Amdocs Data Engineer Interview Questions and Answers

Hackerearth problem on reversing the string & one more array question

Q1. Reverse the string
Ans. 
Reverse a given string
• Use built-in functions like reverse() in Python

• Iterate through the string in reverse order and append characters to a new string

• Use stack data structure to reverse the string
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Q2. SQL based windowing function
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Q1. What are cyclic linked lists
Ans. 
Cyclic linked lists are linked lists where the last node points back to the first node, creating a loop.
• Cyclic linked lists have no NULL pointers, making it difficult to determine the end of the list.

• They can be used to efficiently represent circular data structures like a round-robin scheduling algorithm.

• Detecting cycles in a linked list can be done using Floyd's cycle-finding algorithm.
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Q2. Coding question from BST
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Q1. About data modelling and Architecture
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Q2. Real world problem and solution
Ans. 
Real world problem: Predicting customer churn in a subscription-based service
• Collect and analyze customer data such as usage patterns, demographics, and interactions

• Use machine learning algorithms to identify factors leading to churn

• Implement targeted retention strategies based on the analysis

• Monitor and evaluate the effectiveness of the strategies over time
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Q1. Sql technical round
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Q2. About various azure services
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Q1. About my work area
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Q2. Managerial and company fit
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Q1. Explain surrogate key
Ans. 
Surrogate key is a unique identifier used in databases to uniquely identify each record in a table.
• Surrogate keys are typically generated by the system and have no business meaning.

• They are used to simplify database operations and improve performance.

• Example: Using an auto-incrementing integer column as a surrogate key in a table.
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Q1. About project what are optimization you have done
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Q1. What is data warehousing
Ans. 
Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.
• Data warehousing involves extracting data from multiple sources

• Data is transformed and loaded into a central repository

• Data can be queried and analyzed for business intelligence purposes

• Examples include data warehouses like Amazon Redshift, Snowflake, and Google BigQuery
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Sql queries not too difficult asked to write on google document.

Q1. It’s was for contractual position and had only one round which is technical and HR combined
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