CLF-C02 Exam Dumps - AWS Certified Cloud Practitioner

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

On-Demand Instances are the most flexible and cost-effective pricing model for short-term, experimental, or unpredictable workloads on AWS. On-Demand Instances let you pay only for the resources you use, without any long-term commitments or upfront fees. You can easily start and stop instances as needed, and scale up or down depending on your demand.

Savings Plans, Reserved Instances, and Dedicated Hosts are all pricing models that require a commitment for a certain amount of usage or capacity for a one- or three-year term. These pricing models offer lower prices than On-Demand Instances, but they are not suitable for workloads that only run for 3 to 6 months or have variable usage patterns. Savings Plans and Reserved Instances also offer flexibility to change instance types, sizes, or regions within the same family or pool, while Dedicated Hosts are physical servers that can only run specific instance types.

Amazon CloudFrontis a content delivery network (CDN) that helps deliver your website content globally with low latency by caching copies of your website content at edge locations around the world. This helps ensure that users receive content from the edge location closest to them, thereby reducing latency and improving user experience.

A. Amazon Route 53: Incorrect, as it is a DNS web service that routes users to the appropriate endpoint, but it does not cache content or reduce latency.

C. Elastic Load Balancing: Incorrect, as it distributes incoming application or network traffic across multiple targets, but does not cache content globally.

D. AWS Lambda: Incorrect, as it is a serverless compute service, not intended for content delivery.

AWS Cloud References:

Amazon CloudFront

AWS Artifact is a service provided by AWS that offers on-demand access to AWS compliance reports, including the Payment Card Industry (PCI) reports. It is the primary tool for retrieving compliance reports such as Service Organization Control (SOC) reports, ISO certifications, and Payment Card Industry Data Security Standard (PCI DSS) reports.

To obtain these reports:

The company should log into the AWS Management Console and navigate to AWS Artifact.

From there, they can select and download the necessary compliance reports.

Why other options are not suitable:

A. Contact AWS Support: AWS Support is not needed to obtain these reports; they are readily available through AWS Artifact.

C. Download reports from AWS Security Hub: AWS Security Hub is a service that provides a comprehensive view of security alerts and compliance status, but it does not host or provide compliance reports like PCI DSS.

D. Contact an AWS technical account manager (TAM): While a TAM may assist in various AWS-related queries, they are not required to obtain PCI reports. AWS Artifact is designed for this purpose.

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora PostgreSQL-Compatible Edition. It is a fully managed service that automatically scales up and down based on the application’s actual needs. Amazon Aurora Serverless is suitable for applications that have infrequent, intermittent, or unpredictable database workloads, and that do not require the full power and range of options provided by provisioned Aurora clusters. Amazon Aurora Serverless eliminates the need to provision and manage database instances, and reduces the management overhead associated with database administration tasks such as scaling, patching, backup, and recovery. References: Amazon Aurora Serverless, Choosing between Aurora Serverless and provisioned Aurora DB clusters, [AWS Cloud Practitioner Essentials: Module 4 - Databases in the Cloud]

AWS Budgets is a service that allows you to set custom budgets for your AWS costs and usage, and receive alerts via email or Amazon SNS notifications if you exceed or are forecasted to exceed your budgeted amount1. You can create budgets based on different dimensions, such as service, linked account, tag, or purchase option, and define various types of alerts, such as actual, forecasted, or RI utilization alerts2. You can also configure custom actions to automatically execute remediation tasks or workflows when a budget threshold is breached3. AWS Budgets is the only service among the options that can send alerts to customers if custom spending thresholds are exceeded. The other options are not AWS services that provide this functionality.

AWS Management Console is a web application that allows you to manage and monitor your AWS Cloud resources through a user-friendly interface. You can use the AWS Management Console to access and experiment with over 150 AWS services, view and modify your account and billing information, get in-console help from AWS Support, and customize your dashboard with widgets that display key metrics and information for your applications567. You can also use the AWS Management Console to launch and configure AWS resources using wizards andtemplates, without writing any code5. References: 5: Manage AWS Resources - AWS Management Console - AWS, 6: Getting Started with the AWS Management Console, 7: Manage AWS Resources - AWS Management Console Features - AWS

Amazon CloudWatch alarm is an AWS service or feature that can initiate an Amazon EC2 Auto Scaling action based on CPU utilization. Amazon CloudWatch is a monitoring and observability service that collects and tracks metrics, logs, events, and alarms for your AWS resources and applications. Amazon CloudWatch alarms are actions that you can configure to send notifications or automatically make changes to the resources you are monitoring based on rules that you define67.

Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create dynamic scaling policies that track a specific CloudWatch metric, such as CPU utilization, and define what action to take when the associated CloudWatch alarm is in ALARM. When the policy is in effect, Amazon EC2 Auto Scaling adjusts the group’s desired capacity up or down when the threshold of an alarm is breached89. References: 6: Cloud Monitoring - Amazon CloudWatch - AWS, 7: Amazon CloudWatch Documentation, 8: Dynamic scaling for Amazon EC2 Auto Scaling, 9: Amazon EC2 Auto Scaling Documentation