CS614-Midterm
1 / 50
Transactional fact tables do not have records for events that do not occur. These are called
2 / 50
Pakistan is one of the five major ________ countries in the world.
3 / 50
A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.
4 / 50
Horizontal splitting breaks a table into multiple tables based upon_______
5 / 50
Change Data Capture is one of the challenging technical issues in _____________
6 / 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.
7 / 50
We must try to find the one access tool that will handle all the needs of their users.
8 / 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.
9 / 50
The purpose of the House of Quality technique is to reduce ______ types of risk.
10 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
11 / 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.
12 / 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.
13 / 50
Which statement is true for De-Normalization?
14 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
15 / 50
In a traditional MIS system, there is an almost linear sequence of queries.
16 / 50
The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.
17 / 50
Data mining uses _________ algorithms to discover patterns and regularities in data.
18 / 50
As apposed to the out come of classification, estimation deal with ____________ valued outcome.
19 / 50
Analytical processing uses ____________ , instead of record level access.
20 / 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 _______.
21 / 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.
22 / 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.
23 / 50
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
_____modeling technique is more appropriate for data warehouses.
26 / 50
De-Normalization normally speeds up
27 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
28 / 50
Non uniform distribution, when the data is distributed across the processors, is called ______.
29 / 50
: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
30 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
31 / 50
Ad-hoc access means to run such queries which are known already.
32 / 50
The key idea behind ___________ is to take a big task and break it into subtasks that can be processed concurrently on a stream of data inputs in multiple, overlapping stages of execution.
33 / 50
Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
34 / 50
Pre-join technique is used to avoid
35 / 50
_________ breaks a table into multiple tables based upon common column values.
36 / 50
In horizontal splitting, we split a relation into multiple tables on the basis of
37 / 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.
38 / 50
B-Tree is used as an index to provide access to records
39 / 50
NUMA stands for __________
40 / 50
Focusing on data warehouse delivery only often end up _________.
41 / 50
________ gives total view of an organization
42 / 50
43 / 50
44 / 50
There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called
45 / 50
5 million bales.
46 / 50
47 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
48 / 50
_____ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limitedcapability to provide decision support and analysis.
49 / 50
For a DWH project, the key requirement are ________ and product experience.
50 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
Your score is
The average score is 0%
Restart quiz
