Hadoop Ecosystem & Related Tools Questions
Overview of the Hadoop ecosystem components (e.g., HDFS, MapReduce, YARN) and related tools (Hive, Pig, HBase, Sqoop, Flume, Oozie, Hue, etc.). Covers batch and streaming data processing, data ingestion and ETL pipelines, data warehousing in Hadoop, and operational considerations for deploying and managing Hadoop-based data pipelines in modern data architectures.
MediumTechnical
53 practiced
Write a Spark job (PySpark or Scala) outline that reads Parquet data from HDFS, deduplicates records by 'id' keeping the latest 'updated_at' timestamp, and writes the deduplicated result partitioned by 'date' in a Hive-compatible format. Describe optimizations such as partition pruning, broadcast joins, and file count control.
HardTechnical
42 practiced
As a data engineering lead, a stakeholder requests ad-hoc analytics on raw logs but running ad-hoc queries is slowing down critical ETL jobs. Outline your decision process: would you refactor the platform (e.g., add dedicated interactive cluster, caching) or impose governance/controls? Describe stakeholders to involve, short-term mitigations, metrics to evaluate success, and a proposed long-term solution.
MediumTechnical
42 practiced
Explain Hive partitioning versus bucketing. For each, describe how it affects file pruning, join strategies, sampling, and when a bucketed join or map-side join is beneficial. Include concrete recommendations for choosing partitions and buckets for a customer-orders dataset.
EasyTechnical
53 practiced
What is Apache Sqoop and when would you use it? Provide a sample Sqoop import command to import a MySQL table named 'orders' into HDFS under /user/hive/warehouse/staging/orders and include an example of an incremental import using a numeric primary key. Explain the key options you used and common pitfalls.
HardTechnical
47 practiced
Your NameNode is experiencing long GC pauses causing cluster unavailability. Describe how you would diagnose the problem (which logs and tools to use), short-term mitigations to restore availability, and long-term strategies (heap tuning, CMS/G1 settings, federation, HA, reducing metadata) to prevent recurrence.
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