CS614-Midterm
1 / 50
Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
2 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
3 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
4 / 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.
5 / 50
The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The smaller the portion of the program that must be executed __________, the greater the scalability of the computation.
6 / 50
Normalization effects performance
7 / 50
30.Data Warehouse is about taking / colleting data from different ________ sources:
8 / 50
To judge effectiveness we perform data profiling twice.
9 / 50
The STAR schema used for data design is a __________ consisting of fact and dimension tables. :
10 / 50
NUMA stands for __________
11 / 50
Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.
12 / 50
Data mining uses _________ algorithms to discover patterns and regularities in data.
13 / 50
All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?
14 / 50
The need to synchronize data upon update is called
15 / 50
Slice and Dice is changing the view of the data.
16 / 50
Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.
17 / 50
5 million bales.
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: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
19 / 50
In a traditional MIS system, there is an almost linear sequence of queries.
20 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
21 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
22 / 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.
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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.
24 / 50
25 / 50
Grain is the ________ level of data stored in the warehouse.
26 / 50
Collapsing tables can be done on the ___________ relationships
27 / 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.
28 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
29 / 50
For a relation to be in 4NF it must be:-
30 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
31 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
32 / 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?
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_______ is an application of information and data.
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People that design and build the data warehouse must be capable of working across the organization at all levels
35 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
36 / 50
_________ breaks a table into multiple tables based upon common column values.
37 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
38 / 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...
39 / 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:
40 / 50
The automated, prospective analyses offered by data mining move beyond the analysis of past events provided by respective tools typical of ___________.
41 / 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.
42 / 50
The goal of star schema design is to simplify ________
43 / 50
Change Data Capture is one of the challenging technical issues in _____________
44 / 50
For a smooth DWH implementation we must be a technologist.
45 / 50
DSS queries do not involve a primary key
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Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
47 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
48 / 50
Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as
49 / 50
50 / 50
Analytical processing uses ____________ , instead of record level access.
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