Data Pipeline Interview Questions

Last Updated: Nov 10, 2023

Table Of Contents

Data Pipeline Interview Questions For Freshers

What is a data pipeline?

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Explain the concept of data lineage in a data pipeline.

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What is the role of data serialization in a data pipeline?

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What is the difference between batch processing and streaming processing?

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How can you ensure the reliability and fault tolerance of a data pipeline?

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What are the benefits of using data pipelines in a data-driven organization?

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What is the purpose of data preprocessing in a data pipeline?

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What are the challenges faced in building data pipelines?

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Explain the ETL process.

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What are the components of a typical data pipeline architecture?

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Data Pipeline Intermediate Interview Questions

Explain the concept of event-driven architecture and its role in data pipelines.

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Explain the concept of data quality and its importance in data pipelines.

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What are the different types of data integration patterns used in data pipelines?

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How does Apache Spark handle data partitioning and parallel processing?

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What is the role of Apache Spark in data pipelines?

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What is the purpose of data validation in a data pipeline?

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How does Apache Airflow handle scheduling and dependency management of tasks in a data pipeline?

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What is Apache Airflow and how is it used for building data pipelines?

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Explain the concept of stream processing and how it is supported in Apache Kafka.

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What are the key features of Apache Kafka?

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What is Apache Kafka and how is it used in data pipelines?

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Data Pipeline Interview Questions For Experienced

How does Apache Hadoop's HDFS (Hadoop Distributed File System) play a role in data pipelines?

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What are the different data replication strategies used in data pipelines?

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Explain the concept of data deduplication and its significance in data pipelines.

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How does Apache Kafka Connect enable seamless integration between Kafka and external systems in a data pipeline?

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What is the role of Apache Cassandra in a data pipeline architecture?

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Explain the concept of change data capture (CDC) and its use in data pipelines.

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How does Apache Flink provide fault tolerance in data pipelines?

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What are the different windowing strategies in Apache Beam for processing streaming data?

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Explain the role of Apache Beam in building data pipelines.

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How does Apache NiFi handle data routing and transformation?

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What is Apache NiFi and how is it used in building data pipelines?

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