CS614 Midterm Online Quiz

For a smooth DWH implementation we must be a technologist.

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

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

NUMA stands for __________

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.

_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.

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.

In DWH project, it is assured that ___________ environment is similar to the production environment

Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.

Pre-computed _______ can solve performance problems

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

Grain is the ________ level of data stored in the warehouse.

For a given data set, to get a global view in un-supervised learning we use

The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.

_____modeling technique is more appropriate for data warehouses.

We must try to find the one access tool that will handle all the needs of their users.

The goal of star schema design is to simplify ________

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

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

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

_____ contributes to an under-utilization of valuable and expensive historical data, and inevitably results in a limitedcapability to provide decision support and analysis.

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

During the application specification activity, we also must give consideration to the organization of the applications.

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 _______.

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.

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

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.

People that design and build the data warehouse must be capable of working across the organization at all levels

It is observed that every year the amount of data recorded in anorganization is

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 ___________

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

Investing years in architecture and forgetting the primary purpose of solving business problems, results in inefficient application. This is the example of _________ mistake.

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.

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.

NUMA stands for __________

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.

Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as

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

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

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

To judge effectiveness we perform data profiling twice.

____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.

The need to synchronize data upon update is called

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

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

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...

Data Transformation Services (DTS) provide a set of _____ that lets you extract, transform, and consolidate data from disparate sources into single or multiple destinations supported by DTS connectivity.

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

Collapsing tables can be done on the ___________ relationships

Pre-computed _______ can solve performance problems