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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)