New game
Download
Get Academic Plan
Share game
Integrate it into your platform

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.
Download
You have exceeded the maximum number of games you can integrate into Google Classroom with your current Plan.

To integrate as many games as you want in Google Classroom, you need an Academic Plan or a Commercial Plan.

You have exceeded the maximum number of games you can integrate into Microsoft Teams with your current Plan.

To integrate as many games as you want in Microsoft Teams, you need an Academic Plan or a Commercial Plan.

Downloading games is an exclusive feature for users with an Academic Plan or a Commercial Plan.

Get your Academic Plan or your Commercial Plan now and start integrating your games into your LMS, website or blog.

If you wish, you can download a demo game here and test its integration:

SPARK - LRBA 13

Quiz

Played 27 %Accuracy 77 Average time 06:32

About this activity

Utilidades Spark

Created by

Mexico

Download the paper version to play

Make your own free game from our game creator
Compete against your friends to see who gets the best score in this game

Top Games

%
Anonymous
Anonymous
%
%
%
You have exceeded the maximum number of games you can print with your current Plan.

To print as many games as you want, you need an Academic Plan or a Commercial Plan.

Print your game
SPARK - LRBA 13
 

SPARK - LRBA 13Online version

Utilidades Spark

by HR Mexico
1

¿Cuál es el flag para especificar el modo de despliegue en spark-submit?

2

¿Qué servicio persiste la Spark UI después de terminación del job?

3

¿Cuál conf habilita Adaptive Query Execution?

4

En modo Kubernetes, ¿qué opción especifica la imagen del contenedor?

5

¿Qué utilidad lanza REPL Python?

6

¿Puerto default de Spark History Server?

7

¿Qué conf comprae comprime event logs?

8

Para Kerberos en spark-submit, usa:

9

¿Qué sink exporta métricas a Prometheus?

10

En dynamic allocation, ¿conf min executors?

11

¿Utilidad para queries SQL batch?

12

¿Qué mide shuffle read en Spark UI?

13

Para Python deps:

14

¿Modo master para Standalone?

15

Conf para overhead memoria YARN:

16

¿Qué habilita speculation?

17

API endpoint para stages:

18

Serializer eficiente default en Spark 3+:

19

Para checkpoint streaming:

20

¿Qué herramienta mide performance en shell?

Explicación

--deploy-mode cluster/client determina ubicación del driver.

History Server lee event logs de HDFS/S3 en puerto 18080.

spark.sql.adaptive.enabled=true activa coalescing, skew handling.

spark.kubernetes.container.image define Docker image para pods.

pyspark inicia SparkSession en Python interactivo.

18080 expone API REST para apps históricas.

Codec LZ4 reduce tamaño logs en HDFS.

--principal user@REALM --keytab /path autentica sin tickets.

org.apache.spark.metrics.sink.PrometheusServlet en metrics.conf.

Establece piso de executors activos.

spark-sql -e ejecuta SQL no interactivo.

Bytes shuffle read indica overhead de redistribución.

--py-files distribuye .zip/.egg a executors.

spark://ip:7077 apunta a Spark Master.

10% extra para AM en YARN.

Re-ejecuta tasks lentos en paralelo.

REST API en History Server/UI.

spark.serializer=org.apache.spark.serializer.KryoSerializer reduce overhead.

HDFS/S3 path para fault-tolerance.

Librería para timing CPU, shuffle, etc. en REPL.

Are you sure you want to leave the page?

If you leave the page, you will lose your game progress.