CLF-C02 Exam Dumps - Amazon Web Services AWS Certified Foundational Questions and Answers

AWS recommends using tags to organize resources effectively and to activate cost allocation tags to enable detailed tracking of costs by categories such as department, environment, and application. This approach provides the granularity needed for tracking and managing AWS costs accurately. AWS Cost Management and Billing tools provide insights but do not inherently categorize costs without tags.

Using multiple Availability Zones within the same AWS Region meets the requirements for having instances in different locations with independent power and networking. Availability Zones are distinct physical locations within a region, each with separate power sources and networking. Edge locations are used for content delivery, and Amazon Connect and AWS Artifact locations are not relevant to EC2 deployment and infrastructure.

Amazon RDS provides a managed database service that supports MariaDB with minimal operational overhead. It handles routine database tasks such as backups, patching, and scaling, reducing the burden on users. Amazon Neptune and DynamoDB are not compatible with MariaDB, and Amazon S3 is not a relational database service.

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.

According to the AWS Shared Responsibility Model, AWS is responsible for the security of the cloud, while the customer is responsible for the security in the cloud. This means that AWS is responsible for protecting the infrastructure that runs AWS services, such as DynamoDB, while the customer is responsible for properly configuring the security of the provided service. For abstracted services, such as DynamoDB, the customer is primarily responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriatepermissions12. Therefore, the customer is responsible for controlling the access to DynamoDB tables, such as by creating IAM policies, roles, and users, and using encryption and authentication mechanisms3. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Security and compliance in Amazon DynamoDB - Amazon DynamoDB

What is Shared Responsibility Model? - Check Point Software

AWS Application Discovery Service is a service that helps you plan your migration to the AWS Cloud by collecting usage and configuration data about your on-premises servers and databases. This data includes information such as the hostname, IP address, and MAC address of each server, as well as the performance metrics, network connections, and processes running on them. You can use AWS Application Discovery Service to discover your on-premises inventory, map the dependencies between servers and applications, and estimate the cost and effort of migrating to AWS. You can also export the data to other AWS services, such as AWS Migration Hub and AWS Database Migration Service, to support your migration tasks. AWS Application Discovery Service offers two ways of performing discovery: agentless discovery and agent-based discovery. Agentless discovery uses a virtual appliance that you deploy on your VMware vCenter to collect data from your virtual machines and hosts. Agent-based discovery uses an agent that you install on each of your physical or virtual servers to collect data. You can choose the method that best suits your environment and needs. AWS DataSync is a service that helps you transfer data between your on-premises storage and AWS storage services, such as Amazon S3, Amazon EFS, and Amazon FSx for Windows File Server. AWS DataSync does not collect information about your on-premises infrastructure, but rather focuses on optimizing the data transfer speed, security, and reliability. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. AWS Application Migration Service does not collect information about your on-premises infrastructure, but rather uses a lightweight agent to replicate your servers as Amazon Machine Images (AMIs) and launch them as EC2 instances on AWS. AWS Database Migration Service is a service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS Database MigrationService does not collect information about your on-premises infrastructure, but rather uses a source and a target endpoint to connect to your databases and transfer the data. References: AWS Application Discovery Service, AWS DataSync, AWS Application Migration Service, [AWS Database Migration Service]

Amazon Kendra is a service that provides a highly accurate and easy-to-use enterprise search service that is powered by machine learning. Kendra delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company. Amazon SageMaker is a service that provides a fully managed platform for data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon Augmented AI (Amazon A2I) is a service that makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. None of these services provide an enterprise search service that is powered by machine learning.

The correct answer is D because AWS Enterprise Support is the support plan that provides customers with access to an AWS technical account manager (TAM). AWS Enterprise Support is the highest level of support plan offered by AWS, and it provides customers with the most comprehensive and personalized support experience. An AWS TAM is a dedicated technical resource who works closely with customers to understand their business and technical needs, provide proactive guidance, and coordinate support across AWS teams. The other options are incorrect because they are not support plans that provide customers with access to an AWS TAM. AWS Basic Support is the default and free support plan that provides customers with access to online documentation, forums, and account information. AWS Developer Support is the lowest level of paid support plan that provides customers with access to technical support during business hours, general guidance, and best practice recommendations. AWS Business Support is the intermediate level of paid support plan that provides customers with access to technical support 24/7, system health checks, architectural guidance, and case management. Reference: AWS Support Plans

Amazon Aurora (with PostgreSQL compatibility) and Amazon EC2 can both host PostgreSQL databases. Aurora is a managed database service that provides a fully compatible PostgreSQL environment with automated management. EC2 can also host PostgreSQL, but it requires more manual setup and maintenance. Amazon S3 and EFS do not host databases, and Amazon OpenSearch Service is intended for search and analytics, not relational databases.

Refactoring involves re-architecting and modifying an application to take advantage of cloud-native features. In this case, the company wants to modernize a monolithic application by breaking it into microservices. This process aligns with the Refactor strategy, which is aimed at modernizing and re-architecting applications. Rehost, Repurchase, and Replatform do not involve the level of re-architecting needed to move from a monolithic to a microservices architecture.

AWS Snowball Edge offers configurations that are either storage-optimized or compute-optimized, providing flexibility for different data migration and processing needs. It supports local processing and data transfer to AWS, catering to scenarios that require heavy storage or compute resources. AWS Snowcone and DataSync do not offer these optimizations, and Storage Gateway focuses on hybrid cloud storage.