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Amazon Data Science Intern Interview Questions and Answers
Amazon Data Science Intern Interview Experiences
2 interviews found
Anonymous
Basic DSA questions will be asked Leetcode Easy to medium
(2 Questions)
- Q1. BERT vs LSTM and their speed
- Ans.
BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.
BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.
BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.
For exa...
- Q2. What is multinomial Naive Bayes theorem
- Ans.
Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.
It is commonly used in text classification tasks, such as spam detection or sentiment analysis.
It is suitable for features that represent counts or frequencies, like word counts in text data.
It calculates the probability of each class given the input features and selects the class with the
Skills evaluated in this interview
Selected
I appeared for an interview in Dec 2023.
English, number system, grammar
Python , data science, machine learning
Python machine learning, natural language precossing
(4 Questions)
- Q1. Python , Data Science, SQL
- Q2. What is python basics, libraries
- Ans.
Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.
Python basics cover syntax, variables, data types, and control structures.
NumPy is a library for numerical computing, providing powerful array operations.
Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.
Matplotlib is a libr...
- Q3. Data science algorithms , and theory
- Q4. Sql querys, cluases
Indian environment, village, college days
(1 Question)
- Q1. Python, data science
Interview questions from similar companies
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
Emails to the host and guests.
(2 Questions)
- Q1. Why you are perfect fit?
- Ans.
I have the necessary skills, experience, and passion for the role.
I have relevant experience in the industry
I possess the required skills and qualifications
I am passionate about the work and eager to contribute
I have a track record of success in similar roles
- Q2. Why you want to change?
- Ans.
Seeking new challenges and growth opportunities in a different environment.
Desire for new challenges and learning experiences
Opportunity for career advancement
Seeking a better work-life balance
Interest in exploring different industries or sectors
Interview Preparation Tips
(1 Question)
- Q1. Cyber security related
(1 Question)
- Q1. Basic Scenario based questions
Selected
I applied via Campus Placement and was interviewed before Jun 2022. There were 3 interview rounds.
(1 Question)
- Q1. How well do you know excel?
(2 Questions)
- Q1. Resume based questions
- Q2. General discussion about work
I applied via Job Fair and was interviewed before Dec 2023. There was 1 interview round.
(1 Question)
- Q1. Strenghts/weaknesses
Interview Preparation Tips
It was easy consisting of sql and excel questions
Basic Apititude Questions
(2 Questions)
- Q1. Difference between WHERE and HAVING??
- Ans.
WHERE is used to filter rows before grouping, HAVING is used to filter groups after grouping.
WHERE is used with SELECT statement to filter rows based on a condition
HAVING is used with GROUP BY statement to filter groups based on a condition
WHERE is applied before data is grouped, HAVING is applied after data is grouped
Example: SELECT * FROM table WHERE column = 'value'
Example: SELECT column, COUNT(*) FROM table GROUP B
- Q2. Where- Row Level Filters Having-Aggregate Filters
- Ans.
Row level filters are applied before aggregations, while aggregate filters are applied after aggregations.
Row level filters are used to filter individual rows of data before any aggregations are performed.
Aggregate filters are used to filter the aggregated results after the data has been grouped and summarized.
Row level filters are typically applied using WHERE clause in SQL, while aggregate filters are applied using H...
(2 Questions)
- Q1. Why do you wanna join Uber?
- Q2. Best Company Ever
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed before Jun 2023. There were 3 interview rounds.
It was basic MCQ related to Javascript
(1 Question)
- Q1. Asked basic questions related to array and SQL
(1 Question)
- Q1. Asked question to test the business context
I appeared for an interview in Dec 2021.
Round duration - 60 minutes
Round difficulty - Easy
Timing: 8:00-9:00 PM
There was 1 MCQ and 3 SQL queries. The platform was easy to use and navigate.
Round duration - 30 minutes
Round difficulty - Medium
Timing: 11 AM-11:30 AM
The interviewer was very kind and helpful. He helped me by giving hints whenever I was stuck.
(1 Question)
Round duration - 30 minutes
Round difficulty - Medium
Timing: 12:15 PM to 12:45 PM.
The interviewer was very helpful and friendly. He was more interested in my approach rather than the final answer.
- Q1. What new feature would you like to add to Uber?
- Ans.
I would like to add a feature that allows users to schedule rides in advance.
Users can schedule rides for important events or appointments
Option to choose specific driver or vehicle for scheduled rides
Notifications for upcoming scheduled rides
Ability to edit or cancel scheduled rides
Round duration - 30 minutes
Round difficulty - Hard
Timing: 3:00PM to 3:30PM
This was Hiring Manager round. He asked me case study type of questions.
Interview Preparation Tips
Tip 1 : Practice SQL and python coding questions using online coding platforms.
Tip 2 : Get in-depth theoretical knowledge about all the machine learning algorithms.
Tip 3 : Strengthen your statistics understanding.
Tip 1 : Highlight your skills properly
Tip 2 : Have thorough understanding about everything written in the resume
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Amazon Data Science Intern Interview Process
based on 2 interviews
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