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This exam tests knowledge and understanding of best practices and techniques for monitoring data quality in data integration interfaces. You will be tested in these areas:
- The data quality challenges that are inherent in data integration
- The role of data quality monitoring in data integration
- Techniques for monitoring and managing data quality in batch interfaces
- Data quality rules used to validate data integrity within and across batches
- Data quality rules used to validate master data integrity
- Techniques for design and implementation of statistical change monitors used to identify unexpected changes in source data structure and meaning
The exam consists of 25 carefully crafted questions of different kinds and degrees of difficulty. This removes the element of luck that is common in exams that consist entirely of multiple choice questions. You are required to complete the exam in one sitting in 50 minutes. You are allowed three attempts to achieve a passing score of 70%. Each attempt at an exam, however, will present you with a different set of questions than previous attempts.
The exam is intended to be quite challenging and requires reasonable mastery of the course material. We recommend that you take Ensuring Data Quality in Data Integration course by Arkady Maydanchik and review it multiple times before taking the exam.
Once you pass the exam, you will receive a Certificate of Education documenting that you have demonstrated mastery of the topic. Further, the exam counts towards CIMP – Data Quality and CIMP - MDM certification tracks and can be used as an elective exam in any other CIMP track. Click here to learn more about CIMP.
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