A3logics Data Administrator Interview Questions and Answers

Q1. Coalesce, SQL Order of Execution
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Q2. Given a table with fields(id, name, salary, managerId) find out the managers who have atleast 5 reportees under him/her.
Ans. 
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
• Write a SQL query to count number of reportees for each manager using GROUP BY clause

• Add HAVING clause to filter out managers with atleast 5 reportees

• Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
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Q3. How to manage large datasets in python
Ans. 
Use libraries like pandas and dask to efficiently manage large datasets in Python.
• Use pandas library for data manipulation and analysis.

• Use dask library for parallel computing and out-of-core processing.

• Optimize memory usage by loading data in chunks or using data types efficiently.

• Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
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Q4. Name few of the commonly used python libraries used by DA
Ans. 
Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
• Pandas - used for data manipulation and analysis

• NumPy - used for numerical computing and working with arrays

• Matplotlib - used for data visualization

• Scikit-learn - used for machine learning and data mining
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Q1. Bias variance trade off
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Q2. What is AB testing
Ans. 
AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.
• AB testing involves creating two versions (A and B) of a webpage or app with one differing element

• Users are randomly assigned to either version A or B to measure performance metrics

• The version that performs better in terms of the desired outcome is selected for implementation

• Example: Testing two different call...read more
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Q3. Basic traditional ML question about ML metrics, bagging boosting etc.
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It was a classification problem

Q1. Questions about assignment
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Q2. Questions from resume.
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Q3. Questions based on probability, statistics and loss functions
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Sql assessment round

Q1. Python gcp biquery airflow dataflow sql
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Q1. Recent projects experience, bigquery, sql
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Q1. Salary discussion
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Python and SQL questions were asked

Q1. I was asked about the project
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Q1. ACID properties of DBMS
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Q1. HR question and family background
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It was a written test where theoretical SQL questions were asked like primary key, foreign key, set operators and some queries

Q1. All SQL Concepts like Join, normalization, trigger, stored procedure, keys, drop truncate del difference, where having difference, Aggregate scaler window functions, fetch duplicate records query, acid pro...read more
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Q1. Self Introduction
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Q2. Salary Expectation
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Q1. 14 questions in excel formulas
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Well designed to test the aptitude competence of the candidate.

Q1. Explanations for the answers given to the aptitude questions.
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Q2. Questions from python.
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