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INMT 443 Exam 1. Questions and Answers 100% Correct

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Exam of 17 pages for the course INMT at INMT (INMT 443 Exam 1.)

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INMT 443 Exam 1

Sequence Check - answer The control number flows sequentially and any sequence or
duplicated control numbers are rejected or noted on an exception report. For example,
invoices are numbered sequentially. The day's invoices begin with 12001 and end with
15045. If any invoice larger than 15045 is encountered during processing, the invoice is
rejected as an invalid invoice number.

Limit check - answer Data should not exceed a predetermined amount. For example,
payroll checks should not exceed $4,000. If a check exceeds this amount, the data
would be rejected for further verification.

Range check - answer Data should be within a predetermined range of values. For
example, product type codes range from 100 to 250. Any code outside this range
should be rejected as an invalid product type.

Validity check - answer Programmed checking of the data validity in accordance with
predetermined criteria. For example, a payroll record contains a field for marital status
and the acceptable status codes are M or S. If any other code is entered, it should be
rejected.

Reasonableness check - answer Input data are matched to predetermined reasonable
limits or occurrence rates. For example, a widget manufacturer usually receives orders
for no more than 20 widgets. If an order for more than 20 widgets is received, the
program should output a warning.

Table lookups - answerInput data comply with predetermined criteria maintained in a
computerized table of possible values. For example, the input clerk enters a city code of
1 to 10. This number corresponds with a computerized table that matches to a city
name.

Existence check - answerData are entered correctly and agree with valid predetermined
criteria. For example, a valid transaction code must be entered in the transaction code
field.

Key verification - answerThe keying process is repeated by a separate individual using
a machine that compares the original keystrokes to the repeated keystrokes. For
example, the worker number is keyed twice and compared to verify the keying process.

Check digit - answerA numeric value that has been calculated mathematically is added
to data to ensure that the original data have not been altered or incorrect.

,Completeness check - answerA field should always contain data rather than zeros or
blanks. A check of each byte of that field should be performed to determine that some
form of data, not blanks or zeros, is present. For example, a worker number on a new
employee record is left blank. This is a key field, and the request would be rejected if left
blank.

Duplicate check - answerNew transactions are matched to those previously input to
ensure that they have not already been entered. For example, not paying a vendor
invoice twice.

Logical relationship check - answerIf a particular condition is true, then one or more
additional conditions or data input relationships may be required to be true and consider
the input valid. For example, the hire date of an employee may be required to be more
than 16 years past his date of birth.

< or > - answerStrictly less than or greater than

<= or >= - answerless/greater than or equal

= - answerequal

<> - answernot equal

Is - answerCompares two object reference variables

& - answerconcatenate

Logical AND - answerAll conditions are true

Logical OR - answerAt least one condition is true

Logical XOR - answerOne and only one condition is true

Logical NOT - answerCondition is not true

Logical BETWEEN - answerUpper and lower range, be careful to ensure the upper and
lower limit are included if you want them to be

Object - answerProgramming constructs that encapsulate data, behavior, and identity.
Object data is contained in the fields, properties, and events of the object, and object
behaviors are defined by the methods and interfaces of the object.

A combination of code and data that can be treated as a unit. An object can be a piece
of an application, like a control or a form. An entire app can be an object.

Classes are cookie cutters, objects are cookies.

, Objects have identity — two objects with the same set of data are not necessarily the
same object. (e.g. two blank worksheets)

Objects are categorized into classes (definition forthcoming)
Each individual object is an instance of a class
Example - an individual employee

Encapsulation - answerThe characteristic of object-orientation in which data and
behavior are bundled into a class and hidden from the outside world.

Sometimes referred to as data hiding, it is the technique of making the fields in a class
private (so that the data can only be seen by the class that owns it).

Access to the data and behavior (methods) is provided and controlled through an
objects interface. This prevents the code and data being randomly accessed by other
code defined outside the class.

Class - answerEach individual object in VB is defined by a class. A class describes the
variables, properties, procedures, and events of an object. Objects are instances of
classes; you can create as many objects you need once you have defined a class.

Classes are cookie cutters, objects are cookies.

A class is a group of objects that share the same attributes, operations, relationships,
and semantics.
Objects of different data types do not belong to the same class.
You can think of a class as an object oriented template. A class defines the data and
behavior. Programmers use a class as a template to create objects. The objects are
instances of this class and inherit the class data and behaviors.
Example - employee class made up of individual employee objects

Instantiation - answerThe process of creating an instance of an object.

Dim variablename As [New] { objectclass | object}

Load a form = instantiate a form, then you instantiate controls

Collection - answerA collection is a group of items with the same characteristics, often a
group of objects of the same class.

Using a collection provides a convenient way to refer to a group of objects and
collections as a single object.

Example of iterative processing w/ collection:

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