7. What is Data Profiling? 8. What are the scenarios that could cause a model to be retrained? 9. What are the prerequisites to become a Data Analyst? 10. What are the top tools used to perform Data Analysis? Data Analyst Interview Questions For Freshers 1. What are the key differences...
The hiring manager will ask machine learning interview questions about data processing, model training and validation, and advanced algorithms. Is it true that we need to scale our feature values when they vary greatly? Yes. Most of the algorithms use Euclidean distance between data points, and ...
Top NLP interview questions with detail answers asked in top companies that will help you to crack the Natural Language Processing job interviews in 2025.
View allBytedance Inc.Data Scientistquestions $177,985 Average Base Salary $168,038 Average Total Compensation Min:$100K Max:$233K Base Salary Median:$177K Mean (Average):$178K Data points:63 Min:$41K Max:$334K Total Compensation
Behavioral questions are expected early in the data engineering process (e.g., recruiter call) and include questions about your experience. Examples of behavioral interview questions for a data engineer role would be: 1. Describe a data engineering problem you have faced. What were some challenges...
2. "Tell me about yourself." Let’s magically translate this trickiest of all nursing interview questions. It actually asks, “Why are you perfect for this job?” Please don’t give a generic answer. Do your homework. Find out what the job requires. Then rehearse the best achievements fr...
General Big Data Interview Questions 1. Explain the 5 Vs of big data. 2. What are common big data applications? 3. How does big data solve industry challenges? 4. What is distributed computing, and why is it essential for big data? 5. What is the difference between structured, unstructur...
There you have it. These are some of the most important and essential data analysis questions that may be asked in an interview. With the help of the questions in this article, you will be able to become an expert data analyst and land your dream job. If you liked this list of the ...
Interview questions and answers about data science, data understanding and preparation Q1: In the data science terminology, how do you call the data that you analyze? In data science, you analyzedatasets. Datasets consists ofcases, which are the entities you analyze. Cases are described by t...
Data cleaning The purpose of cleaning data is to ensure that the data analysis is as efficient as possible. For example, consider analyzing only the interview respondent's answers and not the interviewer's questions using the Word Cloud or Concepts tools. This task may mean analyzing a modified...