AWS Certified Advanced Networking Specialty Practice Exam

What should your big data team do to increase Amazon S3 ingest rates while using c4.8xl instances?

1. Upgrade to a c5 instance type

2. Split the data ingest on more than one instance

3. Increase the size of the S3 bucket

4. Use Amazon S3 Transfer Acceleration

The correct answer is: Split the data ingest on more than one instance

To effectively increase Amazon S3 ingest rates while utilizing c4.8xlarge instances, distributing the data ingest workload across multiple instances is a strategic approach. By splitting the data ingestion among multiple instances, you can leverage parallel processing, which significantly boosts throughput. Each instance can independently upload data to S3 concurrently, resulting in a multiplicative effect on the total data transfer rate compared to using a single instance. The reason for this is rooted in how data transfer works in cloud environments. S3 can handle multiple concurrent uploads from different sources, allowing for better utilization of available bandwidth. As a result, this method leads to improved performance, especially when dealing with large volumes of data. The other options, while they may seem beneficial, do not directly address the primary challenge of increasing ingest rates in this manner. Upgrading to a c5 instance type might offer better performance characteristics; however, it may not necessarily solve the ingest rate problem unless combined with scaling the workload across instances. Simply increasing the size of the S3 bucket does not influence performance since the bucket size impacts storage capacity, not the speed of data transfer. Lastly, using Amazon S3 Transfer Acceleration can indeed improve transfer speeds, but this option specifically relates to the speeding up of the upload process