Free Practice Questions for Amazon Web Services CLF-C02 Exam

Cloud fluency is a capability that belongs to the people perspective of the AWS Cloud Adoption Framework (AWS CAF). Cloud fluency is the ability of the workforce to understand the benefits, challenges, and best practices of cloud computing, and to apply them to their roles and responsibilities. Cloud fluency helps the organization to adopt a cloud mindset, culture, and skills, and to leverage the full potential of the cloud. Cloud fluency can be achieved through various methods, such as training, certification, mentoring, coaching, and hands-on experience. Cloud fluency is one of the four capabilities of the people perspective, along with culture, organizational structure, and leadership. The other three capabilities belong to different perspectives of the AWS CAF. Data architecture is a capability of the platform perspective, which helps you design and implement data solutions that meet your business and technical requirements. Event management is a capability of the operations perspective, which helps you monitor and respond to events that affect the availability, performance, and security of your cloud resources. Strategic partnership is a capability of the business perspective, which helps you establish and maintain relationships with external stakeholders, such as customers, partners, suppliers, and regulators, to create value and achieve your business goals. References: AWS Cloud Adoption Framework: People Perspective, AWS CAF - Cloud Adoption Framework - W3Schools

AWS CloudTrail is the AWS service that can identify when an Amazon EC2 instance was terminated. AWS CloudTrail is a service that records API calls and events for AWS accounts and resources. AWS CloudTrail can capture the TerminateInstances event, which is triggered when an EC2 instance is terminated by a user or an AWS service. The event contains information such as the instance ID, the user identity, the source IP address, the time, and the reason for the termination12. Customers can use the CloudTrail console, the AWS CLI, or the AWS SDKs to viewand search for the TerminateInstances events in their event history or in their S3 buckets where they store their CloudTrail logs13.

A is correct because Amazon Lex is the AWS service that helps users build conversational interfaces into applications using voice and text. B is incorrect because Amazon Transcribe is the AWS service that helps users convert speech to text. C is incorrect because Amazon Comprehend is the AWS service that helps users analyze text using natural language processing. D is incorrect because Amazon Timestream is the AWS service that helps users collect, store, and process time series data.

 Basing the selection of Amazon EC2 instance types on past utilization patterns is a way to right size the AWS resources and optimize the performance and cost. Using Amazon S3 Lifecycle policies to move objects that users access infrequently to lower-cost storage tiers is another way to reduce the storage costs and align them with the business value of the data. These two actions are recommended by the AWS Cost Optimization Pillar1. Switching from Amazon RDS to Amazon DynamoDB is not necessarily a cost-saving action, as it depends on the use case and the data model. Using Multi-AZ deployments for Amazon RDS is a way to improve the availability and durability of the database, but it also increases the cost. Replacing existing Amazon EC2 instanceswith AWS Elastic Beanstalk is a way to simplify the deployment and management of the application, but it does not affect the cost of the underlying EC2 instances.

Service control policies (SCPs) are a type of organization policy that you can use to manage permissions in your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization’s access control guidelines2. SCPs are available only in an organization that has all features enabled2.

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.

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

Amazon EC2 is the AWS service that requires the customer to be fully responsible for applying operating system patches. Amazon EC2 is a service that provides secure, resizable compute capacity in the cloud. Customers can launch virtual servers called instances and choose from various configurations of CPU, memory, storage, and networking resources1. Customers have full control and access to their instances, which means they are also responsible for managing and maintaining them, including applying operating system patches2. Customers can use AWS Systems Manager Patch Manager, a feature of AWS Systems Manager, to automate the process of patching their EC2 instances with both security-related updates and other types of updates3.

A company wants an AWS service to collect and process 10 TB of data locally and transfer the data to AWS. The company has intermittent connectivity.

Which AWS service will meet these requirements?

AWS Database Migration Service (AWS DMS)

AWS DataSync

AWS Backup

AWS Snowball Edge

Answer: D

The correct answer is D. AWS Snowball Edge.

AWS Snowball Edge is a physical device that can be used to collect and process data locally and then transfer it to AWS. It is designed for situations where there is limited or intermittent network connectivity, or where bandwidth costs are high.AWS Snowball Edge can store up to 80 TB of data and has compute and storage capabilities to run applications on the device1.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS.It does not collect or process data locally, nor does it work offline2.

AWS DataSync is a service that helps transfer data between on-premises storage systems and AWS storage services.It does not collect or process data locally, and it requires a network connection to work3.

AWS Backup is a service that helps automate and manage backups across AWS services. It does not collect or process data locally, nor does it transfer data to AWS.It only backs up data that is already in AWS4.

AWS Trusted Advisor is a service that provides real-time guidance to help you provision your resources following AWS best practices. AWS Trusted Advisor provides recommended actions in five categories: cost optimization, performance, security, fault tolerance, and service quotas. Cost optimization helps you reduce your overall AWS costs by identifying idle and underutilized resources. Service quotas helps you monitor and manage your usage of AWS service quotas and request quota increases. Operating system patches, repetitive tasks, and account activity records are not categories that AWS Trusted Advisor provides recommended actions for. Source: [AWS Trusted Advisor]

 The AWS service that meets the requirements of providing a graph database service that is scalable and highly available is Amazon Neptune. Amazon Neptune is a fast, reliable, and fully managed graph database service that supports property graph and RDF graph models. Amazon Neptune is designed to store billions of relationships and query the graph with milliseconds latency. Amazon Neptune also offers high availability and durability by replicating six copies of the data across three Availability Zones and continuously backing up the data to Amazon S35. Amazon Aurora, Amazon Redshift, and Amazon DynamoDB are other AWS services that provide relational or non-relational database solutions, but they do not support graph database models.

AWS Outposts is a service that delivers AWS infrastructure and services to virtually any on-premises or edge location for a truly consistent hybrid experience. AWS Outposts allows you to extend and run native AWS services on premises, and is available in a variety of form factors, from 1U and 2U Outposts servers to 42U Outposts racks, and multiple rack deployments. With AWS Outposts, you can run some AWS services locally and connect to a broad range of services available in the local AWS Region. Run applications and workloads on premises using familiarAWS services, tools, and APIs2. AWS Outposts is the only AWS service that supports a hybridarchitecture that gives users the ability to extend AWS infrastructure, AWS services, APIs, and tools to data centers, co-location environments, or on-premises facilities. References: On-Premises Infrastructure - AWS Outposts Family

Amazon Cognito is a service that enables you to add user sign-up and sign-in features to your web and mobile applications. Amazon Cognito also supports social and enterprise identity federation, which means you can allow your users to sign in with their existing credentials from identity providers such as Google, Facebook, Apple, and Amazon. Amazon Cognito integrates with OpenID Connect (OIDC) and Security Assertion Markup Language (SAML) 2.0 protocols to facilitate the authentication and authorization process. Amazon Cognito also provides advanced security features, such as adaptive authentication, user verification, and multi-factor authentication (MFA). References: Amazon Cognito, What is Amazon Cognito?

The AWS service that will meet this requirement is C. AWS Backup.

AWS Backup is a service that allows you to define a central data protection policy that works across AWS services for compute, storage, and database resources. You can use AWS Backup to create backup plans that specify the frequency, retention, and lifecycle of your backups, and apply them to your AWS resources using tags or resource IDs.AWS Backup supports various AWS services, such as Amazon EC2,Amazon EBS, Amazon RDS, Amazon DynamoDB, Amazon EFS, Amazon FSx, and AWS Storage Gateway12.

AWS Batch is a service that allows you to run batch computing workloads on AWS.AWS Batch does not provide a central data protection policy, but rather enables you to optimize the allocation and utilization of your compute resources3.

AWS Elastic Disaster Recovery is a service that allows you to prepare for and recover from disasters using AWS.AWS Elastic Disaster Recovery does not provide a central data protection policy, but rather helps you minimize downtime and data loss by replicating your applications and data to AWS4.

Amazon FSx is a service that provides fully managed file storage for Windows and Linux applications.Amazon FSx does not provide a central data protection policy, but rather offers features such as encryption, snapshots, backups, and replication to protect your file systems5.

AWS Control Tower is the easiest way to set up and govern a secure, multi-account AWS environment based on best practices established through AWS’s experience working with thousands of enterprises as they move to the cloud. With AWS Control Tower, builders can provision new AWS accounts in a few clicks, while you have peace of mind knowing your accounts conform to your organization’s policies. AWS Control Tower automates the setup of a baseline environment, or landing zone, that is a secure, well-architected multi-account AWS environment1. AWS Control Tower helps you apply security best practices from the AWS Well-Architected Framework to all of your AWS accounts2.

Amazon EC2 Auto Scaling helps you ensure that you have the correct number of Amazon EC2 instances available to handle the load for your application. You create collections of EC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that your group never goes below this size. You can specify the maximum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that your group never goes above this size4. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.