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Exam Objectives:
The QSDA2019 exam focuses on the following objectives: Data Modeling: This objective includes designing, developing, and maintaining efficient and scalable data models to support data analysis and visualization. It also covers data modeling best practices, such as creating optimized data structures, data reduction techniques, and data governance. Data Integration: This objective covers the techniques and methods for integrating data from different sources into QlikView. It also includes best practices for data quality assurance, data profiling, and data cleansing. QlikView Architecture: This objective includes understanding the QlikView architecture, including its components, deployment options, and scalability. It also covers best practices for optimizing performance and managing security. QlikView Deployment: This objective covers the techniques and best practices for deploying QlikView applications, including publishing, distributing, and managing QlikView content. It also includes understanding QlikView licensing and access controls.Exam Details:
Exam Code: QSDA2019 Exam Name: Qlik Sense Data Architect Certification Exam Cost: USD 250 Exam Delivery: Online proctored Exam Format: Multiple choice Number of Questions: 50 Passing Score: 70% Exam Duration: 2 hoursWho should take the exam?
The QSDA2019 exam is designed for professionals who have a deep understanding of QlikView and are responsible for designing and developing QlikView data models and data integration strategies. This includes data architects, BI developers, data analysts, and database administrators.Prerequisites and Qualifications:
To take the QSDA2019 exam, you need to meet the following prerequisites: Complete the Qlik Sense Data Architect course or have equivalent knowledge and experience. Have experience designing and developing data models and data integration strategies using QlikView. Have experience with data analysis, data management, and data warehousing.Related Books:
To prepare for the QSDA2019 exam, you can refer to the following books: QlikView for Developers Cookbook: Discovering QlikView Techniques for Data Analysis and Visualization by Stephen Redmond. QlikView Your Business: An expert guide to Business Discovery with QlikView and Qlik Sense by Oleg Troyansky, Tammy Gibson, and Charlie Leichtweis. QlikView Unlocked: Uncovering the Secrets of Lean Agile Analytics by Roger Stone and Andrew Dove. In conclusion, the QSDA2019 exam is an essential step towards becoming a certified QlikView Data Architect. By understanding the exam objectives, exam details, who should take the exam, and related books, you can prepare effectively for the exam and increase your chances of passing it on the first attempt. Remember to practice with QlikView regularly and use the resources available to you, such as QlikView community forums, documentation, and training courses. Good luck with your exam!Pass the QSDA2019 exam - Guaranteed!
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