CS614-Midterm
1 / 50
The STAR schema used for data design is a __________ consisting of fact and dimension tables. :
2 / 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:
3 / 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.
4 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
5 / 50
The need to synchronize data upon update is called
6 / 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.
7 / 50
It is observed that every year the amount of data recorded in an organization :
8 / 50
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
9 / 50
Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
10 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
11 / 50
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
12 / 50
13 / 50
Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.
14 / 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.
15 / 50
The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.
16 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
17 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
18 / 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.
19 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
20 / 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.
21 / 50
Transactional fact tables do not have records for events that do not occur. These are called
22 / 50
Which statement is true for De-Normalization?
23 / 50
The input to the data warehouse can come from OLTP or transactional system but not from other third party database.
24 / 50
The growth of master files and magnetic tapes exploded around the mid- _______. :
25 / 50
If every key in the data file is represented in the index file then index is :
26 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
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.
28 / 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.
29 / 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 ___________
30 / 50
The purpose of the House of Quality technique is to reduce ______ types of risk.
31 / 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...
32 / 50
Slice and Dice is changing the view of the data.
33 / 50
For a smooth DWH implementation we must be a technologist.
34 / 50
The automated, prospective analyses offered by data mining move beyond the analysis of past events provided by respective tools typical of ___________.
35 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
36 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
37 / 50
Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as
38 / 50
_____________, if fits into memory , costs only one disk I/O access to locate a record by given key.
39 / 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___________
40 / 50
41 / 50
De-Normalization normally speeds up
42 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
43 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
44 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
45 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
46 / 50
47 / 50
DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.
48 / 50
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 _______.
49 / 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.
50 / 50
Collapsing tables can be done on the ___________ relationships
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