CS614 Midterm Online Quiz

The STAR schema used for data design is a __________ consisting of fact and dimension tables. :

In _________ system, the contents change with time. :

The degree of similarity between two records, often measured by a numerical value between _______, usually depends on application characteristics.

Ad-hoc access means to run such queries which are known already.

As apposed to the out come of classification, estimation deal with ____________ valued outcome.

NUMA stands for __________

DTS allows us to connect through any data source or destination that is supported by ____________

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.

_____modeling technique is more appropriate for data warehouses.

The divide & conquer cube partitioning approach helps alleviate the ____________ limitations of MOLAP implementation.

Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.

The automated, prospective analyses offered by data mining move beyond the analysis of past events provided by respective tools typical of ___________.

For a DWH project, the key requirement are ________ and product experience.

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.

For a DWH project, the key requirement are ________ and product experience.

In a traditional MIS system, there is an almost linear sequence of queries.

If w is the window size and n is the size of data set, then the complexity of merging phase in BSN method is___________

Multidimensional databases typically use proprietary __________ format to store pre-summarized cube structures.

The users of data warehouse are knowledge workers in other words they are _______in the organization.

Focusing on data warehouse delivery only often end up _________.

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.

Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.

The purpose of the House of Quality technique is to reduce ______ types of risk.

In horizontal splitting, we split a relation into multiple tables on the basis of

A data warehouse implementation without an OLAP tool is always possible.

Virtual cube is used to query two similar cubes by creating a third “virtual” cube by a join between two cubes.

Cube is a __________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.

Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.

Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.

5 million bales.

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.

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 ____________.

To identify the __________________ required we need to perform data profiling

Which statement is true for De-Normalization?

The goal of star schema design is to simplify ________

in agriculture extension is that pest population beyond which the benefit of spraying outweighs levels

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?

Analytical processing uses ____________ , instead of record level access.

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.

_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.

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 ___________

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?

_________ breaks a table into multiple tables based upon common column values.

A single database, couldn‟t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.

A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.

Many data warehouse project teams waste enormous amounts of time searching in vain for a _______.

________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.

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 _______.

Pipeline parallelism focuses on increasing throughput of task execution, NOT on __________ sub-task execution time.

The _________ is only a small part in realizing the true business value buried within the mountain of data collected and stored within organizations business systems and operational databases.