Luxoft Interview Questions, Process, and Tips

Q1. Screening round - telephonic interview
Add your answer

Q1. Technical round - Domain specific questions
Add your answer

Q1. Project Overview and Previous Work Experience related questions
Add your answer

Q1. Why do you want to leave your actual job
Add your answer
Q2. What are your salary expectations?
Add your answer

Q1. What is Pyspark?
Ans. 
Pyspark is a Python API for Apache Spark, a powerful open-source distributed computing system.
• Pyspark is used for processing large datasets in parallel across a cluster of computers.

• It provides high-level APIs in Python for Spark programming.

• Pyspark allows seamless integration with other Python libraries like Pandas and NumPy.

• Example: Using Pyspark to perform data analysis and machine learning tasks on big data sets.
Answered by AI
Add your answer
Q2. What is Pyspark SQL?
Ans. 
Pyspark SQL is a module in Apache Spark that provides a SQL interface for working with structured data.
• Pyspark SQL allows users to run SQL queries on Spark dataframes.

• It provides a more concise and user-friendly way to interact with data compared to traditional Spark RDDs.

• Users can leverage the power of SQL for data manipulation and analysis within the Spark ecosystem.
Answered by AI
Add your answer
Q3. How to merge 2 dataframes of different schema?
Ans. 
To merge 2 dataframes of different schema, use join operations or data transformation techniques.
• Use join operations like inner join, outer join, left join, or right join based on the requirement.

• Perform data transformation to align the schemas before merging.

• Use tools like Apache Spark, Pandas, or SQL to merge dataframes with different schemas.
Answered by AI
Add your answer
Q4. What is Pyspark streaming?
Ans. 
Pyspark streaming is a scalable and fault-tolerant stream processing engine built on top of Apache Spark.
• Pyspark streaming allows for real-time processing of streaming data.

• It provides high-level APIs in Python for creating streaming applications.

• Pyspark streaming supports various data sources like Kafka, Flume, Kinesis, etc.

• It enables windowed computations and stateful processing for handling streaming data.

• Example: C...read more
Answered by AI
Add your answer

Asked about CAPL and ethernet

Q1. Process and Python
Add your answer

Q1. Python questions
Add your answer