MCQOPTIONS
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MCQOPTIONS
This section includes 657 Mcqs, each offering curated multiple-choice questions to sharpen your Testing Subject knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
The biggest drawback of the level indicator in the classic star-schema is thatitlimits_________. |
| A. | Quantify |
| B. | Qualify |
| C. | Flexibility |
| D. | Ability |
| Answer» D. Ability | |
| 2. |
A fact is said to be fully additive if_________. |
| A. | It is additive over every dimension of its dimensionality |
| B. | Additive over at least one but not all of the dimensions |
| C. | Not additive over any dimension |
| D. | None of the above |
| Answer» B. Additive over at least one but not all of the dimensions | |
| 3. |
MDDB stands for _______________. |
| A. | Multiple data doubling |
| B. | Multidimensional databases |
| C. | Multiple double dimension |
| D. | Multi-dimension doubling |
| Answer» C. Multiple double dimension | |
| 4. |
In algorithm each cluster is represented by the center of gravity of the cluster |
| A. | K-medoid |
| B. | K-means |
| C. | Stirr |
| D. | Rock |
| Answer» C. Stirr | |
| 5. |
_________is an expensive process in building an expert system. |
| A. | Analysis |
| B. | Study |
| C. | Design |
| D. | Information collection |
| Answer» E. | |
| 6. |
can be thought of as classifying an attribute value into one of a set of possible classes |
| A. | Estimation. |
| B. | Prediction. |
| C. | Identification. |
| D. | Clarification |
| Answer» C. Identification. | |
| 7. |
A single axon makes of synapses with other neurons. |
| A. | Ones |
| B. | Hundreds |
| C. | Thousands |
| D. | Millions |
| Answer» D. Millions | |
| 8. |
If a set is a frequent set and no superset of this set is a frequent set, then it iscalled____________ |
| A. | Maximal frequent set |
| B. | Border set |
| C. | Lattice |
| D. | Infrequent sets |
| Answer» B. Border set | |
| 9. |
Over fitting occurs when a model_________. |
| A. | Does fit in future states |
| B. | Does not fit in future states |
| C. | Does fit in current state |
| D. | Does not fit in current state |
| Answer» C. Does fit in current state | |
| 10. |
A directory to help the DSS analyst locate the contents of the data warehouse isseen in__________. |
| A. | Current detail data |
| B. | Lightly summarized data |
| C. | Metadata |
| D. | Older detail data |
| Answer» D. Older detail data | |
| 11. |
Which of the following is not a old detail storage medium? |
| A. | Phot Optical Storage |
| B. | RAID |
| C. | Microfinche |
| D. | Pen drive |
| Answer» E. | |
| 12. |
SMP stands for________. |
| A. | Symmetric Multiprocessor |
| B. | Symmetric Multiprogramming |
| C. | Symmetric Metaprogramming |
| D. | Symmetric Microprogramming |
| Answer» B. Symmetric Multiprogramming | |
| 13. |
Non-additive measures can often combined with additive measures to create new_________. |
| A. | Additive measures |
| B. | Non-additive measures |
| C. | Partially additive |
| D. | All of the above |
| Answer» B. Non-additive measures | |
| 14. |
A predictive model makes use of______. |
| A. | Current data. |
| B. | Historical data. |
| C. | Both current and historical data. |
| D. | Assumptions |
| Answer» C. Both current and historical data. | |
| 15. |
The biological neuron's__________is a continuous function rather than a step function. |
| A. | Read. |
| B. | Write. |
| C. | Output. |
| D. | Input |
| Answer» D. Input | |
| 16. |
The source of all data warehouse data is the__________. |
| A. | Operational environment |
| B. | Informal environment |
| C. | Formal environment |
| D. | Technology environment |
| Answer» B. Informal environment | |
| 17. |
______ is called a multifield transformation. |
| A. | Converting data from one field into multiple fields |
| B. | Converting data from fields into field |
| C. | Converting data from double fields into multiple fields |
| D. | Converting data from one field to one field |
| Answer» B. Converting data from fields into field | |
| 18. |
MLP stands for . |
| A. | Mono layer perception |
| B. | Many layer perception |
| C. | More layer perception |
| D. | Multi-layer perception |
| Answer» E. | |
| 19. |
MFCS is the acronym of____________ |
| A. | Maximum Frequency Control Set |
| B. | Minimal Frequency Control Set |
| C. | Maximal Frequent Candidate Set |
| D. | Minimal Frequent Candidate Set |
| Answer» D. Minimal Frequent Candidate Set | |
| 20. |
_________is a metadata repository. |
| A. | Prism solution directory manager |
| B. | CORBA |
| C. | STUNT |
| D. | COBWEB |
| Answer» B. CORBA | |
| 21. |
_________data are noisy and have many missing attribute values. |
| A. | Preprocessed |
| B. | Cleaned |
| C. | Real-worl |
| D. | D Tr |
| Answer» E. | |
| 22. |
In web mining, is used to know which URLs tend to be requested together. |
| A. | Clustering |
| B. | Associations |
| C. | Sequential analysis |
| D. | Classification |
| Answer» C. Sequential analysis | |
| 23. |
All set of items whose support is greater than the user-specified minimum support are calledas_____________ |
| A. | Border set |
| B. | Frequent set |
| C. | Maximal frequent set |
| D. | Lattice |
| Answer» C. Maximal frequent set | |
| 24. |
Which of the following is an operation in genetic algorithm? |
| A. | Inversion |
| B. | Dominance |
| C. | Genetic edge recombination |
| D. | All of the above |
| Answer» E. | |
| 25. |
The number of iterations in a priori |
| A. | Increases with the size of the maximum frequent set |
| B. | Decreases with increase in size of the maximum frequent set |
| C. | Increases with the size of the data |
| D. | Decreases with the increase in size of the data |
| Answer» B. Decreases with increase in size of the maximum frequent set | |
| 26. |
___________proposed the approach for data integration issues. |
| A. | Ralph Campbell |
| B. | Ralph Kimball |
| C. | John Raphlin |
| D. | James Gosling |
| Answer» C. John Raphlin | |
| 27. |
The mutation operator . |
| A. | Recombine the population's genetic material |
| B. | Introduce new genetic structures in the population |
| C. | To modify the population's genetic material |
| D. | All of the above |
| Answer» C. To modify the population's genetic material | |
| 28. |
In each cluster is represented by one of the objects of the cluster located near the center |
| A. | K-medoid |
| B. | K-means |
| C. | Stirr |
| D. | Rock |
| Answer» B. K-means | |
| 29. |
The load and index is_______. |
| A. | A process to reject data from the data warehouse and to create the necessary indexes |
| B. | A process to load the data in the data warehouse and to create the necessary indexes |
| C. | A process to upgrade the quality of data after it is moved into a data warehouse |
| D. | A process to upgrade the quality of data before it is moved into a data warehouse |
| Answer» C. A process to upgrade the quality of data after it is moved into a data warehouse | |
| 30. |
The__________propose a measure of standing a node based on path counting. |
| A. | Open we |
| B. | B Close web |
| C. | Link web |
| D. | Hidden web |
| Answer» C. Link web | |
| 31. |
The type of relationship in star schema is_________. |
| A. | Many-to-many |
| B. | One-to-one |
| C. | One-to-many |
| D. | Many-to-one |
| Answer» D. Many-to-one | |
| 32. |
Which of the following is a descriptive model? |
| A. | Classification |
| B. | Regression |
| C. | Sequence discovery |
| D. | Association rules |
| Answer» D. Association rules | |
| 33. |
The rise of DBMS occurred in early _______. |
| A. | 1950's |
| B. | 1960's |
| C. | 1970's |
| D. | 1980's |
| Answer» D. 1980's | |
| 34. |
The value that says that transactions in D that support X also support Y is called__________. |
| A. | Confidence |
| B. | Support |
| C. | Support count |
| D. | None of the above |
| Answer» B. Support | |
| 35. |
The data administration subsystem helps you perform all of the following, except_________. |
| A. | Backups and recovery |
| B. | Query optimization |
| C. | Security management |
| D. | Create, change, and delete information |
| Answer» E. | |
| 36. |
Data warehouse architecture is based on___________. |
| A. | DBMS |
| B. | RDBMS |
| C. | Sybase |
| D. | SQL Server |
| Answer» C. Sybase | |
| 37. |
If an itemset is not a frequent set and no superset of this is a frequent set, then it is |
| A. | Maximal frequent set |
| B. | Border set |
| C. | Upward closure property |
| D. | Downward closure property |
| Answer» C. Upward closure property | |
| 38. |
Certain itemsets in the dashed circle whose support count reach support valueduring an iteration move into the______________ |
| A. | Dashed box |
| B. | Solid circle |
| C. | Solid box |
| D. | None of the above |
| Answer» B. Solid circle | |
| 39. |
Are highly simplified models of biological neurons? |
| A. | Artificial neurons |
| B. | Computational neurons |
| C. | Biological neurons |
| D. | Technological neurons |
| Answer» B. Computational neurons | |
| 40. |
How many components are there in a data warehouse? |
| A. | Two |
| B. | Three |
| C. | Four |
| D. | Five |
| Answer» E. | |
| 41. |
The RSES system was developed in . |
| A. | Poland |
| B. | Italy |
| C. | Englan |
| D. | D America |
| Answer» B. Italy | |
| 42. |
The main organizational justification for implementing a data warehouse is toprovide__________. |
| A. | Cheaper ways of handling transportation |
| B. | Decision support |
| C. | Storing large volume of data |
| D. | Access to data |
| Answer» D. Access to data | |
| 43. |
Which of the following is a clustering algorithm? |
| A. | A priori |
| B. | CLARA |
| C. | Pincer-Search |
| D. | FP-growth |
| Answer» C. Pincer-Search | |
| 44. |
___________is data that is distilled from the low level of detail found at the current detailedleve. |
| A. | Highly summarized data |
| B. | Lightly summarized data |
| C. | Metadata |
| D. | Older detail data |
| Answer» C. Metadata | |
| 45. |
Effect of one attribute value on a given class is independent of values of other attribute iscalled____________. |
| A. | Value independence |
| B. | Class conditional independence |
| C. | Conditional independence |
| D. | Unconditional independence |
| Answer» B. Class conditional independence | |
| 46. |
__________are some popular OLAP tools. |
| A. | Metacube, Informix |
| B. | Oracle Express, Essbase |
| C. | HOLAP |
| D. | MOLAP |
| Answer» B. Oracle Express, Essbase | |
| 47. |
The important aspect of the data warehouse environment is that data found within the datawarehouse is__________. |
| A. | subject-oriented |
| B. | time-variant |
| C. | integrate |
| D. | D All of the above |
| Answer» E. | |
| 48. |
Business Intelligence and data warehousing is used for________. |
| A. | Forecasting |
| B. | Data Mining |
| C. | Analysis of large volumes of product sales data |
| D. | All of the above |
| Answer» E. | |
| 49. |
Data marts that incorporate data mining tools to extract sets of data are called_________. |
| A. | Independent data mart |
| B. | Dependent data marts |
| C. | Intra-entry data mart |
| D. | Inter-entry data mart |
| Answer» C. Intra-entry data mart | |
| 50. |
data consists of sample input data as well as the classification assignment for the data |
| A. | Missing. |
| B. | Measuring. |
| C. | Non-training. |
| D. | Training |
| Answer» C. Non-training. | |