CS614-Midterm
1 / 50
The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
2 / 50
Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
3 / 50
Analytical processing uses ____________ , instead of record level access.
4 / 50
To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
5 / 50
Focusing on data warehouse delivery only often end up _________.
6 / 50
Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
7 / 50
In _________ system, the contents change with time. :
8 / 50
________ gives total view of an organization
9 / 50
5 million bales.
10 / 50
It is observed that every year the amount of data recorded in an organization :
11 / 50
Pre-computed _______ can solve performance problems
12 / 50
30.Data Warehouse is about taking / colleting data from different ________ sources:
13 / 50
in agriculture extension is that pest population beyond which the benefit of spraying outweighs levels
14 / 50
The purpose of the House of Quality technique is to reduce ______ types of risk.
15 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
16 / 50
DTS allows us to connect through any data source or destination that is supported by ____________
17 / 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?
18 / 50
All data is ______________ of something real. I An Abstraction II A Representation Which of the following option is true?
19 / 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.
20 / 50
NUMA stands for __________
21 / 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.
22 / 50
23 / 50
The goal of star schema design is to simplify ________
24 / 50
Rearranging the grouping of source data, delivering it to the destination database, and ensuring the quality of data are crucial to the process of loading the data warehouse. Data ____________ is vitally important to the overall health of a warehouse project. 1. Cleansing 2. Cleaning 3. Scrubbing Which of the following options is true?
25 / 50
26 / 50
_____________, if fits into memory , costs only one disk I/O access to locate a record by given key.
27 / 50
Change Data Capture is one of the challenging technical issues in _____________
28 / 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.
29 / 50
For a DWH project, the key requirement are ________ and product experience.
30 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
31 / 50
We must try to find the one access tool that will handle all the needs of their users.
32 / 50
Pakistan is one of the five major ________ countries in the world.
33 / 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.
34 / 50
De-Normalization normally speeds up
35 / 50
Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.
36 / 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.
37 / 50
_________ breaks a table into multiple tables based upon common column values.
38 / 50
Ad-hoc access means to run such queries which are known already.
39 / 50
40 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
41 / 50
The input to the data warehouse can come from OLTP or transactional system but not from other third party database.
42 / 50
_____ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limitedcapability to provide decision support and analysis.
43 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
44 / 50
Slice and Dice is changing the view of the data.
45 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
46 / 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 ____________.
47 / 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.
48 / 50
Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.
49 / 50
Normalization effects performance
50 / 50
The users of data warehouse are knowledge workers in other words they are _______in the organization.
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