CLF-C02 Exam Dumps - AWS Certified Cloud Practitioner

AWS Cost Explorer is the AWS service or tool that helps users visualize, understand, and manage spending and usage over time. AWS Cost Explorer is a web-based interface that allows users to access interactive graphs and tables that display their AWS costs and usage data. Users can create custom reports that analyze cost and usage data by various dimensions, such as service, region, account, tag, and more. Users can also view historical data for up to the last 12 months, forecast future costs for up to the next 12 months, and get recommendations for cost optimization. AWS Cost Explorer also provides preconfigured views that show common cost and usage scenarios, such as monthly spend by service, daily spend by linked account, and Reserved Instance utilization. Users can use AWS Cost Explorer to monitor their AWS spending and usage trends, identify cost drivers and anomalies, and optimize their resource allocation and budget planning. References: Cloud Cost Analysis - AWS Cost Explorer - AWS, Analyzing your costs with AWS Cost Explorer

The approach that will achieve the goal of designing a reliable web application that is hosted on Amazon EC2 is to spread EC2 instances across more than one Availability Zone. An Availability Zone is a physically isolated location within an AWS Region that has its own power, cooling, and network connectivity. By spreading EC2 instances across multiple Availability Zones, users can increase the fault tolerance and availability of their web applications, as well as reduce latency for end users2. Launching large EC2 instances in the same Availability Zone, spreading EC2 instances across more than one security group, or using an Amazon Machine Image (AMI) from AWS Marketplace are not sufficient to ensure reliability, as they do not provide redundancy or resilience in case of an outage in one Availability Zone.

The AWS service that the company should use to meet these requirements is A. AWS Snowmobile.

AWS Snowmobile is a service that allows you to migrate large amounts of data to AWS using a 45-foot long ruggedized shipping container that can store up to 100 petabytes of data. AWS Snowmobile is designed for situations where you need to move massive amounts of data to the cloud in a fast, secure, and cost-effective way. AWS Snowmobile has the least possible operational overhead because it eliminates the need to buy, configure, or manage hundreds or thousands of storage devices12.

AWS Snowball Edge is a service that allows you to migrate data to AWS using a physical device that can store up to 80 terabytes of data and has compute and storage capabilities to run applications on the device. AWS Snowball Edge is suitable for situations where you have limited or intermittent network connectivity, or where bandwidth costs are high. However, AWS Snowball Edge has more operational overhead than AWS Snowmobile because you need to request multiple devices and transfer your data onto them using the client3.

AWS Data Exchange is a service that allows you to find, subscribe to, and use third-party data in the cloud. AWS Data Exchange is not a data migration service, but rather a data marketplace that enables data providers and data consumers to exchange data sets securely and efficiently4.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS. AWS DMS does not migrate file storage data, but rather supports various database platforms and engines as sources and targets5.

References:

1: AWS Snowmobile – Move Exabytes of Data to the Cloud in Weeks 2: AWS Snowmobile - Amazon Web Services 3: Automated Software Vulnerability Management - Amazon Inspector - AWS 4: AWS Data Exchange - Find, subscribe to, and use third-party data in … 5: AWS Database Migration Service – Amazon Web Services

Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk. You can use Amazon Kinesis Data Firehose to capture, transform, and load streaming data from multiple sources, such as web applications, mobile devices, IoT sensors, and social media.

Agility in AWS Cloud computing means the ability to rapidly provision and deprovision AWS resources as needed, and the ability to experiment quickly with new ideas and solutions. Agility helps businesses to respond to changing customer demands, market opportunities, and competitive threats, and to innovate faster and cheaper. Agility also reduces the risk of failure, as businesses can test and validate their assumptions before committing to large-scale deployments. Some of the benefits of agility in AWS Cloud computing are:

The speed at which AWS resources are implemented: AWS provides a variety of services and tools that allow you to create, configure, and launch AWS resources in minutes, using the AWS Management Console, the AWS Command Line Interface (AWS CLI), the AWS Software Development Kits (AWS SDKs), or the AWS CloudFormation templates. You can also use the AWS Cloud Development Kit (AWS CDK) to define your AWS resources as code using familiar programming languages, and synthesize them into AWS CloudFormation templates. You can also use the AWS Service Catalog to create and manage standardized portfolios of AWS resources that meet your organizational policies and best practices. AWS also offers on-demand, pay-as-you-go pricing models, so you only pay for the resources you use, and you can scale them up or down as your needs change12345

The ability to experiment quickly: AWS enables you to experiment quickly with new ideas and solutions, without having to invest in upfront capital or long-term commitments. You can use AWS to create and test multiple prototypes, hypotheses, and minimum viable products (MVPs) in parallel, and measure their performance and feedback. You can also use AWS to leverage existing services and solutions, such as AWS Marketplace, AWS Solutions, and AWS Quick Starts, that can help you accelerate your innovation process. AWS also supports a culture of experimentation and learning, by providing tools and resources for continuous integration and delivery (CI/CD), testing, monitoring, and analytics.

References: Six advantages of cloud computing - Overview of Amazon Web Services, AWS Cloud Development Kit (AWS CDK), AWS Service Catalog, AWS Pricing, AWS CloudFormation, [Experimentation and Testing - AWS Well-Architected Framework], [AWS Marketplace], [AWS Solutions], [AWS Quick Starts], [AWS Developer Tools]

VPC peering and AWS Transit Gateway are two AWS services or features that give users the ability to create a network connection between two VPCs. VPC peering is a networking connection between two VPCs that enables you to route traffic between them privately. You can create a VPC peering connection between your own VPCs, with a VPC in another AWS account, or with a VPC in a different AWS Region. Traffic between peered VPCs never traverses the public internet. VPC peering does not support transitive peering relationships, which means that if VPC A is peered with VPC B, and VPC B is peered with VPC C, then VPC A and VPC C are not automatically peered789. AWS Transit Gateway is a networking service that acts as a regional router for your VPCs and on-premises networks. You can attach up to 5,000 VPCs and VPN connections to a single transit gateway and route traffic between them. AWS Transit Gateway simplifies the management and scalability of your network architecture, as you only need to create and manage a single connection from the central transit gateway to each connected network. AWS Transit Gateway supports transitive routing, which means that any network that is attached to the transit gateway can communicate with any other network that is attached to the same transit gateway . References: 7: VPC peering - Amazon Virtual Private Cloud, 8: Connect VPCs using VPC peering - Amazon Virtual Private Cloud, 9: Amazon VPC-to-Amazon VPC connectivity options - Amazon Virtual Private Cloud, : [AWS Transit Gateway - Amazon Web Services], : [Connect VPCs using AWS Transit Gateway - Amazon Virtual Private Cloud], : [AWS Transit Gateway: Simplify Your Network Architecture]

The AWS services that are supported by Savings Plans are:

Amazon EC2: Amazon EC2 is a service that provides scalable computing capacity in the AWS cloud. You can use Amazon EC2 to launch virtual servers, configure security and networking, and manage storage. Amazon EC2 is eligible for both Compute Savings Plans and EC2 Instance Savings Plans12.

Amazon SageMaker: Amazon SageMaker is a service that helps you build and deploy machine learning models. You can use Amazon SageMaker to access Jupyter notebooks, use common machine learning algorithms, train and tune models, and deploy them to a hosted environment. Amazon SageMaker is eligible for SageMaker Savings Plans13.

The other options are not supported by Savings Plans. Amazon RDS, Amazon Redshift, and Amazon DynamoDB are database services that are eligible for Reserved Instances, but not Savings Plans4.

EC2 Instance Savings Plans are a flexible pricing model that offer discounted hourly rates on Amazon EC2 instance usage for a 1 or 3 year term. EC2 Instance Savings Plans provide savings up to 72% off On-Demand rates, in exchange for a commitment to a specific instance family in a chosen AWS Region (for example, M5 in Virginia). These plans automatically apply to usage regardless of size (for example, m5.xlarge, m5.2xlarge, etc.), OS (for example, Windows, Linux, etc.), and tenancy (Host, Dedicated, Default) within the specified family in a Region. With an EC2 Instance Savings Plan, you can change your instance size within the instance family (for example, from c5.xlarge to c5.2xlarge) or the operating system (for example, from Windows to Linux), or move from Dedicated tenancy to Default and continue to receive the discounted rate provided by your EC2 Instance Savings Plan4567. References: 4: Compute Savings Plans – Amazon Web Services, 5: What are Savings Plans? - Savings Plans, 6: How To Cut Your AWS Bill With Savings Plans (and avoid some common …, 7: AWS Savings Plans vs Reserved Instances - GorillaStack