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

Data Warehousing (CS614)

Multiple Choice Questions (MCQs)

Objective Questions

  1. As opposed to the outcome of classification, estimation deal with __________ valued outcome.

    1. Discrete
    2. Isolated
    3. Continuous
    4. Distinct
  2. 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
  3. __________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.

    1. Clustering
    2. Aggregation
    3. Segmentation
    4. Partitioning
  4. 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
  5. 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
  6. Data mining uses _________ algorithms to discover patterns and regularities in data.

    1. Mathematical
    2. Computational
    3. Statistical
    4. None of the given
  7. 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
  8. 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
  9. 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
  10. 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
  11. __________, 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
  12. 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
  13. 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
  14. __________, 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
  15. 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
  16. 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
  17. 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
  18. The divide&conquer cube partitioning approach helps alleviate the __________ limitations of MOLAP implementation.

    1. Flexibility
    2. Maintainability
    3. Security
    4. Scalability
  19. 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
  20. 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
  21. The performance in a MOLAP cube comes from the O(1) look-up time for the array data structure.

    1. true
    2. false
  22. Slice and Dice is changing the view of the data.

    1. true
    2. false
  23. DOLAP allows download of "cube" structures to a desktop platform with the need for shared relational or cube server.

    1. true
    2. false
  24. In a traditional MIS system, there is an almost linear sequence of queries.

    1. true
    2. false
  25. Data Warehouse provides the best support for analysis while OLAP carries out the _________ task.

    1. Mandatory
    2. Whole
    3. Analysis
    4. Prediction
  26. 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
  27. 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
  28. 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)
  29. Data Warehouse is about taking/collecting data from different ________ sources.

    1. Harmonized
    2. Identical
    3. Homogeneous
    4. Heterogeneous
  30. 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
  31. 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
  32. 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
  33. __________ gives total view of an organization.

    1. OLAP
    2. OLTP
    3. Data Warehouse
    4. Database
  34. 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
  35. The input to the data warehouse can come from OLTP or transactional system but not from other third party database.

    1. true
    2. false
  36. In _________ system, the contents change with time.

    1. OLTP
    2. ATM
    3. DSS
    4. OLAP
  37. Ad-hoc access means to run such queries which are known already.

    1. true
    2. false
  38. Suppose the amount of data recorded in an organization is doubled every year. This increase is __________.

    1. Linear
    2. Quadratic
    3. Exponential
    4. Logarithmic
  39. The growth of master files and magnetic tapes exploded around the mid- _______.

    1. 1950s
    2. 1960s
    3. 1970s
    4. 1980s
  40. 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
  41. 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
  42. The need to synchronize data upon update is called

    1. Data Imitation
    2. Data Manipulation
    3. Data Replication
    4. Data Coherency
  43. __________ is an application of information and data.

    1. Knowledge
    2. Intelligence
    3. Power
    4. Education
  44. 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
  45. 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
  46. 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)
  47. In contrast to statistics, data mining is ______ driven.

    1. Assumption
    2. Knowledge
    3. Human
    4. Database
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. During business hours, most ________ systems should probably not use parallel execution.

    1. OLAP
    2. DSS
    3. Data Mining
    4. OLTP
  54. 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
  55. __________ modeling technique is more appropriate for data warehouses.

    1. entity-relationship
    2. dimensional
    3. physical
    4. None of the given
  56. __________ 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. People that design and build the data warehouse must be capable of working across the organization at all levels

    1. True
    2. False
  62. 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
  63. 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
  64. To identify the __________ required we need to perform data profiling

    1. Degree of Transformation
    2. Complexity
    3. Cost
    4. Time
  65. 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!”
  66. Which of the following is not an activity of Data Quality Analysis Project?

    1. “Define”
    2. “Measure”
    3. “Analyze”
    4. “Compression”
  67. 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