Category Archives: Interview questions
15 Tricky DevOps Architect Interview Questions & Answers
DevOps and DevSecOps are two sides of the same coin. They both share some goals, but they also have their differences. It is important to understand what each one means so that you can implement them properly in your organization. In this post, you will learn about some of the questions (and answers) which could be asked in the DevOps Architect interview. The following are some of the topics you might want to cover for doing interview preparation for DevOps Architect position: DevOps & DevSecOps concepts Setting up DevOps implementation DevOps reference architecture DevOps reference implementation Continuous delivery concepts & reference architecture Technologies (Tools s& Frameworks) Here is a related …
Normal Distributions Questions and Answers for Interviews
In order to be successful in normal distribution interviews, you need a solid understanding of the normal distribution. This blog post will focus on normal distribution questions and answers that are commonly asked in the data science and statistics interviews. Before jumping into questions and answers, lets quickly understand what normal distribution is. What is normal distribution? A normal distribution is a symmetric, bell-shaped curve that describes the distribution of many types of data. The normal distribution has two parameters, mean and standard deviation. It is important to know these two parameters because they are used to calculate probabilities associated with the normal distribution. The normal curve describes how data …
Most In-Demand Skills for Data Scientists in 2022
The data science field is growing rapidly and data scientists are in high demand. If you want to enter this field, it’s important that you have the right skills. In this blog post, we’ll explore the most in-demand skills of data scientist employers are looking for the most and how to develop these skills so that you can find a job as a data scientist. Strong knowledge and experience with statistical/ML methods: Strong familiarity with probability distributions (e.g., normal distribution), concepts of hypothesis testing, regression analysis is essential for becoming a great data scientist. One of the most important ask for a data scientist is his/her knowledge in hypothesis formulation …
Support Vector Machine (SVM) Interview Questions
Support Vector Machine (SVM) is a machine learning algorithm that can be used to classify data. SVM does this by maximizing the margin between two classes, where “margin” refers to the distance from both support vectors. SVM has been applied in many areas of computer science and beyond, including medical diagnosis software for tuberculosis detection, fraud detection systems, and more. This blog post consists of quiz comprising of questions and answers on SVM. This is a practice test (objective questions and answers) that can be useful when preparing for interviews. The questions in this and upcoming practice tests could prove to be useful, primarily, for data scientists or machine learning interns/ …
AI Product Manager Interview Questions
AI has become such an integral part of our lives that it is important to hire professionals who can help create AI / machine learning products that will be used by many people. These AI product manager interview questions will give you insight into your candidate’s experience, skills, and industry knowledge so that you can get prepared in a betterinterma manner before appearing for your next interview as an AI product manager. Check out a detailed interview questions and answers with greater focus on machine learning topics. Here are some interview questions that you can get when you are appearing for AI / Machine learning (ML) product manager (PM) job: …
Bias-Variance Trade-off Concepts & Interview Questions
Bias vs variance tradeoff is a big problem machine learning models face. In this post, you will learn about the the concepts of bias & variance in relation to the machine learning (ML) models. Bias refers to how well your model can represent all possible outcomes, whereas variance refers to how sensitive your predictions are to changes in the model’s parameters. In addition to learning the concepts related to Bias vs variance trade-off, you would also get a chance to take quiz which would help you prepare for data scientists / ML Engineer interviews. As data scientists / ML Engineer, you must get a good understanding of Bias and Variance concepts …
Overfitting & Underfitting Concepts & Interview Questions
Machine learning models are built to learn from training and test data and make predictions on new, unseen data set. The machine learning model is said to overfit the data when it learns patterns that exist only in the training set make prediction with high accuracy. On the other hand, machine learning model underfits if it cannot find any pattern or relationship between variables in both training and testing data sets. In this post, you will learn about some of the key concepts of overfitting and underfitting in relation to machine learning models. In addition, you will also get a chance to test you understanding by attempting the quiz. The …
Top 50 Interview Questions for Beginner Data Scientists
What interview questions should a beginner data scientist prepare for? This is an important question that many interviewees have. If you are going for a data scientist interview and don’t know what interview questions will you be asked, this blog post has some of the common interview questions that will help you excel in your interview. These interview questions are perfect for beginners because they cover basic topics about data science and machine learning and how it works. We hope this list helps! What is the difference between AI, machine learning, deep learning? Do you know how machine learning works? How is machine learning different from statistical modeling techniques like linear …
Data Science Architect Interview Questions
In this post, you will learn about interview questions that can be asked if you are going for a data scientist architect job. Data science architect needs to have knowledge in both data science/machine learning and cloud architecture. In addition, it also helps if the person is hands-on with programming languages such as Python & R. Without further ado, let’s get into some of the common questions right away. I will add further questions in the time to come. Q. How do you go about architecting a data science or machine learning solution for any business problem? Solving a business problem using data science or machine learning based solution can …
500+ Machine Learning Interview Questions
This post consists of all the posts on this website in relation to interview questions / quizzes related to data science / machine learning topics. These questions can prove to be helpful for the following: Product managers Data scientists Product Managers Interview Questions Find the questions for product managers on this page – Machine learning interview questions for product managers Data Scientists Interview Questions Here are posts representing 500+ interview questions which will be helpful for data scientists / machine learning engineers. You will find it useful as practise questions and answers while preparing for machine learning interview. Decision tree questions Machine learning validation techniques questions Neural networks questions – …
Product Manager – Machine Learning Interview Questions
In this post, you will learn about some of the interview questions which can be asked in the AI / machine learning based product manager / business analyst job. Some of the questions listed in this post can also prove to be useful for the interview for the job position of director or vice president, product management. The interview questions can be categorized based on some of the following topics: Machine learning high level concepts Identifying a problem as machine learning problems Identifying business metrics vs value generation Feature engineering Working with data science team in model development lifecycle Monitoring model performance Model performance metrics presentation to key stakeholders Setting up …
Flutter Interview Questions for Beginners #1
This post is aimed to test your understanding on very basics of Flutter app development using most fundamental questions. It covers some of the following Flutter topics: Basic understanding of widgets and elements Basic understanding of stateful and stateless widgets
GitFlow Workflow Best Practices & Quiz Questions
In this post, you will learn about some of the best practices in relation to managing your development and production releases using GitFlow Workflow. There will be a master branch which is called as an official repository. Forking a develop branch of the master: To start with, we will fork off another branch of the master which we may call as “develop”. This branch will act as an integration branch for features branches. NOTE: feature in features branches does not represent the features in machine learning. “Develop” branch will act as a parent to the feature branches. This means that developers would fork from “develop” branch and their changes are merged back into “develop” branch. In real-world scenarios, …
Selenium Interview Questions and Answers – Set 1
In this post, you will take the objective test (interview questions and answers) to check your knowledge of Selenium. This could prove to be helpful in preparing for upcoming interviews related to Selenium automated testing. Selenium Quiz – Objective Questions and Answers Selenium Sample Interview Questions The following are some of the interview questions which can be prepared: What is the difference between Selenium 2 and Selenium 1? When would you want to use Selenium Grid? What are the different web element location strategies which are used to locate elements on the web page? What is the difference between Selenium IDE and Selenium WebDriver? What is the difference between andWait and waitFor …
Elasticsearch Interview Questions & Answers – Set 1
In this post, you will learn about fundamentals and best practices with ElasticSearch based on the following: Revision notes on Elasticsearch fundamentals A set of questions to test your knowledge and, in turn, help you learn Elasticsearch concepts related to index and shards; These questions could as well help you prepare for interviews related to ElasticSearch A set of interview questions ElasticSearch Fundamentals – Revision Notes Each Elasticsearch shard is a Lucene index The number of shards and replicas can be defined per index at the time of creation of the index. The number of replicas per shard can later be changed. Shard in ElasticSearch is primarily a Lucene index …
10 Spring Framework Interview Questions for Freshers
Spring Framework is one of the most popular and widely used Java frameworks which makes it very easy to create a Java application/web application using several out-of-box framework components provided by Spring. Thus, it is imperative that beginners starting to do Java web app would end up using Spring framework for building the app. From that perspective, it becomes of great importance for beginners to take note of some of the basic concepts related to which interview questions can be asked. In this post, you will learn some of the Spring framework fundamentals concepts which could be asked in form of interview questions and answers. These questions and answers may …
