QV12DA Exam Dumps
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| Certification Provider: | QlikView |
|---|---|
| Exam Code / Number: | QV12DA |
| Exam Name: | QlikView 12 Data Architect Certification Exam |
| Exam Questions: | 70 |
| Last Updated: | Jun 27, 2026 |
| Corresponding Certification: | QlikView Certification |
(396 Up Votes)Earning the Qlik QV12DA certification demonstrates a high level of expertise and knowledge in using QlikView 12 as a data analysis tool. It is an industry-recognized certification that can help data architects to advance their careers and enhance their professional credibility. Furthermore, it demonstrates a commitment to staying up-to-date with the latest trends and technologies in data analysis and data architecture.
Passing the QV12DA exam is a significant achievement for data architects, as it demonstrates their expertise in using QlikView 12 to manage and analyze data. QlikView 12 Data Architect Certification Exam certification is recognized by employers and organizations around the world, and it can open up new career opportunities for certified professionals. It also provides a valuable credential for data architects who are seeking to advance their careers and take on new challenges in the field of data management.
The QV12DA certification exam consists of 50 multiple-choice questions that evaluate the technical skills of the candidate in designing and creating data models using QlikView 12. QV12DA exam tests the knowledge of the candidate in QlikView's data modeling concepts like data architecture, data modeling, and scripting. It also assesses the candidate's ability to work with data visualization tools, data source connectivity, and user interface creation.
QlikView QV12DA Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization | 15-20% | - Memory management - Data model optimization techniques - Table viewer analysis - Join types and their impact - Synthetic keys identification and resolution |
| Data Load Design | 20-25% | - LOAD statements and transformations - RESIDENT loads and preceding loads - Scripting fundamentals - QVD files creation and optimization - Incremental load strategies - Handling different data sources |
| Data Architecture and Design | 20-25% | - Balance between data model complexity and performance - Link tables and concatenated tables - Star schema and snowflake schema design - Understanding dimensional data models - Circular references and solutions |
| Data Transformation | 20-25% | - Cross-tables and pivot tables - Interval matching - Data cleansing techniques - Data quality and validation - Mapping tables and ApplyMap |
| Security and Governance | 15-20% | - Security best practices - Section Access implementation - Field-level and row-level security - Data reduction techniques |