eLearningCurve

This exam tests knowledge and understanding of processes and practical challenges of data quality assessment. You will be tested in these areas:

• Data quality assessment objectives, value, and approaches
• Data quality assessment project steps
• Various categories of data quality rules, including attribute domain constraints, relational integrity constraints, rules for historical data, rules for state-dependent objects, and general attribute dependencies
• Approaches to discovery, implementation, and fine-tuning of the data quality rules
• The structure of rule catalogue and error catalogue
• The architecture and applications of the data quality scorecard
• Approaches to recurrent data quality assessment

The exam consists of 30 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 60 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 Data Quality Assessment 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 certification track and can be used as an elective exam in any other CIMP track. Click here to learn more about CIMP.