor and Script Editor

- Understanding ETL (Extract, Transform, Load) processes

- Optimizing data models (Star Schema, Snowflake Schema, Synthetic Keys, Circular References)

- Handling incremental loads and partial reloads

- Using variables and parameters in scripts



- Data Load Script – Script used to extract and transform data

- Resident Load – Loading data from an already loaded table

- Concatenate – Combining tables with similar fields

- Qualify / Unqualify – Handling field name conflicts

- Synthetic Key – An automatically created key due to multiple linking fields

- Circular Reference – A loop in table relationships



- Best practices for dashboard design

- Choosing the right chart types (Bar, Line, Pie, Scatter, Gauge, KPI, etc.)

- Using Master Items (Dimensions, Measures, Visualizations)

- Creating interactive filters (List Box, Dropdown, Slider, Search)

- Implementing Set Analysis for advanced filtering

- Using Bookmarks and Selections for user navigation



- Master Items – Reusable dimensions, measures, and visualizations

- Set Analysis – Advanced filtering syntax (e.g., ={$})

- Alternate States – Multiple selection states in the same app

- Bookmark – Saved selection state for quick access

- Storytelling – Creating guided analytics narratives



- Writing expressions using Aggregation Functions (Sum, Avg, Min, Max, Count)

- Using Conditional Functions (If, Pick, Match, etc.)

- Implementing Advanced Aggregations (Set Analysis, Aggr())

- Working with Date and Time Functions

- Creating Calculated Dimensions and Calculated Fields



- AGGR() – Nested aggregation function

- Set Analysis – Dynamic filtering in expressions (e.g., Sum({$} Sales))

- Calculated Dimension – A dimension derived from an expression

- Measure – A calculated metric (e.g., Sum(Sales))

- Variables – Storing reusable expressions (e.g., vTotalSales = Sum(Sales))



- Understanding Section Access for row-level security

- User roles in Qlik Sense (Admin, Developer, Analyst, User)

- Managing security rules in QMC (Qlik Management Console)

- Best practices for app security and governance

- Section Access – Script-based row-level security

- Data Reduction – Limiting data visibility based on user roles

- Stream – A folder-like structure for organizing apps

- Task – Scheduled reloads and distribution tasks



- Identifying and resolving performance bottlenecks

- Optimizing data models (reducing synthetic keys, minimizing joins)

- Using Qlik Sense Performance Analyzer

- Best practices for script optimization

- RAM Utilization – Monitoring memory usage

- Cache Management – Handling cached data for faster reloads

- QVD (Qlik Data File) – Optimized Qlik-native data storage format

- Partial Reload – Updating only changed data



- Publishing apps to the Qlik Sense Hub

- Sharing insights via Stories and Snapshots

- Exporting data and visualizations (Excel, PDF, Image)

- Using Qlik Sense Mobile for on-the-go analytics

- Publish – Making an app available to end-users

- Snapshot – A static image of a visualization with current selections

- Mashups – Embedding Qlik Sense apps in external websites

- Qlik Sense Mobile – Accessing dashboards on mobile devices

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