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CUSTOMER_CODE
SMUDE
DIVISION_CODE
SMUDE
EVENT_CODE
JAN2016
ASSESSMENT_CODE MC0077_JAN2016
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
3124
QUESTION_TEXT
What are the differences in distributed and centralized
databases
SCHEME OF
EVALUATION
a.Centralized control vs. Decentralized control
b.Data independence
c.Reduction of redundancy
d.Complex physical structure and efficient access (5 marks)
e.Integrity, Recovery and concurrency control
f.Privacy and security
g.Distributed query processing
h.Distributed directory management (5 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
3126
QUESTION_TEXT
Define CBIR. Explain CBIR image content
CBIR (2 marks)
a.Using content descriptors: color and texture (2 marks)
SCHEME OF EVALUATION b.Identifying shapes- image object (2 marks)
c.Streamed image retrieval –video (2 marks)
d.Improving result quality (2 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
74083
QUESTION_TEXT
Write a note on
a. Read only materialization view.
b. Updatable materialized view
SCHEME OF
EVALUATION
Read-Only Materialized Views
In a basic configuration, materialized views can provide read-only access to the
table data that originates from a master site or master materialized view site.
Applications can query data from Read-Only Materialized Views to avoid
network access to the master site, regardless of network availability. However,
applications throughout the system must access data at the master site to
perform data manipulation language changes (DML). Figure 9.5 illustrates
basic, read-only replication. The master tables and master materialized views
of read-only materialized views do not need to belong to a replication group.
Updatable Materialized Views
In a more advanced configuration, you can create an Updatable Materialized
View that allows users to insert, update, and delete rows of the target master
table or master materialized view by performing these operations on the
materialized view. An updatable materialized view may also contain a subset of
the data in the target master.
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
112436
QUESTION_TEXT
Explain the different data mining function
Functions:1.
Classification
2.
Associations
3.
Sequential/ Temporal patterns
4.
Clustering/Segmentation
5.
Market-Basket Analysis
SCHEME OF EVALUATION
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
112437
QUESTION_TEXT
Explain the different reasons for using replication
1.
Availability
2.
Performance
SCHEME OF EVALUATION 3.
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)