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This exam tests understanding and knowledge of criteria and processes for evaluation of data model quality. You will be tested in these areas:
- Importance of an objective data model scorecard
- Categories that make up the data model scorecard including correctness, completeness, structural soundness, flexibility, standards, readability, and model consistency
- Differences in evaluation approaches for subject area models, logical data models, and physical data models
- Techniques to strengthen data models, including model reviews, model substitutes (screens, prototypes, sentences, spreadsheets and reports), and the use of automated tools
The exam consists of 20 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 40 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 The Data Model Scorecard course by Steve Hoberman 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 Modeling certification track and can be used as an elective exam in any other CIMP track. Click here to learn more about CIMP.
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Additional Information |
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Number of Questions:
20
Time Limit:
40 Minutes
Passing Score:
70%
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