Pass the Amazon Web Services AWS Certified Foundational CLF-C02 Questions and answers with Dumpstech

AWS Application Discovery Service is a service that helps you plan your migration to the AWS Cloud by collecting usage and configuration data about your on-premises servers and databases. This data includes information such as the hostname, IP address, and MAC address of each server, as well as the performance metrics, network connections, and processes running on them. You can use AWS Application Discovery Service to discover your on-premises inventory, map the dependencies between servers and applications, and estimate the cost and effort of migrating to AWS. You can also export the data to other AWS services, such as AWS Migration Hub and AWS Database Migration Service, to support your migration tasks. AWS Application Discovery Service offers two ways of performing discovery: agentless discovery and agent-based discovery. Agentless discovery uses a virtual appliance that you deploy on your VMware vCenter to collect data from your virtual machines and hosts. Agent-based discovery uses an agent that you install on each of your physical or virtual servers to collect data. You can choose the method that best suits your environment and needs. AWS DataSync is a service that helps you transfer data between your on-premises storage and AWS storage services, such as Amazon S3, Amazon EFS, and Amazon FSx for Windows File Server. AWS DataSync does not collect information about your on-premises infrastructure, but rather focuses on optimizing the data transfer speed, security, and reliability. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. AWS Application Migration Service does not collect information about your on-premises infrastructure, but rather uses a lightweight agent to replicate your servers as Amazon Machine Images (AMIs) and launch them as EC2 instances on AWS. AWS Database Migration Service is a service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS Database MigrationService does not collect information about your on-premises infrastructure, but rather uses a source and a target endpoint to connect to your databases and transfer the data. References: AWS Application Discovery Service, AWS DataSync, AWS Application Migration Service, [AWS Database Migration Service]

The AWS Cloud benefit that describes the ability to acquire resources as they are needed and release resources when they are no longer needed is elasticity. Elasticity means that users can quickly add and remove resources to match the demand of their applications, and only pay for what they use. Elasticity enables users to handle unpredictable workloads, reduce costs, and improve performance1. Economies of scale, agility, and security are other benefits of the AWS Cloud, but they do not describe the specific ability of acquiring and releasing resources on demand.

These are two of the seven capabilities that are in the platform perspective of the AWS Cloud Adoption Framework (AWS CAF). The platform perspective helps you build an enterprise-grade, scalable, hybrid cloud platform, modernize existing workloads, and implement new cloud-native solutions1. The other five capabilities are:

Platform architecture – Establish and maintain guidelines, principles, patterns, and guardrails for your cloud environment.

Platform engineering – Build a compliant multi-account cloud environment with enhanced security features, and packaged, reusable cloud products.

Platform operations – Manage and optimize your cloud environment with automation, monitoring, and incident response.

Application development – Develop and deploy cloud-native applications using modern architectures and best practices.

Application migration – Migrate your existing applications to the cloud using proven methodologies and tools.

Performance and capacity management, infrastructure protection, and change and release management are not capabilities of the platform perspective. They are part of the operations perspective, which helps you achieve operational excellence in the cloud2. The operations perspective comprises six capabilities:

Performance and capacity management – Monitor and optimize the performance and capacity of your cloud workloads.

Infrastructure protection – Protect your cloud infrastructure from unauthorized access, malicious attacks, and data breaches.

Change and release management – Manage changes and releases to your cloud workloads using automation and governance.

Configuration management – Manage the configuration of your cloud resources and applications using automation and version control.

Incident management – Respond to incidents affecting your cloud workloads using best practices and tools.

Service continuity management – Ensure the availability and resilience of your cloud workloads using backup, recovery, and disaster recovery strategies.

Reserved Instances are a pricing model that offers significant discounts on Amazon EC2 usage compared to On-Demand Instances. Reserved Instances are suitable for stateful workloads that have predictable and consistent usage patterns for a long-term period. By committing to a one-year or three-year term, customers can reduce their total cost of ownership and optimize their cloud spend. Reserved Instances also provide capacity reservation, ensuring that customers have access to the EC2 instances they need when they need them. References: AWS Pricing Calculator, Amazon EC2 Pricing, [AWS Cloud Practitioner Essentials: Module 3 - Compute in the Cloud]

Amazon S3 Glacier Deep Archive is the lowest-cost storage class in the cloud. It is designed for long-term data archiving that is rarely accessed. It offers a retrieval time of 12 hours and a durability of 99.999999999% (11 9’s). It is ideal for data that must be retained for 7 years or longer to meet regulatory compliance requirements.

AWS Artifact is a self-service portal that provides on-demand access to AWS security and compliance reports and select online agreements. You can use AWS Artifact to download AWS service audit reports, such as ISO, PCI, and SOC, and to accept and manage agreements with AWS, such as the Business Associate Addendum (BAA).

AWS Budgets is a tool that allows users to set AWS spending targets and track costs against those targets. Users can create budgets for various dimensions, such as service, linked account, tag, and more. Users can also receive alerts when the actual or forecasted costs exceed or are projected to exceed the budgeted amount. AWS Cost Explorer, AWS Cost and Usage Report, and Savings Plans are other AWS tools or features that can help users manage and optimize their AWS costs, but they do not enable users to set and track spending targets .

Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization. Amazon Kendra supports natural language queries, and can search fortext in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1.

Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. However, it is not designed for searching for text in documents stored in Amazon S32.

Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more. However, it is not designed for searching for text in documents stored in Amazon S33.

Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language. However, it is not designed for searching for text in documents stored in Amazon S34.

Amazon RDS is a managed database service that handles most of the common database administration tasks, such as hardware provisioning, server maintenance, backup and recovery, patching, scaling, and replication. However, Amazon RDS does not optimize the application that interacts with the database. The company is stillresponsible for tuning the performance, security, and availability of the application according to its business requirements and best practices12.

Amazon EC2 is the AWS service that the company should use to meet its requirements of retaining full control of patch management for the guest operating systems that host its applications. Amazon EC2 is a service that provides secure, resizable compute capacity in the cloud. Users can launch virtual servers, called instances, that run various operating systems, such as Linux, Windows, macOS, and more. Users have full administrative access to their instances and can install and configure any software, including patches and updates, on their instances. Users are responsible for managing the security and maintenance of their instances, including patching the guest operating system and applications. Users can also use AWS Systems Manager to automate and simplify the patching process for their EC2 instances. AWS Systems Manager is a service that helps users manage their AWS and on-premises resources atscale. Users can use AWS Systems Manager Patch Manager to scan their instances for missing patches, define patch baselines and maintenance windows, and apply patches automatically or manually across their instances. Users can also use AWS Systems Manager to monitor the patch compliance status and patching history of their instances. References: What is Amazon EC2?, AWS Systems Manager Patch Manager

The AWS service that meets the requirement of providing a managed machine learning (ML) service that can recommend products based on a customer’s previous behaviors is Amazon Personalize. Amazon Personalize is a fully managed service that enables developers to create personalized recommendations for customers using their own data. Amazon Personalize can automatically process and examine the data, identify what is meaningful, select the right algorithms, and train andoptimize a personalized recommendation model2. Amazon SageMaker, Amazon Pinpoint, and Amazon Comprehend are other AWS services related to machine learning, but they do not provide the specific functionality of product recommendation.

S3 Access Points are a feature of Amazon S3 that allows you to easily manage access to specific data that is hosted in S3 buckets. S3 Access Points are unique hostnames that customers can use to access data in S3 buckets. You can create multiple access points for a single bucket, each with its own name and permissions. You can use S3 Access Points to provide different levels of access to different groups of customers, such as read-only or write-only access. You can also use S3 Access Points to enforce encryption or logging requirements for specific data. S3 Access Points help you keep control over the full datasets that you share with your customers, while simplifying the access management and improving the performance and scalability of your applications.

Amazon Lightsail is an easy-to-use cloud platform that offers you everything needed to build an application or website, plus a cost-effective, monthly plan. Whether you’re new to the cloud or looking to get on the cloud quickly with AWS infrastructure you trust, we’ve got you covered. Lightsail provides the simplest way for the company to establish a website on AWS.

Amazon Aurora is a fully managed MySQL-compatible database that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora is part of the Amazon Relational Database Service (Amazon RDS) family, which means it inherits the benefits of a fully managed service, such as automated backups, patches, scaling, monitoring, and security. Amazon Aurora also offers up to five times the throughput of standard MySQL, as well as high availability, durability, and fault tolerance with up to 15 read replicas, cross-Region replication, and self-healing storage. Amazon Aurora is compatible with the latest versions of MySQL, as well as PostgreSQL, and supports various features and integrations that enhance its functionality and usability123

 Amazon Aurora, Amazon RDS, AWS — Amazon Aurora Overview

AWS Elastic Beanstalk is a service that allows you to deploy and manage applications on AWS without manually creating and configuring the required resources, such as EC2 instances, load balancers, security groups, databases, and more. AWS Elastic Beanstalk automatically handles the provisioning, scaling, load balancing, health monitoring, and updating of your application, while giving you full control over the underlying AWS resources if needed. AWS Elastic Beanstalk supports a variety of platforms and languages, such as Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. You can use the AWS Management Console, the AWS CLI, the AWS SDKs, or the AWS Elastic Beanstalk API to create and manage your applications. You can also use AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to integrate AWS Elastic Beanstalk with your development and deployment workflows12

AWS CodePipeline is a continuous delivery and deployment service that automates the release process of software applications across different stages, such as source code, build, test, and deploy2. AWSAppSync, AWS Cloud9, and AWS CodeCommit are other AWS services related to application development, but they do not provide continuous delivery and deployment solutions34 .

 To make a subnet public, the company should use an Amazon VPC internet gateway and an Amazon VPC route table. An internet gateway is a horizontally scaled, redundant, and highly available VPC component that allows communication between your VPC and the internet. A route table contains a set of rules, called routes, that are used to determine where network traffic from your subnet or gateway is directed. To enable internet access for a subnet, you need to attach an internet gateway to your VPC and add a route to the internet gateway in the route table associated with the subnet.

AWS Managed Services is a service that provides operational management for AWS infrastructure and applications. It helps users migrate their workloads to AWS and provides ongoing support, security, compliance, and automation. AWS Trusted Advisor is a service that provides best practices and recommendations for cost optimization, performance, security, and fault tolerance. AWS Consulting Partners are professional services firms that help customers design, architect, build, migrate, and manage their workloads and applications on AWS. AWS Artifacts is a service that provides on-demand access to AWS compliance reports and select online agreements.

 S3 Glacier Deep Archive is Amazon S3’s lowest-cost storage class and supports long-term retention and digital preservation for data that may be accessed once or twice in a year. It is designed forcustomers — particularly those in highly-regulated industries, such as the Financial Services, Healthcare, and Public Sectors — that retain data sets for 7-10 years or longer to meet regulatory compliance requirements. Customers can store large amounts of data at a very low cost, and reliably access it with a wait time of 12 hours3.

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while the customer is responsible for the security in the cloud. This means that AWS provides the physical and environmental controls, the service and communications protection, and the awareness and training for its employees, while the customer provides the patch and configuration management, the identity and access management, the data encryption, and the firewall configuration for its resources3.