CS614-Midterm
1 / 50
Transactional fact tables do not have records for events that do not occur. These are called
2 / 50
Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.
3 / 50
NUMA stands for __________
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The goal of star schema design is to simplify ________
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Data mining uses _________ algorithms to discover patterns and regularities in data.
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.______ is class of Decision Support Environment.
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_____ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limitedcapability to provide decision support and analysis.
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.
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Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.
10 / 50
People that design and build the data warehouse must be capable of working across the organization at all levels
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For a relation to be in 4NF it must be:-
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To measure or quantify the similarity or dissimilarity, different techniques are available. Which of the following option represent the name of available techniques?
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Node of a B-Tree is stored in memory block and traversing a B-Tree involves ______ page faults.
14 / 50
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
15 / 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.
16 / 50
Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.
17 / 50
DOLAP allows download of “cube” structures to a desktop platform with the need for shared relational or cube server.
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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...
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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.
20 / 50
The Kimball s iterative data warehouse development approach drew on decades of experience to develop the _________.
21 / 50
Companies collect and record their own operational data, but at the same time they also use reference data obtained from _______ sources such as codes, prices etc.
22 / 50
Focusing on data warehouse delivery only often end up _________.
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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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DTS allows us to connect through any data source or destination that is supported by ____________
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________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
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The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _____________ tools typical of decision support systems.
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Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as
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If every key in the data file is represented in the index file then index is :
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For a smooth DWH implementation we must be a technologist.
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In a traditional MIS system, there is an almost linear sequence of queries.
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_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
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It is observed that every year the amount of data recorded in an organization :
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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 ____________.
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____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
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Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.
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Many data warehouse project teams waste enormous amounts of time searching in vain for a _______.
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To identify the __________________ required we need to perform data profiling
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There are many variants of the traditional nested-loop join, if there is an index is exploited, then it is called……
40 / 50
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: An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
42 / 50
Which statement is true for De-Normalization?
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Grain is the ________ level of data stored in the warehouse.
44 / 50
The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.
45 / 50
For a given data set, to get a global view in un-supervised learning we use
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The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.
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Suppose the amount of data recorded in an organization is doubled every year. This increase is __________ .
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_______ is an application of information and data.
49 / 50
Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.
50 / 50
_____modeling technique is more appropriate for data warehouses.
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