CS614-Midterm
1 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
2 / 50
Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as
3 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
4 / 50
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.
5 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
6 / 50
_______ is an application of information and data.
7 / 50
Focusing on data warehouse delivery only often end up _________.
8 / 50
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.
9 / 50
5 million bales.
10 / 50
B-Tree is used as an index to provide access to records
11 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
12 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
13 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
14 / 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...
15 / 50
Pre-computed _______ can solve performance problems
16 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
17 / 50
Grain is the ________ level of data stored in the warehouse.
18 / 50
The growth of master files and magnetic tapes exploded around the mid- _______. :
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The goal of star schema design is to simplify ________
20 / 50
The purpose of the House of Quality technique is to reduce ______ types of risk.
21 / 50
____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
22 / 50
As apposed to the out come of classification, estimation deal with ____________ valued outcome.
23 / 50
NUMA stands for __________
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25 / 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 ____________.
26 / 50
To identify the __________________ required we need to perform data profiling
27 / 50
_____modeling technique is more appropriate for data warehouses.
28 / 50
Rearranging the grouping of source data, delivering it to the destination database, and ensuring the quality of data are crucial to the process of loading the data warehouse. Data ____________ is vitally important to the overall health of a warehouse project. 1. Cleansing 2. Cleaning 3. Scrubbing Which of the following options is true?
29 / 50
A data warehouse implementation without an OLAP tool is always possible.
30 / 50
Slice and Dice is changing the view of the data.
31 / 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
32 / 50
: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
33 / 50
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.
34 / 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.
35 / 50
Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.
36 / 50
There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……
37 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
38 / 50
Data mining uses _________ algorithms to discover patterns and regularities in data.
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40 / 50
_________ breaks a table into multiple tables based upon common column values.
41 / 50
During the application specification activity, we also must give consideration to the organization of the applications.
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44 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
45 / 50
For a smooth DWH implementation we must be a technologist.
46 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
47 / 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.
48 / 50
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.
49 / 50
Data Transformation Services (DTS) provide a set of _____ that lets you extract, transform, and consolidate data from disparate sources into single or multiple destinations supported by DTS connectivity.
50 / 50
For a DWH project, the key requirement are ________ and product experience.
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