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Sneha Mehra | Working Professional

What is your Google interview process? How did you prepare for it?

Hey Sneha, Here's my experience on my Google Interview that I gave in August 2022 and the Preparation that I did for the same. Interview Process Initially the HR called me for a opening for which I am a suitable fit. Later, she shared the preparation material and then scheduled rounds starting 2 weeks later. There were 5 rounds in total. Each round is of strict 45 minutes. First 4 rounds were related to Data Structures and Algorithms. The last round was Googleyness or Behavioral round. Round 1 (Screening round):  Round Type:DS & Algorithm round.  Problem Difficulty: Easy Concept: Array, Range based Sum Comments: The problem looked large while looking at it, but later on it became easy when I understood it completely and ignored the excess paragraphs which were there for me to distract or not concerning with the problem. Round 2 (Coding Round):  Round Type:DS & Algorithm round.  Problem Difficulty: Medium Concept: DFS, Computation at every node before returning from every node in tree Comments: The problem was difficult to understand as it had lot of jargons only specific to the question itself. The main thing in this round was to check my implementation speed. The solution was 60+ lines but required very careful implementation otherwise the output could be wrong. Round 3 (Coding Round): Round Type:DS & Algorithm round. Problem Difficulty: Easy & Medium (2 problems asked) Concept: Array, Pattern Recognition using Maths Comments: There were 2 problems asked in this round. I solved the first problem in under 15 mins. The second problem was little tough to crack as it required some basic maths to build the pattern for the solution and then coding it out. The main thing in the round was to check my logical thinking and pattern recognition. Round 4 (Coding Round): Round Type:DS & Algorithm round. Problem Difficulty: Medium-Hard Concept: Matrix Chain multiplication (Rod-Cutting problem) Comments: The problem asked was a variant of rod-cutting problem. The interviewer did not actually explained the problem. He tried to tell this problem using a game by playing with me. That was tough to understand in the realtime interview what he intended to say. Later, I realised the problem is something similar to rod-cutting problem and then I solved it. Round 5 (Googleyness/Behavioral Round): Round Type: Behavioural Problem Difficulty: Easy-Medium Concept: Past projects and Behavioral questions Comments: Some behavioral questions were asked like: 1) If I had any conflict with my manager in the past? 2) How did I communicate on the projects where I missed timeline? etc. You can google some common behavioral questions pretty easily. After all the rounds, I received call from the HR saying that I have cleared the interview process but the hiring across all teams have been put on hold :(  Eventually, I let go off the whole interview process and made peace with it. Preparation I prepared using the following things: Basics First : Refer ANY source and prepare a basic list of data structures and try to solve Medium and Hard questions only. Timing your coding : Whenever you are coding, just time your coding speed for solutions and retrospect later what could have been done better to achieve solution faster. Pick any one platform : I would highly recommend sticking to Leetcode for this. Mock Interviews: Ask your friends/new people from LinkedIn to take a mock interview of you to help you grill on data structures and algorithms. Past Archives: AtLast, lookup to atleast 20 archives/interview experiences of other people who have given recent interviews. This is the best way to know what level of difficulty questions to expect. At last, please do remember it's not the attempts that will be counted at the end, but the level of effort you put and the new things you learnt while giving interviews. Let me know if I can be of anymore help. Feel free to connect. Cheers!

Mohammad Owaiz Shaik | Working Professional

How do I become a cloud engineer?

To become a cloud engineer, you can follow these steps: Obtain a relevant degree or certification: Consider pursuing a degree in computer science, information technology, or a related field. Alternatively, you can acquire certifications like AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect. Gain experience with cloud technologies: Familiarize yourself with popular cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Learn about cloud computing concepts, virtualization, networking, and storage. Develop programming and scripting skills: Learn programming languages commonly used in cloud environments, such as Python, Java, or PowerShell. Acquire scripting skills to automate tasks and manage cloud resources efficiently. Learn infrastructure as code (IaC) tools: Gain proficiency in tools like Terraform or AWS CloudFormation, which enable you to define and manage infrastructure using code. Gain hands-on experience: Practice deploying and managing cloud resources. Set up virtual machines, containers, databases, and networking configurations in a cloud environment. Explore different services offered by cloud providers. Expand your knowledge: Stay updated with the latest developments in cloud computing, attend webinars, join communities, and engage in online forums. Continuously learn about new services, best practices, and emerging trends. Showcase your skills: Build a portfolio of projects or contribute to open-source projects related to cloud computing. Demonstrate your ability to design, implement, and manage cloud infrastructure effectively. Networking and collaboration: Connect with professionals in the field through networking events, conferences, or online communities. Collaborate with others on cloud-related projects to gain insights and expand your knowledge. Keep learning and adapting: Cloud technologies evolve rapidly, so it's crucial to stay curious and embrace continuous learning. Seek opportunities to acquire new skills, explore different cloud services, and adapt to changing industry demands. Seek cloud engineer positions: Once you feel confident in your skills and experience, start applying for cloud engineer roles. Tailor your resume to highlight your cloud expertise and showcase your projects. Prepare for interviews by studying common cloud-related questions and practicing your responses. Remember, becoming a cloud engineer is an ongoing journey of learning and practical application. Stay dedicated, keep building your skills, and embrace the opportunities that come your way.

ROSHAN LIKHAR | Fresher

I am a final year student, B.Tech in CSE. How I can switch in Data Analyst domain and get a good job?

Hi Roshan, To get a job in Data Analyst Domain you have to be familiar with some of the skills such as SQL , Python , Probability and Statistics , Data Management and Visualization , MATLAB etc Thanks !

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