In the name of ALLAH, the most beneficient, the most merciful

Data Warehousing (CS614)

Multiple Choice Questions (MCQs)

Objective Questions

  1. 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.

    1. OLTP
    2. OLAP
    3. DSS
    4. DWH
  2. As opposed to the outcome of classification, estimation deal with __________ valued outcome.

    1. Discrete
    2. Isolated
    3. Continuous
    4. Distinct
  3. An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is __________.

    1. OLTP
    2. OLAP
    3. DSS
    4. Inverted Index
  4. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of __________.

    1. OLTP
    2. OLAP
    3. Decision Support Systems
    4. None of the given
  5. 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.

    1. Furrow
    2. Streak
    3. Trough
    4. Vein
  6. The STAR schema used for data design is a __________ consisting of fact and dimension tables.

    1. Network model
    2. Relational model
    3. Hierarchical data model
    4. None of the given
  7. 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.

    1. Non-Exploratory
    2. Exploratory
    3. Computer Science
    4. None of the given
  8. __________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.

    1. Profit Threshold Level
    2. Economic Threshold Level
    3. Medicine Threshold Level
    4. None of the given
  9. 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.

    1. Independence on technology
    2. Dependence on technology
    3. None of these
  10. B-Tree is used as an index to provide access to records __________

    1. Without scanning the entire table
    2. By scanning the entire meta data
    3. By scanning the entire table
    4. None of the given
  11. To identify the __________ required we need to perform data profiling

    1. Degree of Transformation
    2. Complexity
    3. Cost
    4. Time
  12. Slice and Dice is changing the view of the data.

    1. true
    2. false
  13. A single database, couldn’t serve both operational high performance transaction processing and DSS, analytical processing, all at the same time.

    1. True
    2. False
  14. __________ modeling technique is more appropriate for data warehouses.

    1. entity-relationship
    2. dimensional
    3. physical
    4. None of the given
  15. The growth of master files and magnetic tapes exploded around the mid- _______.

    1. 1950s
    2. 1960s
    3. 1970s
    4. 1980s
  16. Taken jointly, the extract programs or naturally evolving systems formed a spider web, also known as

    1. Distributed Systems Architecture
    2. Legacy Systems Architecture
    3. Online Systems Architecture
    4. Intranet Systems Architecture
  17. DOLAP allows download of "cube" structures to a desktop platform with the need for shared relational or cube server.

    1. true
    2. false
  18. Virtual cube is used to query two similar cubes by creating a third "virtual" cube by a join between two cubes.

    1. true
    2. false
  19. Which of the following is not an "Orr’s Law of Data Quality"?

    1. “Data that is not used cannot be correct!”
    2. “Data quality is a function of its use, not its collection!”
    3. “Data will be no better than its most stringent use!”
    4. “Data duplication can be harmful for the organization!”
  20. 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 the computation.

    1. Larger
    2. Smaller
    3. Unambiguous
    4. Superior
  21. Many data warehouse project teams waste enormous amounts of time searching in vain for a ____________.

    1. Silver Bullet
    2. Golden Bullet
    3. Suitable Hardware
    4. Compatible Product
  22. 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.

    1. Operational
    2. Internal
    3. External
    4. None of the given
  23. Data Warehouse is about taking/collecting data from different ________ sources.

    1. Harmonized
    2. Identical
    3. Homogeneous
    4. Heterogeneous
  24. __________ gives total view of an organization.

    1. OLAP
    2. OLTP
    3. Data Warehouse
    4. Database
  25. 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.

    1. In Parallel
    2. Distributed
    3. Sequentially
    4. None of the given
  26. The goal of star schema design is to simplify ________.

    1. Logical data model
    2. Physical data model
    3. Conceptual data model
    4. None of the given
  27. The technique that is used to perform these feats in data mining is called modeling, and this act of model building is something that people have been doing for a long time, certainly before the _______ of computers or data mining technology.

    1. Access
    2. Advent
    3. Ascent
    4. Avowal
  28. It is observed that every year the amount of data recorded in an organization ________.

    1. Doubles
    2. Remains same as previous year
    3. Triples
    4. Quartiles
  29. Naturally Evolving architecture occurred when an organization had a _______ approach to handling the whole process of hardware and software architecture.

    1. Relaxed
    2. Good
    3. Not Relaxed
    4. None of the given
  30. In contrast to statistics, data mining is ______ driven.

    1. Assumption
    2. Knowledge
    3. Human
    4. Database
  31. People that design and build the data warehouse must be capable of working across the organization at all levels

    1. True
    2. False
  32. Data mining uses _________ algorithms to discover patterns and regularities in data.

    1. Mathematical
    2. Computational
    3. Statistical
    4. None of the given
  33. Ad-hoc access means to run such queries which are known already.

    1. true
    2. false
  34. Node of a B-Tree is stored in memory block and traversing a B-Tree involves ________ page faults.

    1. O (n lg n)
    2. O (lg n)
    3. O (n)
    4. O (n2)
  35. Relational databases allow you to navigate the data in ____________ that is appropriate using the primary, foreign key structure within the data model.

    1. Only One Direction
    2. Any Direction
    3. Two Direction
    4. None of the given
  36. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by _________ tools typical of decision support systems.

    1. Introspective
    2. Intuitive
    3. Reminiscent
    4. Retrospective
  37. The need to synchronize data upon update is called

    1. Data Imitation
    2. Data Manipulation
    3. Data Replication
    4. Data Coherency
  38. During business hours, most ________ systems should probably not use parallel execution.

    1. OLAP
    2. DSS
    3. Data Mining
    4. OLTP
  39. __________ is an application of information and data.

    1. Knowledge
    2. Intelligence
    3. Power
    4. Education
  40. 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.

    1. Base
    2. Drive
    3. File
    4. Log
  41. In a traditional MIS system, there is an almost linear sequence of queries.

    1. true
    2. false
  42. The goal of __________ is to look at as few blocks as possible to find the matching records(s).

    1. Indexing
    2. Partitioning
    3. Joining
    4. None of the given
  43. 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 _______.

    1. Validity
    2. Security
    3. Integrity
    4. None of the given
  44. There are many variants of the traditional nested-loop join. If there is an index and that index is exploited, then it is called _________.

    1. Naive nested-loop join
    2. Index nested-loop join
    3. Temporary index nested-loop join
    4. None of the given
  45. __________, if too big and does not fit into memory, will be expensive when used to find a record by given key.

    1. An Inverted Index
    2. A Sparse Index
    3. A Dense Index
    4. None of the given
  46. Analytical processing uses __________ , instead of record level access.

    1. multi-level aggregates
    2. Single-level aggregates
    3. Single-level hierarchy
    4. None of the Given
  47. There are many variants of the traditional nested-loop join. When the entire table is scanned it is called

    1. Index nested-loop join
    2. Naive nested-loop join
    3. Temporary index nested-loop join
    4. None of the given
  48. The users of data warehouse are knowledge workers in other words they are _________ in the organization.

    1. DWH Analyst
    2. Decision maker
    3. Database Administrator
    4. Manager
  49. Data mining, the ________ of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses.

    1. Extraction
    2. Insertion
    3. Inclusion
    4. Enclosure
  50. __________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.

    1. Clustering
    2. Aggregation
    3. Segmentation
    4. Partitioning
  51. Execution can be completed successfully or it may be stopped due to some error. If some error occurs, execution will be terminated abnormally and all transactions will be ___________

    1. Committed to the database
    2. Rolled back
  52. In _________ system, the contents change with time.

    1. OLTP
    2. ATM
    3. DSS
    4. OLAP
  53. The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.

    1. true
    2. false
  54. Cube is a ________ entity containing values of a certain fact at a certain aggregation level at an intersection of a combination of dimensions.

    1. Logical
    2. Physical
    3. Analytical
    4. None of the given
  55. The input to the data warehouse can come from OLTP or transactional system but not from other third party database.

    1. true
    2. false
  56. If every key in the data file is represented in the index file then index is _________.

    1. Dense Index
    2. Sparse Index
    3. Inverted Index
    4. None of the given
  57. In nested-loop join case, if there are ‘M’ rows in outer table and ‘N’ rows in inner table, time complexity is __________.

    1. O (M log N)
    2. O (log MN)
    3. O (MN)
    4. O (M + N)
  58. Suppose the amount of data recorded in an organization is doubled every year. This increase is __________.

    1. Linear
    2. Quadratic
    3. Exponential
    4. Logarithmic
  59. Which of the following is not an activity of Data Quality Analysis Project?

    1. “Define”
    2. “Measure”
    3. “Analyze”
    4. “Compression”
  60. Classification consists of examining the properties of a newly presented observation and assigning it to a predefined ____________.

    1. Object
    2. Container
    3. Subject
    4. Class
  61. Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.

    1. Mandatory
    2. Whole
    3. Analysis
    4. Prediction
  62. Data warehousing and on-line analytical processing (OLAP) are _______ elements of decision support system.

    1. Unusual
    2. Essential
    3. Optional
    4. None of the given
  63. __________, if fits into memory, costs only one disk I/O access to locate a record by given key.

    1. An Inverted Index
    2. A Sparse Index
    3. A Dense Index
    4. None of the given
  64. Multi-dimensional databases (MDDs) typically use ___________ formats to store pre-summarized cube structures.

    1. SQL
    2. proprietary file
    3. Object oriented
    4. Non- proprietary file
  65. A dense index, if fits into memory, costs only __________ disk I/O access to locate a record by given key.

    1. One
    2. Two
    3. Linear
    4. Quadratic
  66. The divide&conquer cube partitioning approach helps alleviate the __________ limitations of MOLAP implementation.

    1. Flexibility
    2. Maintainability
    3. Security
    4. Scalability
  67. 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 _________.

    1. Naive nested-loop join
    2. Index nested-loop join
    3. Temporary index nested-loop join
    4. None of the given