Fresh & Honest Cafe Technical Service Engineer Interview Questions and Answers

Hard difficulty level DSA test, main emphasis on trees and graphs

Q1. Project related questions
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Q2. Questions on Javascript
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Q3. Questions on Core subjects
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Do you think social media is a good platform?

Q1. One of the worst company don't go for interview.
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Q1. No technical only cleaning cleaning we are not a employees we are labour's
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Q1. There is nothing only cleening 😞
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Q1. Tell me about yourself.
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Q2. What are ur salary expectations
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Q3. What is ur family backroung
Ans. 
My family background is diverse and multicultural.
• My parents are from different countries and cultures.

• I grew up speaking multiple languages at home.

• My family values education and hard work.

• I have siblings who are also pursuing careers in technology.
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Q4. Why should we hire u
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Q1. Introduce yourself & previous experience .
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Q2. Understanding about the company
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Q1. Python difference between list and dictionary
Ans. 
List is an ordered collection of elements while dictionary is an unordered collection of key-value pairs.
• Lists are accessed by index while dictionaries are accessed by keys.

• Lists can contain duplicate values while dictionaries cannot have duplicate keys.

• Lists are enclosed in square brackets [] while dictionaries are enclosed in curly braces {}.

• Example: list = [1, 2, 3] and dictionary = {'a': 1, 'b': 2, 'c': 3}
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Q2. Sql what is window function
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Window functions in SQL are used to perform calculations across a set of rows that are related to the current row.
• Window functions are used to calculate values based on a subset of rows within a larger result set.

• They allow you to perform calculations across rows that are related to the current row.

• Examples of window functions include ROW_NUMBER, RANK, DENSE_RANK, and NTILE.

• Window functions are often used in conjunctio...read more
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Q1. Previous work experience
Ans. 
I have 3 years of experience as a Data Analyst in a tech company.
• Analyzed large datasets to identify trends and patterns

• Created visualizations and reports to communicate findings to stakeholders

• Utilized SQL, Python, and Tableau for data analysis
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Q2. Previous Projects done
Ans. 
Developed predictive models for customer churn and sales forecasting using Python and SQL.
• Utilized Python and SQL for data analysis

• Developed predictive models for customer churn

• Performed sales forecasting

• Presented findings to stakeholders
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SQL and Python, 5 sql queries and 5 python questions were asked