When is it necessary to consider thread safety in the development of a servlet?

  • Always, whenever the servlet is handling concurrent requests
  • Only when the servlet is handling file uploads
  • When the servlet has static variables
  • When the servlet is used in a single-threaded environment
It is necessary to consider thread safety in the development of a servlet whenever the servlet is handling concurrent requests to ensure that multiple threads can access the servlet without causing conflicts or data corruption.

How can you avoid concurrency issues in a servlet without using synchronization?

  • Implement single-threaded model
  • Optimize database queries
  • Use synchronized blocks
  • Use volatile variables
Concurrency issues can be avoided by implementing a single-threaded model where a servlet processes one request at a time, eliminating the need for synchronization.

In what scenarios is it safe to have instance variables in a servlet?

  • Always safe
  • Never safe
  • When shared across sessions
  • When thread safety is guaranteed
Instance variables in a servlet are safe when they are shared across sessions and thread safety is guaranteed, ensuring that multiple requests can access them concurrently without issues.

The __________ pattern is often used to manage shared resources in a thread-safe manner in servlets.

  • Decorator
  • Factory
  • Observer
  • Singleton
The Singleton pattern is often used to manage shared resources in a thread-safe manner in servlets, ensuring that only one instance of the resource is created.

Servlets can be made thread-safe by making shared resources __________.

  • abstract
  • final
  • synchronized
  • volatile
Servlets can be made thread-safe by making shared resources synchronized, which ensures that only one thread can access the resource at a time.

Thread safety in servlets can be enhanced by using _________ scoped variables instead of instance variables.

  • application
  • page
  • request
  • session
Thread safety in servlets can be enhanced by using application scoped variables instead of instance variables. This ensures shared data is accessible to all users but is stored at the application level, reducing thread safety issues.

Describe a scenario where it's more efficient to use local variables instead of instance variables in a servlet.

  • When the variable is used within a single servlet method.
  • When the variable needs to be accessed from different sessions.
  • When the variable needs to retain state across multiple requests.
  • When the variable should be shared among different servlet instances.
Local variables are more efficient when the variable's scope is limited to a single method and doesn't need to retain state between requests. This reduces the memory footprint and avoids unnecessary storage of data that doesn't persist beyond the method execution.

What is the primary purpose of load balancing in web applications?

  • Distribute incoming traffic
  • Enhance security
  • Execute database queries
  • Store session data
The primary purpose of load balancing in web applications is to distribute incoming traffic across multiple servers, ensuring better performance and preventing overload on a single server.

How can an HTTP servlet differentiate between GET and POST requests?

  • Checking the request type in the doGet and doPost methods.
  • The HTTP servlet cannot differentiate between GET and POST requests.
  • Using the HttpServletRequest method getMethod()
  • Using the requestType attribute in the web.xml file.
An HTTP servlet can differentiate between GET and POST requests by using the HttpServletRequest method getMethod(), which returns the HTTP method of the request (e.g., "GET" or "POST"). This allows the servlet to determine the type of request being made.

Which strategy involves adding more servers to handle increased load in a web application?

  • Horizontal scaling
  • Load balancing
  • Session management
  • Vertical scaling
Horizontal scaling involves adding more servers to handle increased load in a web application by distributing the load across multiple machines.