Meghmani Dyes and Intermediates Shift Incharge Interview Questions and Answers

Q1. Get all permutations of [1,2,3]
Ans. 
Generate all permutations of [1,2,3] as array of strings
• Use recursion to generate all possible permutations

• Swap elements to create different permutations

• Base case: when only one element is left, add to result array
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Q2. What is the purpose of the slice function in Redux Toolkit?
Ans. 
The slice function in Redux Toolkit is used to create a copy of a portion of an array state.
• Allows for immutably updating arrays in Redux state by creating a new array with a subset of elements.

• Can be used to remove elements from an array without mutating the original state.

• Example: const newState = state.slice(0, 2) will create a new array with the first 2 elements of the original state.
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Q1. How would you find object is Array without using Array.isArray() function?
Ans. 
Check if an object is an array without using Array.isArray() function
• Check if the object has a length property

• Check if the object has a slice method

• Check if the object has an index of 0
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Some basic aptitube and reasoning problems were asked. Easily solvable.

They asked multiple choice questions on oracle sql and pl/sql emphasizing more on reading a code block ask output questions. These were of medium hardness.

Q1. They asked what you do on daily basis in your work. What is most complex thing you have implemented and some complex questions on multilevel plsql collection module. It lasted for 1.5 hrs
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Q1. Questions regarding Oracle architecture and its component
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Q2. Question on live implementation of multilevel collection, bulk collect and record limiting and bulk exception handleing.
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Q3. Dml error logging functionality
Ans. 
DML error logging functionality allows for capturing errors during data manipulation language operations.
• DML error logging can be enabled at the table level using the LOG ERRORS clause in DML statements.

• It helps in identifying and resolving data issues without causing the entire transaction to fail.

• Errors are logged in a separate error table, allowing the main operation to continue processing.

• Example: INSERT INTO table...read more
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Q4. Query and join optimization
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Q1. Related to salary and what benefits they provide.
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Q1. Hadoop basics on computing
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Q2. Distribution basics for processing the data
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Q1. Architecture of bigdata systems
Ans. 
Bigdata systems architecture involves distributed storage, processing, and analysis of large volumes of data.
• Utilize distributed file systems like HDFS for storage

• Use parallel processing frameworks like Apache Spark or Hadoop for data processing

• Implement data pipelines for ETL processes

• Leverage NoSQL databases like Cassandra or MongoDB for real-time data querying

• Consider data partitioning and replication for fault tole
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Q2. How will the bigdata system distribution for storage andcompute happen
Ans. 
Big data system distribution for storage and compute involves partitioning data across multiple nodes for efficient processing.
• Data is partitioned across multiple nodes to distribute storage and processing load.

• Hadoop Distributed File System (HDFS) is commonly used for storage distribution.

• Apache Spark utilizes a cluster computing framework for distributed computing.

• Data locality is important to minimize data transfer ...read more
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