Dell Software Developer Interview Questions, Process, and Tips

Java and Data Strcuture

Q1. Matrix to find the nearest word
Ans. 
Find the nearest word in a matrix of strings
• Create a matrix of strings

• Calculate the distance between the input word and each word in the matrix

• Return the word in the matrix with the smallest distance to the input word
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Q2. Finding smallest subset in string
Ans. 
Find the smallest subset of strings in an array
• Iterate through the array and compare the length of each string to find the smallest subset

• Use a variable to keep track of the smallest subset found so far

• Return the smallest subset at the end
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Q1. The fundamentals of java
Ans. 
Java fundamentals include object-oriented programming, platform independence, and strong typing.
• Object-oriented programming: Java supports classes, objects, inheritance, and polymorphism.

• Platform independence: Java code can run on any platform with the help of JVM.

• Strong typing: Java enforces strict data type checking to prevent errors.
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Q2. And to explain my projects
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Core Subjects(DBMS,DCN,OS) + Aptitude + Coding(MCQS)

Q1. OOPS CONCEPTS, CHARACTERISITICS OF OOPS, AND MANY MORE
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Q2. CHECK IF A STRING IS SUBSTRING OF ANOTHER STRING
Ans. 
Check if a string is a substring of another string
• Use the indexOf() method to check if the substring exists in the main string

• If indexOf() returns -1, the substring is not present

• If indexOf() returns a value greater than -1, the substring is present
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Logical reasoning, quantitative aptitude

Q1. Operating systems, oops concepts, networking and database related.
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Q2. Scheduling algorithm
Ans. 
Scheduling algorithm is a method used to determine the order of tasks to be executed on a computer system.
• Scheduling algorithms help in optimizing resource utilization and improving system performance.

• Examples of scheduling algorithms include First Come First Serve, Shortest Job Next, Round Robin, etc.
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Q3. Cache policy explain
Ans. 
Cache policy determines how data is stored, accessed, and replaced in a cache memory.
• Cache policies include FIFO, LRU, LFU, and random replacement algorithms.

• FIFO (First In, First Out) replaces the oldest data first.

• LRU (Least Recently Used) replaces the least recently accessed data first.

• LFU (Least Frequently Used) replaces the least frequently accessed data first.

• Random replacement algorithm replaces data randomly.
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Q4. How do you donormalisation?
Ans. 
Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Normalization involves breaking down data into smaller, more manageable parts.

• It helps in reducing data redundancy by storing data in a structured way.

• Normalization ensures data integrity by avoiding anomalies like insertion, update, and deletion anomalies.

• There are different normal forms like 1NF, 2NF, 3NF, BC...read more
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