Evoke Technologies DevOps Specialist Interview Questions and Answers

Q1. How much expected salary
Ans. 
Negotiable based on experience and responsibilities
• Salary expectations are dependent on the specific role, responsibilities, and industry standards

• Consider factors such as location, company size, and benefits package when determining salary expectations

• Research average salaries for similar positions in the industry to have a realistic expectation
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Prepare well on Python, SQL and be good at solving analytical problems

Q1. Mostly based on your resume, prepare to answer whatever you kept on resume. Still prepare well on Python, SQL... Go through AWS/Datawarehouse concepts if role is Data Engineering position
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Q1. Lightly on Technical side, Mostly on testing how you're able to solve business problems
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They asked few questions related to SQL.

Q1. They'll ask questions related to whatever you have given in your resume.
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Q1. They ask general questions about yourself.
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4 SQL questions, complexity 7/10

Q1. Previous projects
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Q2. In and around ML models
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Q1. Usual, simple behavioural
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Q2. Expected package
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Topics will be mainly SQL and few python questions. Duration-3min to 1hr

Q1. What is CLT theorem and what are its uses
Ans. 
CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.
• Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.

• It is used in hypothesis testing, confidence intervals, and in estimating population parameters.

• CLT is essential in making infer...read more
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Q2. Asked to write SQL queries which uses join and window functions
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Q3. Explain ML Data preparation and EDA steps in detail. What are major steps in preprocessing
Ans. 
ML data preparation involves cleaning, transforming, and organizing data for analysis. EDA involves exploring and visualizing data to understand its characteristics.
• Data cleaning: removing missing values, handling outliers, and dealing with duplicates

• Data transformation: encoding categorical variables, scaling numerical features, and creating new features

• Data organization: splitting data into training and testing sets,...read more
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Q1. Mainly interviewer checked how sound I was in different concepts like statistics, ML
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Q2. Asked simple DL questions
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Q3. Guestimates- like how much milk is consumed in your city on average. Give an estimate and show your structured way of arriving at that value
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Q1. Why you want to join our comany?
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Q2. What made you leave your previous organization
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Q3. Salary negotations
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Q1. SQL based questions
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Q2. Logic based questions
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Q1. Situation based questions
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Q2. Questions related to company
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