CS614-Midterm
1 / 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.
2 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
3 / 50
_________ breaks a table into multiple tables based upon common column values.
4 / 50
It is observed that every year the amount of data recorded in an organization :
5 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
6 / 50
The goal of star schema design is to simplify ________
7 / 50
Collapsing tables can be done on the ___________ relationships
8 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
9 / 50
_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
10 / 50
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
11 / 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:
12 / 50
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
13 / 50
Focusing on data warehouse delivery only often end up _________.
14 / 50
15 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
16 / 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.
17 / 50
Normalization effects performance
18 / 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___________
19 / 50
A data warehouse implementation without an OLAP tool is always possible.
20 / 50
The automated, prospective analyses offered by data mining move beyond the analysis of past events provided by respective tools typical of ___________.
21 / 50
Pakistan is one of the five major ________ countries in the world.
22 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
23 / 50
in agriculture extension is that pest population beyond which the benefit of spraying outweighs levels
24 / 50
Analytical processing uses ____________ , instead of record level access.
25 / 50
The need to synchronize data upon update is called
26 / 50
During the application specification activity, we also must give consideration to the organization of the applications.
27 / 50
Which statement is true for De-Normalization?
28 / 50
The STAR schema used for data design is a __________ consisting of fact and dimension tables. :
29 / 50
The growth of master files and magnetic tapes exploded around the mid- _______. :
30 / 50
31 / 50
Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.
32 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
33 / 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.
34 / 50
Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
35 / 50
In DWH project, it is assured that ___________ environment is similar to the production environment
36 / 50
________ gives total view of an organization
37 / 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.
38 / 50
39 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
40 / 50
30.Data Warehouse is about taking / colleting data from different ________ sources:
41 / 50
The goal of ______is to look at as few block as possible to find the matching records.
42 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
43 / 50
If „M‟ rows from table-A match the conditions in the query then table-B is accessed „M‟ times. Suppose table-B has an index on the join column. If „a‟ I/Os are required to read the data block for each scan and „b‟ I/Os for each data block then the total cost of accessing table-B is _____________ logical I/Os approximately.
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
For a given data set, to get a global view in un-supervised learning we use
46 / 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 ___________
47 / 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.
48 / 50
In _________ system, the contents change with time. :
49 / 50
_____________, if fits into memory , costs only one disk I/O access to locate a record by given key.
50 / 50
Data mining uses _________ algorithms to discover patterns and regularities in data.
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