CS614-Midterm
1 / 50
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
2 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
3 / 50
For a DWH project, the key requirement are ________ and product experience.
4 / 50
DSS queries do not involve a primary key
5 / 50
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...
6 / 50
Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
7 / 50
Ad-hoc access means to run such queries which are known already.
8 / 50
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.
9 / 50
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 ____________.
10 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
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12 / 50
Slice and Dice is changing the view of the data.
13 / 50
Change Data Capture is one of the challenging technical issues in _____________
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Pre-computed _______ can solve performance problems
15 / 50
For a relation to be in 4NF it must be:-
16 / 50
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
17 / 50
Focusing on data warehouse delivery only often end up _________.
18 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
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It is observed that every year the amount of data recorded in an organization :
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Analytical processing uses ____________ , instead of record level access.
21 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
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NUMA stands for __________
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_______ is an application of information and data.
24 / 50
Execution can be completed successfully or it may be stopped due to some error. In case of successful completion of execution all the transactions will be ___________
25 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
26 / 50
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.
27 / 50
_____ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limitedcapability to provide decision support and analysis.
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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.
29 / 50
When performing objective assessments, companies follow a set of principles to develop metrics specific to their needs, there is hard to have “one size fits all” approach. Which of the following statement represents the pervasive functional forms?
30 / 50
Transactional fact tables do not have records for events that do not occur. These are called
31 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
32 / 50
A data warehouse implementation without an OLAP tool is always possible.
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________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
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The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
35 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
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.______ is class of Decision Support Environment.
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It is observed that every year the amount of data recorded in anorganization is
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Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
39 / 50
As apposed to the out come of classification, estimation deal with ____________ valued outcome.
40 / 50
DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.
41 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
42 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
43 / 50
Pakistan is one of the five major ________ countries in the world.
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The goal of ______is to look at as few block as possible to find the matching records.
45 / 50
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.
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Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
47 / 50
Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.
48 / 50
In _________ system, the contents change with time. :
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________ gives total view of an organization
50 / 50
Data mining is a/an ______ approach , where browsing through data using mining techniques may reveal something that might be of interest to the user as information that was unknown previously.
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