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Aristocrat Data Analyst Interview Questions and Answers
Aristocrat Data Analyst Interview Experiences
1 interview found
Anonymous
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. What is the difference between Union and Union all ?
- Ans.
Union combines the results of two or more SELECT statements, while Union all includes all rows, including duplicates.
Union removes duplicate rows from the result set, while Union all includes all rows.
Union sorts the result set, while Union all does not.
Union is slower than Union all because it performs a distinct operation.
Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;
Example: SELECT column1 FRO
- Q2. Which query is more faster , joins or union?
- Ans.
Joins are generally faster than unions.
Joins are typically faster than unions because they combine data from multiple tables based on a common column, while unions combine data from multiple queries into a single result set.
Joins can utilize indexes on the columns being joined, which can improve performance.
Unions involve combining the results of multiple queries, which can be slower as it requires merging and sorting ...
Interview Preparation Tips
- SQL
- Power BI
Top trending discussions
Interview questions from similar companies
DSA Basic and 1 medium level
Based on solutions we have written and rest on CV
Aakanksha Jadhav
Contained aptitude test with both numericals as well as coding questions
It was a one on one round
(2 Questions)
- Q1. Final discussion
- Q2. If ready to relocate
- Ans.
Yes, I am open to relocation for the right opportunity.
I am willing to relocate for a job that aligns with my career goals and offers growth opportunities.
I am open to exploring new cities and cultures.
I understand that relocation may come with some challenges, but I am prepared to face them.
I am excited about the prospect of working with a new team and contributing to the success of the company.
I applied via Company Website and was interviewed in Dec 2019. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. Questions were mostly asked on SQL, Python libraries, Machine learning and Excel, puzzles to solve before interview there was test case study to solve.
- Q2. What is row number, rank, dense rank? explain partition by, indexing joins, query optimization techniques
- Ans.
Explanation of row number, rank, dense rank, partition by, indexing joins, and query optimization techniques.
Row number is a function that assigns a unique number to each row in a result set.
Rank is a function that assigns a rank to each row based on the values in a specified column.
Dense rank is a function that assigns a rank to each row based on the values in a specified column, but with no gaps in the ranking.
Partit...
- Q3. Real-time examples on data analytics with examples
- Ans.
Real-time examples of data analytics
Predictive maintenance in manufacturing
Real-time fraud detection in banking
Personalized recommendations in e-commerce
Real-time traffic analysis for smart cities
Real-time health monitoring in medical devices
Skills evaluated in this interview
Data Analyst Intern Interview Questions & Answers
Mobile Premier League
Nayan Bhatt
posted on 14 Jan 2025
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
(2 Questions)
- Q1. Leetcode sql question
- Q2. "Pandas and NumPy question."
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Jan 2024. There were 5 interview rounds.
(2 Questions)
- Q1. Resume based questions on past experience
- Q2. Case study based questions
(3 Questions)
- Q1. Resume based questions,
- Q2. Moderate SQL Coding question
- Q3. Case study based questions
(1 Question)
- Q1. General HR related questions
(1 Question)
- Q1. Managerial & Aptitude questions
(1 Question)
- Q1. Managerial discussion about role & industry
DSA Basic and 1 medium level
Based on solutions we have written and rest on CV
Vaibhav Ashok Tandale
(2 Questions)
- Q1. How to read parquet and csv file in spark .
- Ans.
To read parquet and csv files in Spark, use SparkSession's read method with appropriate options.
Create a SparkSession object
Use the read method of SparkSession to read parquet files with .parquet() method
Use the read method of SparkSession to read csv files with .csv() method
Specify options like header, delimiter, inferSchema, etc. as needed
Load the data into a DataFrame for further processing
- Q2. How to check second highest sallery.
- Ans.
To check the second highest salary, use the SQL query with ORDER BY and LIMIT.
Use SQL query with ORDER BY clause to sort salaries in descending order.
Use LIMIT 1,1 to select the second highest salary.
Example: SELECT salary FROM employees ORDER BY salary DESC LIMIT 1,1
Interview Preparation Tips
Skills evaluated in this interview
Contained aptitude test with both numericals as well as coding questions
It was a one on one round
(2 Questions)
- Q1. Final discussion
- Q2. If ready to relocate
- Ans.
Yes, I am open to relocation for the right opportunity.
I am willing to relocate for a job that aligns with my career goals and offers growth opportunities.
I am open to exploring new cities and cultures.
I understand that relocation may come with some challenges, but I am prepared to face them.
I am excited about the prospect of working with a new team and contributing to the success of the company.
I applied via Company Website and was interviewed in Dec 2019. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. Questions were mostly asked on SQL, Python libraries, Machine learning and Excel, puzzles to solve before interview there was test case study to solve.
- Q2. What is row number, rank, dense rank? explain partition by, indexing joins, query optimization techniques
- Ans.
Explanation of row number, rank, dense rank, partition by, indexing joins, and query optimization techniques.
Row number is a function that assigns a unique number to each row in a result set.
Rank is a function that assigns a rank to each row based on the values in a specified column.
Dense rank is a function that assigns a rank to each row based on the values in a specified column, but with no gaps in the ranking.
Partit...
- Q3. Real-time examples on data analytics with examples
- Ans.
Real-time examples of data analytics
Predictive maintenance in manufacturing
Real-time fraud detection in banking
Personalized recommendations in e-commerce
Real-time traffic analysis for smart cities
Real-time health monitoring in medical devices
Skills evaluated in this interview
Aristocrat Interview FAQs
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Aristocrat Data Analyst Interview Process
based on 1 interview
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