CS614-Midterm
1 / 50
NUMA stands for __________
2 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
3 / 50
The growth of master files and magnetic tapes exploded around the mid- _______. :
4 / 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.
5 / 50
A ________ dimension is a collection of random transactional codes, flags and/text attributes that are unrelated to any particular dimension. The ______ dimension is simply a structure that provides a convenient place to store the ______ attributes.
6 / 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.
7 / 50
in agriculture extension is that pest population beyond which the benefit of spraying outweighs levels
8 / 50
_________ breaks a table into multiple tables based upon common column values.
9 / 50
Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as
10 / 50
Normalization effects performance
11 / 50
The purpose of the House of Quality technique is to reduce ______ types of risk.
12 / 50
30.Data Warehouse is about taking / colleting data from different ________ sources:
13 / 50
For a given data set, to get a global view in un-supervised learning we use
14 / 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.
15 / 50
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
16 / 50
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:
17 / 50
De-Normalization normally speeds up
18 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
19 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
20 / 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?
21 / 50
5 million bales.
22 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
23 / 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 ___________
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25 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
26 / 50
We must try to find the one access tool that will handle all the needs of their users.
27 / 50
Change Data Capture is one of the challenging technical issues in _____________
28 / 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.
29 / 50
Pre-computed _______ can solve performance problems
30 / 50
.______ is class of Decision Support Environment.
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32 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
33 / 50
The STAR schema used for data design is a __________ consisting of fact and dimension tables. :
34 / 50
Slice and Dice is changing the view of the data.
35 / 50
The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.
36 / 50
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
37 / 50
The goal of star schema design is to simplify ________
38 / 50
39 / 50
Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.
40 / 50
For a smooth DWH implementation we must be a technologist.
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42 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
43 / 50
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.
44 / 50
If every key in the data file is represented in the index file then index is :
45 / 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?
46 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
47 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
48 / 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.
49 / 50
The input to the data warehouse can come from OLTP or transactional system but not from other third party database.
50 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
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