AWS Certified Data Analytics Specialty 2021 – Hands-On - Instance Types for Big Data

The video tutorial explains various instance types and their specific uses. It covers general purpose, compute optimized, memory optimized, accelerated computing, and storage optimized instances. Each type is associated with specific tasks such as web servers, batch processing, high-performance databases, machine learning, and data storage. The tutorial also provides examples of applications like Spark and TensorFlow, helping learners understand which instance type to choose for different computational needs.

Which instance type family is typically used for general-purpose tasks?

• TRM family

• C family

• P family

• H family

What is the primary use of compute-optimized instances?

• Distributed file systems

• In-memory databases

• Batch processing and analytics

• Web hosting

When should you consider using memory-optimized instances?

• For batch processing

• For GPU-intensive tasks

• For high-performance databases

• For distributed file systems

Which instance types are best suited for machine learning tasks requiring GPUs?

• H1 and I3

• P2 and G3

• C4 and C5

• T2 and T3

What type of instance is recommended for applications like Apache Kafka and Redshift?

• Accelerated computing

• Compute optimized

• Memory optimized

• Storage optimized