Amazon Web Services CLF-C02 - AWS Certified Cloud Practitioner

Amazon Machine Image (AMI) is the option that the company can use during the launch process to configure the root volume of the EC2 instance. An AMI is a template that contains the software configuration, such as the operating system, applications, and settings, required to launch an EC2 instance. An AMI also specifies the volume size and type of the root device for the instance. Thecompany can choose an AMI provided by AWS, the AWS Marketplace, or the AWS community, or create a custom AMI. For more information, see [Amazon Machine Images (AMI)] and [Launching an Instance Using the Launch Instance Wizard].

 The correct answer is B because AWS Cloud9 is an AWS service that enables users to run their existing custom, nonproduction workloads in the AWS Cloud quickly and cost-effectively. AWS Cloud9 is a cloud-based integrated development environment (IDE) that allows users to write, run, and debug code from a web browser. AWS Cloud9 supports multiple programming languages, such as Python, Java, Node.js, and more. AWS Cloud9 also provides users with a terminal that can access AWS services and resources, such as Amazon EC2 instances, AWS Lambda functions, and AWS CloudFormation stacks. The other options are incorrect because they are not AWS services that enable users to run their existing custom, nonproduction workloads in the AWS Cloud quickly and cost-effectively. AWS CodeBuild is an AWS service that enables users to compile, test, and package their code for deployment. AWS OpsWorks is an AWS service that enables users to configure and manage their applications using Chef or Puppet. AWS Cloud Development Kit (AWS CDK) is an AWS service that enables users to define and provision their cloud infrastructure using familiar programming languages, such as TypeScript, Python, Java, and C#. Reference: AWS Cloud9 FAQs

Rightsizing all the EC2 instances that are used in the deployment is the best way to run the workload in the most cost-effective way. Rightsizing means choosing the optimal instance type and size for the workload based on the performance and capacity requirements. Rightsizing helps to avoid over-provisioning or under-provisioning of the EC2 instances, which can result in wasted resources or poor performance. Rightsizing also helps to take advantage of the different pricing models and features that AWS offers, such as On-Demand, Reserved, and Spot Instances, and Auto Scaling. For more information, see Rightsizing Your Instances and [Cost Optimization with AWS].

Designing for automatic failover to healthy resources is an AWS best practice when designing AWS workloads to be operational even when there are component failures. This means that you should architect your system to handle the loss of one or more components without impacting the availability or performance of your application. You can use various AWS services and features to achieve this, such as Auto Scaling, Elastic Load Balancing, Amazon Route 53, Amazon CloudFormation, and AWS CloudFormation4.

 The AWS services or features that can control VPC traffic are security groups and network ACLs. Security groups are stateful firewalls that control the inbound and outbound traffic at the instance level. You can assign one or more security groups to each instance in a VPC, and specify the rules that allow or deny traffic based on the protocol, port, and source or destination. Network ACLs are stateless firewalls that control the inbound and outbound traffic at the subnet level. You can associate one network ACL with each subnet in a VPC, and specify the rules that allow or deny traffic based on the protocol, port, and source or destination. AWS Direct Connect, Amazon GuardDuty, and Amazon Connect are not services or features that can control VPC traffic. AWS Direct Connect is a service that establishes a dedicated network connection between your premises and AWS. Amazon GuardDuty is a service that monitors your AWS account and workloads for malicious or unauthorized activity. Amazon Connect is a service that provides a cloud-based contact center solution.

 The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability. Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12

 The correct answer is B because AWS CloudTrail is an AWS service that a cloud engineer can use to view API calls to AWS services. AWS CloudTrail is a service that enables customers to track user activity and API usage across their AWS account. AWS CloudTrail records the details of every API call made to AWS services, such as the identity of the caller, the time of the call, the source IP address of the caller, the parameters and responses of the call, and more. Customers can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not AWS services that a cloud engineer can use to view API calls to AWS services. Amazon CloudWatch is an AWS service that enables customers to collect, analyze, and visualize metrics, logs, and events from their AWS resources and applications. AWS Config is an AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Artifact is an AWS service that provides customers with on-demand access to AWS compliance reports and select online agreements. Reference: AWS CloudTrail FAQs

 According to the AWS shared responsibility model, the customer is responsible for configuring logical access controls for resources, and protecting account credentials. This includes managing IAM user permissions, security group rules, network ACLs, encryption keys, and other aspects of access management1. AWS is responsible for protecting the global infrastructure that runs all of the services offered in the AWS Cloud, such as the hardware, software, networking, and facilities. AWS isalso responsible for configuring the security used by managed services, such as Amazon RDS, Amazon DynamoDB, and Amazon Aurora2.

AWS Control Tower uses AWS CloudFormation to create resources in your landing zone. AWS CloudFormation is a service that helps you model and set up your AWS resources using templates. AWS Control Tower supports creating AWS::ControlTower::EnabledControl resources in AWS CloudFormation. Therefore, the correct answer is A. You can learn more about AWS Control Tower and AWS CloudFormation

 Amazon EventBridge is the service that meets the requirements of building a serverless architecture that connects application data from multiple data sources without requiring additional code. Amazon EventBridge is a serverless event bus service that allows you to easily connect your applications with data from AWS services, SaaS applications, and your own applications. You can use Amazon EventBridge to create rules that match events and route them to targets such as AWS Lambda functions, Amazon SNS topics, Amazon SQS queues, or other AWS services. Amazon EventBridge handles the event ingestion, delivery, security, authorization, and error handling for you34

AWS Transit Gatewayis a network transit hub that customers can use to connect their Amazon VPCs and on-premises networks to a central hub. This service simplifies network management and reduces operational overhead by enabling a single gateway for managing multiple network connections. It facilitates seamless integration and routing between VPCs and on-premises networks.

A. Virtual private gateway: Incorrect, as it is used to connect a single VPC to an on-premises network through a VPN connection.

C. Internet gateway: Incorrect, as it provides internet access for instances in a VPC but does not connect multiple networks.

D. Customer gateway: Incorrect, as it represents the on-premises device or software application that connects to AWS, but it does not provide a central hub.

AWS Cloud References:

AWS Transit Gateway

 One of the advantages of AWS Cloud computing is that it minimizes variable costs by leveraging economies of scale. This means that AWS can achieve lower costs per unit of computing resources by spreading the fixed costs of building and maintaining data centers over a large number of customers. As a result, AWS can offer lower and more predictable prices to its customers, who only pay for the resources they consume. Therefore, the correct answer is B. You can learn more about AWS pricing and economies of scale

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while customers are responsible for the security in the cloud. This means that AWS is responsible for the physical servers, networking, and operating system that run Lambdafunctions, while customers are responsible for the security of their code and AWS IAM to the Lambda service and within their function1. Customers need to manage the code within the Lambda function, such as writing, testing, debugging, deploying, and updating the code, as well as ensuring that the code does not contain any vulnerabilities or malicious code that could compromise the security or performance of the function23. References: 2: AWS Lambda - Amazon Web Services (AWS), 3: AWS Lambda Documentation, 1: Amazon CLF-C02: What is customer responsibility under AWS … - PUPUWEB

TheAWS Pricing Calculatoris a web-based tool that allows customers to estimate their monthly AWS costs by configuring and projecting the costs of different AWS services. The calculator is specifically designed to help customers plan their AWS spending based on their specific architecture and usage patterns. The other options are not correct because:

B. Calculate historical AWS costs: This is incorrect as the AWS Pricing Calculator does not track or calculate historical costs. For historical costs, AWS Cost Explorer is used.

C. Provide in-depth information about AWS pricing strategies: While the AWS Pricing Calculator provides cost estimations, it does not provide detailed insights into AWS pricing strategies.

D. Provide users with access to their monthly bills: This is incorrect; AWS Billing and Cost Management provides access to actual billing information.

AWS Cloud References:

AWS Pricing Calculator

Amazon RDS (Relational Database Service)is a managed database service that simplifies the setup, operation, and scaling of relational databases in the AWS Cloud. It supports several SQL-based databases, such as MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB, while automating common administrative tasks such as backups, patch management, and scaling. This significantly reduces the operational overhead compared to managing databases on Amazon EC2 instances, which would require manual management of the operating system, database software, backups, and maintenance.

A. Amazon EC2 instances: Incorrect, as this would involve more operational overhead, including manual management of the database server.

C. Amazon DynamoDB: Incorrect, as it is a NoSQL database service, not suitable for migrating SQL-based databases.

D. OpenSearch: Incorrect, as it is used for search and analytics workloads, not for hosting SQL-based databases.

AWS Cloud References:

Amazon RDS

An IAM credential report is a feature of AWS Identity and Access Management (IAM) that allows you to view and download a report that lists all IAM users in your account and the status of their various credentials, such as passwords, access keys, and MFA devices. You can use this reportto audit the security status of your IAM users and ensure that they follow the best practices for credential management1. References: 1: AWS Documentation - IAM User Guide - Getting credential reports for your AWS account

The ability to scale resources up and down based on application load is tied to the advantage of "Stop guessing capacity." This feature allows users to scale resources automatically to match the demand, thereby avoiding over-provisioning or under-provisioning of resources. "Go global in minutes," "Benefit from massive economies of scale," and "Trade fixed expense for variable expense" are other advantages of cloud computing, but they do not specifically address scaling resources up and down based on load.

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. You can start small with no commitments, and scale to petabytes for less than a tenth of the cost of traditional solutions. Amazon Redshift does not require manual hardware and software management, as AWS handles all the tasks such as provisioning, patching, backup, recovery, failure detection, and repair12. Amazon Redshift also offers serverless capabilities, which allow you to access and analyze data without any configurations or capacity planning. Amazon Redshift automatically scales the data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads3. Therefore, Amazon Redshift meets the requirements of the company, compared to the other options.

The other options are not suitable for the company’s requirements, because:

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. It is not designed for petabyte-scale data warehousing or analytics4.

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It is not designed for petabyte-scale data warehousing or analytics5.

Amazon ElastiCache is a fully managed in-memory data store and cache service that supports Redis and Memcached. It is not designed for petabyte-scale data warehousing or analytics.

What is Amazon Redshift? - Amazon Redshift

Amazon Redshift Features - Amazon Redshift

Amazon Redshift Serverless - Amazon Redshift

What Is Amazon DocumentDB (with MongoDB compatibility)? - Amazon DocumentDB (with MongoDB compatibility)

What Is Amazon Neptune? - Amazon Neptune

[What Is Amazon ElastiCache for Redis? - Amazon ElastiCache for Redis]

AWS Direct Connect is an AWS service that allows users to establish a dedicated network connection between their on-premises data center and the AWS Cloud. This connection bypasses the public internet and provides more predictable network performance, reduced bandwidth costs, and increased security. Users can choose from different port speeds and connection types, and use AWS Direct Connect to access AWS services in any AWS Region globally. Users can also use AWS Direct Connect in conjunction with AWS VPN to create a hybrid network architecture that combines the benefits of both private and public connectivity. References: AWS Direct Connect, [AWS Cloud Practitioner Essentials: Module 3 - Compute in the Cloud]

The People perspective in the AWS Cloud Adoption Framework (AWS CAF) serves as a bridge between technology and business, accelerating the cloud journey to help organizations more rapidly evolve to a culture of continuous growth, learning, and where change becomes business-as-normal, with focus on culture, organizational structure, leadership, and workforce1. References: People Perspective - AWS Cloud Adoption Framework