RH :Se présenter, présenter son projet professionnel, qualités&défauts, pourquoi Capgemini, pouquoi tel domaine.. (questions classiques) Opérationnel : Parcourt votre CV et vous pose des questions dessus, rien de très compliqué si on met que ce qu'on a fait ou sait faire sur le CV.
Pourquoi Capgé? Pourquoi la data science? Qu'avez retenu de la présentation?
1.sqoop eval command purpose 2 . Difference between internal table and external table. 3.What is spark session. 4.spark job flow. 5.optimization techniques used in hive,spark.
Given a engine diagram where would I place sensors to get as much data as I can.
Basic Hadoop question, spark & kafka
describe a time you were in a team that was struggling to meet the shared objective.
primary key and unique key joins in SQL spark architecture project explanation
Parler d'un projet au sein de l'entreprise actuelle.
PySpark and DSA coding questions, questions on Hive, Spark, Python, SQL, Data Warehousing, and projects you have worked on.
1. Hive Heap Size Memory Issue 2. HIve Optimization 3. Hive Sub Partition Deletion 4. HIve Stages 5. Add column in between existing columns in Hive 6. Map Join in Hive 7. Change or Check Block SIze 8. Spark Optimization 9. Spark Shared Variables 10. Spark Stages 11. Compress & Decompress Time Comparison of Parquet with others 12. Bloom Filter in HIve 13. 3rd Highest Salary by each department using Spark DataFrame(Not using Hive or SparkSQL) 14. Spark Cache vs Broadcast 15. Create DataFrame in Spark 16. Spark Partition 17. ACID properties in Hive & Spark 18. Count in Spark without using count func() 19. Shuffle Read & Shuffle Write in Spark 20. Spark cache is action or transformation? 21. Spark 1.x vs 2.x 22. What is hint?
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