Apache Spark Online Test
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The Apache Spark online test assesses knowledge of the Spark framework, how to use it to configure Spark clusters, and how to perform distributed processing of large data sets across clusters of computers.
The assessment includes work-sample tasks such as:
- Using RDD Operations to create transformations and actions.
- Configuring and deploying Spark Multi-Node Clusters.
- Monitoring and tuning performance.
A good Spark developer or administrator should be familiar with Spark infrastructure, its configuration, and know how to use transformations and execute actions on data sets.
Sample public questions
To analyze live streaming gameplay data of an online game, a new Spark based application is developed. But, deploying and running the application on a cluster with 1 driver and 3 worker nodes is throwing the "Initial job has not accepted any resources" error.
Which options are potential explanations for the error?
Mapper, a GPS based map program uses Spark at its backend to find all specified locations within a given distance 'd' from user's current location. The program works on an RDD named coordinateRDD which contains GPS locations of a searched location type, for example 'restaurants'.
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Skills and topics tested
- Apache Spark
- Performance Tuning
- RDD Operations
- Resilient Distributed Dataset
- Closures
- Spark Accumulators
- Spark Broadcast Variables
For job roles
- Big Data Engineer
- Spark Administrator
- Spark Developer
- Spark Tester
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