Free Amazon Web Services CLF-C02 Practice Exam with Questions & Answers | Set: 14

According to AWS official service documentation,AWS Outpostsis designed to run AWS infrastructure and serviceson premiseswhile maintaining seamless integration with the AWS cloud. AWS Outposts enables customers to deliverlow-latency application experiencesby keeping compute and storage physically close to end users or on-premises systems.

Amazon Connect is a cloud-based contact center service and does not run workloads on premises. Amazon Lightsail is a simplified cloud service that runs entirely in AWS Regions. AWS Direct Connect provides a dedicated network connection to AWS but does not run workloads locally.

AWS explicitly states that AWS Outposts extends AWS services, APIs, and tools to customer data centers, enabling hybrid architectures that requirelocal processing, data residency, or ultra-low latency. This makes AWS Outposts the correct and only service among the options that directly supports running workloads on premises for low-latency use cases.

Under the AWS shared responsibility model, AWS is responsible for securityofthe cloud. For an abstracted managed service such as Amazon S3, this responsibility includes operating and protecting the infrastructure layer, physical facilities, networking, hardware, operating systems, and service platform that run S3. Therefore, option B is correct. The customer remains responsible for securityinthe cloud, including controlling access to stored objects, configuring bucket policies and IAM permissions, classifying data, and selecting appropriate data-protection settings. Enabling S3 Versioning is also a customer configuration decision. Versioning can help protect against accidental deletion or overwriting, but AWS does not automatically decide whether a particular customer bucket should use it. Similarly, AWS provides the mechanisms for bucket policies, but customers must create policies that reflect their access requirements. Data classification is based on the sensitivity, ownership, and regulatory requirements of the customer’s information and therefore cannot be performed automatically by AWS as part of its infrastructure responsibility. The key distinction is that AWS protects the platform running S3, while customers secure and govern their use of S3.

AWS Shared Responsibility Model Overview:

AWS manages securityofthe cloud, including physical infrastructure and foundational services.

Customers are responsible for securityinthe cloud, which includes operating system configuration, data encryption, and application patch management.

Why Patch Management Is Shared:

AWS is responsible for patching the underlying infrastructure.

Customers are responsible for patching the operating system and applications they install on their resources (e.g., EC2 instances).

Why Other Options Are Incorrect:

A. Configuration of Amazon EC2 instance operating systems:Fully the customer’s responsibility.

B. Application file system server-side encryption:Customers configure and manage encryption.

D. Security of the physical infrastructure:Fully AWS’s responsibility.

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 answers are A and C because Amazon EC2 Auto Scaling and resources that are distributed across multiple Availability Zones are AWS services and features that will improve availability and reduce the impact of failures for the web application. Amazon EC2 Auto Scaling is a service that enables users to automatically adjust the number of Amazon EC2 instances in response to changes in demand or performance. Amazon EC2 Auto Scaling helps users to maintain optimal availability and performance of their applications by adding or removing instances as needed. Resources that are distributed across multiple Availability Zones are AWS features that enable users to increase the fault tolerance and resilience of their applications. Availability Zones are isolated locations within an AWS Region that have independent power, cooling, and networking. Users can launch their resources, such as Amazon EC2 instances, in multiple Availability Zones to protect their applications from the failure of a single location. The other options are incorrect because they are not AWS services and features that will improve availability and reduce the impact of failures for the web application. VPC subnet ACLs are AWS features that enable users to control the inbound and outbound traffic to and from their subnets within a VPC. VPC subnet ACLs do not check the health of a service, but rather filter the network traffic based on rules. Configuration of AWS Server Migration Service (AWS SMS) is an AWS service that enables users to migrate their on-premises servers to AWS. Configuration of AWS SMS does not help to move the Amazon EC2 instances to a different AWS Region, but rather to migrate the servers from the source environment to AWS. Resources that are distributed across multiple AWS points of presence are AWS features that enable users to deliver content to their end users with low latency and high performance. AWS points of presence are edge locations that are part of the AWS Global Infrastructure. Users can use services such as Amazon CloudFront and AWS Global Accelerator to distribute their content across multiple AWS points of presence. Reference: Amazon EC2 Auto Scaling, [Regions, Availability Zones, and Local Zones]

The correct answer to the question is D because AWS Trusted Advisor is an AWS service that can be used to accomplish the goal of identifying any security group that is allowing unrestricted incoming SSH traffic. AWS Trusted Advisor is a service that provides customers with recommendations that help them follow AWS best practices. Trusted Advisor evaluates the customer’s AWS environment and identifies ways to optimize their AWS infrastructure, improve security and performance, reduce costs, and monitor service quotas. One of the checks that Trusted Advisor performs is the Security Groups - Specific Ports Unrestricted check, which flags security groups that allow unrestricted access to specific ports, such as port 22 for SSH. Customers can use this check to review and modify their security group rules to restrict SSH access to only authorized sources. Reference: Security Groups - Specific Ports Unrestricted

Amazon Rekognition is the AWS service that the company should use to build the capability of identifying and removing inappropriate photos. Amazon Rekognition is a service that uses deep learning technology to analyze images and videos for various purposes, such as face detection, object recognition, text extraction, and content moderation. Amazon Rekognition can help users detect unsafe or inappropriate content in images and videos, such as nudity, violence, or drugs, and provide confidence scores for each label. Amazon Rekognition does not require any machine learning expertise, and users can easily integrate it with other AWS services

 Applying security requirements at all layers of a process is a policy that complies with guidance in the security pillar of the AWS Well-Architected Framework. The security pillar of the AWS Well-Architected Framework provides best practices for securing the user’s data and systems in the AWS Cloud. One of the design principles of the security pillar is to apply security at all layers, which means that the user should implement defense-in-depth strategies and avoid relying on a single security mechanism. For example, the user should use multiple security controls, such as encryption, firewalls, identity and access management, and logging and monitoring, to protect their data and resources at different layers.

The company should use Amazon RDS with a MySQL database to meet the requirements of moving its workload to AWS so that the tasks of patching the database and taking backup snapshots of the data in the clusters will be completed automatically. Amazon RDS is a managed service that simplifies the setup, operation, and scaling of relational databases in the AWS Cloud. Amazon RDS automates common database administration tasks such as patching, backup, and recovery. Amazon RDS also supports MySQL and other popular database engines5

The AWS service that is designed to help users orchestrate a workflow process for a set of AWS Lambda functions is AWS Step Functions. AWS Step Functions is a service that helps userscoordinate multiple AWS services into serverless workflows that can be triggered by events, such as messages, API calls, or schedules. AWS Step Functions allows users to create and visualize complex workflows that can include branching, parallel execution, error handling, retries, and timeouts. AWS Step Functions can integrate with AWS Lambda to orchestrate a sequence of Lambda functions that perform different tasks or logic. Amazon DynamoDB, AWS CodePipeline, and AWS Batch are not the best services to use for orchestrating a workflow process for a set of AWS Lambda functions. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance, scalability, and flexibility. AWS CodePipeline is a fully managed continuous delivery service that helps users automate the release process of their applications. AWS Batch is a fully managed service that helps users run batch computing workloads on the AWS Cloud.

 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 Snowball Edge is a service that provides a physical device that can store up to 100 TB of data and perform local data processing on premises. It enables users to transfer data to and from the AWS Cloud in areas with limited or no internet connectivity. It also supports AWS Greengrass, which allows users to run AWS Lambda functions and other AWS services locally without a stable internet connection. Amazon S3 is a storage service that provides scalable, durable, and secure object storage. It requires a stable internet connection to transfer data to and from the AWS Cloud. AWS Storage Gateway is a service that provides a hybrid storage solution that connects on-premises applications to AWS Cloud storage services, such as Amazon S3, Amazon S3 Glacier, and Amazon EBS. It requires a stable internet connection to synchronize data between the on-premises and cloud storage. AWS Backup is a service that provides a centralized and automated solution to back up data across AWS services and on-premises resources. It requires a stable internet connection to transfer data to and from the AWS Cloud.

 Amazon EventBridge is the service that the company should use to meet the requirement of invoking the Lambda function once a day at a specific time. 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. You can also use Amazon EventBridge to create scheduled rules that trigger your targets at a specific time or interval, such as once a day. AWS Managed Services (AMS), AWS CodeStar, and AWS Step Functions are not services that the company should use to meet this requirement. AMS is a service that provides operational management for your AWS infrastructure and applications. AWS CodeStar is a service that provides a unified user interface for managing software development projects on AWS. AWS Step Functions is a service that coordinates multiple AWS services into serverless workflows.

Management of the guest operating systems is a customer’s responsibility, according to the AWS shared responsibility model. The AWS shared responsibility model defines the different security and compliance responsibilities of AWS and the customer. AWS is responsible for the security of the cloud, which includes the physical infrastructure, hardware, software, and facilities that run the AWS Cloud. The customer is responsible for security in the cloud, which includes the configuration and management of the guest operating systems, applications, data, and network traffic protection

Amazon S3 is the most cost-effective service for storing offsite backups of on-premises infrastructure. Amazon S3 offers low-cost, durable, and scalable storage that can be accessed from anywhere over the internet. Amazon S3 also supports lifecycle policies, versioning, encryption, and cross-region replication to optimize the backup and recovery process. Amazon EFS, Amazon FSx, and Amazon EBS are more suitable for storing data that requires high performance, low latency, and frequent access12

The correct answer is A because Amazon AppStream 2.0 is a service that will help the company deploy the application without investing in backend infrastructure or high end client hardware. Amazon AppStream 2.0 is a fully managed, secure application streaming service that allows customers to stream desktop applications from AWS to any device running a web browser. Amazon AppStream 2.0 handles the provisioning, scaling, patching, and maintenance of the backend infrastructure, and delivers high performance and responsive user experience. The other options are incorrect because they are not services that will help the company deploy the application without investing in backend infrastructure or high end client hardware. AWS AppSync is a service that enables customers to create flexible APIs for synchronizing data across multiple data sources. Amazon WorkLink is a service that enables customers to provide secure, one-click access to internalwebsites and web apps from mobile devices. AWS Elastic Beanstalk is a service that enables customers to deploy and manage web applications using popular platforms such as Java, .NET, PHP, and Node.js. Reference: [Amazon AppStream 2.0 FAQs]