We're so confident of our products that we provide no hassle product exchange.
DAMA DQ-1220 Exam Overview:
| Certification Vendor: | DAMA International |
| Exam Name: | Data Quality |
| Exam Number: | DQ-1220 |
| Related Certifications: | CDMP - Certified Data Management Professional |
| Exam Price: | USD $400 (Full CDMP exam) |
| Available Languages: | English |
| Exam Format: | Multiple Choice |
| Certificate Validity Period: | No expiration for CDMP certificate (requires continuing education/renewal credits) |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 80 |
| Passing Score: | 70% |
| Exam Way: | Online proctored or Onsite testing center |
| Pre Condition: | No formal prerequisites; recommended experience in data management |
| Official Syllabus URL: | https://dama.org/certification/ |
As the world becomes more and more data-driven, ensuring the quality of the data is becoming increasingly important. The Data Management Association International (DAMA) has developed a certification program, known as the DAMA DQ-1220 exam, to test individuals' knowledge and skills in the area of data quality.
To prepare for the DAMA DQ-1220 certification exam, candidates should have a solid understanding of data quality principles and best practices. They should also be familiar with various data quality tools and techniques used in the industry. There are several study resources available, including study guides, online courses, and practice exams, that can help candidates prepare for the exam and increase their chances of success.
DAMA DQ-1220 certification exam is one of the most sought-after certifications for professionals who want to excel in the field of data quality management. DQ-1220 exam is designed to test the knowledge and skills of individuals in the area of data quality, which is critical in the success of any organization. Data Quality certification is offered by the Data Management Association (DAMA) and is recognized globally as a benchmark for data quality expertise.
DAMA DQ-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Quality Fundamentals | 20% | - Data Quality in the Data Lifecycle - Dimensions of Data Quality (completeness, accuracy, consistency, timeliness, validity) - Definition of Data Quality |
| Data Quality Assessment and Measurement | 25% | - Metrics and KPIs - Root Cause Analysis - Benchmarking - Profiling Techniques |
| Data Quality Governance | 15% | - Data Quality Roles and Responsibilities - Continuous Monitoring - Policies and Procedures - Data Stewardship |
| Data Quality Improvement | 20% | - Data Enrichment - Data Cleansing Techniques - Standardization - Validation Rules |
| Data Quality Frameworks and Standards | 20% | - Other Industry Standards - ISO 8000 (Data Quality) - DAMA DMBOK Framework |
By Eunice
