Qlik Certifications & Qualifications

Validate your knowledge and skills in Qlik Sense, QlikView, data analytics, and data literacy

Certifications vs. Qualifications

Certifications are expert-level exams on Qlik Sense, QlikView, data literacy, and data analytics. Qualifications are fundamental-level exams designed for Qlik Sense users only.

Preparing for your Exam

For each exam below, attain the experience listed under “Exam Prerequisites,” familiarize yourself with all of the “Recommended Preparation Resources,” and take training to get hands-on experience. Finally, use “Exam Topics” as a study guide - these are the topics used to write the exam questions!

Managing Credentials

Use Qlik CertTracker to view and manage your Qlik product certifications. You will be given access to Qlik CertTracker when you create an account on the Pearson VUE website. After you pass an exam, access Qlik CertTracker to download the official certification logo, print your certificate, and share your credentials with a third party.

For Qlik Sense Qualifications, Data Literacy and Data Analytics certifications, your certificates and badges are stored in your profile in Qlik Continuous Classroom.

Data Literacy Certification

The Data Literacy Certification Exam is a product-agnostic exam which measures your ability to interpret business requirements; understand and transform data; design, build, and interpret visualizations; and analyze, act on, and share results. This exam has 70 multiple-choice questions to answer in 2.5 hours.

  • Prerequisites

    Open
    Close

    The certification is designed to test the minimally qualified candidate within the world of data literacy. Those desiring to take the exam should have backgrounds or skills within data and analytics, allowing them to be qualified to take this exam. Those specific skills are the ability to read data with comfort, understanding what the data is saying, and being able to interpret data when presented to them. Second, the ability to work with data. Working with data means an individual is comfortable working with data sets, visualizations, and analysis. Third, an individual should be comfortable analyzing data. Analyzing data involves skills in asking questions, tying back to business objectives, and finding trends and patterns within the data. Finally, an individual should be able to argue with data, creating positions and then backing it up with data. Along with these four key characteristics, individuals should have skills in data-informed decision making, eliminate personal bias, and follow iterative analysis through the four levels of analytics: descriptive, diagnostic, predictive, and prescriptive.

  • Recommended Preparation Resources

    Open
    Close
    • Qlik Continuous Classroom:
      • All courses in the Overview of Data Literacy section
      • All courses in the Data Fundamentals section
      • All courses in the Data-Informed Decision Making section
      • Under the Foundational Analytics section, the Understanding Signal and Noise and Correlation vs Causation courses
    • Book: The Functional Art by Alberto Cairo
    • Book: Data Visualization by Andy Kirk
  • Exam Topics

    Open
    Close

    Interpret Business Requirements

    • Discuss business requirements for feasibility to implement
    • Change a business question into an analytical question
    • Explain data sources and refresh frequency needed to implement requirements
    • Discuss KPIs, dimensions, and measures for analysis

    Understand and Transform the Data

    • Explain various data types and implications for analysis
    • Compare various classifications of data
    • Explain data structure and implications for analysis
    • Explain subset of data needed for analysis using coding terminology
    • Contrast data schemas and how they impact analyses
    • Use basic statistics
    • Explain aggregations needed for analysis
    • Contrast types of distributions and explain implications in analysis
    • Assess the need for data governance and security
    • Transform data structure

    Design and Build Visualizations

    • Use appropriate visualizations and level of complexity for audience
    • Use appropriate measurements Use appropriate properties of visualizations
    • Arrange visualizations to engage audience and enable analysis

    Interpret Visualizations

    • Determine whether visualization is valid and can answer the analytical question
    • Interpret visualizations to create observations
    • Explain outliers, trends, and relationships between data elements
    • Recommend a theory, then validate or invalidate it

    Analyze Results

    • Break down thoughts and ideas into a cohesive and logical analysis plan
    • Analyze data and visualizations iteratively
    • Examine your point of view for objectivity
    • Evaluate different perspectives
    • Question visualizations to develop insights
    • Test for correlations and causations in the data
    • Examine the data and visualizations with curiosity

    Act on Results

    • Decide the insights gained from analysis
    • Recommend actions based on analysis
    • Predict potential consequences of actions to minimize unintended consequences
    • Assess actual results of actions
    • Analyze feedback and determine adjustments needed for analysis

    Share Results

    • Summarize audience member types and what they care about
    • Justify your analysis, observations, and insights
    • Justify your conclusions, recommendations, and proposed actions with confidence
    • Evaluate and incorporate feedback into action plan
    • Use information ethically and appropriately

Data Analytics Certification

The Data Analytics Certification Exam measures your analytic and statistics knowledge, from a basic to advanced level. The exam is product-agnostic and covers four categories of analytics: Data Foundations, Foundational Analytics, Interpretation of Analytics, and Advanced Analytics. Recommended for Data Analysts and Data Scientists.

  • Prerequisites

    Open
    Close

    The Data Analytics Certification Exam measures your technical ability within the world of data, analytics, data science, and data literacy. The exam covers technical aspects of statistics and analytics, including the ability to use data visualizations appropriately. To be prepared for this examination, individuals should have an understanding of the following elements:

    • Data Fundamentals
    • Analytical Testing
    • Basic and Intermediate Statistics
    • Hypothesis Testing
    • Data Visualizations
    • Decision Making with Statistics and Analytics
  • Recommended Preparation Resources

    Open
    Close

    Qlik Continuous Classroom:

    • All courses in the Overview of Data Literacy section
    • All courses in the Data Fundamentals section
    • All courses in the Foundational Analysis section
    • All courses in the Data-Informed Decision Making section
    • All courses in the Advanced Analytics section

    Since there are many topics covered in this comprehensive exam, additional resources are recommended, for example the podcast, Data Skeptic.

  • Exam Topics

    Open
    Close

    Data Foundations

    • Back-End: Data Architect
    • Database Design
    • Data Basics
    • Types - Ordinal, Cardinal, etc.
    • Attributes
    • Forms
    • Normalization/Optimization
    • Big Data

    Foundational Analytics

    • Aggregations
    • Distribution Analysis
    • Standard Deviation
    • Correlation and Causation
    • Signal and Noise
    • Probability
    • Sampling
    • Decision Tree Modeling
    • Goodhart’s Law

    Interpretation of Analytics

    • Hypothesis Testing
    • Type I/II Errors
    • Visualization Interpretation
    • Descriptive Statistics
    • Bias
    • Histogram/Box Plots
    • Inferential Statistics

    Advanced Analytics

    • K-Means Clustering
    • Markov Analysis
    • Regression Modeling
    • T-Test
    • Chi-Square Test
    • AB Testing
    • Algorithms
    • ANOVA

Qlik Sense Business Analyst Certification

The Qlik Sense Business Analyst Certification Exam measures your ability to identify requirements, design applications, prepare and load data, and develop applications. This exam has 50 multiple-choice questions to answer in 2 hours.

  • Prerequisites

    Open
    Close
    • Practical experience developing production-quality applications in Qlik Sense
    • Experience creating dimensions, measures and objects for the master library
    • Understands user experience and design best practices and has experience building visualizations.
  • Exam Topics

    Open
    Close

    Identify Requirements (20% of the exam)

    • Describe benefits of Qlik Sense features (e.g., smart search, responsive design, green-white-gray-light gray, APIs, extensions, web mashups, bookmarks, and stories)
    • Evaluate business requirements for feasibility to implement within the Qlik platform
    • Based on requirements identify the KPIs, dimensions, and measures
    • Select security options to meet business requirements

    Design Applications (22% of the exam)

    • Determine visualizations needed to meet business requirements
    • Determine methods needed to meet business requirements
    • Determine sheets needed to meet business requirements
    • Select the order of sheets within the application to provide an overall flow for user

    Prepare and Load Data (18% of the exam)

    • Identify data sources required to meet the business requirements
    • Determine the steps and options to create a basic data model using the data manager
    • Given a scenario, troubleshoot basic data modeling issues

    Develop Applications (40% of the exam)

    • Create applications using the available visualization design tools
    • Use appropriate calculated fields, dimensions, and master items based on the design
    • Identify options for implementing calculations within the application
    • Apply the steps to build bookmarks and stories
    • Distinguish editing capabilities between a published and unpublished application
    • Determine the source of rendering issues in applications

Qlik Sense Data Architect Certification

The Qlik Sense Data Architect Certification Exam measures your ability to identify requirements for data models, design and build data models, and validate the data. This exam has 50 multiple-choice questions to answer in 2 hours.

  • Prerequisites

    Open
    Close
    • Practical experience developing multiple production-quality applications in Qlik Sense
    • Ability to write Qlik Sense LOAD scripts and validate data
    • Basic understanding of Extract-Transform-Load (ETL)
    • Create and use connectors to various data sources
    • Understand the QVD layer and architecture of the Qlik platform
    • Ability to architect data to provide optimal performance
    • Familiar with SQL and relational databases
  • Exam Topics

    Open
    Close

    Identify Requirements for Data Models (16% of the exam)

    • Identify the data load and refresh requirements (e.g., tiered architecture, multiple data sources, varying refresh times)
    • Given a scenario, identify Qlik Sense features to meet customer needs (e.g., associative data model, master items, ODAG, GeoAnalytics)
    • Outline steps to implement security requirements

    Design Data Models (28% of the exam)

    • Determine an appropriate data model design to meet customer needs
    • Decide on an appropriate data model that prioritizes reuse, scalability, and efficiency (e.g., tiered architecture, data governance)
    • Determine how to manage complex scenarios (e.g., calendar, set analysis, flags, functions)

    Build Data Models (34% of the exam)

    • Create data models (e.g., join, keep, resident load, where clause, incremental load, purge strategy, variable)
    • Given a scenario, use data transformation techniques with both data load editor and data manager
    • Manage security using section access
    • Use the Qlik Converter to migrate QlikView documents to Qlik Sense applications
    • Use appropriate data connections

    Validate Data (22% of the exam)

    • Validate data models against source information using Qlik Sense visualizations
    • Resolve data modeling issues (e.g., synthetic keys, circular references, scripting errors, debugging)
    • Resolve data issues (e.g., null values, data formatting)

Qlik Sense System Administrator Certification

The Qlik Sense System Administrator Certification Exam measures your ability to identify requirements for environments, install and set up Qlik Sense Enterprise, manage environments, and monitor and troubleshoot. This exam has 50 multiple-choice questions to answer in 2 hours.

  • Prerequisites

    Open
    Close
    • At least 6 months experience as an administrator of a Microsoft Windows Server-based environment
    • Experience working with Qlik Sense sites and the Qlik Management Console, to provide data and application governance, library maintenance, as well as user and application security
    • Experience managing the policies and options that run the Qlik Sense servers and apps
    • Experience creating rules and managing the visualization streams
    • Knowledge of networking and Active Directory configuration, proxies, intermediate web servers, load balancers, etc.
    • Familiarity with Windows tools and logs created (e.g., Event Viewer, Services Console, DCOM Console, Windows Registry)
    • Experience using NSLookUp, Telnet, Ping, NetStat, Fiddler, and other browser tools to troubleshoot connectivity, interoperability, configuration, performance, etc.
  • Exam Topics

    Open
    Close

    Identify Requirements for the Qlik Sense Environment (14% of the exam)

    • Evaluate environment options for a Qlik Sense deployment based on requirements
    • Given a scenario, ensure Qlik Sense has access to required data sources
    • Understand how to configure network access
    • Determine the correct authentication and authorization method based on requirements

    Install and Set Up Qlik Sense Enterprise (26% of the exam)

    • Given a scenario, decide how to configure user access to Qlik Sense
    • Configure user directory connectors and schedule synchronizations
    • Determine the appropriate Qlik Sense proxy configuration
    • Make decisions about loading and organizing apps into streams
    • Demonstrate an understanding of how to deploy single- or multi-node architectures
    • Determine the type of scheduler needed to support tasks

    Manage the Environment (40% of the exam)

    • Configure tasks
    • Given a scenario, determine the load balancing configuration
    • Given a scenario, determine how to configure data connectors
    • Manage content libraries
    • Install and manage extensions
    • Perform backup and restore procedures
    • Perform upgrade procedures
    • Given a scenario, determine the appropriate security rule

    Monitor and Troubleshoot the Environment (20% of the exam)

    • Given a scenario, determine the appropriate monitoring tools or logs to troubleshoot Qlik Sense Enterprise environments
    • Use the audit functionality
    • Given a scenario, find the root cause of issues in Qlik Sense environments

Qlik Sense Business Analyst Qualification

The Qlik Sense Business Analyst Qualification measures your fundamental skills and applied knowledge. It requires you to build a Qlik Sense application and complete a multiple-choice question exam. You will have 1 hour 15 minutes to complete this exam.

NOTE: This is not our expert-level certification, see the Qlik Sense Certifications tab on this page.

  • Prerequisites

    Open
    Close
  • Exam Topics

    Open
    Close
    • Describe the various views in Qlik Sense
    • Demonstrate navigating between different views
    • Explain the value of stories
    • Demonstrate building stories
    • Describe circumstances in which to use stories
    • Describe the use of effects in stories
    • Identify the components of an app
    • Demonstrate creating basic sheets
    • Examine and conduct an analysis in an app
    • Tell a simple story
    • Describe how to create a bookmark
    • Describe elements saved in a bookmark
    • Manage bookmarks
    • Search for and apply bookmarks
    • Explain the value of creating master items
    • Explain the process to create master items
    • Analyze data for other users
    • Demonstrate configuring master dimensions
    • Compare the 'Add data' and 'Data load editor' options
    • Compare the app sections for loading data into an app
    • Demonstrate loading tables from multiple data sources
    • Explain how key fields are identified and associations created
    • Use various chart types
    • Select the appropriate chart type
    • Apply visual analysis features
    • Distinguish between Qlik Sense Enterprise, Qlik Sense Desktop, and Qlik Sense Cloud
    • Determine which features are locked upon publishing
    • Describe the value of sharing apps in Qlik Sense Cloud
    • Describe the benefits of 'in-memory' data
    • Reload data in Qlik Sense Desktop
    • Explain data reload tasks in Qlik Sense Enterprise
    • Describe the benefits of the associative selection model
    • Demonstrate selecting data in visualizations
    • Describe the benefits of the selections bar and selections tool
    • Explain the uses and benefits of snapshots
    • Demonstrate taking a snapshot
    • Use snapshot annotations
    • Demonstrate managing the snapshot library
    • Demonstrate adding a snapshot to a story
    • Explain the difference between dimensions and measures
    • Apply dimensions and measures to visualizations
    • Determine which chart type to use based on dimensions and measures
    • Demonstrate configuring alternative dimensions and measures
    • Identify the various types of searches
    • Explain what is searched for each type
    • Demonstrate the various types of searched

Qlik Sense Data Architect Qualification

The Qlik Sense Data Architect Qualification measures your fundamental skills and applied knowledge. It requires you to build a Qlik Sense application and complete a multiple-choice question exam. You will have 1 hour 30 minutes to complete this exam.

NOTE: This is not our expert-level certification, see the Qlik Sense Certifications tab on this page.

  • Prerequisites

    Open
    Close
  • Exam Topics

    Open
    Close
    • Describe the various views in Qlik Sense
    • Evaluate when to use the 'Add data' option or the data load editor
    • Demonstrate loading tables from multiple data sources
    • Explain how key fields are identified and associations created
    • Demonstrate using the data model viewer to evaluate the underlying data
    • Explain the capabilities of the data manager view
    • Explain how the data manager creates and edits data load script
    • Demonstrate accessing and using association recommendations
    • Describe the purpose of the data load script
    • Apply techniques resolve data issues
    • Demonstrate creating a connection to a database
    • Use various database file connection options
    • Use the data connections during execution
    • Evaluate associations created by aliasing fields in the data load script
    • Describe a table loading structure
    • Demonstrate transforming data using expressions
    • Evaluate scenarios in which to use a stacked preceding load
    • Determine causes of synthetic keys in a data model
    • Recommend solutions for resolving synthetic keys
    • Recommend solutions for resolving circular references
    • Demonstrate creating concatenated keys
    • Demonstrate fully qualifying field names
    • Examine solutions to script errors using the debugging tool
    • Demonstrate locating and identifying errors in the data load script
    • Demonstrate creating a data comparison table in a data model
    • Demonstrate creating a validation object in an app
    • Use counter fields for row counting
    • Appreciate what is meant by 'in-memory' data
    • Describe how data reload tasks are handled in Qlik Sense Enterprise
    • Explain visibility of variables in an INCLUDE statement
    • Demonstrate creating a custom sort order with INLINE statement
    • Demonstrate creating a subset table with RESIDENT statement
    • Determine when to create a dedicated calendar dimension
    • Demonstrate creating a master calendar table
    • Evaluate the various methods of combining tables
    • Demonstrate various types of table concatenation
    • Demonstrate various types of joins
    • Evaluate scenarios for using mapping tables
    • Demonstrate loading data from Qlik DataMarket into a data model
    • Evaluate the changes to the data load script when using Qlik DataMarket
    • Explain the value of creating master items
    • Explain the process to create master items

QlikView Business Analyst Certification

The QlikView Business Analyst Certification Exam measures your knowledge of interface design of QlikView applications. This certification is recommended for all roles involved in the analysis, design and layout of the QlikView application user interface. This exam 50 multiple-choice questions to answer in 2 hours.

  • Prerequisites

    Open
    Close
    • Fundamental knowledge of Business Intelligence, reporting and data analysis
    • Practical experience working with QlikView to design applications
    • Visualization and user interface design experience
  • Exam Topics

    Open
    Close

    Gather and Interpret Requirements (12% of the exam)

    • Given a set of business objectives, determine KPIs, dimensions, or measures

    Identify and Analyze Data Sources (12% of the exam)

    • Given a dataset, determine the relationships among data

    Design and Develop the QlikView Application User Interface (76% of the exam)

    • Determine the result of a given function or complex expression
    • Identify where alternate uses of expressions are appropriate
    • Given a scenario, determine the appropriate function or complex expression to use
    • Explain how to implement Actions/Triggers in the QlikView interface
    • Given a scenario, determine the appropriate object or chart type to use
    • Explain the purpose/functionality of common object properties
    • Given a scenario, determine the appropriate application User Interface performance tuning option to use
    • Given user requirements, identify the appropriate screen resolution

QlikView Data Architect Certification

The QlikView Data Architect Certification Exam measures your knowledge of technical aspects of QlikView application development, including design, data modeling and scripting. This certification is recommended for all roles involved in developing, deploying and supporting QlikView applications. This exam has 60 multiple-choice questions to answer in 2 hours.

Passing the QlikView Data Architect Certification Exam grants you BOTH the QlikView Data Architect and QlikView Business Analyst certifications.

  • Prerequisites

    Open
    Close
    • Advanced knowledge of Business Intelligence, reporting and data analysis
    • Knowledge of SQL and/or other scripting languages, data modeling, data visualization and advanced QlikView functions
    • Practical experience working with QlikView to design and develop applications
    • User interface design experience
  • Exam Topics

    Open
    Close

    Gather and Interpret Requirements (8% of the exam)

    • Given a set of business objectives, determine KPIs, dimensions, or measures
    • Given customer requirements, determine an appropriate solution to meet the customer needs

    Identify and Analyze Data Sources (18% of the exam)

    • Given a data set, identify quality issues
    • Determine the expected effects of data quality issues
    • Given a data set, determine how the data characteristics at the field level will affect the QlikView data model (e.g., performance, accuracy)
    • Interpret an entity relationship (ER) diagram
    • Given a data set, determine the relationships among data
    • Given a data set, determine how the relationships among data will affect the QlikView data model (e.g., performance, accuracy)

    Create the QlikView Associative Data Model (39% of the exam)

    • Explain methods and considerations for connecting to different types of data sources
    • Describe the circumstances under which different load strategies should be used
    • Explain the circumstances under which QVD files and/or n-tiered data architectures should be recommended
    • Describe the use and properties of fact tables and dimension tables
    • Explain load techniques relevant to data transformation
    • Explain the use of QlikView functions to transform data
    • Explain how to resolve complex calendar scenarios
    • Explain the use and effects of different types of joins
    • Given business requirements, determine appropriate section access configuration
    • Given a scenario, determine how to resolve table association issues (e.g., synthetic keys/circular references, data types)
    • Explain the use of control statements and/or variables
    • Explain the purpose and functionality of the Table Viewer/System Fields
    • Determine the root cause for discrepancies between values in legacy reports and QlikView values
    • Explain the purpose and functionality of QlikView troubleshooting tools or functions
    • Given a script, determine the cause and/or solution for a script error

    Design and Develop the QlikView Application User Interface (25% of the exam)

    • Determine the result of a given function or complex expression
    • Identify where alternate uses of expressions are appropriate
    • Given a scenario, determine the appropriate function or complex expression to use
    • Explain how to implement Actions/Triggers in the QlikView interface
    • Given a scenario, determine the appropriate object or chart type to use
    • Explain the purpose/functionality of common object properties
    • Given a scenario, determine the appropriate application performance tuning option to use
    • Given a scenario, determine the appropriate reload performance tuning option to use

    Deliver the QlikView Application (10% of the exam)

    • Describe how to give the user information or direction for using the application
    • Explain the purpose and functionality of the QV Server and Publisher
    • Determine the circumstances under which particular client types can be used

QlikView System Administrator Certification

The QlikView System Administrator Certification Exam measures your knowledge of managing a QlikView Server and Publisher environment;including, your ability to install and configure QlikView Server and Publisher, perform administrative tasks, and troubleshoot problems and errors.This exam 60 multiple-choice questions to answer in 2 hours.

  • Prerequisites

    Open
    Close
    • Fundamental knowledge of Business Intelligence, reporting, data analysis
    • Practical experience working with the QlikView product suite, specifically the Server and Publisher components
    • Knowledge and experience with Microsoft Windows Server based environments
  • Exam Topics

    Open
    Close

    Install and Configure the Environment (22% of the exam)

    • Explain the purpose of different QlikView services
    • Determine the appropriate service installation to meet customer requirements
    • Determine how to share system resources between QlikView services
    • Determine the implications and outcomes of a specific configuration

    Administer the Environment (35% of the exam)

    • Differentiate between functionality of licensed and unlicensed Publisher
    • Determine the appropriate task type to meet customer requirements
    • Determine an appropriate method to monitor tasks
    • Given a scenario, determine the appropriate options for configuring a task
    • Given a scenario, determine the appropriate CAL type to use and describe methods to apply CAL types
    • Describe how to proactively manage QlikView platform infrastructure
    • Determine an approach to proactively manage Windows platform infrastructure (e.g. IIS, event logs, folder permissions)

    Troubleshoot the Environment (43% of the exam)

    • Identify an error based on log file information
    • Determine the appropriate steps to identify issues (e.g., user reported, dialog box)
    • Determine the cause of common performance issues
    • Determine the appropriate system resource allocation to meet requirements
    • Determine an appropriate strategy to resolve a performance issue
    • Determine the cause of an environmental issue
    • Describe how to handle client-server communication problems