When should you choose PreparedStatement over Statement in JDBC?
- Execute multiple queries efficiently
- Execute parameterized queries
- Improve query optimization
- Simplify complex join operations
The PreparedStatement in JDBC is used to execute parameterized queries, which helps prevent SQL injection and improves performance by reusing the compiled query plan. It is suitable when you need to execute the same SQL statement multiple times with different parameters.
What is the advantage of using CallableStatement in JDBC?
- Execute SQL queries with parameters
- Execute stored procedures
- Improve connection pooling
- Streamline complex transactions
The CallableStatement in JDBC is used to execute stored procedures, providing a way to encapsulate and execute multiple SQL statements as a single unit. This enhances code modularity, reusability, and security by allowing the use of stored procedures in the database.
How does transaction isolation level impact database performance and consistency?
- Control concurrency issues
- Ensure data consistency
- Increase transaction throughput
- Read uncommitted data
The transaction isolation level in JDBC determines the degree to which one transaction can affect another. Choosing the appropriate isolation level balances performance and consistency. Lower levels improve performance but may introduce consistency issues, while higher levels enhance consistency at the expense of performance.
How is an asynchronous task started in a servlet?
- asyncTask.start()
- beginAsync()
- initAsync()
- startAsync()
An asynchronous task in a servlet is started using the startAsync() method. This method initiates asynchronous processing and returns an AsyncContext for managing the asynchronous task.
How is a servlet configured in a web application?
The tag is used to define a servlet in the web.xml file. The element specifies the fully qualified name of the servlet class, providing the configuration necessary for the servlet container to manage the servlet.
The practice of breaking down a transaction into smaller parts to reduce locking is known as _________.
- Batch Processing
- Fragmentation
- Isolation
- Partitioning
The practice of breaking down a transaction into smaller parts to reduce locking is known as Batch Processing, where a transaction is divided into smaller batches to minimize the duration of locks and increase concurrency.
In database optimization, _________ refers to the process of storing frequently accessed data in a temporary storage area.
- caching
- indexing
- locking
- normalization
In database optimization, caching refers to the process of storing frequently accessed data in a temporary storage area, reducing the need to fetch it from the original source repeatedly.
_________ in JDBC helps in reusing the same connection for multiple database operations.
- CallableStatement
- Connection Pooling
- PreparedStatement
- ResultSet
Connection Pooling in JDBC helps in reusing the same connection for multiple database operations, enhancing efficiency and reducing the overhead of opening and closing connections repeatedly.
An ORM framework's ability to automatically generate SQL queries from object-oriented code is known as _________.
- Auto-Generating
- Caching
- Lazy Loading
- Mapping
The ability of an ORM framework to automatically generate SQL queries from object-oriented code is known as Auto-Generating, streamlining the process of interacting with databases using object-oriented code.
A developer is optimizing an application that frequently queries a large database. What strategies should be considered?
- Caching, Database Indexing, Query Optimization, Load Balancing
- Data Sharding, Denormalization, Connection Pooling, Logging
- Partitioning, Asynchronous Processing, Compression, Replication
- Stored Procedures, Vertical Scaling, Horizontal Scaling, Normalization
Strategies such as caching, database indexing, query optimization, and load balancing can be effective in optimizing an application that frequently queries a large database.