Amazon Web Services CLF-C02 Based on Real Exam Environment

AWS Glue is a serverless data integration service designed to discover, prepare, move, and integrate data from multiple sources for data analytics and machine learning purposes. It provides a managed ETL (Extract, Transform, Load) service that is ideal for preparing and transforming data for analytics. AWS Data Exchange is used for finding and subscribing to third-party data, Amazon Athena is for querying data stored in Amazon S3 using SQL, and Amazon EMR is for big data processing using Apache Hadoop and Spark, but AWS Glue is specifically designed for data integration and preparation tasks.

The AWS Support plan that provides the full set of AWS Trusted Advisor checks at the lowest cost is theAWS Business Supportplan. The AWS Business Support plan includes access to the complete set of Trusted Advisor checks, which cover areas such as cost optimization, security, performance, fault tolerance, and service limits. This plan is specifically designed to support production workloads and includes 24/7 access to cloud support engineers, response times for impaired systems, and other enhanced technical support features.

AWS Developer Support, while more affordable, only provides limited Trusted Advisor checks, specifically around Service Limits and basic Security checks. Full access to all Trusted Advisor checks is only available with Business Support and higher-tier plans, such as Enterprise On-Ramp and Enterprise Support

Amazon DynamoDBis a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is designed to handle unstructured data, offers high durability, and provides easy querying capabilities using key-value or document data models, making it suitable for applications that continuously produce unstructured data.

Why other options are not suitable:

A. Amazon RDS: A relational database service that is more suited for structured data and SQL queries.

B. Amazon Aurora: A MySQL- and PostgreSQL-compatible relational database, also more suited for structured data.

C. Amazon QuickSight: A business intelligence service for data visualization, not for storing data.

 Elasticity in the AWS Cloud refers to the ability to acquire resources as you need them and release resources when you no longer need them. In the cloud, you want to do this automatically1. This means that you can rightsized resources as demand shifts, and you can easily procure resources when they are needed. Elasticity is not related to how quickly an Amazon EC2 instance can be restarted, the maximum amount of RAM an Amazon EC2 instance can use, or the pay-as-you-go billing model. These are aspects of scalability, performance, and cost, respectively2.

For more information on elasticity, you can refer to the following sources:

Elasticity - AWS Well-Architected Framework

Elastic - Reactive Systems on AWS

What is the difference between scalability and elasticity?