CS614-Midterm
1 / 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...
2 / 50
It is observed that every year the amount of data recorded in anorganization is
3 / 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.
4 / 50
The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.
5 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
6 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
7 / 50
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
8 / 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.
9 / 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 ___________
10 / 50
For a DWH project, the key requirement are ________ and product experience.
11 / 50
Pakistan is one of the five major ________ countries in the world.
12 / 50
_____________, if fits into memory , costs only one disk I/O access to locate a record by given key.
13 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
14 / 50
: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
15 / 50
30.Data Warehouse is about taking / colleting data from different ________ sources:
16 / 50
NUMA stands for __________
17 / 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.
18 / 50
Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
19 / 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.
20 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
21 / 50
22 / 50
During the application specification activity, we also must give consideration to the organization of the applications.
23 / 50
_____modeling technique is more appropriate for data warehouses.
24 / 50
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
25 / 50
Many data warehouse project teams waste enormous amounts of time searching in vain for a _______.
26 / 50
5 million bales.
27 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
28 / 50
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
29 / 50
DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.
30 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
31 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
32 / 50
Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.
33 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
34 / 50
All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?
35 / 50
____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
36 / 50
The goal of ______is to look at as few block as possible to find the matching records.
37 / 50
Transactional fact tables do not have records for events that do not occur. These are called
38 / 50
________ gives total view of an organization
39 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
40 / 50
Which statement is true for De-Normalization?
41 / 50
.______ is class of Decision Support Environment.
42 / 50
Normalization effects performance
43 / 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 ____________.
44 / 50
45 / 50
There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……
46 / 50
47 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
48 / 50
Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.
49 / 50
Analytical processing uses ____________ , instead of record level access.
50 / 50
Grain is the ________ level of data stored in the warehouse.
Your score is
The average score is 0%
Restart quiz
