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Homework answers / question archive / Harvard University AUDIT 111 Chapter 8-Data Structures and CAATTs for Data Extraction TRUE/FALSE 1)The database approach to data management is sometimes called the flat file approach
Harvard University
AUDIT 111
Chapter 8-Data Structures and CAATTs for Data Extraction
TRUE/FALSE
1)The database approach to data management is sometimes called the flat file approach.
3. When a large portion of the file is to be processed in one operation such as payroll, sequential data structures are an inefficient method of organizing a file.
a. b. c. d. |
fields. stored files. bytes. occurrences. |
|
a. |
data sharing |
b. |
multiple storage procedures |
c. |
data redundancy |
d. |
excessive storage costs |
a. |
links between related records are implicit |
b. |
the way to access data is by following a predefined data path |
c. |
an owner (parent) record may own just one member (child) record |
d. |
a member (child) record may have more than one owner (parent) |
a. |
tuple |
b. |
attribute |
c. |
collision |
d. |
relation |
PTS: 1
a. |
relationships are explicit |
b. |
the user perceives that files are linked using pointers |
c. |
data is represented on two-dimensional tables |
d. |
data is represented as a tree structure |
a. |
data is presented to users as tables |
b. |
data can be extracted from specified rows from specified tables |
c. |
a new table can be built by joining two tables |
d. |
only one-to-many relationships can be supported |
a. |
the user’s view of the physical database is the same as the physical database |
b. |
users perceive that they are manipulating a single table |
c. |
a virtual table exists in the form of rows and columns of a table stored on the disk |
d. |
a programming language (COBOL) is used to create a user’s view of the database |
a. |
occurs because of data redundancy |
b. |
complicates adding records to the database |
c. |
may result in the loss of important data |
d. |
often results in excessive record insertions |
a. |
update anomaly |
b. |
insertion anomaly |
c. |
deletion anomaly |
d. |
none of the above |
a. |
is easily detected by users |
b. |
may result in the loss of important data |
c. |
complicates adding records to the database |
d. |
requires the user to perform excessive updates |
a. |
in a normalized database, data about vendors occur in several locations |
b. |
the accountant is responsible for database normalization |
c. |
in a normalized database, deletion of a key record could result in the destruction of the audit trail |
d. |
connections between M:M tables are provided by a link table |
a. |
hierarchical |
b. |
network |
c. |
sequential |
d. |
relational |
a. |
restrict |
b. |
project |
c. |
join |
d. |
all are relational algebra functions |
a. |
nouns that are depicted by rectangles on an entity relationship diagram |
b. |
data that describe the characteristics of properties of resources |
c. |
associations among elements |
d. |
sets of data needed to make a decision |
a. |
presents the physical arrangement of records in a database for a particular user |
b. |
is the logical abstract structure of the database |
c. |
specifies the relationship of data elements in the database |
d. |
defines how a particular user sees the database |
a. |
increased user control by having the data stored locally |
b. |
deadlocks are eliminated |
c. |
transaction processing response time is improved |
d. |
partitioning can reduce losses in case of disaster |
a. |
join |
b. |
project |
c. |
link |
d. |
restrict |
a. |
free of repeating group data |
b. |
free of transitive dependencies |
c. |
free of partial dependencies |
d. |
free of update anomalies |
e. |
none of the above |
a. |
free of repeating group data |
b. |
free of transitive dependencies |
c. |
free of partial dependencies |
d. |
free of insert anomalies |
e. |
none of the above |
a. |
free of repeating group data |
b. |
free of transitive dependencies |
c. |
free of partial dependencies |
d. |
free of deletion anomalies |
e. |
none of the above |
a. |
can be turned on and off by the auditor. |
b. |
reduce operating efficiency. |
c. |
may lose their viability in an environment where programs are modified frequently. |
d. |
identify transactions to be analyzed using white box tests. |
a. |
recalculate data fields |
b. |
compare files and identify differences |
c. |
stratify statistical samples |
d. |
analyze results and form opinions |
GAS allows auditors to access electronically coded data files of their clients, both simple and complex structures, and to perform various operations on their contents. GAS is popular for the following reasons:
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