EPAM Systems Interview Questions, Process, and Tips

Good Programming code simple but complex

Q1. Tell me About yourself
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Q2. Tell me about your framework
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My framework is a data-driven automation framework built using Selenium WebDriver and TestNG.
• Built using Selenium WebDriver for web automation

• Utilizes TestNG for test case management and execution

• Follows data-driven approach for test data separation

• Includes reporting features for test result analysis
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Q3. Explain Static keyword in Java
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Static keyword in Java is used to create class-level variables and methods that can be accessed without creating an instance of the class.
• Static variables are shared among all instances of a class.

• Static methods can be called without creating an object of the class.

• Static blocks are used to initialize static variables.

• Static keyword can also be used to create static nested classes.
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Q4. Explain FInal Keyword in java
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Final keyword in Java is used to restrict the user from changing the value of a variable, making it a constant.
• Final keyword can be applied to variables, methods, and classes.

• Final variables must be initialized and cannot be reassigned.

• Final methods cannot be overridden in subclasses.

• Final classes cannot be subclassed.
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Q5. Diff between abstract and interface
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Abstract class can have both abstract and non-abstract methods, while interface can only have abstract methods.
• Abstract class can have constructors, fields, and methods, while interface cannot have any implementation.

• A class can extend only one abstract class but can implement multiple interfaces.

• Abstract classes are used to define a common behavior for subclasses, while interfaces are used to define a contract for cla...read more
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Q1. Technical MCQ Questions on react
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Q1. Using hooks in react
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React hooks allow functional components to manage state and side effects, enhancing code reusability and readability.
• useState: Manages state in functional components. Example: const [count, setCount] = useState(0);

• useEffect: Handles side effects like data fetching. Example: useEffect(() => { fetchData(); }, []);

• Custom Hooks: Create reusable logic. Example: function useFetch(url) { /* logic */ }

• useContext: Access con...read more
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Q2. Event Loop
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Q3. Event Delegation
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Q4. Array and string related dsa questions
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Q5. Behaviour questions
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Q1. Current day to day tasks
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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.
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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
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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
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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
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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. In-depth question related to Java garbage collections, Java multi threading, daemon thread.
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Q2. Questions related to Java streams, functional interface, and some questions implementing streams.
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Q3. Questions related to desing principles, solid, event driven, factory pattern etc.
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Q1. In-depth questions on Hibernate, Spring bean life cycles, various annotations.
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Q2. Questions related to Kafka, redis, and multithreading.
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Q3. Questions related to design pattern, behavioral design pattern, factory, observer etc.
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