You can watch the replay for this Geek Sync webcast, Becoming a Better Data Modeler: Part 1 (Data Modeling Certification)l, in the IDERA Resource Center, http://ow.ly/kNco50A4qO3. As a data professional, you know that improving your data modeling skills will help you to increase your productivity and efficiency. And demonstrating your knowledge with a certification can enhance your marketability. In this Geek Sync webinar, Steve Hoberman will go through several sample questions to test your data modeling skills and help you prepare for taking the new Data Modeling Certification (DMC) exam. He’ll explain the answers for each question, with the goal of making you a better data modeler by the end of this session! Speaker: Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his entertaining and interactive teaching style (watch out for flying candy!), and organizations around the globe have brought Steve in to teach his Data Modeling Master Class, which is recognized as the most comprehensive data modeling course in the industry. Steve is the author of nine books on data modeling, including the bestseller Data Modeling Made Simple. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique. He is the founder of the Design Challenges group, Conference Chair of the Data Modeling Zone conferences, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.

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Topics
 Click to edit Master text styles
• Second level
• Third level
− Fourth level
• Fifth level
Becoming a Better Data
Modeler Part 1: Data
Modeling Certification
OCTOBER 10, 2019
Steve Hoberman
me@stevehoberman.com
www.SteveHoberman.com
Why get certified?
More skill, more
people
$$$
Proof
Know what you
don’t know

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https://DataModelingInstitute.com/
About the DMC exam
90 minute exam
10 categories containing 100 subcategories
containing 350 questions
1 question randomly chosen from each
category
Question sequence and answer choices
random
Must score at least 90
Internet, browser, web camera (if not at
conference)

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Process
1. Complete https://datamodelinginstitute.com/register/
2. Start with Assessment to gauge skill level ($0)
3. Purchase ($199)
4. Schedule
5. Go (login, live proctor, cam)
Or take DMC exam at DMZ
(www.DataModelingZone.com)
ERStudioIsAwesome gives 20% off registration!
Passing and not passing
• If you pass
– Onsite certificate received immediately
– Within 24 hours
• Badge
• DMC Wall of Fame
• Registered in DB for verifications
– Will receive certificate in mail within 3 weeks
• If you do not pass
– Second chance free
– If do not pass second time, need to register and pay again

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DMC exam taster
Syntax
Components (entities, relationships, attributes, keys, domains, subtypes)
Process and approach
Conceptual, logical, and physical
Relational and dimensional
Notations
Abstraction
Naming standards
Definitions
Best practices and pitfalls
Syntax
What is another name for a dependent entity?
A. Weak.
B. Outrigger.
C. Junk.
D. Meager.
E. Supertype.
F. Hub.

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Syntax
What is another name for a dependent entity?
A. Weak.
B. Outrigger.
C. Junk.
D. Meager.
E. Supertype.
F. Hub.
Class
Class Code
Class Short Name (AK1:1)
Class Long Name
Class Full Description Text
Student Grade
Student ID (FK)
Class Code (FK)
Semester Code (FK)
Final Grade
Semester
Semester Code
Semester Short Name (AK1:1)
Semester Long Name
Student
Student ID
Student Last Name (AK1:1)
Student First Name (AK1:2)
Student Birth Date (AK1:3)
Student Number (AK2:1)
Student Shoe Size
Student Favorite Ice Cream Flavor Name
Candidate and foreign keys
Student
ID
Class
Code
Semester
Code
Final
Grade
44 M123 Fall14 C
44 M45 Sum14 B
32 B123 Spr13 B
44 C123 Win13 A

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Syntax
What acronym denotes a non-unique index?
A. AK.
B. PK.
C. IE.
D. UF.
E. NU.
F. FK.
Syntax
What acronym denotes a non-unique index?
A. AK.
B. PK.
C. IE.
D. UF.
E. NU.
F. FK.

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CALENDAR
PRODUCT
GEOGRAPHY
Month
Month Sequence Number
Year Code (FK) (AK1:2)
Month Code (AK1:1)
Month Name
Sales
Product Number (FK)
Region Code (FK)
Month Sequence Number (FK)
Gross Sales Amount
Region
Region Code
Country Code (FK)
Region Name (AK1:1)
Product Category
Product Category Code
Product Category Description Text (AK1:1)
Product Line
Product Line Code
Product Category Code (FK)
Product Line Name (AK1:1)
Product
Product Number
Product Line Code (FK)
Product Name (AK1:1)
Product Frozen Indicator (AK1:2) (IE1:1)
Product UPC Code (AK2:1)
Product EAN Number (AK3:1)
Country
Country Code
Country Name (AK1:1)
Country ISO Code (AK2:1)
Year
Year Code
Year Name
Year Sequence Number (AK1:1)
IndexingWhat was our
Gross Sales
Amount for all
Frozen
products from
the NE in
January 2019?
Components
How many candidate keys are on the following entity?
A. Three.
B. One.
C. Two.
D. Zero.
E. Four.
F. Five.
Employee
Employee ID
Employee First Name (AK1:1)
Employee Last Name (AK1:2)
Employee Birth Date (AK1:3)
Employee Number (AK2:1)
Employee Start Date

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Components
How many candidate keys are on the following entity?
A. Three.
B. One.
C. Two.
D. Zero.
E. Four.
F. Five.
Employee
Employee ID
Employee First Name (AK1:1)
Employee Last Name (AK1:2)
Employee Birth Date (AK1:3)
Employee Number (AK2:1)
Employee Start Date
Components
A Calendar dimension has been designed to be used by
multiple applications. Calendar is what type of dimension?
A. Degenerate.
B. Junk.
C. Mini.
D. Conformed.
E. Behavioral.
F. Synched.

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Components
A Calendar dimension has been designed to be used by
multiple applications. Calendar is what type of dimension?
A. Degenerate.
B. Junk.
C. Mini.
D. Conformed.
E. Behavioral.
F. Synched.
Process and approach
Which of the following statements does this model
support?
A. Account 123 is not owned by a Customer.
B. Account 123 is owned by two Customers.
C. Account 123 is owned by one Customer.
D. Account 123 is identified by a Customer.
Customer
Account
Own

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Process and approach
Which of the following statements does this model
support?
A. Account 123 is not owned by a Customer.
B. Account 123 is owned by two Customers.
C. Account 123 is owned by one Customer.
D. Account 123 is identified by a Customer.
Customer
Account
Own
Customer
Account
Own
Each Customer may own one or many Accounts.
Each Account must be owned by one Customer.
Example 1

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Process and approach
Which model supports these statements?
Each Office must contain one or many Managers.
Each Manager may be assigned to zero or one Office.
A.
B.
C.
Contain
0..1 1..*Office Manager
Contain
1..* 0..1Office Manager
Contain
1..1 1..*Office Manager
Process and approach
Which model supports these statements?
Each Office must contain one or many Managers.
Each Manager may be assigned to zero or one Office.
A.
B.
C.
Contain
1..* 0..1Office Manager
Contain
0..1 1..*Office Manager
Contain
1..1 1..*Office Manager

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Conceptual, logical, and physical
Which type of model would MOST LIKELY contain a
many-to-many relationship?
A. CDM.
B. PDM.
C. LDM.
D. UDM.
E. EDM.
F. ADM.
Conceptual, logical, and physical
Which type of model would MOST LIKELY contain a
many-to-many relationship?
A. CDM.
B. PDM.
C. LDM.
D. UDM.
E. EDM.
F. ADM.

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Conceptual, logical, and physical
Which type of model would MOST LIKELY contain a view?
A. CDM.
B. PDM.
C. LDM.
D. UDM.
E. EDM.
F. ADM.
Conceptual, logical, and physical
Which type of model would MOST LIKELY contain a view?
A. CDM.
B. PDM.
C. LDM.
D. UDM.
E. EDM.
F. ADM.

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Relational and dimensional
What is the LOWEST level of normalization violated on
this model?
A. 4NF.
B. 3NF.
C. BCNF.
D. 2NF.
E. 0NF.
F. 1NF.
Employee
Employee ID
Employee First Name (AK1:1)
Employee Last Name (AK1:2)
Employee Birth Date (AK1:3)
Employee Number (AK2:1)
Employee Phone Number 1
Employee Phone Number 2
Employee Phone Number 3
Employee Start Date
Relational and dimensional
What is the LOWEST level of normalization violated on
this model?
A. 4NF.
B. 3NF.
C. BCNF.
D. 2NF.
E. 0NF.
F. 1NF.
Employee
Employee ID
Employee First Name (AK1:1)
Employee Last Name (AK1:2)
Employee Birth Date (AK1:3)
Employee Number (AK2:1)
Employee Phone Number 1
Employee Phone Number 2
Employee Phone Number 3
Employee Start Date

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Relational and dimensional
What is the grain of this meter?
A. Sales.
B. Month Code.
C. Product, Month, and Territory.
D. Sales Amount.
E. Sales Gross Amount and Sales Net Amount.
F. Order Line.
Sales
Product Number
Month Code
Territory ID
Sales Gross Amount
Sales Net Amount
Relational and dimensional
What is the grain of this meter?
A. Sales.
B. Month Code.
C. Product, Month, and Territory.
D. Sales Amount.
E. Sales Gross Amount and Sales Net Amount.
F. Order Line.
Sales
Product Number
Month Code
Territory ID
Sales Gross Amount
Sales Net Amount

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Notations
What is a difference between IE and IDEF1X?
A. IE cannot show weak entities.
B. IDEFIX cannot show weak entities.
C. IE cannot show overlapping subtypes.
D. IDEF1X cannot show overlapping subtypes.
E. IE cannot show associative entities.
F. IDEF1X cannot show associative entities.
Notations
What is a difference between IE and IDEF1X?
A. IE cannot show weak entities.
B. IDEFIX cannot show weak entities.
C. IE cannot show overlapping subtypes.
D. IDEF1X cannot show overlapping subtypes.
E. IE cannot show associative entities.
F. IDEF1X cannot show associative entities.

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Lecture Workshop
Course
Lecture Workshop
Course
IDEF1X subtyping
Complete
Incomplete
Notations
Which of the following is a fact-based modeling notation?
A. FCO-IM.
B. DV.
C. UML.
D. IE.
E. IDEF1X.
F. Barker.

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Notations
Which of the following is a fact-based modeling notation?
A. FCO-IM.
B. DV.
C. UML.
D. IE.
E. IDEF1X.
F. Barker.
Abstraction
A software vendor is modeling a product inventory
application to sell to organizations across many different
industries. Which of the following product models would
work BEST?
Product
Raw Material
Semi-Finished Good
Finished Good
Product
Raw Material
Semi-Finished Good
Finished Good
Contain
Contain
Contain
Product
Contain
Product
Relate with
A B C D

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Abstraction
A software vendor is modeling a product inventory
application to sell to organizations across many different
industries. Which of the following product models would
work BEST?
Product
Raw Material
Semi-Finished Good
Finished Good
Product
Raw Material
Semi-Finished Good
Finished Good
Contain
Contain
Contain
Product
Contain
A B C D
Abstraction
What is a role that a Party can play?
A. Finished Product.
B. Employee.
C. Purchase Order.
D. Arrival Time.
E. Policy.
F. Service.

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Abstraction
What is a role that a Party can play?
A. Finished Product.
B. Employee.
C. Purchase Order.
D. Arrival Time.
E. Policy.
F. Service.
Naming standards
Which of the following is NOT a valid attribute name?
A. Employee Last Name.
B. Employee Number.
C. Employee ID.
D. Employee First Name.
E. Employee.
F. Employee Middle Name.

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Naming standards
Which of the following is NOT a valid attribute name?
A. Employee Last Name.
B. Employee Number.
C. Employee ID.
D. Employee First Name.
E. Employee.
F. Employee Middle Name.
Naming standards
What is an example of camel case?
A. Project_Start_Date.
B. Project-Start-Date.
C. Project Start Date.
D. Project*Start*Date.
E. Project,Start,Date.
F. ProjectStartDate.

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Naming standards
What is an example of camel case?
A. Project_Start_Date.
B. Project-Start-Date.
C. Project Start Date.
D. Project*Start*Date.
E. Project,Start,Date.
F. ProjectStartDate.
Definitions
Which word makes this definition for Employee imprecise?
An Employee is a person who works for our organization and
often receives a salary.
A. Person.
B. Works.
C. Often.
D. Organization.
E. Salary.

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Definitions
Which word makes this definition for Employee imprecise?
An Employee is a person who works for our organization and
often receives a salary.
A. Person.
B. Works.
C. Often.
D. Organization.
E. Salary.
Definitions
“The Customer Identifier is the identifier for the customer” is
what type of definition?
A. Syllogism.
B. Disjunctive.
C. Validity.
D. Pleonasm.
E. Tautology.
F. Inference.

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Definitions
“The Customer Identifier is the identifier for the customer” is
what type of definition?
A. Syllogism.
B. Disjunctive.
C. Validity.
D. Pleonasm.
E. Tautology.
F. Inference.
Best practices and pitfalls
What is wrong with the following model?
A. The foreign key is missing in Customer.
B. The foreign key should be an inversion entry.
C. Account should be a dependent entity.
D. The foreign key should be composite.
E. Customer should be a dependent entity.
F. The foreign key should be required.
Customer
Customer Number NOT NULL
Customer First Name NULL
Customer Last Name NULL
Account
Account Code NOT NULL
Customer Number (FK) NULL
Account Open Date NULL
Own

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Best practices and pitfalls
What is wrong with the following model?
A. The foreign key is missing in Customer.
B. The foreign key should be an inversion entry.
C. Account should be a dependent entity.
D. The foreign key should be composite.
E. Customer should be a dependent entity.
F. The foreign key should be required.
Customer
Customer Number NOT NULL
Customer First Name NULL
Customer Last Name NULL
Account
Account Code NOT NULL
Customer Number (FK) NULL
Account Open Date NULL
Own
F
Driver
Drive License Number NOT NULL
Driver First Name NULL (AK1:1)
Driver Last Name NOT NULL (AK1:2)
Driver Birth Date NOT NULL (AK1:3)
Vehicle
Vehicle Identification Number NOT NULL
Drive License Number (FK) NULL
Vehicle Model Name NOT NULL
Vehicle Series Name NOT NULL
Drive
Best practices and pitfalls
What is wrong with this model?
A. Foreign key is null yet relationship is mandatory.
B. Foreign key is not null yet relationship is optional.
C. You cannot have more than two attributes in an AK.
D. One of the attributes in the AK is null.
E. The foreign key should be part of the primary key.

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Driver
Drive License Number NOT NULL
Driver First Name NULL (AK1:1)
Driver Last Name NOT NULL (AK1:2)
Driver Birth Date NOT NULL (AK1:3)
Vehicle
Vehicle Identification Number NOT NULL
Drive License Number (FK) NULL
Vehicle Model Name NOT NULL
Vehicle Series Name NOT NULL
Drive
Best practices and pitfalls
What is wrong with this model?
A. Foreign key is null yet relationship is mandatory.
B. Foreign key is not null yet relationship is optional.
C. You cannot have more than two attributes in an AK.
D. One of the attributes in the AK is null.
E. The foreign key should be part of the primary key.
Data Modeling Certification
Why
About
Prepare
Maintain
Taste

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Topics
 Click to edit Master text styles
• Second level
• Third level
− Fourth level
• Fifth level
Becoming a Better Data
Modeler Part 1: Data
Modeling Certification
OCTOBER 10, 2019
Steve Hoberman
me@stevehoberman.com
www.SteveHoberman.com