CLF-C02 Exam Dumps - AWS Certified Cloud Practitioner

Amazon EC2 is an AWS service that provides scalable, secure, and resizable compute capacity in the cloud. Amazon EC2 allows customers to launch and manage virtual servers, called instances, that run a variety of operating systems and applications. Customers have full control over the configuration and management of their instances, including the guest operating system. Therefore, customers are responsible for updating and patching the guest operating system on their EC2 instances, as well as any other software or utilities installed on the instances. AWS provides tools and services, such as AWS Systems Manager and AWS OpsWorks, to help customers automate and simplify the patching process. References: Shared Responsibility Model, Shared responsibility model, [Amazon EC2]

Amazon GuardDuty is a threat detection service that continuously monitors AWS accounts and workloads for malicious activity and unauthorized behavior to help protect your AWS resources. It uses machine learning, anomaly detection, and integrated threat intelligence to detect when an instance or account might be compromised or if there are threats from attacks.

B. AWS WAF: Incorrect, as it is a web application firewall that protects against common web exploits but does not provide comprehensive threat detection.

C. AWS Shield: Incorrect, as it provides protection against DDoS attacks but does not detect compromises within AWS accounts.

D. Amazon Inspector: Incorrect, as it is a service that helps improve the security and compliance of applications deployed on AWS by assessing for vulnerabilities, not for threat detection.

AWS Cloud References:

Amazon GuardDuty

Amazon Personalize is a service that provides real-time personalized recommendations based on the user’s behavior, preferences, and context. It can also incorporate metadata such as product color and brand to generate more relevant recommendations. Amazon Comprehend is a natural language processing (NLP) service that can analyze text for entities, sentiments, topics, and more. Amazon Forecast is a service that provides accurate time-series forecasting based on machine learning. Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning.

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.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. It offers integrated Jupyter notebooks for data exploration, pre-built algorithms, and automatic model tuning to optimize hyperparameters.

Why other options are not suitable:

A. Amazon Personalize: A managed machine learning service that provides personalized recommendations, but does not offer the full suite of ML tools for building, training, and deploying models.

B. Amazon Comprehend: A natural language processing (NLP) service, not a general-purpose ML model building and deployment service.

C. Amazon Forecast: A managed service specifically for creating accurate forecasts using machine learning, not for general-purpose ML model development.

References:

Amazon SageMaker Documentation

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 EventBridge Overview:

EventBridge is a serverless event bus that enables applications to react to changes in AWS resources.

It supports routing events such as EC2 state changes to various targets, including AWS Step Functions.

How EventBridge Meets the Requirement:

EventBridge can capture the EC2 instance state change event and trigger the execution of a Step Functions workflow.

The integration is seamless and supports workflows triggered by multiple event sources.

Why Other Options Are Incorrect:

A. Amazon SageMaker: Used for building, training, and deploying machine learning models; not related to event triggers.

B. Amazon Connect: A cloud-based contact center service; unrelated to event triggers.

D. AWS Fargate: A compute engine for containers; does not manage events or invoke workflows.

References:

Amazon EventBridge Documentation

AWS Enterprise Support provides strategic planning assistance, infrastructure event management, and real-time support, which are necessary for business-critical applications. Trusted Advisor and APN do not offer direct strategic support, and while AWS Professional Services can assist with complex solutions, Enterprise Support specifically includes ongoing operational support and event management.