XYZ Software Data Analyst Interview Questions and Answers

Q1. Dense rank and row number differenxw
Ans. 
Difference between dense rank and row number
• Dense rank assigns the same rank to ties, while row number assigns a unique rank to each row

• Dense rank skips ranks when there are ties, while row number does not

• Dense rank is used to calculate percentiles, while row number is used for pagination
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Q2. Sql and nosql diff? Python functions
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Q1. What is 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 consecutive integers to each distinct value based on their order.

• Dense rank also assigns consecutive integers, but does not leave gaps between ranks.

• For example, if we have values 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. What is RLS in Power Bi?
Ans. 
RLS in Power Bi stands for Row-Level Security, which allows users to restrict access to data based on their role or profile.
• RLS in Power Bi is used to control access to data at the row level

• It allows users to define rules to restrict data based on their role or profile

• RLS can be implemented using DAX expressions to filter data dynamically

• For example, a sales manager can only see data related to their region using RLS
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Q1. How would you identify time for any project?
Ans. 
Identifying time for a project involves creating a timeline, setting deadlines, and monitoring progress.
• Create a project timeline outlining key milestones and tasks

• Set deadlines for each task to ensure timely completion

• Monitor progress regularly to identify any delays and adjust timelines accordingly
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Q1. If your seniors are on leave and you dont know how to deal situation what will you do
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Q2. How you will deal with your juniours when they dont have conceptual knowledge
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These are the general questions which we had studied upto 10th and likely to be coding ....i had never attempted to this aptitude test...just read by my seniors of btech

Coding is the favorite part of my life.....i started...no ..no..my coach started to taught me from C...then to C++, in the final year I'm impressed on Java and python for data science and machine learning......and much more interesting was IOT ....the world much better and with IOT without effecting the species by 5G and 4G networks

Good but very tough and difficult not easy to crack

Q1. About dsa and basic
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KPI's for the ecommerce industries

Q1. Introduction about our self
Ans. 
I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.
• I have a strong background in statistical analysis and data visualization techniques.

• Proficient in SQL, Python, and Tableau for data manipulation and reporting.

• Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.
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Q2. Complete discussion about projects
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