CLF-C02 Amazon Web Services AWS Certified Cloud Practitioner Free Practice Exam Questions (2026 Updated)

Reserved Instances and Savings Plans are the most cost-effective purchasing options for a compute workload that is steady, predictable, and uninterruptible. Reserved Instances provide a significant discount compared to On-Demand Instances, and Savings Plans offer flexible and consistent savings on EC2 usage. Both options require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. On-Demand Instances are suitable for short-term, irregular, or unpredictable workloads, but they are more expensive than Reserved Instances or Savings Plans. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. Dedicated Hosts and Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware. References: Instance purchasing options, Amazon EC2 Pricing, 4 Ways to Purchase Amazon EC2 Instances

Amazon Elastic Container Service (Amazon ECS) is a highly scalable, fast container management service that allows you to run, stop, and manage Docker containers on a cluster of Amazon EC2 instances or a serverless environment powered by AWS Fargate. It provides secure, reliable, and scalable operations for containers, allowing users to deploy containers in a highly secure and reliable manner. Amazon Aurora is a relational database service, Amazon Athena is an interactive query service, and Amazon Polly is a text-to-speech service. Therefore, the correct answer is Amazon ECS.

Amazon S3 is a service that provides durable storage for static content and infinitely scalable data storage infrastructure at the lowest cost. Amazon S3 is an object storage service that allows you to store and retrieve any amount of data from anywhere on the internet. Amazon S3 offers industry-leading scalability, availability, and performance, as well as 99.999999999% (11 9s) of durability and multi-AZ resilience. Amazon S3 also provides various storage classes that offer different levels of performance and cost optimization, such as S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access (S3 Standard-IA), S3 One Zone-Infrequent Access (S3One Zone-IA), and S3 Glacier456. Amazon S3 is ideal for storing static content, such as images, videos, documents, and web pages, as well as building data lakes, backup and archive solutions, big data analytics, and machine learning applications456. References: 4: Cloud Storage on AWS, 5: Object Storage - Amazon Simple Storage Service (S3) - AWS, 6: Amazon S3 Documentation

When a company moves from on-premises IT architecture to the AWS Cloud, it gains several benefits:

A. Reduced or eliminated tasks for hardware troubleshooting, capacity planning, and procurement: In an on-premises environment, companies must maintain their own hardware, which involves procuring servers, configuring them, managing capacity, and troubleshooting hardware failures. Moving to the AWS Cloud eliminates or greatly reduces these tasks since AWS is responsible for the underlying infrastructure.

E. Faster deployment of new features and applications: AWS provides scalable resources and automation tools that allow companies to deploy applications faster. Services like AWS Elastic Beanstalk, AWS CloudFormation, and AWS Lambda help streamline the deployment process, enabling quicker time-to-market for new features and applications.

Why other options are not suitable:

B. Elimination of the need for trained IT staff: While the cloud reduces certain operational burdens, it does not eliminate the need for skilled IT professionals to manage cloud services, ensure proper configurations, handle security, and manage applications.

C. Automatic security configuration of all applications that are migrated to the cloud: AWS provides security tools and services, but security configurations and management still require input from the customer to tailor them to specific application requirements.

D. Elimination of the need for disaster recovery planning: While AWS offers robust disaster recovery options, companies must still plan and implement disaster recovery strategies, such as backups and multi-region deployments.

According to the AWS shared responsibility model, the customer is responsible for the security in the cloud, which includes configuring firewalls and networks. AWS provides security groups and network access control lists (NACLs) as firewall features that customers can use to control the traffic to andfrom their AWS resources. Customers are also responsible for managing their own virtual private clouds (VPCs), subnets, route tables, internet gateways, and other network components. AWS is responsible for the security of the cloud, which includes the physical security of the facilities, thehost operating system and virtualization layer, and the AWS global network infrastructure12. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Shared responsibility model - Amazon Web Services: Risk and Compliance

Amazon EC2 On-Demand Instances are ideal for unpredictable workloads that do not require a long-term commitment. This option allows users to pay for compute capacity by the hour or second, with no long-term commitments. It is suitable for short-term, spiky, or unpredictable workloads that cannot be interrupted and require flexibility. Option A is better suited for Reserved Instances, Option B is ideal for Spot Instances, and Option D is more suited for Reserved Instances due to cost optimization for long-term use.

"There is no long-term commitment required when you purchase On-Demand Instances. You pay only for the seconds that your On-Demand Instances are in the running state, with a 60-second minimum. The price per second for a running On-Demand Instance is fixed, and is listed on the Amazon EC2 Pricing, On-Demand Pricing page. We recommend that you use On-Demand Instances for applications with short-term, irregular workloads that cannot be interrupted."https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-on-demand-instances.html

Global reach is a cloud computing advantage that a company can apply when it uses AWS Regions to increase application availability to users in different countries. Global reach refers tothe ability to deploy applications and services in multiple geographic locations around the world, and to serve customers with low latency and high performance. AWS has the largest and most reliable global infrastructure of any cloud provider, with 25 Regions and 81 Availability Zones across the Americas, Europe, Asia Pacific, Africa, and the Middle East123. By using AWS Regions, a company can choose the best location for its application based on customer proximity, compliance requirements, and disaster recovery strategies23. References: 1: AWS Global Infrastructure - Amazon Web Services (AWS), 2: Regions and Availability Zones - Amazon Elastic Compute Cloud, 3: AWS Infrastructure: Regions and Availability Zones Explained

AWS Direct Connect is a cloud service solution that makes it easy to establish a dedicated network connection from your premises to AWS. Using AWS Direct Connect, you can establish private connectivity between AWS and your datacenter, office, or colocation environment, which in many cases can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections12. References: 1: Dedicated Network Connection - AWS Direct Connect - AWS, 2: What is AWS Direct Connect? - AWS Direct Connect

AWS Secrets Manager is a service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Users and applications retrieve secrets with a call to Secrets Manager APIs, eliminating the need to hardcode sensitive information in plain text. Secrets Manager offers secret rotation with built-in integration for Amazon RDS, Amazon Redshift, Amazon DocumentDB, and other AWS services1. You can also extend Secrets Manager to rotate other types of secrets, such as credentials for Oracle, SQL Server, or MongoDB databases, by using custom AWS Lambda functions2. Secrets Manager enables you to control access to secrets using fine-grained permissions and audit secret rotation centrally for resources in the AWS Cloud, third-party services, and on-premises3. Therefore, AWS Secrets Manager supports the requirement of rotating database user credentials with the least amount of operational overhead, compared to the other options. References:

What Is AWS Secrets Manager? - AWS Secrets Manager

Rotating Your AWS Secrets Manager Secrets - AWS Secrets Manager

AWS Secrets Manager Features - AWS Secrets Manager

Amazon Redshiftis a fully managed data warehouse service that enables users to analyze large amounts of data quickly and cost-effectively. It is designed specifically for online analytical processing (OLAP) and is optimized for complex queries against large datasets. Amazon Redshift uses columnar storage, data compression, and massively parallel processing (MPP) to handle petabyte-scale data warehouse environments.

A. Amazon RDS: Incorrect, as it is a managed relational database service for online transaction processing (OLTP) workloads, not specifically designed for data warehousing.

B. Amazon DynamoDB: Incorrect, as it is a NoSQL database service for fast and flexible data storage, not a data warehouse.

D. Amazon Aurora: Incorrect, as it is a MySQL- and PostgreSQL-compatible relational database designed for high performance and availability for OLTP workloads, not data warehousing.

AWS Cloud References:

Amazon Redshift

AWS Identity and Access Management (IAM) is a web service that helps you securely control access to AWS resources. You can use IAM to create and manage AWS users and groups, and use permissions to allow and deny their access to AWS resources. IAM is always provided at nocharge12. References: 1: AWS Identity and Access Management (IAM) - Amazon Web Services (AWS), 2: Which aws service is always provided at no charge? - Brainly.in

On-Demand Instances are the most cost-efficient pricing model for an uninterruptible workload that runs once a year for 24 hours. On-Demand Instances let you pay for compute capacity by the hour or second, depending on which instances you run. No long-term commitments or up-front payments are required. You can increase or decrease your compute capacity to meet the demands of your application and only pay the specified hourly rates for the instance you use1. This model is suitable for developing/testing applications with short-term or unpredictable workloads2. The other pricing models are not cost-efficient for this use case. Reserved Instances and Savings Plans require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. They provide significant discounts compared to On-Demand Instances, but they are not flexible or scalable for workloads that run only once a year12. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. They are recommended for applications that have flexible start and end times, or that are only feasible at very low compute prices12. Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware12. References: Amazon EC2 – Secure and resizable compute capacity – AWS, Amazon EC2 - How AWS Pricing Works

AWS CloudFormation is a service that allows developers to model and provision their AWS infrastructure in a repeatable and declarative way, using code and templates. AWS CloudFormation enables developers to define the resources they need for their development and production environments, such as compute, storage, network, and application services, and automate their creation and configuration. AWS CloudFormation also provides features such as change sets, nested stacks, and rollback triggers to help developers manage and update their infrastructure safely and efficiently12. References:

AWS CloudFormation

What is AWS CloudFormation?

Amazon EC2 (Elastic Compute Cloud)provides scalable computing capacity in the AWS Cloud, allowing customers to run virtual servers (instances) with different configurations of CPU, memory, storage, and networking capacity. This flexibility is ideal for applications that require specific infrastructure configurations, such as custom marketing and order-processing applications.

A. AWS Lambda: Incorrect, as it is a serverless compute service that automatically manages the computing resources needed to run code but does not offer the flexibility of choosing different instance types.

B. Amazon Cognito: Incorrect, as it is used for user authentication and authorization, not for deploying applications.

C. Amazon Athena: Incorrect, as it is an interactive query service for analyzing data in Amazon S3 using standard SQL.

AWS Cloud References:

Amazon EC2

Amazon FSx for Windows File Server is a fully managed file server that supports Microsoft workloads and file systems, including the SMB protocol. It provides features such as user quotas, end-user file restore, and Microsoft Active Directory integration. Amazon EFS is a fully managed file system that supports the NFS protocol, not SMB. Amazon FSx for Lustre is a fully managed file system that supports high-performance computing workloads, not Microsoft workloads. Amazon EBS is a block storage service that does not provide a file system or SMB support. References: Amazon FSx for Windows File Server, Amazon FSx for Lustre, Amazon EFS, Amazon EBS

Amazon EC2 instance store provides temporary block-level storage for your EC2 instance. This storage is located on disks that are physically attached to the host computer. Instance store is ideal for temporary storage of information that changes frequently, such as buffers, caches, scratch data,and other temporary content. It can also be used to store temporary data that you replicate across a fleet of instances, such as a load-balanced pool of web servers. An instance store consists of one or more instance store volumes exposed as block devices. The size of an instance store as well as the number of devices available varies by instance type and instance size. The virtual devices for instance store volumes are ephemeral[0-23]. Instance types that support one instance store volume have ephemeral0. Instance types that support two or more instance store volumes have ephemeral0, ephemeral1, and so on. Instance store pricing Instance store volumes are included as part of the instance’s usage cost. The data on an instance store volume persists even if the instance is rebooted. However, the data does not persist if the instance is stopped, hibernated, or terminated. When the instance is stopped, hibernated, or terminated, every block of the instance store volume is cryptographically erased. Therefore, do not rely on instance store volumes for valuable, long-term data. If you need to retain the data stored on an instance store volume beyond the lifetime of the instance, you need to manually copy that data to more persistent storage, such as an Amazon EBS volume, an Amazon S3 bucket, or an Amazon EFS file system. There are some events that can result in your data not persisting throughout the lifetime of the instance. The following table indicates whether data on instance store volumes is persisted during specific events, for both virtualized and bare metal instances1. References: Amazon EC2 instance store - Amazon Elastic Compute Cloud

On-Demand Instances are ideal for workloads that require flexibility, offering compute capacity with no upfront cost, allowing users to pay by the second for the instances they use. This makes it suitable for applications with short-term, spiky, or unpredictable workloads that cannot be interrupted. Reserved Instances require long-term commitments, Spot Instances can be interrupted, and Dedicated Instances are for specific hardware requirements, making On-Demand the correct choice for uninterruptible and flexible instance usage.

 Deploying the application in multiple Availability Zones is the best way to ensure high availability for the application. Availability Zones are isolated locations within an AWS Region that are engineered to be fault-tolerant from failures in other Availability Zones. By deploying the application in multiple Availability Zones, the company can reduce the impact of outages and increase the resilience of the application. Deploying the application in a single Availability Zone, on AWS Direct Connect, or on Reserved Instances does not provide the same level of high availability as deploying the application in multiple Availability Zones. Source: Availability Zones

 The AWS service or feature that the company should use to categorize and track AWS usage cost based on business categories is cost allocation tags. Cost allocation tags are key-value pairs that users can attach to AWS resources to organize and track their AWS costs. Users can use cost allocation tags to filter and group their AWS costs by categories such as project, department, environment, or application. Users can also use cost allocation tags to generate detailed billing reports that show the costs associated with each tag3. AWS Organizations, AWS Security Hub, and AWS Cost and Usage Report are other AWS services or features that can help users with different aspects of their AWS usage, such as managing multiple accounts, monitoring security issues, or analyzing billing data, but they do not enable users to categorize and track AWS costs based on business categories.

According to theAWS Shared Responsibility Model, customers are responsible for managing their data, classifying their assets, and using AWS's identity and access management tools to apply the appropriate permissions. Implementingmulti-factor authentication (MFA) for IAM user accountsis a customer responsibility to enhance the security of their accounts and protect against unauthorized access.

A. Apply security patches for Amazon S3 infrastructure devices: Incorrect, as AWS is responsible for managing and patching the underlying infrastructure, including storage devices.

B. Provide physical security for AWS data centers: Incorrect, as AWS is responsible for the physical security of its data centers.

C. Install operating system updates on Lambda@Edge: Incorrect, as AWS manages the underlying infrastructure for Lambda@Edge, including operating system updates.

AWS Cloud References:

AWS Shared Responsibility Model

According to the AWS shared responsibility model, the customer is responsible for security in the cloud, which includes the tasks of managing data encryption and granting least privilege access to IAM users. Data encryption is the process of transforming data into an unreadable format that canonly be accessed with a key or a password. The customer must decide whether to encrypt their data at rest (when it is stored on AWS) or in transit (when it is moving between AWS and the customer or between AWS services). The customer must also choose the encryption method, algorithm, and key management solution that best suit their needs. AWS provides various services and features that support data encryption, such as AWS Key Management Service (AWS KMS), AWS Certificate Manager (ACM), and AWS Encryption SDK5 IAM users are entities that represent the people or applications that interact with AWS resources and services. The customer must grant the IAM users the minimum permissions that they need to perform their tasks, and avoid giving them unnecessary or excessive access. This is known as the principle of least privilege, and it helps reduce the risk of unauthorized or malicious actions. The customer can use IAM policies, roles, groups, and permissions boundaries to manage the access of IAM users.

AWS Marketplace is a digital catalog that offers thousands of software products and solutions from independent software vendors (ISVs) and AWS partners. Customers can use AWS Marketplace to find, buy, and deploy software on AWS. Some of the benefits of using AWS Marketplace are:

Speed of business: You can quickly and easily discover and deploy software that meets your business needs, without having to go through lengthy procurement processes. You can also use AWS Marketplace to test and compare different solutions before making a purchase decision.

Fewer legal objections: You can benefit from standardized contract terms and conditions that are pre-negotiated between AWS and the ISVs. This reduces the time and effort required to review and approve legal agreements.

 The AWS Well-Architected Framework helps you understand the pros and cons of decisions you make while building systems on AWS. By using the Framework, you will learn architectural best practices for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. The Framework consists of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization2.

Amazon EC2 Auto Scaling is an AWS service that can help users reduce the number of Amazon EC2 instances that run when application usage is low. Amazon EC2 Auto Scaling allows users to create scaling policies that automatically adjust the number of EC2 instances based on the demand or a schedule. EC2 Instance Savings Plans, Spot Instances, and Reserved Instances are instance purchasing options that can help users save money on EC2 usage, but they do not automatically scale the number of instances according to the application usage .

Amazon RDS is a service that makes it easy to set up, operate, and scale a relational database in the cloud. Amazon RDS supports MySQL as one of the database engines. By using Amazon RDS with a MySQL database, the company can offload the tasks of patching the database and taking backup snapshots to AWS. Amazon RDS automatically patches the database software and operating system of the database instances. Amazon RDS also automatically backs up the database and retains the backups for a user-defined retention period. The company can also restore the database to any point in time within the retention period. Deploying MySQL database server clusters onAmazon EC2 instances, using an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances, or migrating all the MySQL database data to Amazon S3 are not the best options to meet the requirements. These options would not automate the tasks of patching the database and taking backup snapshots, and would require more operational overhead from the company3

Amazon EC2 is the AWS service that requires the customer to be fully responsible for applying operating system patches. Amazon EC2 is a service that provides secure, resizable compute capacity in the cloud. Customers can launch virtual servers called instances and choose from various configurations of CPU, memory, storage, and networking resources1. Customers have full control and access to their instances, which means they are also responsible for managing and maintaining them, including applying operating system patches2. Customers can use AWS Systems Manager Patch Manager, a feature of AWS Systems Manager, to automate the process of patching their EC2 instances with both security-related updates and other types of updates3.

A company wants an AWS service to collect and process 10 TB of data locally and transfer the data to AWS. The company has intermittent connectivity.

Which AWS service will meet these requirements?

AWS Database Migration Service (AWS DMS)

AWS DataSync

AWS Backup

AWS Snowball Edge

Answer: D

The correct answer is D. AWS Snowball Edge.

AWS Snowball Edge is a physical device that can be used to collect and process data locally and then transfer it to AWS. It is designed for situations where there is limited or intermittent network connectivity, or where bandwidth costs are high.AWS Snowball Edge can store up to 80 TB of data and has compute and storage capabilities to run applications on the device1.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS.It does not collect or process data locally, nor does it work offline2.

AWS DataSync is a service that helps transfer data between on-premises storage systems and AWS storage services.It does not collect or process data locally, and it requires a network connection to work3.

AWS Backup is a service that helps automate and manage backups across AWS services. It does not collect or process data locally, nor does it transfer data to AWS.It only backs up data that is already in AWS4.

The AWS service that meets the requirement of providing a managed machine learning (ML) service that can recommend products based on a customer’s previous behaviors is Amazon Personalize. Amazon Personalize is a fully managed service that enables developers to create personalized recommendations for customers using their own data. Amazon Personalize can automatically process and examine the data, identify what is meaningful, select the right algorithms, and train andoptimize a personalized recommendation model2. Amazon SageMaker, Amazon Pinpoint, and Amazon Comprehend are other AWS services related to machine learning, but they do not provide the specific functionality of product recommendation.

Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud. It allows you to launch virtual servers, called instances, with different configurations of CPU, memory, storage, and networking resources. AWS Compute Optimizer analyzes the specifications and utilization metrics of your Amazon EC2 instances and generates recommendations for optimal instance types that can reduce costs and improve performance. You can view the recommendations on the AWS Compute Optimizer console or the Amazon EC2 console12.

Amazon RDS, Amazon Lightsail, and AWS Step Functions are not supported by AWS Compute Optimizer. Amazon RDS is a managed relational database service that lets you set up, operate, and scale a relational database in the cloud. Amazon Lightsail is an easy-to-use cloud platform that offers everything you need to build an application or website, plus a cost-effective, monthly plan. AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly3 .

Amazon Aurora is a fully managed MySQL-compatible database that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora is part of the Amazon Relational Database Service (Amazon RDS) family, which means it inherits the benefits of a fully managed service, such as automated backups, patches, scaling, monitoring, and security. Amazon Aurora also offers up to five times the throughput of standard MySQL, as well as high availability, durability, and fault tolerance with up to 15 read replicas, cross-Region replication, and self-healing storage. Amazon Aurora is compatible with the latest versions of MySQL, as well as PostgreSQL, and supports various features and integrations that enhance its functionality and usability123

 Amazon Aurora, Amazon RDS, AWS — Amazon Aurora Overview

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.

 Amazon CloudWatch and AWS CloudTrail are the AWS services that allow users to monitor and retain records of account activities that include governance, compliance, and auditing. Amazon CloudWatch is a service that collects and tracks metrics, collects and monitors log files, and sets alarms. AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. Amazon GuardDuty, AWS Shield, and AWS WAF are AWS services that provide security and protection for AWS resources, but they do not monitor and retain records of account activities. These concepts are explained in the AWS Cloud Practitioner Essentials course3.

Amazon EC2 usage is calculated by either the hour or the second based on the size of the instance, operating system, and the AWS Region where the instances are launched. Pricing is per instance-hour consumed for each instance, from the time an instance is launched until it’s terminated or stopped. Each partial instance-hour consumed is billed per-second for Linuxinstances and as a full hour for all other instance types1. Therefore, the customer will be billed for 3 hours and 6 minutes for running an On-Demand Amazon Linux EC2 instance for 3 hours, 5 minutes, and 6 seconds. References: Understand Amazon EC2 instance-hours billing

 Amazon Cognito is a service that provides identity management for mobile and web applications, allowing users to sign up, sign in, and access AWS resources with different identity providers. AWS Security Hub is a service that provides a comprehensive view of the security posture of AWS accounts and resources. AWS Shield is a service that provides protection against distributed denial of service (DDoS) attacks. AWS WAF is a web application firewall that helps protect web applications from common web exploits.

AWS Enterprise Support provides customers with a designated technical account manager (TAM) who is a single point of contact for all technical and operational issues. The TAM provides consultative architectural and operational guidance delivered in thecontext of the customer’s applications and use-cases to help them achieve the greatest value from AWS. The TAM also helps customers with proactive services, such as strategic business reviews, security improvement programs, guided Well-Architected reviews, cost optimization workshops, and more1.

A full set of AWS Trusted Advisor checks is not an additional benefit of AWS Enterprise Support, as it is also included in the AWS Business Support plan2. AWS Trusted Advisor is a tool that provides best practice recommendations for cost optimization, performance, security, fault tolerance, and service limits.

Phone, email, and chat access to cloud support engineers 24 hours a day, 7 days a week is not an additional benefit of AWS Enterprise Support, as it is also included in the AWS Business Support plan2. Cloud support engineers can help customers with technical issues, such as troubleshooting, configuration, usage, and service features.

A consultative review and architecture guidance for the company’s applications is not an additional benefit of AWS Enterprise Support, as it is also included in the AWS Business Support plan2. Customers can request a consultative review from a solutions architect who will provide best practices and recommendations based on the customer’s use-cases and goals.

 Basing the selection of Amazon EC2 instance types on past utilization patterns is a way to right size the AWS resources and optimize the performance and cost. Using Amazon S3 Lifecycle policies to move objects that users access infrequently to lower-cost storage tiers is another way to reduce the storage costs and align them with the business value of the data. These two actions are recommended by the AWS Cost Optimization Pillar1. Switching from Amazon RDS to Amazon DynamoDB is not necessarily a cost-saving action, as it depends on the use case and the data model. Using Multi-AZ deployments for Amazon RDS is a way to improve the availability and durability of the database, but it also increases the cost. Replacing existing Amazon EC2 instanceswith AWS Elastic Beanstalk is a way to simplify the deployment and management of the application, but it does not affect the cost of the underlying EC2 instances.

 AWS has the ability to achieve lower pay-as-you-go pricing by aggregating usage across hundreds of thousands of users. This means that AWS can leverage its massive scale and purchasing power to reduce the costs of infrastructure, hardware, software, and operations. These savings are then passed on to the customers, who only pay for the resources they use. You can learn more about the AWS pricing model from [this webpage] or [this digital course].

AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. You can use CloudTrail to identify who accessed an AWS service and what action was performed for a given time period. Amazon CloudWatch, AWS Security Hub, and Amazon Inspector are AWS services that provide different types of monitoring and security capabilities.

Amazon Personalize is a service that provides real-time personalized recommendations based on the user’s behavior, preferences, and context. It can also incorporate metadata such as product color and brand to generate more relevant recommendations. Amazon Comprehend is a natural language processing (NLP) service that can analyze text for entities, sentiments, topics, and more. Amazon Forecast is a service that provides accurate time-series forecasting based on machine learning. Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning.

A is correct because Amazon Lex is the AWS service that helps users build conversational interfaces into applications using voice and text. B is incorrect because Amazon Transcribe is the AWS service that helps users convert speech to text. C is incorrect because Amazon Comprehend is the AWS service that helps users analyze text using natural language processing. D is incorrect because Amazon Timestream is the AWS service that helps users collect, store, and process time series data.