MCQOPTIONS
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MCQOPTIONS
This section includes 347 Mcqs, each offering curated multiple-choice questions to sharpen your Computer Science Engineering (CSE) knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
In a feed- forward networks, the conncetions between layers are ___________ from input tooutput. |
| A. | bidirectional. |
| B. | unidirectional. |
| C. | multidirectional. |
| D. | directional. |
| Answer» C. multidirectional. | |
| 2. |
The ___________is a long, single fibre that originates from the cell body. |
| A. | axon. |
| B. | neuron. |
| C. | dendrites. |
| D. | strands. |
| Answer» B. neuron. | |
| 3. |
Query tool is meant for __________. |
| A. | data acquisition. |
| B. | information delivery. |
| C. | information exchange. |
| D. | communication. |
| Answer» B. information delivery. | |
| 4. |
___________ training may be used when a clear link between input data sets and target output valuesdoes not exist. |
| A. | competitive. |
| B. | perception. |
| C. | supervised. |
| D. | unsupervised. |
| Answer» E. | |
| 5. |
Data scrubbing 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» E. | |
| 6. |
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. | |
| 7. |
RBF hidden layer units have a receptive field which has a ____________; that is, a particular inputvalue at which they have a maximal output. |
| A. | top. |
| B. | bottom. |
| C. | centre. |
| D. | border. |
| Answer» D. border. | |
| 8. |
The RSES system was developed in ___________. |
| A. | poland. |
| B. | italy. |
| C. | england. |
| D. | america. |
| Answer» B. italy. | |
| 9. |
__________ is used to proceed from very specific knowledge to more general information. |
| A. | induction. |
| B. | compression. |
| C. | approximation. |
| D. | substitution. |
| Answer» B. compression. | |
| 10. |
Synapse is |
| A. | A class of graphic techniques used to visualize the contents of a database |
| B. | The division of a certain space into various areas based on guide points. |
| C. | A branch that connects one node to another |
| D. | None of these |
| Answer» D. None of these | |
| 11. |
The dimension tables describe the _________. |
| A. | entities. |
| B. | facts. |
| C. | keys. |
| D. | units of measures. |
| Answer» C. keys. | |
| 12. |
Bill Inmon has estimated___________of the time required to build a data warehouse, is consumed inthe conversion process. |
| A. | 10 percent. |
| B. | 20 percent. |
| C. | 40 percent |
| D. | 80 percent. |
| Answer» E. | |
| 13. |
Metadata contains atleast _________. |
| A. | the structure of the data. |
| B. | the algorithms used for summarization. |
| C. | the mapping from the operational environment to the data warehouse. |
| D. | all of the above. |
| Answer» E. | |
| 14. |
The data from the operational environment enter _______ of data warehouse. |
| A. | current detail data. |
| B. | older detail data. |
| C. | lightly summarized data. |
| D. | highly summarized data. |
| Answer» B. older detail data. | |
| 15. |
Massively parallel machine is |
| A. | A programming language based on logic |
| B. | A computer where each processor has its own operating system, its own memory, and its own hard disk |
| C. | Describes the structure of the contents of a database. |
| D. | None of these |
| Answer» C. Describes the structure of the contents of a database. | |
| 16. |
Converting data from different sources into a common format for processing is called as________. |
| A. | selection. |
| B. | preprocessing |
| C. | transformation |
| D. | interpretation |
| Answer» D. interpretation | |
| 17. |
Effect of one attribute value on a given class is independent of values of other attribute is called_________. |
| A. | value independence. |
| B. | class conditional independence. |
| C. | conditional independence. |
| D. | unconditional independence. |
| Answer» B. class conditional independence. | |
| 18. |
Bill Inmon has estimated___________of the time required to build a data warehouse, is consumedin the conversion process. |
| A. | 10 percent. |
| B. | 20 percent. |
| C. | 40 percent |
| D. | 80 percent. |
| Answer» E. | |
| 19. |
Genetic algorithms are search algorithms based on the mechanics of natural_______. |
| A. | systems. |
| B. | genetics. |
| C. | logistics. |
| D. | statistics. |
| Answer» C. logistics. | |
| 20. |
________is a generalization of Manhattan, Euclidean and Max Distance |
| A. | euclidean distance |
| B. | minkowski distance |
| C. | manhattan distance |
| D. | jaccard distance |
| Answer» C. manhattan distance | |
| 21. |
Which small logical units do data warehouses hold large amounts of information? |
| A. | data storage |
| B. | data marts |
| C. | access layers |
| D. | data miners |
| Answer» C. access layers | |
| 22. |
Key is referred to |
| A. | Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A) |
| B. | Set of columns in a database table that can be used to identify each record within this table uniquely |
| C. | collection of interesting and useful patterns in a database |
| D. | none of these |
| Answer» C. collection of interesting and useful patterns in a database | |
| 23. |
SOMs are used to cluster a specific _____________ dataset containing information about thepatient's drugs etc. |
| A. | physical. |
| B. | logical. |
| C. | medical. |
| D. | technical. |
| Answer» D. technical. | |
| 24. |
____________ of data means that the attributes within a given entity are fully dependent on theentire primary key of the entity. |
| A. | additivity. |
| B. | granularity. |
| C. | functional dependency. |
| D. | dependency. |
| Answer» D. dependency. | |
| 25. |
Classification rules are extracted from _____________. |
| A. | root node. |
| B. | decision tree. |
| C. | siblings. |
| D. | branches. |
| Answer» C. siblings. | |
| 26. |
Investment analysis used in neural networks is to predict the movement of _________ fromprevious data. |
| A. | engines. |
| B. | stock. |
| C. | patterns. |
| D. | models. |
| Answer» C. patterns. | |
| 27. |
Rule based classification algorithms generate ______ rule to perform the classification. |
| A. | if-then. |
| B. | while. |
| C. | do while. |
| D. | switch. |
| Answer» B. while. | |
| 28. |
GAs were developed in the early _____________. |
| A. | 1970. |
| B. | 1960. |
| C. | 1950. |
| D. | 1940. |
| Answer» B. 1960. | |
| 29. |
Data that are not of interest to the data mining task is called as ______. |
| A. | missing data. |
| B. | changing data. |
| C. | irrelevant data. |
| D. | noisy data. |
| Answer» D. noisy data. | |
| 30. |
Cardinality of an attribute is |
| A. | It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/ output traffic |
| B. | The number of different values that a given attribute can take |
| C. | A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles |
| D. | None of these |
| Answer» C. A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles | |
| 31. |
Dimensionality reduction reduces the data set size by removing ____________. |
| A. | relevant attributes. |
| B. | irrelevant attributes. |
| C. | derived attributes. |
| D. | composite attributes. |
| Answer» C. derived attributes. | |
| 32. |
Decision support systems (DSS) is |
| A. | A family of relational database management systems marketed by IBM |
| B. | Interactive systems that enable decision makers to use databases and models on a computer in order to solve ill- structured problems |
| C. | It consists of nodes and branches starting from a single root node. Each node represents a test, or decision. |
| D. | None of these |
| Answer» C. It consists of nodes and branches starting from a single root node. Each node represents a test, or decision. | |
| 33. |
Vector |
| A. | It do not need the control of the human operator during their execution. |
| B. | An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars. |
| C. | The validation of a theory on the basis of a finite number of examples. |
| D. | None of these |
| Answer» C. The validation of a theory on the basis of a finite number of examples. | |
| 34. |
________________ is a data transformation process. |
| A. | comparison. |
| B. | projection. |
| C. | selection. |
| D. | filtering. |
| Answer» E. | |
| 35. |
_______________ helps to integrate, maintain and view the contents of the data warehousing system. |
| A. | business directory. |
| B. | information directory. |
| C. | data dictionary. |
| D. | database. |
| Answer» C. data dictionary. | |
| 36. |
The most common source of change data in refreshing a data warehouse is _______. |
| A. | queryable change data. |
| B. | cooperative change data. |
| C. | logged change data. |
| D. | snapshot change data. |
| Answer» B. cooperative change data. | |
| 37. |
Falsification is |
| A. | Modular design of a software application that facilitates the integration of new modules |
| B. | Showing a universal law or rule to be invalid by providing a counter example |
| C. | A set of attributes in a database table that refers to data in another table |
| D. | None of these |
| Answer» C. A set of attributes in a database table that refers to data in another table | |
| 38. |
After the pruning of a priori algorithm, _______ will remain. |
| A. | only candidate set. |
| B. | no candidate set. |
| C. | only border set. |
| D. | no border set. |
| Answer» C. only border set. | |
| 39. |
GA was introduced in the year __________. |
| A. | 1955. |
| B. | 1965. |
| C. | 1975. |
| D. | 1985. |
| Answer» D. 1985. | |
| 40. |
_____________ is a complex chemical process in neural networks. |
| A. | receiving process. |
| B. | sending process. |
| C. | transmission process. |
| D. | switching process. |
| Answer» D. switching process. | |
| 41. |
A link is said to be _________ link if it is between pages with different domain names. |
| A. | intrinsic. |
| B. | transverse. |
| C. | direct. |
| D. | contrast. |
| Answer» C. direct. | |
| 42. |
The problem of dimensionality curse involves ___________. |
| A. | the use of some attributes may interfere with the correct completion of a data mining task. |
| B. | the use of some attributes may simply increase the overall complexity. |
| C. | some may decrease the efficiency of the algorithm. |
| D. | all of the above. |
| Answer» E. | |
| 43. |
Prediction can be viewed as forecasting a_________value. |
| A. | non-continuous. |
| B. | constant. |
| C. | continuous. |
| D. | variable. |
| Answer» D. variable. | |
| 44. |
Itemsets in the ______ category of structures have a counter and the stop number with them. |
| A. | dashed. |
| B. | circle. |
| C. | box. |
| D. | solid. |
| Answer» B. circle. | |
| 45. |
Subject orientation |
| A. | The science of collecting, organizing, and applying numerical facts |
| B. | Measure of the probability that a certain hypothesis is incorrect given certain observations. |
| C. | One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A) |
| D. | None of these |
| Answer» D. None of these | |
| 46. |
The KDD process consists of ________ steps. |
| A. | three. |
| B. | four. |
| C. | five. |
| D. | six. |
| Answer» D. six. | |
| 47. |
The basic idea of the apriori algorithm is to generate________ item sets of a particular size & scansthe database. |
| A. | candidate. |
| B. | primary. |
| C. | secondary. |
| D. | superkey. |
| Answer» B. primary. | |
| 48. |
The first phase of A Priori algorithm is _______. |
| A. | candidate generation. |
| B. | itemset generation. |
| C. | pruning. |
| D. | partitioning. |
| Answer» B. itemset generation. | |
| 49. |
MDDB stands for ___________. |
| A. | multiple data doubling. |
| B. | multidimensional databases. |
| C. | multiple double dimension. |
| D. | multi-dimension doubling. |
| Answer» C. multiple double dimension. | |
| 50. |
____________ are a different paradigm for computing which draws its inspiration fromneuroscience. |
| A. | computer networks. |
| B. | neural networks. |
| C. | mobile networks. |
| D. | artificial networks. |
| Answer» C. mobile networks. | |