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Micron Technology Big Data Engineer Interview Questions and Answers
Micron Technology Big Data Engineer Interview Experiences
2 interviews found
Anonymous
I applied via LinkedIn and was interviewed in Aug 2022. There were 2 interview rounds.
(3 Questions)
- Q1. Question on SQL joins
- Q2. Convert a list of dictionaries to CSV in Python
- Ans.
Convert a list of dictionaries to CSV in Python
Use the csv module to write to a file or StringIO object
Use the keys of the first dictionary as the header row
Loop through the list and write each dictionary as a row
- Q3. What is partitioning in Hive?
- Ans.
Partitioning in Hive is a way of dividing a large table into smaller, more manageable parts based on a specific column.
Partitioning improves query performance by reducing the amount of data that needs to be scanned.
Partitions can be based on date, region, or any other relevant column.
Hive supports both static and dynamic partitioning.
Partitioning can be done on external tables as well.
(3 Questions)
- Q1. Questions about previous project, day to day responsibilities.
- Q2. Some advanced SQL queries
- Q3. Checking whether a fibonacci number is present between a particukar range (100 - 200)
- Ans.
To check if a Fibonacci number is present between 100-200
Generate Fibonacci numbers until 200
Check if any number is between 100-200
Use dynamic programming to optimize Fibonacci generation
Interview Preparation Tips
- Hadoop
- Hive
- Spark
Skills evaluated in this interview
I applied via campus placement at National Institute of Technology (NIT), Calicut and was interviewed in Aug 2022. There were 3 interview rounds.
2 easy coding questions and some MCQs from Python, Data Analysis and Machine learning
(1 Question)
- Q1. Simple array questions. Give an integer array and asked to find a pair with the given total.
(1 Question)
- Q1. Asked about myself and the projects I did. Done a through investigation of my resume.
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
Selected
I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Explain about the project
- Ans.
Developed a machine learning model to predict customer churn for a telecom company
Used historical customer data to train the model
Implemented various classification algorithms such as logistic regression, random forest, and XGBoost
Evaluated model performance using metrics like accuracy, precision, recall, and F1 score
- Q2. Basic SQLQuestions
(2 Questions)
- Q1. Intermediate level SQL questions
- Q2. Intermediate level python/machine learning questions
I applied via campus placement at Maulana Azad National Institute of Technology (NIT), Bhopal and was interviewed in Jul 2024. There were 2 interview rounds.
Few standard dsa questions were asked.
(2 Questions)
- Q1. Explain projects
- Ans.
Projects are specific tasks or assignments that require a set of skills and resources to achieve a particular goal or outcome.
Projects involve defining objectives and deliverables
They require planning, execution, and monitoring
Projects often have timelines and budgets
Examples: Data analysis project to identify customer trends, Project to implement a new software system
- Q2. Introduce urself
- Ans.
I am a data analyst with a strong background in statistics and data visualization.
I have a Bachelor's degree in Statistics from XYZ University.
I have 3 years of experience working as a data analyst at ABC Company.
Proficient in using tools like Excel, SQL, and Tableau for data analysis.
I have experience in creating reports and dashboards to present data insights to stakeholders.
Interview Preparation Tips
Namita Menon
(1 Question)
- Q1. Dropout in. Deep learning
CHILLAM PARTY
Selected
I applied via Referral and was interviewed in Nov 2023. There was 1 interview round.
(1 Question)
- Q1. Basic about python
Interview Preparation Tips
Selected
I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Program complexity.
- Q2. Code efficiency
(2 Questions)
- Q1. What do you like about AMAT?
- Ans.
AMAT is a leading provider of semiconductor manufacturing equipment and services.
AMAT is known for its cutting-edge technology and innovation in the semiconductor industry.
I appreciate AMAT's commitment to research and development, constantly pushing the boundaries of what is possible.
The company has a strong global presence and a track record of delivering high-quality products and services.
AMAT's focus on sustainabil...
- Q2. How do you like working?
- Ans.
I enjoy working in a collaborative environment where I can use my analytical skills to solve complex problems.
I thrive in environments where I can work with a team to brainstorm ideas and solutions.
I appreciate opportunities to use data analysis techniques to uncover insights and drive decision-making.
I value a work culture that encourages continuous learning and professional growth.
I find satisfaction in overcoming ch...
Selected
I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.
(1 Question)
- Q1. How Decision tree works
- Ans.
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree splits data into subsets based on the value of a certain attribute
It recursively divides data into smaller subsets until a stopping criterion is met
Each internal node represents a decision based on an attribute, and each leaf node represents the outcome
(1 Question)
- Q1. How pressure varies wrt temperature
- Ans.
Pressure generally increases with temperature due to the kinetic energy of gas molecules.
Pressure is directly proportional to temperature in a closed system (Boyle's Law).
As temperature increases, gas molecules move faster and collide with the container walls more frequently, increasing pressure.
For example, a balloon inflated indoors may burst when taken outside on a hot day due to increased pressure from higher tempe
(1 Question)
- Q1. What challenges you faced
I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. 1.About projects that you did. I was working on ADAS project. I explained those to them
- Q2. Convolution neural network basics like variance, loss function hyperparameter tuning, regularization techniques
- Q3. Logical questions. And, realize them in any programming language
Interview Preparation Tips
In my case Two technical interviews were smooth. The panel got impressed and they even sent connection requests in LinkedIn. They were happy. And, informed me about final round.
The strange part is the HR never called me. And, after couple of days I dropped a mail but no response. It was quite unprofessional.
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