CS614-Midterm
1 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
2 / 50
There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……
3 / 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.
4 / 50
Grain is the ________ level of data stored in the warehouse.
5 / 50
The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.
6 / 50
_________ breaks a table into multiple tables based upon common column values.
7 / 50
The goal of star schema design is to simplify ________
8 / 50
For a DWH project, the key requirement are ________ and product experience.
9 / 50
Many data warehouse project teams waste enormous amounts of time searching in vain for a _______.
10 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
11 / 50
Which statement is true for De-Normalization?
12 / 50
Pre-join technique is used to avoid
13 / 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.
14 / 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.
15 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
16 / 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.
17 / 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.
18 / 50
During the application specification activity, we also must give consideration to the organization of the applications.
19 / 50
To identify the __________________ required we need to perform data profiling
20 / 50
During ETL process of an organization, suppose you have data which can be transformed using any of the transformation method. Which of the following strategy will be your choice for least complexity?
21 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
22 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
23 / 50
As apposed to the out come of classification, estimation deal with ____________ valued outcome.
24 / 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.
25 / 50
Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.
26 / 50
____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
27 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
28 / 50
Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.
29 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
30 / 50
Change Data Capture is one of the challenging technical issues in _____________
31 / 50
Data mining uses _________ algorithms to discover patterns and regularities in data.
32 / 50
To judge effectiveness we perform data profiling twice.
33 / 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 ____________.
34 / 50
Pakistan is one of the five major ________ countries in the world.
35 / 50
All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?
36 / 50
Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.
37 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
38 / 50
: The goal of ___________ is to look at as few blocks as possible to find the matching records(s).
39 / 50
For a relation to be in 4NF it must be:-
40 / 50
Pre-computed _______ can solve performance problems
41 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
42 / 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.
43 / 50
B-Tree is used as an index to provide access to records
44 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
45 / 50
In _________ system, the contents change with time. :
46 / 50
Analytical processing uses ____________ , instead of record level access.
47 / 50
.______ is class of Decision Support Environment.
48 / 50
For a smooth DWH implementation we must be a technologist.
49 / 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 ___________
50 / 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:
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