Expected QV12BA Exam Topics, as suggested by Qlik :

• Module 1: Configure dashboards and visualizations to illustrate business insights/ Translate business needs into technical requirements
• Module 2: Apply the steps to create the associative data model using the data manager/ Apply steps to share business insights
• Module 3: Determine which Qlik products and QSE features/methods are needed to meet business requirements
• Module 4: Determine design elements needed for flexibility, ease of use, and maintenance/ Troubleshoot basic data modeling and data issues
• Module 5: Describe how the Qlik Sense capabilities can assist in analysis of data/ Develop Application/ Prepare and Load Data
• Module 6: Determine which visualizations meet business requirements/ Organize the application layout to meet business needs

Expected QSDA2024 Exam Topics, as suggested by Qlik :

• Module 1: Identify Requirements: This section assesses the abilities of data analysts in defining key business requirements. It includes tasks such as identifying stakeholders, selecting relevant metrics, and determining the level of granularity and aggregation needed.
• Module 2: Data Connectivity: This part evaluates how data analysts identify necessary data sources and connectors. It focuses on selecting the most appropriate methods for establishing connections to various data sources.
• Module 3: Data Model Design: In this section, data analysts and data architects are tested on their ability to determine relevant measures and attributes from each data source.
• Module 4: Data Transformations: This section examines the skills of data analysts and data architects in creating data content based on specific requirements. It also covers handling null and blank data and documenting Data Load scripts.
• Module 5: Validation: This section tests data analysts and data architects on how to validate and test scripts and data. It focuses on selecting the best methods for ensuring data accuracy and integrity in given scenarios.

Expected QSDA2022 Exam Topics, as suggested by Qlik :

• Module 1: Determine dimensionality and need for slowly changing dimensionality support/ Determine primary requirements with business users
• Module 2: Determine the correct method to perform script organization and cleansing/ Given a scenario, determine the appropriate method to validate and test data
• Module 3: Given a scenario, identify the appropriate type of data model/ Given a scenario, determine metrics and levels of granularity and aggregation
• Module 4: Given a scenario, determine the appropriate level of security/ Analyze and evaluate null and blank data handling required to support filtering
• Module 5: Given a scenario, determine the data sources and connectors needed/ Analyze relevant variables to build scripts for incremental loading for extract layer
• Module 6: Determine the correct method to document Data Load scripts/ Given a scenario, determine the measures and attributes from each data source
• Module 7: Determine the correct method to optimize the data model for Qlik Sense/ Given a scenario, determine the appropriate method to validate and test scripts
• Module 8: Determine the appropriate method to create connections for data sources/ Determine the correct method to implement data structures efficiently
• Module 9: Determine the correct method for date handling techniques/ Determine the correct method to build data content based on requirements

Expected QSBA2021 Exam Topics, as suggested by Qlik :

• Module 1: Configure dashboards and visualizations to illustrate business insights/ Translate business needs into technical requirements
• Module 2: Determine which Qlik products and QSE features/methods are needed to meet business requirements/ Apply steps to share business insights
• Module 3: Apply the steps to create the associative data model using the data manager/ Describe how the Qlik Sense capabilities can assist in analysis of data
• Module 4: Determine design elements needed for flexibility, ease of use, and maintenance/ Troubleshoot basic data modeling and data issues
• Module 5: Determine which visualizations meet business requirements/ Organize the application layout to meet business needs

Expected QREP Exam Topics, as suggested by Qlik :

• Module 1: Design: For data architects and system designers, this section addresses the requirements for creating and managing endpoints, understanding the architecture, choosing the correct task types and settings, and determining the appropriate transformations for specified needs.
• Module 2: Operations: This section deals with starting and stopping tasks, managing task metadata, and understanding best practices for operational management.
• Module 3: Troubleshooting: For support engineers and troubleshooting specialists, this section covers how to retrieve logs from tasks, configure error handling and debug logs, obtain diagnostic packages, and resolve errors using the attrep_apply_exceptions table.
• Module 4: Administration: For IT administrators and system managers, this section includes identifying server settings, aligning user types with roles, setting up the Enterprise Manager, and outlining various deployment options.