Landing a job in the tech industry can be difficult. If you are looking to break into this field, you need to be prepared for the technical interview.
This can be a daunting task, but don’t worry – we are here to help!
In this blog post, we will discuss 4 proven strategies that will help you succeed in a technical interview.
Let’s get started!
Table of Contents
Prepare Thoroughly and Stay Up-to-Date on Relevant Technology
One of the best ways to make a good impression in a technical interview is to show up prepared.
Researching the position and company ahead of time, brushing up on your relevant technical skills, and staying abreast of current technology trends can help set you apart from other candidates.
For example, if you want to apply for a cloud engineer position, you should familiarize yourself with cloud computing services like AWS, Azure, or Google Cloud Platform.
You should also have a thorough understanding of the technology stack in which you specialize, including software development tools, languages, databases, and frameworks etc.
Practice Your Answers
Technical questions often require you to explain a complex process or problem in detail. Prior to the interview, make sure you can clearly explain your thought process and articulate your answers as succinctly as possible.
You may even want to practice responding to common technical questions with a friend or colleague.
This will help you become more comfortable with articulating complex concepts and processes during the actual interview.
We list some commonly asked technical questions at the end of post. You can check it out.
Demonstrate Your Knowledge and Skills with Real-Life Examples
One of the most effective ways to demonstrate your technical knowledge and expertise during a technical interview is to provide examples.
If you are asked a question about a particular technology or skill, try to provide concrete examples.
Technical interviews are designed to test your ability to think through and solve complicated problems.
To stand out, demonstrate your analytical skills and show that you can identify the root cause of an issue quickly.
Be sure to also explain how you would go about resolving the problem efficiently.
Check this disk troubleshooting post to get more ideas about it.
Providing real-life examples of how you’ve successfully solved a challenging issue can also help to set you apart from other candidates.
This will show the hiring manager that you have the technical skills and problem-solving ability needed for the position.
Here we list some examples for your reference.
- Troubleshooting hardware components, such as processors, memory modules, and hard drives.
- Diagnosing software issues, including application errors and system crashes.
- Isolating network problems caused by faulty equipment or configurations.
- Identifying security issues related to the DDos and other
Ask Questions to Clarify Expectations and Show Interest in the Position
Asking questions shows that you’re interested in the position and gives you a chance to gain further insight into the company.
During your technical interview, be sure to ask thoughtfully prepared questions about the role, the company’s culture, or relevant technology trends.
You should also ask clarifying questions before beginning any problem-solving tasks so that you fully understand the scope and expectations of the task.
Doing so will help you perform better during the technical interview.
Here are some good examples of questions you can ask during the interview.
- What technology stack and tools are used in the development process?
- What are some of the biggest technical challenges that the team is currently facing?
- How does the company plan on staying competitive in the rapidly changing tech landscape?
- How does the company measure success for employees in this role?
- Are there any opportunities to learn new technologies or skills?
- How is the team structured, and what are the roles and responsibilities of each team member?
By following these four tips, you can increase your chances of success in a technical interview. Remember to prepare thoroughly, practice your answers beforehand, and demonstrate your knowledge with real-life examples to make the most out of the process. Good luck!
FAQ technical questions
The following are some troubleshooting questions. FYI.
What are the performance tools you would use on Linux Machine
- dmesg | tail
- vmstat 1
- mpstat -P ALL 1
- pidstat 1
- iostat -xz 1
- free -m
- sar -n DEV 1
- sar -n TCP,ETCP 1
How would you troubleshoot a High I/O Issue
Explain Memory Leak ?
Naive definition: Failure to release unreachable memory, which can no longer be allocated again by any process during execution of the allocating process. This can mostly be cured by using GC (Garbage Collection) techniques or detected by automated tools.
Subtle definition: Failure to release reachable memory which is no longer needed for your program to function correctly. This is nearly impossible to detect with automated tools or by programmers who are not familiar with the code. While technically it is not a leak, it has the same implications as the naive one. This is not my own idea only. You can come across projects that are written in a garbage collected language but still mention fixing memory leaks in their changelogs.
Explain Load Average ?
The best definition and internals about load average can be is explained here.
What are processes and threads?
Process are basically the programs which are dispatched from the ready state and are scheduled in the CPU for execution. PCB(Process Control Block) holds the concept of process. A process can create other processes which are known as Child Processes. The process takes more time to terminate and it is isolated means it does not share the memory with any other process.
Explain Linux Inodes
An Inode number points to an Inode. An Inode is a data structure that stores the information about the file or folder
Explain a performance issue with a process
A performance issue with a process could be caused by several factors. It may be due to poorly written or inefficient code, or due to hardware limitations. Issues can also arise from not enough memory being available for the process, or a disk bottleneck preventing the data from being read and written quickly enough. Other potential causes are high CPU utilization or network latency. It is important to thoroughly analyze the system and environment in order to determine the root cause of a performance issue.