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Desafío Spark LRBA

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Desafío Spark LRBA

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Pon a prueba tus conocimientos sobre Spark y LRBA

Created by

HR Mexico
HR Mexico
Mexico

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Desafío Spark LRBA
 

Desafío Spark LRBAOnline version

Pon a prueba tus conocimientos sobre Spark y LRBA

by HR Mexico
1

¿Qué característica de Spark permite optimizar el plan de ejecución de operaciones antes de su procesamiento real?

2

Al usar repartition(100) en un DataFrame de 10 GB, ¿qué problema potencial podría surgir?

3

¿Qué técnica optimiza una consulta SQL con múltiples filtros sobre el mismo Dataset en LRBA?

4

En un job de LRBA que procesa micro-lotes cada 30 segundos, ¿qué ocurre si un batch tarda 45 segundos en procesarse?

5

¿Cuándo es obligatorio usar Datasets en lugar de DataFrames en LRBA?

6

¿Qué parámetro de un Target en LRBA es crítico para evitar 'skew' en escritura de archivos particionados?

7

Al implementar un Source HTTP con OAuth, ¿dónde debe almacenarse el clientSecret?

8

En la pestaña 'Spark SQL' de la consola LRBA, ¿qué indica un nodo de color rojo en el DAG?

9

¿Qué ocurre si un job LRBA supera el tiempo máximo configurado en el Job Manager?

10

¿Por qué se recomienda evitar df.collect() en el método transform de un job LRBA?

11

¿Qué configuración de persistencia aplica LRBA por defecto al usar cacheDataset()?

12

Si una UUAA con permisos RW-GROUP_SHARED-INBOX escribe un archivo en inbox/UUAA_B/file.parquet, ¿qué UUAA puede leerlo?

 
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