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

AWS Key Management Service (AWS KMS) is a managed service that enables you to easily encrypt your data. AWS KMS provides you with centralized control of the encryption keys used to protect your data. You can use AWS KMS to encrypt data in Amazon RDS and Amazon EBS volumes12

The AWS service or resource that will meet the requirement of verifying if multi-factor authentication (MFA) is enabled for all users within its AWS accounts is IAM credential reports. IAM credential reports are downloadable reports that list all the users in an AWS account and the status of their various credentials, including passwords, access keys, and MFA devices. Users can use IAM credential reports to audit the security status of their AWS accounts and identify any issues or risks4. AWS Cost and Usage Report, AWS Artifact, and Amazon CloudFront reports are other AWS services or resources that provide different types of information, such as billing, compliance, and content delivery, but they do not show the MFA status of the users.

AWS Budgets is a service that allows you to set custom budgets for your AWS costs and usage, and receive alerts via email or Amazon SNS notifications if you exceed or are forecasted to exceed your budgeted amount1. You can create budgets based on different dimensions, such as service, linked account, tag, or purchase option, and define various types of alerts, such as actual, forecasted, or RI utilization alerts2. You can also configure custom actions to automatically execute remediation tasks or workflows when a budget threshold is breached3. AWS Budgets is the only service among the options that can send alerts to customers if custom spending thresholds are exceeded. The other options are not AWS services that provide this functionality.

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 for text 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.

References:

• Amazon Kendra – Intelligent Search Service Powered by Machine Learning
• Amazon Rekognition – Video and Image - AWS
• Amazon Polly – Text-to-Speech Service - AWS
• Amazon Lex – Build Conversation Bots - AWS