Develop the design of a Library Management Web Application using Spring Boot. Your solution should include:

 Discuss the importance of exception handling and logging in enterprise web applications. Evaluate how proper logging improves application maintenance and debugging.

A banking application requires strong authentication and authorization. Evaluate different security mechanisms provided by Spring Security, including authentication, authorization, password encoding and session management. Recommend an appropriate security strategy with justification.
Q8: (a) Explain the importance of software testing in web applications. Evaluate the usefulness of unit testing, integration testing and security testing in ensuring application qualit

 Explain how Spring Data JPA simplifies database programming compared to traditional DAO implementation. Support your answer with suitable examples.

 Compare Hibernate and JDBC for database application development. Analyze their advantages, limitations and suitable application scenarios.

 Analyze the differences between Spring MVC and Spring Boot with respect to architecture, configuration, deployment, scalability and development effort. Discuss situations where each framework is most appropriate

 A university wishes to develop an online student registration system. Explain how JDBC can be used to connect the application with a relational database. Illustrate the steps involved in establishing the connection, executing SQL statements and handling exceptions.

 Write a Servlet program that accepts employee details from an HTML form and displays the
submitted information on another web page. 

 Write a JSP program that accepts two numbers from a user and displays their Greatest Common Divisor (GCD). Explain the execution of your program.

Explain the HTTP request-response cycle. Describe how request parameters, headers and cookies are exchanged between a client and a web server. 

Explain the Servlet life cycle with the help of a neat diagram. Discuss the purpose of each lifecycle method. 

Explain the layered architecture of a modern Java web application. Discuss the role of Presentation Layer, Business Layer, Persistence Layer and Database Layer. 

Define the following terms with suitable examples: (5Marks)i. Design Pattern
ii. Web Application
iii. Servlet Container
iv. JSP
v. Dependency Injection

 Discuss emerging trends in data warehousing and data mining such as cloud data warehouses, big data analytics, text mining, web mining and data stream mining. Explain how these technologies enhance business intelligence. 

Differentiate partitioning, hierarchical and density-based clustering techniques. Discuss the working of K-means and DBSCAN and compare their suitability for real-world applications involving noisy data. 

 Compare decision tree, Naïve Bayes, k-nearest neighbour and support vector machine classifiers. Recommend the most appropriate algorithm for credit-risk prediction with justification.

Explain the working of association rule mining using an illustrative transaction dataset. Describe the Apriori algorithm and interpret support, confidence and lift for generated rules. 

 A financial institution has noisy, missing and inconsistent customer data. Explain suitable data preprocessing techniques including cleaning, integration, transformation, reduction and discretization before mining.

: Compare OLTP and OLAP systems with suitable examples. Discuss OLAP operations (roll-up, drill-down, slice, dice and pivot) and explain how they support managerial decision making.

Explain the complete ETL process for integrating data from e-commerce, ERP and CRM systems into a data warehouse. Discuss common data quality issues and suitable transformation strategies.