CS614-Midterm
1 / 50
All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?
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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 _______.
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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.
4 / 50
Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.
5 / 50
For a given data set, to get a global view in un-supervised learning we use
6 / 50
The STAR schema used for data design is a __________ consisting of fact and dimension tables. :
7 / 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.
8 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
9 / 50
Slice and Dice is changing the view of the data.
10 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
11 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
12 / 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...
13 / 50
Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.
14 / 50
_______ is an application of information and data.
15 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
16 / 50
Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.
17 / 50
.______ is class of Decision Support Environment.
18 / 50
Which statement is true for De-Normalization?
19 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
20 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
21 / 50
_________ breaks a table into multiple tables based upon common column values.
22 / 50
We must try to find the one access tool that will handle all the needs of their users.
23 / 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.
24 / 50
A data warehouse implementation without an OLAP tool is always possible.
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Grain is the ________ level of data stored in the warehouse.
27 / 50
The goal of ______is to look at as few block as possible to find the matching records.
28 / 50
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
29 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
30 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
31 / 50
in agriculture extension is that pest population beyond which the benefit of spraying outweighs levels
32 / 50
In _________ system, the contents change with time. :
33 / 50
If w is the window size and n is the size of data set, then the complexity of merging phase in BSN method is___________
34 / 50
For a DWH project, the key requirement are ________ and product experience.
35 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
36 / 50
Collapsing tables can be done on the ___________ relationships
37 / 50
DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.
38 / 50
De-Normalization normally speeds up
39 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
40 / 50
_____modeling technique is more appropriate for data warehouses.
41 / 50
The growth of master files and magnetic tapes exploded around the mid- _______. :
42 / 50
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 computation.
43 / 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.
44 / 50
5 million bales.
45 / 50
: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
46 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
47 / 50
The input to the data warehouse can come from OLTP or transactional system but not from other third party database.
48 / 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?
49 / 50
Normalization effects performance
50 / 50
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