DKSH Senior Service Engineer Interview Questions and Answers

Q1. Design a system like youtube
Ans. 
Design a system similar to YouTube for video sharing and streaming
• Implement user authentication and authorization for uploading and viewing videos

• Create a database to store video metadata, user information, and comments

• Develop a recommendation algorithm based on user preferences and viewing history

• Utilize a content delivery network (CDN) for efficient video streaming

• Include features like video monetization, live stream
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Q1. Project related
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Q1. Scenario based question on kafka
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Q1. Multi threading print odd even with 2 threads but output should be in sync
Ans. 
Use two threads to print odd and even numbers in sync
• Create two threads, one for printing odd numbers and one for printing even numbers

• Use synchronization mechanisms like mutex or semaphore to ensure output is in sync

• Example: Thread 1 prints odd numbers (1, 3, 5, ...) and Thread 2 prints even numbers (2, 4, 6, ...)
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Q2. Largest common prefix in string array
Ans. 
Find the largest common prefix among an array of strings.
• Iterate through the characters of the first string and compare with the corresponding characters of other strings.

• Stop when a mismatch is found or when reaching the end of any string.

• Return the prefix found so far.
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Q1. Saga pattern in microservice
Ans. 
Saga pattern is a design pattern used in microservices architecture to manage distributed transactions.
• Saga pattern breaks down a transaction into a series of smaller, independent steps.

• Each step in the saga is a separate transaction that can be rolled back if needed.

• If one step fails, compensating transactions can be executed to undo the changes made by previous steps.

• Saga pattern helps maintain data consistency in a ...read more
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Q2. API validation and security
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Q1. Micro service inter communication
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Q2. Hash map hash set implementation
Ans. 
Hash map and hash set are data structures that use hashing to store key-value pairs and unique values respectively.
• Hash map uses key-value pairs where keys are hashed to find the corresponding value

• Hash set stores unique values using hashing to quickly check for duplicates

• Example: HashMap<String, Integer> map = new HashMap<>(); HashSet<Integer> set = new HashSet<>();
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Q1. Validation frame work .
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Q2. Design pattern , .
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Q3. Singleton pattern and how to break
Ans. 
Singleton pattern ensures a class has only one instance and provides a global point of access to it.
• Singleton pattern involves a private constructor, a static method to access the instance, and a static variable to hold the instance.

• To break the singleton pattern, one can use reflection to access the private constructor and create multiple instances.

• Another way to break the singleton pattern is by using serialization a
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Q1. Negotiation on package .
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Q2. Why to join here
Ans. 
I am excited about the innovative projects and collaborative team environment at this company.
• Opportunity to work on cutting-edge projects

• Collaborative team environment

• Strong company culture and values

• Room for growth and advancement

• Positive reputation in the industry
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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
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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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It was good experience as a. Fresher

Q1. How are you feeling right now
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It was good but prepared on technical basis

Q1. What is primary key
Ans. 
Primary key is a unique identifier for each record in a database table.
• Primary key ensures each record in a table is unique

• It can be a single column or a combination of columns

• Primary key values cannot be NULL

• Example: In a table of students, student ID can be a primary key
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Q2. What is foreign key
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Foreign key is a column or a set of columns in a table that uniquely identifies a row in another table.
• A foreign key establishes a relationship between two tables in a database.

• It ensures referential integrity by enforcing a link between the data in the two tables.

• Foreign key constraints prevent actions that would destroy links between tables, such as deleting a row that is referenced by another table.

• Example: In a dat...read more
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