eLearningCurve

This exam tests knowledge and understanding of data profiling techniques. You will be tested in these areas:

• Data profiling objectives and role in various data-driven initiatives, such as data quality assessment, MDM, data migration, and data integration
• Attribute profiling components, including basic counts, frequency charts, and value distributions
• Techniques for relational integrity profiling
• Techniques for profiling time-dependent data, including timeline profiling, timestamp pattern profiling, and event history profiling
• Advanced data profiling techniques, including profiling state-transition models, subject profiling, and attribute dependency profiling
• Techniques for dynamic data profiling and identifying changes in data structure and meaning over time
• Approaches to gathering data profiles
• How to analyze the data profiling information and ask the right questions about your data

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 Profiling 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, CIMP – Master Data Management, and CIMP – Data Modeling and Metadata Mgmt certification tracks and can be used as an elective exam in any other CIMP track. Click here to learn more about CIMP.