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.
Certification Exam details
Duration: 120 minutes
Number of questions: 50
Passing score: 65%
Exam content is updated periodically. The number and difficulty of questions may change. The passing score is adjusted to maintain a consistent standard.
Recommended experience
Advanced knowledge of Business Intelligence, reporting, and data analysis Knowledge of SQL 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
Preparation
Instructor-Led Training:QlikView Designer, QlikView Developer Self-paced Training Business Analyst, Data Architect Additional recommended training: Advanced Topics in Design and Development Free: QlikView Data Architect Certification Practice Questions
Badge
After passing this certification exam, you are awarded the QlikView Data Architect Certification badge. To learn more about the criteria for earning this badge, visit our Credly badging page.
Certification Exam topics
Gather and Interpret Requirements (8% of the exam)
Determine KPIs, dimensions, or measures. Determine an appropriate solution to meet the customer's needs.
Identify and Analyze Data Sources (18% of the exam)
Identify quality issues. Determine the expected effects of data quality issues. Determine how the data characteristics at the field level will affect the QlikView data model (for example, performance and accuracy). Interpret an entity relationship (ER) diagram. Determine the relationships among data. Determine how the relationships among data will affect the QlikView data model (for example, performance and 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 you should use different load strategies. Explain the circumstances under which you should recommend QVD files and n-tiered data architectures. 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. Determine appropriate section access configuration. Determine how to resolve table association issues (for example, synthetic keys/circular references and data types). Explain the use of control statements and variables. Explain the purpose and functionality of the Table Viewer and 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. Determine the cause and 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. Determine the appropriate function or complex expression to use. Explain how to implement Actions and Triggers in the QlikView interface. Determine the appropriate object or chart type to use. Explain the purpose and functionality of common object properties. Determine the appropriate application performance tuning option to use. 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 you can use particular client types.
