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 -   What is Jira and what is it used for?
 
 
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-Certainly! Here are 10 more data engineering-specific interview questions that focus on Python and related tools and concepts:
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 1. **What is Apache Spark, and how can you use it with Python?**
    - **Answer**: Apache Spark is a distributed data processing framework that allows for big data processing with in-memory computing capabilities. You can use it with Python through PySpark, which provides a Python API for Spark. PySpark enables data engineers to write Spark applications in Python.
 
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       - Optimize data shuffling by partitioning data effectively.
       - Use caching mechanisms to reduce latency.
       - Ensure proper resource allocation and scaling to handle large data volumes.
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-These questions delve into various aspects of data engineering with Python, including tools, techniques, and best practices for managing and processing data efficiently.