PRAG Rural I.T Business Solutions Interview Questions and Answers

Q1. Current day to day tasks
Ans. 
My current day-to-day tasks involve designing and implementing data pipelines, optimizing data storage and retrieval, and collaborating with cross-functional teams.
• Designing and implementing data pipelines to extract, transform, and load data from various sources

• Optimizing data storage and retrieval processes for efficiency and scalability

• Collaborating with cross-functional teams to understand data requirements and del...read more
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Q2. Question on data modelling(star vs snowflake)
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Q3. Questions on data warehousing Dimensions, Facts, CDC, SCD types
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Q4. Questions on snowflake product and variety on objects there use case and optimizations, partition pruning.
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Q5. SQL queries: as per snowflake documentation 1. Read json file and extract data 2. sql query with subqueries to update records 3. sql query on window functions
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Q6. Easy Pyspark coding question.
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Q1. Project end to end detailed explanation and follow up questions.
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Q2. Questions on data warehousing concepts like facts & dimensions in detail
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Q3. Question on semi structured file formats
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Q4. Questions on snowflake product: 1. tasks 2. streams 3. time travel 4. meta data caching 5. views vs materialized views 6. how would you spin up an warehouse cluster
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Q5. Questions on spark 1. lazy evaluation 2. handling skew 3. data partitioning 4. pandas vs spark
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Q6. Questions on aws 1. lambda functions, synchronous vs asynchronous calls 2. dynamic frames, transformations 3. glue crawler 4. s3 storage classes
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Q7. SQL question using cross join, python question on string
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Q1. End to end project architecture.
Ans. 
The end-to-end project architecture involves designing and implementing the entire data pipeline from data ingestion to data visualization.
• Data ingestion: Collecting data from various sources such as databases, APIs, and files.

• Data processing: Cleaning, transforming, and aggregating the data using tools like Apache Spark or Hadoop.

• Data storage: Storing the processed data in data warehouses or data lakes like Amazon S3 ...read more
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Q2. Questions on data modelling: 1. facts and types of facts 2. dimensions and its types 3. normalization vs denormalization
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Q3. Questions on automating spark notebooks and optimization on spark job.
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Q4. How to migrate 1000s of tables using spark(databricks) notebooks
Ans. 
Use Spark (Databricks) notebooks to migrate 1000s of tables efficiently.
• Utilize Spark's parallel processing capabilities to handle large volumes of data

• Leverage Databricks notebooks for interactive data exploration and transformation

• Automate the migration process using scripts or workflows

• Optimize performance by tuning Spark configurations and cluster settings
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Q5. Questions on delta format
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Q6. Sql question on joins and numbers of records for each type of join.
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Q1. Reason for change
Ans. 
Seeking new challenges and opportunities for growth in a more dynamic environment.
• Desire for new challenges and learning opportunities

• Seeking a more dynamic work environment

• Looking to expand skill set and experience

• Interested in working on cutting-edge technologies

• Seeking better career advancement prospects
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Q2. Expectations from EPAM
Ans. 
I expect EPAM to provide challenging projects, opportunities for growth, a collaborative work environment, and support for continuous learning.
• Challenging projects that allow me to utilize my skills and knowledge

• Opportunities for professional growth and advancement within the company

• A collaborative work environment where teamwork is valued

• Support for continuous learning through training programs and resources
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Q3. Willing to relocate? when can you join
Ans. 
Yes, I am willing to relocate for the right opportunity. I can join the company within 4 weeks.
• Willing to relocate for the right opportunity

• Can join within 4 weeks

• Open to discussing relocation assistance if needed
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Q1. Basic Communication Skills
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Q2. Background and why to change the job
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Q1. Brief about your background
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Q2. Excel and SQL basic questions. For data visualisation.
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Q1. What are the roles you were responsible for in previous company
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Q2. Pivot tables and Financial basic questions on revenue.
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Q1. How do you think will fit in the role?
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Q2. Basic understanding of Revenue and Financial statements.
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Q3. What do you want to do in life? The goal.
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Q1. Basic communication skills with the background test.
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Q2. Why this role suits you.
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Q3. Current and expectation of salary.
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Q1. Tell me about yourself
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Q2. About internship in details
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Q1. Normal introduction
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Q2. Tell me about IndiaMART
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Q1. Tell me about yourself in briefly
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Q2. About internship
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Q3. About marketing and sales
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Q4. Why do you choose the field work
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Q5. About IndiaMART
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Q6. Why do you choose the IndiaMART and job description
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Q7. What is your strength and weakness
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Q8. Skills and hobbies and achievements
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Q1. About yourself in briefly
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Q2. Hobbies
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Q3. Skills
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Q4. Achivement
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Q5. About IndiaMART or job descriptions
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Q6. Why do you choose IndiaMART
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Q1. Can you describe your experience during the interview?
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Q2. On job profile based
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Q1. What was your experience with the work culture in your previous job?
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Q2. Can you describe your previous experience?
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Q3. Are you interested in relocating for this position?
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Q1. I am krishna murthy p
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Q2. I am Instrested bmm ispat company one of the best company
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Q3. One opportunity given sir
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Q4. Electrical engineering
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Q5. I am name krishna murthy p i am stady diploma electrical engineering I am experience totally 8 years
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Q1. What is the Singleton pattern ? in how many ways can this pattern be broken ?
Ans. 
Singleton pattern ensures a class has only one instance and provides a global point of access to it.
• Singleton pattern can be implemented by making the constructor private and providing a static method to access the instance.

• The pattern can be broken by using reflection to access the private constructor and create multiple instances.

• Another way to break the Singleton pattern is by using multiple class loaders in Java.

• Th...read more
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Q2. What is the internal implementation of hashmap? Let's assume that you want to store duplicate keys in the hashmap, how can we achieve the same in hashmap ?
Ans. 
HashMap internally uses an array of linked lists to store key-value pairs. To store duplicate keys, we can use a custom implementation of HashMap.
• HashMap internally uses an array of linked lists to handle collisions.

• To store duplicate keys, we can create a custom HashMap implementation that allows multiple values for the same key.

• One approach is to use a HashMap with values as lists, where each key can have multiple va
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Q1. What microservices patterns are you aware ? let's assume that there is a microservice based architecture and service A is calling service B which in turn service C. If service b fails, how will you manage ...read more
Ans. 
Use compensating transactions and distributed tracing for managing transaction and logging in case of service B failure.
• Implement compensating transactions to rollback changes made by service B in case of failure.

• Use distributed tracing to track the flow of requests and identify where the failure occurred.

• Implement retry mechanisms to handle transient failures in service B.

• Use circuit breakers to prevent cascading fail...read more
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Q2. System Design question : Design a booking wesite for.eg: bookin.com ?
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Common aptitude questions on mettl platform

Q1. Python Standard interview questions
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Q2. SQL Standard interview questions (Easy)
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Q3. CaseStudy and questions based on it.
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Q1. Common hr questions
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Q2. Puzzles
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Q3. Project Discussion
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