Dynatrace Pro Certification Practice Exam

Which technology is NOT typically associated with memory dumps?

1. Java

2. Python

3. Node.js

4. .NET

The correct answer is: Python

Memory dumps are snapshots of an application's memory at a specific point in time and are often utilized for debugging purposes. They allow developers to analyze the state of a program to help troubleshoot issues like crashes or high memory usage. Java, Node.js, and .NET are all environments where memory management is crucial, and they provide mechanisms for generating memory dumps when applications encounter problems. Java has built-in tooling such as jmap that helps in generating heap dumps. Node.js can be diagnosed using tools like the Chrome DevTools or node's built-in profiler, which can create snapshots of the memory. .NET applications can be analyzed using WinDbg or Visual Studio, which can generate memory dumps for debugging. Python, on the other hand, does not have mainstream memory dump tools and practices in the same sense as the other languages. While you can analyze Python processes and utilize packages to monitor memory usage, it is less common to refer to traditional memory dumps specific to Python applications. Instead, Python developers often rely on profiling tools like memory-profiler or objgraph to analyze memory allocation rather than generating complete memory dumps. Thus, Python stands out as not being typically associated with the generation of memory dumps compared to Java, Node.js, and .NET, which have more formalized