Last Attempt CLF-C02 Questions

Amazon RDS is a managed database service that handles most of the common database administration tasks, such as hardware provisioning, server maintenance, backup and recovery, patching, scaling, and replication. However, Amazon RDS does not optimize the application that interacts with the database. The company is stillresponsible for tuning the performance, security, and availability of the application according to its business requirements and best practices12.

Amazon Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th thecost of relational databases1. Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.

The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.

1: Time Series Database – Amazon Timestream – Amazon Web Services

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.

The AWS service that should be used when a company needs to provide its remote employees with virtual desktops is Amazon WorkSpaces. Amazon WorkSpaces is a fully managed, secure desktop-as-a-service (DaaS) solution that runs on AWS. Amazon WorkSpaces allows users to provision cloud-based virtual desktops and provide their end users access to the documents, applications, and resources they need from any supported device, including Windows and Mac computers, Chromebooks, iPads, Fire tablets, and Android tablets4. Amazon Identity and Access Management (IAM), AWS Directory Service, and AWS IAM Identity Center (AWS Single Sign-On) are other AWS services related to identity and access management, but they do not provide virtual desktops.