In standard SQL, the optimizer hint ALL_ROWS is generally used for _____ mode processes.
Front
batch
Back
_____ transparency exists when the end user or programmer must specify both the fragment names and their locations.
Front
Local mapping
Back
If there is no index, the DBMS will perform a _____ scan.
Front
full table
Back
In the context of RAID levels, striped arrays provide:
Front
increased read performance but no fault tolerance.
Back
_____ fragmentation refers to the division of a relation into subsets of tuples.
Front
Horizontal
Back
A(n) _____ is a logical grouping of several data files that store data with similar characteristics.
Front
table space
Back
A system table space, a user data table space, an index table space, and a temporary table space are examples of _____.
Front
file groups
Back
Distributed processing does not require:
Front
an existing distributed database.
Back
The _____ cache is used as a temporary storage area for ORDER BY or GROUP BY operations, as well as for index-creation functions.
Front
Sort
Back
Under the _____ scenario, all record- and file-locking activities are performed at the end-user location.
Front
multiple-site processing, single-site data
Back
In the context of RAID levels, _____ refers to writing the same data blocks to separate drives.
Front
Mirroring
Back
The _____ table space is used for transaction-recovery purposes.
Front
Rollback Segment
Back
_____ transparency exists when the end user or programmer must specify the database fragment names but does not need to specify where these fragments are located.
Front
Location
Back
A _____ contains the description of the entire database as seen by the database administrator.
Front
distributed data dictionary
Back
The _____ table space is used to store the data dictionary tables.
Front
System
Back
When moving data from permanent storage to RAM, an I/O disk operation retrieves:
Front
an entire physical disk block.
Back
The LIKE conditional operator is used by the _____ OPERAND1.
Front
V_CONTACT
Back
_____ transparency allows the integration of several different local database management systems (DBMS) under a common, or global, schema.
Front
Heterogeneity
Back
_____ transparency allows the system to operate as if it were a centralized database management system.
Front
Performance
Back
A distributed database is composed of several parts known as database _____.
Front
Fragments
Back
The _____ processor is the software component residing on each computer that stores and retrieves data located at the site.
Front
Data
Back
_____ is the delay imposed by the amount of time required for a data packet to make a round trip from point A to point B.
Front
Network latency
Back
The _____ must be set large enough to permit as many data requests to be serviced from cache as possible.
Front
Data cache
Back
The data cache or _____ is a shared, reserved memory area that stores the most recently accessed data blocks in RAM.
Front
Buffer cache
Back
A centralized database management is subject to a problem such as _____.
Front
a growing number of remote locations
Back
The DBMS _____ the SQL query and chooses the most efficient access/execution plan.
Front
Parses
Back
A DBA determines the initial size of the data files that make up the database; however, as required, the data files can automatically expand in predefined increments known as _____.
Front
extends
Back
_____ distributed database systems integrate different types of centralized database management systems (DBMS) over a network.
Front
Heterogeneous
Back
A(n) _____ database stores each database fragment at a single site.
Front
unreplicated
Back
The _____ is a shared, reserved memory area that stores the most recently executed SQL statements or PL/SQL procedures, including triggers and functions.
Front
Procedure Cache
Back
In theory, a(n) _____ can be an independent centralized database management system with proper interfaces to support remote access from other independent database management systems in the network.
Front
data processor
Back
Bitmap indexes tend to use less space than a _____ because they use bits instead of bytes to store their data.
Front
B-Tree Index
Back
Knowing the sparsity of a column helps you decide whether the use of _____ is appropriate.
Front
an index
Back
_____ transparency allows a physically dispersed database to be managed as though it were centralized.
Front
Distribution
Back
_____ transparency allows data to be updated simultaneously at several network sites.
Front
Transaction
Back
_____ transparency is the highest level of transparency. The end user or programmer does not need to know that a database is partitioned.
Front
Fragmentation
Back
To generate database object statistics manually, following syntax should be used in Oracle: _____.
the data and the parity data are striped across separate drives.
Back
The _____ rule requires that all copies of data fragments be identical.
Front
mutual consistency
Back
On the server side, the database environment must be properly configured to respond to clients' requests in the fastest way possible, while making optimum use of existing resources. The activities required to achieve this goal are commonly referred to as _____ tuning.
Front
DBMS performance
Back
The _____ guarantees that if a portion of a transaction operation cannot be committed, all changes made at the other sites participating in the transaction will be undone to maintain a consistent database state.
Front
two-phase commit protocol (2PC)
Back
_____ is a disadvantage of a distributed database management system (DDBMS).
Front
Security lapse
Back
_____ refers to the number of different values a column could possibly have.
Front
Data sparsity
Back
From the performance point of view, _____ databases eliminate disk access bottlenecks.
Front
in memory
Back
In standard SQL, the optimizer hint FIRST_ROWS is generally used for _____ mode processes.
Front
interactive
Back
A _____ lets a single SQL statement access the data that are to be processed by a single remote database processor.
Front
remote request
Back
_____ transparency ensures that the system will continue to operate in the event of a node or network malfunction.
Front
Failure
Back
A _____ distributed database system will support different database management systems (DBMS) that may even support different models running under different computer systems.
Front
Fully heterogeneous
Back
On the client side, the objective is to generate an SQL query that returns a correct answer in the least amount of time, using a minimum amount of resources at the server end. The activities required to achieve this goal are commonly referred to as _____ tuning.
Front
SQL Performance
Back
A database management system needs _____ to prepare the data for presentation to the end user or to an application program.
Front
formatting
Back
Section 2
(25 cards)
Bill Inmon and Chuck Kelley created a set of 12 rules to define a(n) _____.
Front
data warehouse
Back
In a typical star schema, each dimension record is related to thousands of _____ records.
Front
Fact
Back
_____ splits a table into subsets of rows or columns and places the subsets close to the client computer to improve data access time.
Front
Partitioning
Back
Fact and dimension tables are related by _____ keys.
Front
Foreign key
Back
A _____ is optimized for decision support and is generally represented by a data warehouse or a data mart.
Front
data store
Back
The basic star schema has four components: facts, _____, attributes, and attribute hierarchies.
Front
dimensions
Back
A _____ is a dynamic table that not only contains the SQL query command to generate the rows, but also stores the actual rows.
Front
Materialized View
Back
_____ provide a unified, single point of entry for information distribution.
Front
Portals
Back
In star schema representation, a fact table is related to each dimension table in a _____ relationship.
Front
Many-to-one
Back
The attribute hierarchy provides a top-down data organization that is used for two main purposes: _____ and drill-down/roll-up data analysis.
Front
aggregation
Back
Data _____ implies that all business entities, data elements, data characteristics, and business metrics are described in the same way throughout the enterprise.
Front
integration
Back
A _____ schema is a type of star schema in which dimension tables can have their own dimension tables.
Front
snowflake
Back
Operational data are commonly stored in many tables, and the stored data represent information about a given _____ only.
Front
transaction
Back
_____ can serve as a test vehicle for companies exploring the potential benefits of data warehouses.
Front
Data Marts
Back
From a data analyst's point of view, decision support data differ from operational data in three main areas: time span, granularity, and _____.
Front
dimensionality
Back
Which of the following is a personal analytics vendor for BI applications?
Front
MicroStrategy
Back
The reliance on _____ as the design methodology for relational databases is seen as a stumbling block to its use in OLAP systems.
Front
normalization
Back
Decision support data tend to be non-normalized, _____, and pre-aggregated.
Front
duplicated
Back
An multidimensional database management systems (MDBMS) uses proprietary techniques to store data in _____ n-dimensional arrays.
Front
Matrix Like
Back
Conceptually, MDBMS end users visualize the stored data as a three-dimensional cube known as a _____.
Front
data cube
Back
The _____ schema must support complex (non-normalized) data representations.
Front
decision support database
Back
In a star schema, attributes are often used to search, filter, or classify _____.
Front
facts
Back
_____ are in charge of presenting data to the end user in a variety of ways.
Front
data visualization tools
Back
Computed or derived facts, at run time, are sometimes called _____ to differentiate them from stored facts.
Front
Metrics
Back
In business intelligence framework, data are captured from a production system and placed in _____ on a near real-time basis.