Apache Spark Online Test
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About the test
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
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'.
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?
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Skills and topics tested
- Apache Spark
- RDD Operations
- Resilient Distributed Dataset
- Closures
- Spark Accumulators
- Spark Broadcast Variables
- Performance Tuning
For job roles
- Big Data Engineer
- Spark Administrator
- Spark Developer
- Spark Tester
Sample candidate report
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AI-video analysis
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Screen proctoring
Screen recording detects AI tools (ChatGPT, Gemini, etc.), screenshot/snipping tools, OCR tools, DevTools usage, etc.
Webcam proctoring
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AI-resistant questions
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Block hidden AI assistants
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Duplicate attempts detection
Detects test retaking from the same IP address or the same browser.
Code interviews
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with video, chat, and collaborative code editing.
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