Amazon Web Services Updated CLF-C02 Exam Questions and Answers by scarlet

Amazon Elastic File System (Amazon EFS) is a service that provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and on-premises resources. It is built to scale on demand to petabytes without disrupting applications, growing and shrinking automatically as you add and remove files, eliminating the need to provision and manage capacity to accommodate growth. You can use Amazon EFS to create a shared file system that can be available to both your on-premises data center and your AWS Cloud environment. Amazon Elastic Block Store (Amazon EBS) is a service that provides persistent block storage volumes for use with Amazon EC2 instances in the AWS Cloud. Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure, offering high availability and durability. However, Amazon EBS volumes are not shared file systems, and they cannot be available to both your on-premises data center and your AWS Cloud environment. Amazon S3 is a service that provides object storage through a web services interface. You can use Amazon S3 to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big dataanalytics. However, Amazon S3 is not a shared file system, and it cannot be available to both your on-premises data center and your AWS Cloud environment without additional configuration. Amazon ElastiCache is a service that enables you to seamlessly set up, run, and scale popular open-source compatible in-memory data stores in the cloud. You can use Amazon ElastiCache to improve the performance of your applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases. However, Amazon ElastiCache is not a shared file system, and it cannot be available to both your on-premises data center and your AWS Cloud environment.

 Refine operation procedures frequently is one of the design principles of the operational excellence pillar of the AWS Well-Architected Framework. It means that users should continuously review and validate their operational processes to ensure that they are effective and that staff are familiar with them. It also means that users should identify and address any gaps or issues in their processes, and incorporate feedback and lessons learned from operational events5. Perform operations as code is another design principle of the operational excellence pillar, which means that users should automate and script their operational tasks to reduce human error and enable consistent and repeatable execution. Make frequent, small, reversible changes is a design principle of the reliability pillar, which means that users should deploy changes in small increments that can be easily tested and rolled back if necessary. Structure the company to support business outcomes is a design principle of the performance efficiency pillar, which means that users should align their organizational structure and culture with their business goals and cloud strategy.

Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization. Amazon Kendra supports natural language queries, and can search fortext in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1.

Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. However, it is not designed for searching for text in documents stored in Amazon S32.

Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more. However, it is not designed for searching for text in documents stored in Amazon S33.

Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language. However, it is not designed for searching for text in documents stored in Amazon S34.

AWS Regions are the AWS service or resource that the company should use to select its Amazon RDS deployment area. AWS Regions are separate geographic areas where AWS clusters its data centers. Each AWS Region consists of multiple, isolated, and physically separate Availability Zones within a geographic area. Each AWS Region is designed to be isolated from the other AWS Regions to achieve the highest possible fault tolerance and stability. AWS provides a more extensive global footprint than any other cloud provider, and to support its global footprint and ensure customers are served across the world, AWS opens new Regions rapidly. AWS maintains multiple geographic Regions, including Regions in North America, South America, Europe, China, Asia Pacific, South Africa, and the Middle East. Amazon RDS is available in several AWS Regions worldwide. To create or work with an Amazon RDS DB instance in a specific AWS Region, you must use the corresponding regional service endpoint. You can choose the AWS Region that meets your latency or legal requirements. You can also use multiple AWS Regions to design a disaster recovery solution or to distribute your read workload. References: Global Infrastructure Regions & AZs - aws.amazon.com, Regions, Availability Zones, and Local Zones - Amazon Relational Database Service