AWS Solutions Architect Associate Practice Test

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What is the service for Big Data processing on AWS commonly referred to as?

  1. AWS "Elastic Big Data"

  2. AWS Data Pipeline

  3. AWS Big Data Services

  4. AWS Elastic MapReduce

The correct answer is: AWS Elastic MapReduce

The correct answer is AWS Elastic MapReduce (EMR). This service is specifically designed for processing large amounts of data using open-source frameworks such as Apache Hadoop, Apache Spark, and others. AWS EMR simplifies the process of setting up, managing, and scaling big data processing frameworks. EMR allows users to efficiently analyze massive datasets and provides flexibility in terms of configuring clusters (with various instance types) according to their processing needs. It also integrates well with other AWS services, such as Amazon S3 for storage and AWS Lambda for serverless computing, making it an attractive choice for big data processing tasks. The other options do not refer to a singular, specific service designed for big data processing. For instance, while AWS Data Pipeline is a service that helps automate the movement and transformation of data, it is not tailored explicitly for big data frameworks like EMR. Additionally, the terms "Elastic Big Data" and "Big Data Services" are not official AWS service names, which can cause confusion about what specific offerings AWS provides for big data analytics.