Overview of the Data Quality Exam
The CDMP Data Quality examination evaluates Data Stewards, Data Architects, and Business Intelligence professionals on the practical implementation of DAMA-DMBOK frameworks for governing enterprise information assets. Candidates must demonstrate proficiency in profiling methodologies, root-cause analysis, and the operationalization of data cleansing workflows within relational databases, cloud-native storage environments, and master data management platforms. The assessment covers technical strategies for metadata repository management, statistical anomaly detection, and the architectural integration of validation rules within ETL/ELT pipelines. Mastery of data lineage tracking, quality maturity modeling, and the alignment of regulatory compliance metrics with technical data architecture remain essential for achieving professional certification.