Top AWS EMR Interview Questions (2024) | TechGeekNext

Top AWS EMR Interview Questions (2024)

  1. What is AWS EMR?
  2. What is the AWS EMR step?
  3. What is the main use of EMR in AWS?
  4. How many EMR clusters can be run simultaneously?
  5. What is the difference between EC2 and EMR in AWS?
  6. Where does EMR run?
  7. What is a cluster in AWS EMR?
  8. Does EMR make use of yarn?
  9. How do you execute several steps in EMR?
  10. What is Ganglia in EMR?

Q: What is AWS EMR?

Amazon EMR (earlier known as Amazon Elastic MapReduce) is a managed cluster platform that makes it easier to run big data frameworks like Apache Hadoop and Apache Spark on AWS to process and analyze massive volumes of data.

Q: What is the AWS EMR step?

Each EMR step is a unit of work that includes instructions for manipulating data for processing by software deployed on the cluster, like Apache Spark, Hive, or Presto.

Q: What is the main use of EMR in AWS?

Amazon EMR can be used for log analysis, web indexing, data warehousing, machine learning (ML), financial analysis, scientific simulation, and bioinformatics data processing.

Q: How many EMR clusters can be run simultaneously?

Users may begin as many clusters as they wish. Users are limited to 20 instances across all of the clusters when we first start.

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Q: What is the difference between EC2 and EMR in AWS?

Amazon EC2 is a cloud-based service that provides users with access to a diverse set of compute instances or virtual machines. Whereas Amazon EMR is a managed big data service that offers pre-configured Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto compute clusters.

Q: Where does EMR run?

Amazon Elastic MapReduce (EMR), on the other hand, is an analytics-focused cloud service that runs on top of EC2 instances. It has the Hadoop stack pre-installed. Users can also choose to add services like Spark, Presto, Hive, and more as required, depending on the type of analytics needed.

Q: What is a cluster in AWS EMR?

The cluster is the primary component of Amazon EMR. A cluster is a group of Amazon Elastic Compute Cloud (Amazon EC2) instances. Each instance in the cluster is referred to as a node. The responsibility of each node inside the cluster is referred to as the node type.

Q: Does EMR make use of yarn?

Yes, Amazon EMR makes use of YARN (Yet Another Resource Negotiator) by default.

Q: How do you execute several steps in EMR?

Users may utilize YARN scheduling capabilities like FairScheduler (queueMaxAppsDefault setting) or CapacityScheduler to achieve complicated scheduling and resource management of concurrent tasks.

Q: What is Ganglia in EMR?

Ganglia gives a web-based user interface that allows us to see the metrics that Ganglia has captured. The web interface runs on the master node once we run Ganglia on Amazon EMR, and it can be browsed through port forwarding (SSH tunnel).

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