AWS Certified Foundational CLF-C02 Syllabus Exam Questions Answers

Reserved Instances and Savings Plans are the most cost-effective purchasing options for a compute workload that is steady, predictable, and uninterruptible. Reserved Instances provide a significant discount compared to On-Demand Instances, and Savings Plans offer flexible and consistent savings on EC2 usage. Both options require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. On-Demand Instances are suitable for short-term, irregular, or unpredictable workloads, but they are more expensive than Reserved Instances or Savings Plans. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. Dedicated Hosts and Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware. References: Instance purchasing options, Amazon EC2 Pricing, 4 Ways to Purchase Amazon EC2 Instances

AWS Fargateis a serverless compute engine for containers that allows users to run containers without having to manage the underlying infrastructure. Fargate eliminates the need for managing servers and reduces operational overhead, providing a fully managed, serverless approach to containerized applications. It helps avoid unplanned administration and operational costs and is ideal for companies migrating from on-premises container infrastructure.

Why other options are not suitable:

A. Amazon Connect: A service for cloud-based contact centers, not for container management.

C. Amazon Lightsail: Simplifies virtual private server (VPS) management but is not serverless or specialized for containers.

D. Amazon EC2: Provides virtual servers but requires more manual administration and is not serverless.

Amazon Elastic File System (Amazon EFS) is a fully managed, scalable, and serverless NFS (Network File System) file system specifically designed for use with AWS services and on-premises resources. It enables companies to create and configure file systems that can be accessed from multiple Amazon EC2instances simultaneously, making it ideal for use cases that require shared file storage for AWS compute services.

Why Amazon EFS Fits the Requirements:

Managed Service: Amazon EFS is a fully managed file storage service that simplifies the process of setting up and managing NFS file systems.

Scalability and Elasticity: EFS automatically scales to accommodate the storage needs of applications, without the need to provision or manage storage capacity.

NFS Compatibility: Amazon EFS natively supports the NFSv4 protocol, making it compatible with a wide range of applications and workloads that require NFS access.

Integration with AWS Compute Services: EFS integrates seamlessly with Amazon EC2 and other AWS services, providing a shared file storage solution across multiple instances and services within the AWS cloud environment.

Why Other Options Do Not Fit:

A. Amazon Elastic Block Store (Amazon EBS): While EBS provides block-level storage that can be attached to individual EC2 instances, it is not a file system, nor does it provide managed NFS file storage capabilities. EBS is designed for single-instance access rather than shared file access across multiple instances.

B. AWS Storage Gateway Tape Gateway: Tape Gateway is designed for archival purposes and allows companies to store virtual tape backups in Amazon S3 or Glacier. It does not support NFS file storage and is not intended for regular compute access.

C. Amazon S3 Glacier Flexible Retrieval: Amazon S3 Glacier is optimized for data archiving and long-term storage of infrequently accessed data, but it does not provide NFS file system capabilities, nor is it suitable for high-performance access needs associated with compute services.

For more details, you can refer to theAWS Cloud Practitioner Essentialscontent, specifically the modules onStorage Serviceswhere Amazon EFS is covered as the managed NFS file storage solution offered by AWS.

Amazon SageMakeris a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. It offers integrated Jupyter notebooks for data exploration, pre-built algorithms, and automatic model tuning to optimize hyperparameters.

Why other options are not suitable:

A. Amazon Personalize: A managed machine learning service that provides personalized recommendations, but does not offer the full suite of ML tools for building, training, and deploying models.

B. Amazon Comprehend: A natural language processing (NLP) service, not a general-purpose ML model building and deployment service.

C. Amazon Forecast: A managed service specifically for creating accurate forecasts using machine learning, not for general-purpose ML model development.