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Which HTTP header is commonly used to control cache behavior in web browsers?

  • Cache-Control
  • Content-Encoding
  • Expires
  • Last-Modified
The Cache-Control header is commonly used to control cache behavior in web browsers by specifying directives for caching mechanisms in both requests and responses.
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The __________ and __________ are two major parts of JVM memory structure.

  • Cache, Register
  • Heap, Stack
  • Queue, Linked List
  • Stack, Heap
The Heap and Stack are two major parts of the JVM memory structure. The Heap is used for dynamic memory allocation, while the Stack is used for static memory allocation and method call management.
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A servlet forwards a request to a JSP page for rendering the view. Which method does it use, and what happens to the URL in the browser?

  • request.getRequestDispatcher().forward()
  • request.sendRedirect()
  • response.forward()
  • response.sendRedirect()
The correct method for forwarding a request to a JSP page is request.getRequestDispatcher().forward(). The URL in the browser remains the same as the original request URL.
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The __________ area in JVM memory is used to store per-class structures.

  • Class
  • Heap
  • Method
  • Stack
The Class area in JVM memory is used to store per-class structures, such as class metadata, constants, and static fields.
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A Java application experiences 'OutOfMemoryError'. What could be the potential causes and solutions?

  • Implement caching mechanisms
  • Increase heap size using -Xmx
  • Optimize code for memory leaks
  • Reduce the number of threads
'OutOfMemoryError' may occur due to memory leaks. Optimizing code, reducing threads, and implementing caching mechanisms are strategies to address this issue. Increasing heap size is a solution but doesn't address the root cause of the problem.
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When optimizing memory usage in a Java application, what strategies should be considered?

  • Disable JIT compilation
  • Disable garbage collection
  • Increase object creation
  • Use data structures efficiently
Efficient use of data structures is crucial for memory optimization. Disabling garbage collection, increasing object creation, and disabling JIT compilation are not recommended strategies and can negatively impact memory usage.
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When implementing a servlet to handle form data from a dynamically generated form with varying field names, what strategy should be employed?

  • Ignore dynamic form fields for security
  • Iterate through request parameters
  • Use fixed field names for all form elements
  • Use hidden fields to store dynamic names
The recommended strategy is to iterate through request parameters, allowing dynamic handling of varying field names in a dynamically generated form. This approach ensures that all form data, regardless of field names, can be processed dynamically.
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In a high-performance Java application, how should memory management be approached to prevent latency issues?

  • Frequent use of finalize method
  • Implement lazy loading for classes
  • Opt for a large heap size
  • Utilize efficient garbage collectors
Utilizing efficient garbage collectors is essential for high-performance applications. Implementing lazy loading, opting for a large heap size, and frequent use of the finalize method can lead to latency issues and should be avoided in performance-sensitive applications.
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What is the main difference between 'write-through' and 'write-back' caching strategies?

  • Write-through and write-back are terms used interchangeably.
  • Write-through and write-back caching strategies are essentially the same.
  • Write-through involves writing data to both the cache and the underlying storage immediately, while write-back involves writing to the cache first and updating the underlying storage at a later time.
  • Write-through involves writing data to the cache only, while write-back involves writing data to both the cache and the underlying storage simultaneously.
The main difference is that 'write-through' immediately updates both the cache and the underlying storage, while 'write-back' involves updating the cache first and delaying the update to the underlying storage.
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In distributed systems, what is a cache stampede and how is it typically mitigated?

  • A cache stampede is a networking issue that results in delayed cache updates.
  • A cache stampede is a planned event in which caches are forcibly cleared and refreshed simultaneously.
  • A cache stampede is an outdated concept and is no longer relevant in modern distributed systems.
  • A cache stampede is when multiple processes or nodes simultaneously attempt to load the same cache entry that is currently not in the cache.
A cache stampede occurs when multiple processes try to load the same cache entry simultaneously. It is typically mitigated by using cache locks, semaphore mechanisms, or by allowing only one process to regenerate the cache entry.
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