CUSTOMER_CODE
SMUDE
DIVISION_CODE
SMUDE
EVENT_CODE
OCTOBER15
ASSESSMENT_CODE MC0077_OCTOBER15
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
3121
QUESTION_TEXT
Explain the process of Text Retrieval using SQL3/TextRetrieval
SCHEME OF
EVALUATION
SQL3 supports storage of multimedia data, such as text documents, in
an or-database using the blob/clob data types. Seekers of information
from text-based documents, commonly use ‘free text’ queries. (4 marks)
Basically, the new-to SQL3-functionality includes:
*Indexing routines: for the various types of media data.
*Selection operator for the SQL3 WHERE clause for specification of
selection criteria for media retrieval.
*Text processing subsystems for similarity evaluation and result
ranking. (6 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
3123
QUESTION_TEXT
Discuss the classification of data in Fuzzy Databases
SCHEME OF
EVALUATION
1.Crisp: there is no vagueness
2.Fuzzy: there is vagueness in the information and this can be divided
into two subparts
a.Approximate value: the information data is not totally vague and there
is some approximate value, which is known and the data, lies near that
value.
b.Linguistic variable: it is a variable that apart from representing a fuzzy
number also representing a fuzzy number also represents linguistic
concepts interpreted in a particular context. A linguistic variable is fully
characterized by a quintuple<v, T, X, g, m> (10 marks)
QUESTION_T
DESCRIPTIVE_QUESTION
YPE
QUESTION_ID 74081
QUESTION_T
Briefly explain the characteristics of text documents and characteristics of images.
EXT
SCHEME OF
EVALUATION
Characteristics of Text Documents
Text documents can be considered semi-structured in the sense that they are
constructed from a defined term vocabulary according to known grammatical rules
for forming sentences and paragraphs. As documents, they also share some
common elements such as an author, title, date of origin, a (set of) title(s), and
perhaps a recipient. A text document can be described from 3 perspectives:
1. Semantic content of the document, i.e. representation of its meaning,
2. Context of the document, e.g. its author, publisher
3. Structure of the document, e.g. its language, style, length, ...
Context and structure descriptors can be given as regular attributes of the document
and can be modeled using any structural data model. Modeling the semantic content
is more difficult.
Characteristics of Images
Image documents are represented as unstructured data, actually by a bit or pixel
(picture element) string. As opposed to text documents, they do not have a standard
'vocabulary' or grammar that can be used for automatic interpretation of the semantic
content, or meaning of the image. Instead, most image management systems use
manual annotations, such as title/caption, keywords and/or text descriptions, to
capture semantic interpretation. Since an image can be viewed as a document, the
same types of metadata as used in Dublin Core can capture context metadata, while
structural descriptors would include such characteristics as size in height and width,
materials used, and implementation format.
In addition to text annotations, the semantic content of images can be described by
content descriptors, frequently called features. Image features can be classified
according to their level of abstraction, or distance from the actual physical content of
the image:
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
112437
QUESTION_TEXT
Explain the different reasons for using replication
1.
SCHEME OF EVALUATION 2.
3.
Availability
Performance
Disconnected computing
4.
Network local Reduction
5.
Mass Deployment
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
112440
QUESTION_TEXT
Define fuzzy sets. Explain need for fuzzy database and techniques of
fuzziness in databases.
Fuzzy set (3 marks)
Need for fuzzy database (3.5 marks)
SCHEME OF
EVALUATION
Techniques for implementation of fuzziness (3.5 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
112441
QUESTION_TEXT
Write a note on Database Tuning
Performance is the way a computer system behaves given a particular
work load. Performance is measured in terms of system response time,
throughput, and availability. Performance is also affected by: The
resources available in your system and How well those resources are
used and shared.
(3 marks)
In general, you tune your system to improve its cost-benefit ratio.
Specific goals could include: Processing a larger, or more demanding,
work load without increasing processing costs.
SCHEME OF
EVALUATION
(2 marks)
For example, to increase the work load without buying new hardware or
using more processor time:
>
Obtaining faster system response times, or higher throughput,
without increasing processing costs.
>
Reducing processing costs without degrading service to your
users.
(2 marks)
Translating performance from technical terms to economic terms is
difficult. Performance tuning certainly costs money in terms of user time
as well as processor time, so before you undertake a tuning project,
weighs its costs against its possible benefits. Some of these benefits are
tangible: More efficient use of resources.The ability to add more users to
the system.
(3 marks)