CLF-C02 Cloud Technology and Services Practice Question
Which AWS service provides a fully managed environment to run Apache Spark, Hadoop, and other big data frameworks for data processing and analytics?
⚠ Common exam trap
Many candidates confuse AWS Glue (which uses Spark for ETL) with a general-purpose Spark/Hadoop platform, but Glue is a serverless ETL service with limited customization, whereas EMR provides full control over cluster configuration, libraries, and frameworks.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon EMR
Amazon EMR (Elastic MapReduce) is the correct answer because it is a fully managed big data platform that natively supports Apache Spark, Hadoop, Hive, Presto, and other distributed processing frameworks. It automatically provisions EC2 instances, configures the cluster, and handles scaling, patching, and monitoring, allowing you to run large-scale data processing and analytics workloads without manual infrastructure management.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Redshift
Why it's wrong here
Amazon Redshift is a fully managed petabyte-scale data warehouse that uses a massively parallel processing (MPP) architecture and its own proprietary query engine for SQL-based analytics and business intelligence. It does not run open-source big data frameworks like Spark or Hadoop, nor does it allow you to install custom frameworks on a cluster. Redshift is optimized for high-performance queries over structured, tabular data, making it the wrong tool for general-purpose big data processing.
- ✗
Amazon Athena
Why it's wrong here
Amazon Athena is a serverless interactive query service that lets you run SQL directly against data stored in Amazon S3, using Presto/Trino underneath. You pay per query and there is no infrastructure to provision or manage, but it does not offer a managed cluster environment where you can run Spark or Hadoop applications. Athena is designed for ad-hoc analysis and serverless SQL, not for executing custom big data frameworks on a dedicated cluster.
- ✓
Amazon EMR
Why this is correct
Amazon EMR (Elastic MapReduce) is the correct service because it provides managed clusters of EC2 instances pre-configured with Apache Spark, Hadoop, Presto, HBase, and other big data frameworks. EMR handles cluster provisioning, configuration, auto-scaling, and monitoring, letting you focus on writing data processing logic rather than managing infrastructure. It supports both transient clusters for occasional jobs and long-running clusters for continuous workloads, and integrates tightly with S3, DynamoDB, and other AWS services. This makes it ideal for running open-source big data frameworks at scale.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a serverless extract-transform-load (ETL) service that uses an Apache Spark under the hood to run data preparation jobs and populate the Glue Data Catalog. However, it does not provide a general-purpose managed big data cluster: you cannot launch a persistent cluster, install additional frameworks, or interactively run arbitrary Spark or Hadoop workloads. Glue is purpose-built for scheduled, scripted data transformation pipelines, not for open-ended big data processing.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CLF-C02 exam.