CS614 - Data Warehousing
Question # 1 of 10 ( Start time: 10:29:52 PM ) Total Marks: 1
Data mining uses _________ algorithms to discover patterns and regularities in data.
Select correct option:
Mathematical
Computational
Statistical
None of these
Question # 2 of 10 ( Start time: 10:31:13 PM ) Total Marks: 1
The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
Select correct option:
Indexing
Partitioning
Joining
None of these
Question # 3 of 10 ( Start time: 10:32:34 PM ) Total Marks: 1
An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
Select correct option:
OLTP
OLAP
DSS
Inverted Index
Question # 4 of 10 ( Start time: 10:33:23 PM ) Total Marks: 1
If every key in the data file is represented in the index file then index is
Select correct option:
Dense Index
Sparse Index
Inverted Index
None of these
Question # 5 of 10 ( Start time: 10:34:47 PM ) Total Marks: 1
There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called
Select correct option:
Naive nested-loop join
Index nested-loop join
Temporary index nested-loop join
None of these
Question # 6 of 10 ( Start time: 10:36:08 PM ) Total Marks: 1
Data mining evolve as a mechanism to cater the limitations of ________ systems to deal massive data sets with high dimensionality, new data types, multiple heterogeneous data resources etc.
Select correct option:
OLTP
OLAP
DSS
DWH
Question # 7 of 10 ( Start time: 10:37:30 PM ) Total Marks: 1
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
Select correct option:
One
Two
Linear
Quadratic
Question # 8 of 10 ( Start time: 10:38:29 PM ) Total Marks: 1
Data mining derives its name from the similarities between searching for valuable business information in a large database, for example, finding linked products in gigabytes of store scanner data, and mining a mountain for a _________ of valuable ore.
Select correct option:
Furrow
Streak
Trough
Vein
Question # 9 of 10 ( Start time: 10:39:49 PM ) Total Marks: 1
If 'M' rows from table-A match the conditions in the query then table-B is accessed 'M' times. Suppose table-B has an index on the join column. If 'a' I/Os are required to read the data block for each scan plus 'b' I/Os for each data block then the total cost of accessing table-B is _____________ logical I/Os approximately.
Select correct option:
(a + b)M
(a - b)M
(a + b + M)
(a * b * M)
Question # 10 of 10 ( Start time: 10:41:16 PM ) Total Marks: 1
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
Select correct option:
Clustering
Aggregation
Segmentation
Partitioning
The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The ______ the portion of the program that must be executed sequentially, the greater the scalability of the computation
Larger
Smaller
Unambiguous
Superior
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
An Inverted Index
A Sparse Index
A Dense Index
None of these
If someone told you that he had a good model to predict customer usage, the first thing you might try would be to ask him to apply his model to your customer _______, where you already knew the answer.
Base
Drive
File
Log
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
Introspective
Intuitive
Reminiscent
Retrospective
If every key in the data file is represented in the index file then index is
Dense Index
Sparse Index
Inverted Index
None of these
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
One
Two
Linear
Quadratic
With data mining, the best way to accomplish this is by setting aside some of your data in a vault to isolate it from the mining process; once the mining is complete, the results can be tested against the isolated data to confirm the model's _______.
Validity
Security
Integrity
None of these
Data mining uses _________ algorithms to discover patterns and regularities in data.
Mathematical
Computational
Statistical
None of these
The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
Indexing
Partitioning
Joining
None of these
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
An Inverted Index
A Sparse Index
A Dense Index
None of these
There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called
Naive nested-loop join
Index nested-loop join
Temporary index nested-loop join
None of these
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
An Inverted Index
A Sparse Index
A Dense Index
None of these
If 'M' rows from table-A match the conditions in the query then table-B is accessed 'M' times. Suppose table-B has an index on the join column. If 'a' I/Os are required to read the data block for each scan plus 'b' I/Os for each data block then the total cost of accessing table-B is _____________ logical I/Os approximately.
(a + b)M
(a - b)M
(a + b + M)
(a * b * M)
With data mining, the best way to accomplish this is by setting aside some of your data in a ________ to isolate it from the mining process; once the mining is complete, the results can be tested against the isolated data to confirm the model's validity.
Cell
Disk
Folder
Vault
The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The smaller the portion of the program that must be executed __________, the greater the scalability of the computation.
In Parallel
Distributed
Sequentially
None of these
Data mining is a/an __________ approach, where browsing through data using data mining techniques may reveal something that might be of interest to the user as information that was unknown previously.
Non-Exploratory
Exploratory
Compute Science
none of these
Data mining evolve as mechanism to cater the limitations of _____ systems to deal massive data sets with high dimensionality , new data types, multiple heterogeneous data resources etc..
OLTP
OLAP
DSS
DWH
To identify the __________________ required we need to perform data profiling
Degree of Transformation
Complexity
Cost
Time
Execution can be completed successfully or it may be stopped due to some error. If some error occurs, execution will be terminated abnormally and all transactions will be ___________
Committed to the database
Rolled back
Companies collect and record their own operational data, but at the same time they also use reference data obtained from _______ sources such as codes, prices etc.
Operational
None of these
Internal
External
Ad-hoc access means to run such queries which are known already.
True
False
____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
Profit Threshold Level
Economic Threshold Level
Medicine Threshold Level
None of these
People that design and build the data warehouse must be capable of working across the organization at all levels
True
False
The _________ is only a small part in realizing the true business value buried within the mountain of data collected and stored within organizations business systems and operational databases.
Independence on technology
Dependence on technology
None of these
Many data warehouse project teams waste enormous amounts of time searching in vain for a ___________________.
Silver Bullet
Golden Bullet
Suitable Hardware
Compatible Product
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
File
Application
Aggregate
Database
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
One
Two
lg (n)
n
All data is ______________ of something real.
I An Abstraction
II A Representation
Which of the following option is true?
I Only
II Only
Both I & II
None of I & II
The key idea behind ___________ is to take a big task and break it into subtasks that can be processed concurrently on a stream of data inputs in multiple, overlapping stages of execution.
Pipeline Parallelism
Overlapped Parallelism
Massive Parallelism
Distributed Parallelism
Non uniform distribution, when the data is distributed across the processors, is called ______.
Skew in Partition
Pipeline Distribution
Distributed Distribution
Uncontrolled Distribution
The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The smaller the portion of the program that must be executed __________, the greater the scalability of the computation.
None of these
Sequentially
In Parallel
Distributed
Data mining is a/an __________ approach, where browsing through data using data mining techniques may reveal something that might be of interest to the user as information that was unknown previously.
Exploratory
Non-Exploratory
Computer Science
Data mining evolve as a mechanism to cater the limitations of ________ systems to dealmassive data sets with high dimensionality, new data types, multiple heterogeneous data resources etc.
OLTP
OLAP
DSS
DWH
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
Clustering
Aggregation
Segmentation
Partitioning
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
Pearson correlation is the only technique
Euclidean distance is the only technique
Both Pearson correlation and Euclidean distance
None of these
For a DWH project, the key requirement are ________ and product experience.
Tools
Industry
Software
None of these
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
Increasing
Decreasing
Maintaining
None of these
Focusing on data warehouse delivery only often end up _________.
Rebuilding
Success
Good Stable Product
None of these
Pakistan is one of the five major ________ countries in the world.
Cotton-growing
Rice-growing
Weapon Producing
_____________ is a process which involves gathering of information about column through execution of certain queries with intention to identify erroneous records.
Data profiling
Data Anomaly Detection
Record Duplicate Detection
None of these
Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.
Only One Direction
Any Direction
Two Direction
None of these
DSS queries do not involve a primary key
True
False
__________________ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limited capability to provide decision support and analysis.
The lack of data integration and standardization
Missing Data
Data Stored in Heterogeneous Sources
DTS allows us to connect through any data source or destination that is supported by ____________
OLE DB
OLAP
OLTP
Data Warehouse
Data Transformation Services (DTS) provide a set of _____ that lets you extract, transform, and consolidate data from disparate sources into single or multipledestinations supported by DTS connectivity.
Tools
Documentations
Guidelines
If some error occurs, execution will be terminated abnormally and all transactions will be rolled back. In this case when we will access the database we will find it in the state that was before the ____________.
Execution of package
Creation of package
Connection of package
To judge effectiveness we perform data profiling twice.
One before Extraction and the other after Extraction
One before Transformation and the other after Transformation
One before Loading and the other after Loading
The need to synchronize data upon update is called
Data Manipulation
Data Replication
Data Coherency
Data Imitation
Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as
Distributed Systems Architecture
Legacy Systems Architecture
Online Systems Architecture
Intranet Systems Architecture
Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.
O (n)
O (n2)
O (n lg n)
O (lg n)
Which statement is true for De-Normalization?
Redundant data is a performance liability at query time, but is a performance benefit at update time.
Redundant data is a performance benefit at both query time and update time.
Redundant data is a performance liability at both query time and update time.
Redundant data is a performance benefit at query time, but is a performance liability at update time.
It is observed that every year the amount of data recorded in an organization is
Doubles
Triples
Quartiles
Remains same as previous year
Pre-computed _______ can solve performance problems
Aggregates
Facts
Dimensions
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
0 and 1
0 and 10
0 and 100
0 and 99
The purpose of the House of Quality technique is to reduce ______ types of risk.
Two
Three
Four
All
NUMA stands for __________
Non-uniform Memory Access
Non-updateable Memory Architecture
New Universal Memory Architecture
There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called
Naive nested-loop join
Index nested-loop join
Temporary index nested-loop join
None of these
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _____________.
Business Dimensional Lifecycle
Data Warehouse Dimension
Business Definition Lifecycle
OLAP Dimension
For a smooth DWH implementation we must be a technologist.
True
False
During the application specification activity, we also must give consideration to the organization of the applications.
True
False
The most recent attack is the ________ attack on the cotton crop during 2003- 04, resulting in a loss of nearly 0.5 million bales.
Boll Worm
Purple Worm
Blue Worm
Cotton Worm
The users of data warehouse are knowledge workers in other words they are_________ in the organization.
Decision maker
Manager
Database Administrator
DWH Analyst
_________ breaks a table into multiple tables based upon common column values.
Horizontal splitting
Vertical splitting
As apposed to the out come of classification , estimation deal with ____________ valued
outcome.
Discrete
Isolated
Continuous
Distinct
The goal of ______is to look at as few block as possible to find the matching records. Indexing
Partitioning
Joining
none of these
nested loop join
none of these
The technique that is used to perform these feats in data mining modeling, and this act of model building is something that people have been doing for long time, certainly before the _______ of computers or data mining technology.
Access Advent
Ascent Avowal
A data warehouse may include
Legacy systems
Only internal data sources
Privacy restrictions
Small data mart
De-Normalization normally speeds up
Data Retrieval
Data Modification
Development Cycle
Data Replication
In horizontal splitting, we split a relation into multiple tables on the basis of
Common Column Values
Common Row Values
Different Index Values
Value resulted by ad-hoc query
For a given data set, to get a global view in un-supervised learning we use
One-way Clustering
Bi-clustering
Pearson correlation
Euclidean distance
In DWH project, it is assured that ___________ environment is similar to the production environment.
Designing
Development
Analysis
Implementation
For good decision making, data should be integrated across the organization to cross the LoB (Line of Business). This is to give the total view of organization from:
Owner's Perspective
Customer's Perspective
Decision Maker's Perspective
Employee's Perspective
Which is the least appropriate join operation for Pipeline parallelism?
Hash Join
Inner Join
Outer Join
Sort-Merge Join
Data mining derives its name from the similarities between searching for valuable business information in a large database, for example, finding linked products in gigabytes of store scanner data, and mining a mountain for a _________ of valuable ore.
Furrow
Streak
Trough
Vein
With data mining, the best way to accomplish this is by setting aside some of your data in a ________ to isolate it from the mining process; once the mining is complete, the results can be tested against the isolated data to confirm the model's validity.
Cell
Disk
Folder
Vault
We must try to find the one access tool that will handle all the needs of their users.
True
False
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
Extreme Technology Design
Extreme Architecture Design
The automated, prospective analyses offered by data mining move beyond the analysis of past
events provided by respective tools typical of ___________.
OLTP
OLAP
Decision Support systems
None of these
There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……
Naïve nested loop join index
Nested loop join temporary index
Index nested-loop joins
A data warehouse implementation without an OLAP tool is always possible.
True
False
_____modeling technique is more appropriate for data warehouses.
entity-relationship
dimensional
physical
None of the given
The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.
True
False
Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.
SQL
proprietary file
Object oriented
Non- proprietary file
Slice and Dice is changing the view of the data.
True
False
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
Unusual
Essential
Optional
None of the given
Virtual cube is used to query two similar cubes by creating a third "virtual" cube by a join between two cubes.
True
False
Analytical processing uses ____________ , instead of record level access.
multi-level aggregates
Single-level aggregates
Single-level hierarchy
None of the Given
The divide&conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
Flexibility
Maintainability
Security
Scalability
In a traditional MIS system, there is an almost linear sequence of queries.
True
False
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
Mandatory
Whole
Analysis
Prediction
DOLAP allows download of "cube" structures to a desktop platform with the need for shared relational or cube server.
True
False
The STAR schema used for data design is a __________ consisting of fact and dimension tables.
Select correct option:
Network model
Relational model
Hierarchical data model
None of the given
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
Select correct option:
Mandatory
Whole
Analysis
Prediction
Virtual cube is used to query two similar cubes by creating a third "virtual" cube by a join between two cubes.
Select correct option:
True
False
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
Select correct option:
Unusual
Essential
Optional
None of the given
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