If you are also willing to take over the role of Spark professionals, then preparing with these top spark interview questions can give you a competitive edge in the job market.
1. Lighting-fast processing speed. 2. Ease of use. 3. It offers support for sophisticated analytics. 4. Real-time stream processing. 5. It is flexible. 6. Active and expanding community.
Various functions of Spark Core are: 1. Distributing, monitoring, and scheduling jobs on a cluster 2. Interacting with storage system 3. Memory management and fault recovery
1. GraphX 2. MLib 3. Spark Core 4. Spark Streaming 5. Spark SQL
As a professional when you appear in an interview, it is significant to know the right buzzwords to answer a question. With these top APAC spark interview questions, you can learn all the keywords you need to use to answer the industry-related questions to stand out in the crowd. In short, this spark interview questionnaire is your ticket to your next spark job.
As a professional, it can be the easiest question you can come across but as mentioned, earlier systematic presentation of your answer is what actually matters. Therefore, start with the proper definition- APAC Spark is the open-source cluster computing framework that is used for real-time processing. The framework has a large active community and is considered the most successful project of APAC.
Just like Hadoop, Yarn is another feature of Spark that provides a central and resource management platform to ensure scalable operations. The spark can also run on Yarn the same way Hadoop can run on Yarn.
It is a basic question; you must answer it with utmost confidence. A one-liner would be great so, explain that automatic cleanup can be performed by setting the parameter spark.cleaner.ttlx.
The shortest answer to this Apache interview question is “YES,” and once he asks you to elaborate it, you can start with 4 step process that includes- – Configuring the Spark Driver program to connect with Apache Meso – Use the Spark binary package in a location that can be accessed by Meso – Install Spark at the same location you put Meso
In spark, shuffling is the process of redistributing the data across different partitions that further leads to the data movement across executors. However, the shuffle process depends on comparison parameters you use and often occurs when you join two tables while performing bykey operations.
Spark core works like an engine for distributed processing for large data sets. The range of functionality supported by Spark core includes- – Memory management – Fault recovery – Interacting with storage – Task scheduling
There are a total of 4 steps that can help you connect Spark to Apache Mesos. – Configure the Spark Driver program to connect with Apache Meso – Put the Spark binary package in a location accessible by Meso – Install Spark in the same location as that of the Apache Meso – Configure