CLF-C02 Exam Dumps - AWS Certified Cloud Practitioner

Reserved Instances (RIs) offer a significant discount (up to 75%) compared to On-Demand pricing in exchange for committing to use AWS for a period of 1 or 3 years. This pricing model is ideal for applications with predictable usage patterns or long-term commitments, such as critical production systems that will be running for at least 3 years.

A. On-Demand Instances: Incorrect, as they provide flexibility without commitment but are more expensive over the long term.

C. Spot Instances: Incorrect, as they offer the lowest cost for non-critical, interruptible workloads but are not suitable for critical production systems due to their potential for sudden termination.

D. AWS Free Tier: Incorrect, as it provides limited free usage for certain AWS services for a short period (typically one year) and is not intended for long-term production workloads.

AWS Cloud References:

Amazon EC2 Reserved Instances

AWS Organizations is a service that enables you to create and manage multiple AWS accounts centrally. You can use AWS Organizations to automate account creation, apply policies to control access and permissions, and consolidate billing across your accounts. You can also use AWS Organizations to prevent users from creating Amazon EC2 instances in certain regions or with certain configurations2

The AWS Developer Forums are always free to use, regardless of the user's AWS Support plan. They provide a platform for users to ask questions, share knowledge, and collaborate with the AWS community.

A. AWS Developer Support: Incorrect, as it is a paid support plan option.

C. Programmatic case management: Incorrect, as this feature is available only with certain AWS Support plans (Business and Enterprise).

D. AWS Technical Account Manager (TAM): Incorrect, as a TAM is provided only under the AWS Enterprise Support plan, which is a paid support option.

AWS Cloud References:

AWS Support Plans

AWS WAF Overview:

AWS Web Application Firewall (WAF) allows users to create rules to block or allow traffic based on IP addresses, request patterns, and other conditions.

It is ideal for blocking traffic from a specific IP address.

Why AWS WAF Meets the Requirement:

The company can create a WAF rule to block traffic from the malicious IP address.

WAF integrates with services like Amazon CloudFront, Application Load Balancer, and API Gateway.

Why Other Options Are Incorrect:

A. AWS Shield: Protects against DDoS attacks but does not allow custom IP blocking.

B. AWS Config: Monitors resource configurations but does not block IPs.

C. Amazon GuardDuty: Detects threats but does not block traffic directly.

References:

AWS WAF Documentation

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

Cost optimization is the pillar of the AWS Well-Architected Framework that aligns with the requirements of not relying on elaborate forecasting and paying only for the resources that are used. The cost optimization pillar focuses on the ability of a system to deliver business value at the lowest price point. Cost optimization involves using the right AWS services and resources for the workload, measuring and monitoring the cost and usage, and continuously improving the cost efficiency. Cost optimization also leverages the benefits of the AWS Cloud, such as pay-as-you-go pricing, elasticity, and scalability. For more information, see [Cost Optimization Pillar] and [Cost Optimization].

AWS Database Migration Service (DMS) and AWS Schema Conversion Tool are the primary services for migrating a commercial relational database to an Amazon-managed open-source database. AWS DMS helps migrate the data, while the AWS Schema Conversion Tool converts the database schema from the source database format to the target format, including SQL code. AWS SDKs are for software development, AWS Systems Manager is for operational management, and Amazon EMR is for big data processing, which are not relevant to this use case.

Amazon Personalize is an AWS service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user segmentation1. It uses machine learning (ML) to analyze customer data and provide relevant recommendations based on their preferences, behavior, and context. Amazon Personalize can be used for various use cases such as optimizing recommendations, targeting customers more accurately, maximizing the value of unstructured text, and promoting items using business rules1.

The other options are not suitable for providing product recommendations based on customer data. Amazon Polly is a service that converts text into lifelike speech. Amazon Comprehend is a service that uses natural language processing (NLP) to extract insights from text and documents. Amazon Rekognition is a service that uses computer vision (CV) to analyze images and videos for faces, objects, scenes, and activities.

References:

1: Cloud Products - Amazon Web Services (AWS)

2: Recommender System – Amazon Personalize – Amazon Web Services

3: Top 25 AWS Services List 2023 - GeeksforGeeks

4: AWS to Azure services comparison - Azure Architecture Center

5: The 25+ Best AWS Cost Optimization Tools (Updated 2023) - CloudZero

6: Amazon Polly – Text-to-Speech Service - AWS

7: Natural Language Processing - Amazon Comprehend - AWS

8: Image and Video Analysis - Amazon Rekognition - AWS