Cleartrip Lead DevOps Engineer Interview Questions and Answers

Q1. Tell me about yourself.
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The test lasted about an hour and included data structures, algorithms and basic problem solving.

Q1. What some projects you've worked on before and how have you helped improve efficiency?
Ans. 
I have worked on various data analysis projects, focusing on improving efficiency through data-driven insights and automation.
• Developed a dashboard for sales data analysis, reducing report generation time by 50%.

• Automated data cleaning processes, which decreased manual effort by 30 hours per month.

• Implemented predictive analytics for inventory management, leading to a 20% reduction in stockouts.

• Conducted A/B testing fo...read more
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Q2. Introduce yourself
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Data Analyst with a passion for transforming data into actionable insights, skilled in SQL, Python, and data visualization tools.
• Educational Background: Bachelor's degree in Statistics, where I developed a strong foundation in data analysis techniques.

• Technical Skills: Proficient in SQL for database management and data extraction, and Python for data manipulation and analysis.

• Experience: Worked on a project analyzing c...read more
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Q1. When I initially joined my job right after college there was a point where I was constantly
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Q2. It's a great organisation and I've learner a lot here but it's such a small company that it's difficult to find ways to move up ask yourself what makes you feel passionate or happy when you work😊
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Q3. Opportunity great time interest must
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Group discussion can also provide feedback to instructors on participant comprehension.

Q1. Difference between rank and dense rank
Ans. 
Rank assigns unique ranks to each distinct value, while dense rank does not leave gaps between ranks.
• Rank assigns unique ranks to each distinct value in a dataset

• Dense rank does not leave gaps between ranks, assigning consecutive ranks to values with the same rank

• For example, if values are 10, 20, 20, 30, then rank would be 1, 2, 2, 4 and dense rank would be 1, 2, 2, 3
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Q2. How will merge multiple file in python
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Merge multiple files in Python using pandas.concat() or pd.merge() functions.
• Use pandas.concat() function to merge multiple files vertically (row-wise).

• Use pd.merge() function to merge multiple files horizontally (column-wise) based on a common column.

• Ensure that the files have compatible column names and data types before merging.

• Handle any missing or duplicate values appropriately during the merging process.

• Consider ...read more
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Q3. Data frame explain in detail
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A data frame is a two-dimensional data structure in which data is stored in rows and columns.
• Data frames are commonly used in programming languages like R and Python for data analysis.

• Each column in a data frame represents a variable, while each row represents an observation.

• Data frames can contain different types of data, such as numeric, character, and factor.

• Data frames can be created from various sources like CSV f
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Q1. Sql questions mostly about windows function, aggregate, using having clause in group, union vs union all, mostly basics about sql.
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Q2. Power Bi questions - measures in powerbi, calculate, dashboard, excel vs powerbi.
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Q3. Assesment 5 question based on sql and excel. Easy questions like second highest salary, manager salary, count a's.
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Send assignment doings MS Excel

Q1. Asked about the previous project
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Q2. What about your roles in previous company
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Q1. Introduction of yourself
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Assignment of Google sheets

Q1. Self introduction
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Q2. What do you know about analysis and logical reasoning
Ans. 
Analysis and logical reasoning involve examining data, identifying patterns, and drawing conclusions based on evidence.
• Analysis involves breaking down complex information into smaller components for better understanding.

• Logical reasoning is the process of using rational thinking to make sense of information and draw valid conclusions.

• Analytical skills are essential for interpreting data accurately and making informed d...read more
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