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The Qlik QV12DA (QlikView 12 Data Architect Certification) certification exam is designed for professionals who want to demonstrate their skills and knowledge in data architecture using QlikView 12. QlikView 12 Data Architect Certification Exam certification exam is intended for candidates who have experience in designing, developing, and implementing QlikView data models. The QV12DA certification exam tests the candidate's ability to design, develop, and maintain complex data models and dashboards using QlikView 12.
QlikView QV12DA Exam Overview:
| Certification Vendor: | Qlik |
|---|---|
| Exam Name: | QlikView 12 Data Architect Certification Exam |
| Exam Number: | QV12DA |
| Exam Price: | $250 USD |
| Passing Score: | 70% |
| Exam Format: | Multiple Response, Scenario-based, Multiple Choice |
| Related Certifications: | Qlik Sense Business Analyst (QSBA2018) Qlik Sense Data Architect (QSDA2018) QlikView 12 Developer (QV12DE) |
| Available Languages: | English |
| Real Exam Qty: | 50 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Sample Questions: | QlikView QV12DA Sample Questions |
| Exam Way: | Online proctored exam or at Pearson VUE testing center |
| Pre Condition: | Recommended: 6-12 months hands-on experience with QlikView 12 and completion of QlikView Data Architect training course |
| Official Syllabus URL: | https://www.qlik.com/services/training/certification |
The QV12DA exam is administered by Qlik, a leading provider of business intelligence and data analytics software. QV12DA exam covers a wide range of topics, including data modeling, data integration, data quality, and data governance. It is intended for experienced data architects who have a deep understanding of data management principles and practices. QV12DA exam is designed to be challenging and requires a significant amount of preparation and study.
QlikView QV12DA Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Architecture and Design | 20-25% | - Link tables and concatenated tables - Balance between data model complexity and performance - Understanding dimensional data models - Circular references and solutions - Star schema and snowflake schema design |
| Topic 2: Performance Optimization | 15-20% | - Data model optimization techniques - Table viewer analysis - Memory management - Join types and their impact - Synthetic keys identification and resolution |
| Topic 3: Data Transformation | 20-25% | - Data quality and validation - Cross-tables and pivot tables - Data cleansing techniques - Mapping tables and ApplyMap - Interval matching |
| Topic 4: Data Load Design | 20-25% | - LOAD statements and transformations - QVD files creation and optimization - Handling different data sources - RESIDENT loads and preceding loads - Scripting fundamentals - Incremental load strategies |
| Topic 5: Security and Governance | 15-20% | - Data reduction techniques - Section Access implementation - Security best practices - Field-level and row-level security |
By Elizabeth
