CLF-C02 Exam Dumps - AWS Certified Cloud Practitioner

Amazon RDS is a service that makes it easy to set up, operate, and scale a relational database in the cloud. Amazon RDS supports MySQL as one of the database engines. By using Amazon RDS with a MySQL database, the company can offload the tasks of patching the database and taking backup snapshots to AWS. Amazon RDS automatically patches the database software and operating system of the database instances. Amazon RDS also automatically backs up the database and retains the backups for a user-defined retention period. The company can also restore the database to any point in time within the retention period. Deploying MySQL database server clusters onAmazon EC2 instances, using an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances, or migrating all the MySQL database data to Amazon S3 are not the best options to meet the requirements. These options would not automate the tasks of patching the database and taking backup snapshots, and would require more operational overhead from the company3

Provisioning additional EC2 instances in other Availability Zones is a way to make the application highly available, as it reduces the impact of failures and increases fault tolerance. Configuring an Application Load Balancer and assigning the EC2 instance as the ALB’s target is a way to distribute traffic among multiple instances, but it does not make the application highly available if there is only one instance. Using an Amazon Machine Image to create the EC2 instance is a way to launch a virtual server with a preconfigured operating system and software, but it does not make the application highly available by itself. Provisioning the application by using an EC2 Spot Instance is a way to use spare EC2 capacity at up to 90% off the On-Demand price, but it does not make the application highly available, as Spot Instances can be interrupted by EC2 with a two-minute notification.

 AWS Budgets allows you to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. You can also use AWS Budgets to set reservation utilization or coverage targets and receive alerts when your utilization drops below the threshold you define. AWS Budgets provides you with a comprehensive view of your cost and usage, as well as your reservation utilization and coverage1.

Spot Instances offer the lowest cost for Amazon EC2 and are suitable for non-production workloads like development and testing where occasional unavailability is acceptable. Spot Instances take advantage of unused EC2 capacity at a reduced cost, making them ideal for environments that can tolerate interruptions. Reserved or On-Demand Instances would be more expensive for this scenario, and Dedicated Hosts are not cost-effective for non-production environments.

Amazon Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th thecost of relational databases1. Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.

The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.

1: Time Series Database – Amazon Timestream – Amazon Web Services

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

The AWS service that should be used when a company needs to provide its remote employees with virtual desktops is Amazon WorkSpaces. Amazon WorkSpaces is a fully managed, secure desktop-as-a-service (DaaS) solution that runs on AWS. Amazon WorkSpaces allows users to provision cloud-based virtual desktops and provide their end users access to the documents, applications, and resources they need from any supported device, including Windows and Mac computers, Chromebooks, iPads, Fire tablets, and Android tablets4. Amazon Identity and Access Management (IAM), AWS Directory Service, and AWS IAM Identity Center (AWS Single Sign-On) are other AWS services related to identity and access management, but they do not provide virtual desktops.

According to the AWS shared responsibility model, the customer is responsible for security in the cloud, which includes the tasks of configuring the AWS provided security group firewall and classifying company assets in the AWS Cloud. A security group is a virtual firewall that controls the inbound and outbound traffic for one or more EC2 instances. The customer must configure the security group rules to allow or deny traffic based on protocol, port, or source and destination IP address2 Classifying company assets in the AWS Cloud means identifying the types, categories, and sensitivity levels of the data and resources that the customer stores and processes on AWS. The customer must also determine the applicable compliance requirements and regulations that apply to their assets, and implement the appropriate security controls and measures to protect them