Fractal Analytics Intern Interview Questions and Answers

2 DSa questions + cs fundamentals mcq

Q1. System design e-commerce
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Q2. SRE fundamentals
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Q1. Managerial round, resume, work experience and stuff
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Verbal reasoning quewstions

Q1. Technical and programming related questions
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Q2. About the resume
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Logical,general knowledge

Q1. What do you hope to achieve in this role?
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Q1. Longest Valid Parentheses
Ans. 
Find the length of the longest valid parentheses substring in a given string.
• Use a stack to keep track of the indices of opening parentheses.

• Iterate through the string and update the maximum length of valid parentheses.

• Handle cases where closing parentheses are encountered without a matching opening parentheses.
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Q2. Find the maximum number in the subarrays of length k.
Ans. 
Find the maximum number in the subarrays of length k.
• Iterate through the array and keep track of the maximum number in each subarray of length k.

• Use a sliding window approach to efficiently find the maximum number in each subarray.

• Time complexity can be optimized to O(n) using a deque data structure.
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Q1. Spiral Matrix Question
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It was having basic aptitude questions

Q1. They asked basic english question
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Q2. And alos topic was provided so we had to speak on it.
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Q1. SQL syntax and difference between having and where clause
Ans. 
HAVING clause is used with GROUP BY to filter grouped rows, WHERE clause is used to filter individual rows.
• HAVING clause is used with GROUP BY to filter grouped rows based on aggregate functions

• WHERE clause is used to filter individual rows based on conditions

• HAVING clause is applied after GROUP BY, WHERE clause is applied before GROUP BY

• HAVING clause can only be used with SELECT statement that contains a GROUP BY clau
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Q2. Difference between array and linkedlist,stack and queue
Ans. 
Arrays store elements in contiguous memory, while linked lists use nodes with pointers. Stacks follow LIFO, queues follow FIFO.
• Arrays store elements in contiguous memory locations, allowing for constant time access to elements using indices.

• Linked lists use nodes with pointers to the next node, allowing for dynamic memory allocation and insertion/deletion at any position.

• Stacks follow Last In First Out (LIFO) principle...read more
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Q1. Tell me about your self
Ans. 
I am a data science enthusiast with a strong background in statistics and machine learning.
• Completed coursework in data analysis, statistical modeling, and predictive analytics

• Proficient in programming languages such as Python, R, and SQL

• Experience with data visualization tools like Tableau and Power BI

• Worked on projects involving regression analysis, clustering, and classification algorithms
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Q2. Why you want to join this role
Ans. 
I am passionate about using data to solve complex problems and make informed decisions.
• I have a strong background in statistics, mathematics, and programming, which are essential skills for a data science role.

• I am excited about the opportunity to work with real-world data and apply machine learning algorithms to extract valuable insights.

• I am eager to learn from experienced data scientists and contribute to innovative
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2 DSa questions + cs fundamentals mcq

Q1. System design e-commerce
Add your answer
Q2. SRE fundamentals
Add your answer

Q1. Managerial round, resume, work experience and stuff
Add your answer

Verbal reasoning is a type of aptitude test that assesses your ability to understand,analyze,and interpret written information.

Q1. TELL ME ABOUT YOURSELF
Ans. 
I am a data science enthusiast with a strong background in statistics and machine learning.
• Completed coursework in data analysis, statistical modeling, and predictive analytics

• Proficient in programming languages such as Python, R, and SQL

• Experience with data visualization tools like Tableau and Power BI

• Completed projects involving regression analysis, clustering, and classification algorithms
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Q2. TELL ME ABOUT PROJECT
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Used Python and scikit-learn for data preprocessing and model building

• Performed feature engineering to create new variables for the model

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q3. About skills and how did u learn them
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Q4. Why do u want to work with us
Ans. 
I am passionate about data science and believe in the impact it can have on driving insights and decision-making.
• I am excited about the opportunity to work with a team of experienced data scientists and learn from their expertise.

• I am impressed by the innovative projects and cutting-edge technologies that your company is involved in.

• I am eager to apply my skills and knowledge in data science to real-world problems and
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Q5. How do you stay clam when talking to difficult people
Ans. 
I remain calm by actively listening, staying patient, and focusing on finding common ground.
• Practice active listening to understand their perspective

• Stay patient and avoid reacting emotionally

• Focus on finding common ground or a solution to the issue

• Use positive body language and tone of voice to convey understanding and empathy
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