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 does the use of 'lazy loading' in an ORM framework like Hibernate affect database performance?
- Decreases performance by loading all data at once
- Depends on the specific use case
- Has no impact on performance
- Increases performance by loading data on demand
'Lazy loading' in Hibernate increases performance by loading data on demand, reducing the initial load time and resource consumption.
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.
In a high-traffic web application, what approaches can be used to minimize the load on the database server?
- Connection Pooling, Data Sharding, Denormalization, Partitioning
- Content Delivery Network (CDN), Load Balancing, Caching, Query Optimization
- Database Replication, Vertical Scaling, Horizontal Scaling, Compression
- Stored Procedures, Asynchronous Processing, Logging, Normalization
Approaches like using CDN, load balancing, caching, and query optimization can help minimize the load on the database server in a high-traffic web application.