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

An Application Load Balancer is the Elastic Load Balancing option designed for application-layer traffic, including HTTP and HTTPS. It acts as a single point of contact for clients and distributes incoming application requests across healthy registered targets in one or more Availability Zones. Targets can include Amazon EC2 instances, IP addresses, and Lambda functions. Application Load Balancers also support content-based routing through listener rules, such as routing by URL path or host name. A Network Load Balancer primarily operates at the transport layer and is intended for protocols such as TCP, TLS, UDP, and TCP_UDP, although it can carry traffic used by applications. The question explicitly identifies incoming HTTP and HTTPS requests, making the Application Load Balancer the best answer. A NAT gateway enables resources, commonly those in private subnets, to initiate outbound network connections; it does not distribute inbound requests among application targets. AWS Transit Gateway connects VPCs and on-premises networks through a central network hub. It likewise is not an HTTP or HTTPS request-distribution service.

AWS Lambda is a serverless compute service that is ideal for applications with short-running processes and low-frequency invocation, as it only charges for the compute time consumed. Since the application is invoked only a few times a day and runs for less than 5 minutes, Lambda is the most cost-effective option. ECS, EKS, and EC2 are better suited for more persistent workloads and would be more costly in this use case.

Comprehensive and Detailed Explanation From AWS Cloud Documentation:

Amazon AppStream 2.0, now documented under the name Amazon WorkSpaces Applications, is the fully managed application-streaming service that provides users with on-demand access to desktop applications from supported devices and locations. Applications run on AWS-managed streaming resources, while the visual output is streamed to the user through a client or an HTML5-capable web browser. This lets an organization centrally manage application versions and provide access without installing the full application locally on every endpoint. Therefore, option A is correct. Amazon Lightsail is a simplified cloud platform for deploying virtual servers, containers, databases, and web applications; it is not an end-user desktop application streaming service. AWS Resource Access Manager shares supported AWS resources across accounts or within AWS Organizations, rather than streaming applications to users. AWS Client VPN provides a managed VPN connection into AWS or connected networks, but it does not host and stream desktop applications. For exam preparation, recognize both names: older questions commonly use “Amazon AppStream 2.0,” while current AWS documentation presents the service as Amazon WorkSpaces Applications.

Reducing Costs with AWS Cloud:

Capacity Adjustment (B):

Elasticity: AWS allows you to scale your resources up or down based on demand, which means you only pay for what you use. This reduces the cost of over-provisioning resources.

Auto Scaling: Automatically adjusts compute capacity based on usage, ensuring cost efficiency.

Eliminating On-Premises Costs (E):

No Infrastructure Maintenance: By using AWS, businesses do not need to invest in physical infrastructure or handle maintenance, reducing both capital and operational expenditures.

Managed Services: AWS offers managed services that reduce the need for in-house technical staff to manage and maintain infrastructure.

AWS Cloud Economics Center

AWS Benefits

The People perspective in the AWS Cloud Adoption Framework (AWS CAF) serves as a bridge between technology and business, accelerating the cloud journey to help organizations more rapidly evolve to a culture of continuous growth, learning, and where change becomes business-as-normal, with focus on culture, organizational structure, leadership, and workforce1. References: People Perspective - AWS Cloud Adoption Framework

The concept of granting access only to the resources needed to perform a task is known as least privilege access. This is a security best practice in IAM that helps to reduce the risk of unauthorized or malicious actions. By applying least privilege access, you can limit the permissions of your IAM users, groups, and roles to the minimum required for their specific tasks. You can also use conditions, permissions boundaries, and IAM Access Analyzer to further restrict and verify access. References: Security best practices in IAM, Policies and permissions in IAM, Use IAM policies to grant the least privileges required to access Amazon RDS resources, How to Design a Least Privilege Architecture in AWS, 12 Azure & AWS IAM Security Best Practices

For workloads running 24/7 for a year, Standard Reserved Instances provide a significant discount compared to On-Demand pricing. Choosing the " All Upfront " payment option maximizes the cost savings as AWS offers the highest discount for upfront payments. Convertible Reserved Instances provide flexibility to change the instance type but usually at a slightly higher cost than Standard Reserved Instances. Compute Savings Plans offer cost savings, but in this scenario, the best optimization would be a combination of Standard Reserved Instances with All Upfront payment. Spot Instances are not suitable due to their interruptible nature.

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.

AWS Cloud Development Kit (AWS CDK) is an open source software development framework that allows you to model and provision your cloud infrastructure using familiar programming languages such as TypeScript, Python, Java, and .NET. AWS CDK enables you to use the expressive power of your favorite language to define your cloud resources, such as compute, storage, network, and application services. AWS CDK also provides a library of high-level constructs that represent AWS services and best practices. AWS CDK uses AWS CloudFormation in the background to deploy your resources in a safe and repeatable manner12. References:

AWS Cloud Development Kit (CDK) – TypeScript and Python are Now Generally Available

AWS Cloud Development Kit (AWS CDK) - Introduction to DevOps on AWS

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 all of the services offered in the AWS Cloud, such as the global network, the hardware, the software, and the facilities. The customer is responsible for properly configuring the security of the provided service, such as the guest operating system, the application software, the data, and the network traffic. For abstracted services, such as Amazon RDS, AWS operates the infrastructure layer, the operating system, and the database software, while the customer is responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriate permissions12.

Therefore, the tasks that are the customer’s responsibility are:

Perform client-side data encryption: The customer is responsible for encrypting their data before sending it to AWS, and decrypting it after receiving it from AWS. This ensures that the data is protected in transit and at rest. AWS provides various encryption options, such as AWS Key Management Service (AWS KMS), AWS CloudHSM, and AWS Certificate Manager (ACM)3.

Configure IAM credentials: The customer is responsible for creating and managing IAM users, groups, roles, and policies that control the access to AWS resources and services. IAM credentials include user names, passwords, access keys, and permissions4.

The tasks that are not the customer’s responsibility are:

Establish the global infrastructure: AWS is responsible for building and maintaining the global network of regions, availability zones, and edge locations that provide low latency, high availability, and fault tolerance for the AWS Cloud5.

Secure edge locations: AWS is responsible for protecting the physical security of the edge locations, which are sites that deliver cached content to end users with improved performance6.

Patch Amazon RDS DB instances: AWS is responsible for applying patches and updates to the operating system and the database software of the Amazon RDS DB instances, which are managed relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and Amazon Aurora. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Shared responsibility model - Amazon Web Services: Risk and Compliance

Encryption - Amazon Web Services (AWS)

What Is IAM? - AWS Identity and Access Management

Global Infrastructure - Amazon Web Services (AWS)

Amazon CloudFront Features - Content Delivery Network (CDN)

[What Is Amazon Relational Database Service (Amazon RDS)? - Amazon Relational Database Service]

AWS Secrets Manageris the most secure way to store and manage sensitive information, such as passwords, database credentials, and API keys. Secrets Manager allows you to:

Securely store and rotate secrets.

Automatically manage secret rotation without disrupting applications.

Integrate with AWS services and third-party applications to retrieve secrets securely.

Why other options are not suitable:

A. Store passwords in an Amazon S3 bucket: Although S3 is secure, it is not designed for secret management. It lacks built-in secret rotation and fine-grained access control for sensitive data.

B. Store passwords as AWS CloudFormation parameters: CloudFormation is used for managing infrastructure as code, not for securely storing passwords.

C. Store passwords in AWS Storage Gateway: A service for hybrid storage integration, not suitable for storing secrets or passwords.

AWS App Runneris a fully managed service that makes it easy for developers to quickly deploy containerized web applications and APIs at scale. It can automatically build container images from source code or directly from a container registry, and then deploy the application without requiring deep container knowledge or expertise.

AWS App Runner meets the requirements of:

Automatically creating container images from source code.

Managing the deployment of the containerized application with minimal operational overhead.

Why other options are not suitable:

A. AWS Elastic Beanstalk: While it simplifies deploying and scaling web applications, it does not automatically create container images from source code.

B. Amazon Elastic Container Service (Amazon ECS): ECS is a container orchestration service that requires more manual setup for creating and managing container images and deployments.

D. Amazon EC2: This service provides virtual servers but does not offer managed container image creation or deployment.

AWS IAM Identity Center (formerly AWS Single Sign-On or AWS SSO)provides a single sign-on experience for accessing AWS accounts and applications by integrating with third-party identity providers (IdPs) like Microsoft Active Directory, Okta, or any SAML 2.0-compliant IdP. This service allows employees to log in once using their existing corporate credentials managed by the third-party IdP and gain access to multiple AWS accounts and services without needing separate AWS credentials.

Why other options are not suitable:

A. AWS Directory Service: Provides a managed Microsoft Active Directory, but does not directly support single sign-on integration with third-party IdPs.

B. Amazon Cognito: Primarily used for managing authentication for web and mobile apps, not for integrating third-party IdPs for AWS management access.

D. AWS Resource Access Manager (AWS RAM): Used for sharing AWS resources across accounts, not for identity and access management.

AnApplication Load Balancer (ALB)is the best choice for distributing incoming HTTP/HTTPS traffic evenly across multiple Amazon EC2 instances. It operates at theapplication layer (Layer 7 of the OSI model) and is specifically designed to handle HTTP and HTTPS traffic, which is ideal for web applications.

Here is why the ALB is the correct choice:

Layer 7 Load Balancing: The ALB works at the application layer and provides advanced routing capabilities based on content. It can inspect the incoming HTTP requests and make decisions on how to route traffic to various backend targets, which include Amazon EC2 instances, containers, or Lambda functions. This is particularly useful for web applications where you need to make routing decisions based on HTTP headers, paths, or query strings.

HTTP and HTTPS Support: The ALB natively supports HTTP and HTTPS protocols, making it the ideal load balancer for web-based applications. It can efficiently manage and route these types of traffic and handle tasks such as SSL/TLS termination.

Health Checks: The ALB can continuously monitor the health of the registered EC2 instances and only route traffic to healthy instances. This ensures high availability and reliability of the web application.

Path-based and Host-based Routing: The ALB can route traffic based on the URL path or host header. This feature allows the same load balancer to serve multiple applications hosted on different domains or subdomains.

Integration with Auto Scaling: The ALB can integrate seamlessly with Amazon EC2 Auto Scaling. As the number of EC2 instances increases or decreases, the ALB automatically includes the new instances in its traffic distribution pool, ensuring even distribution of incoming requests.

WebSocket Support: It also supports WebSocket and HTTP/2 protocols, which are essential for modern web applications that require real-time, bidirectional communication.

Why other options are not suitable:

A. Amazon EC2 Auto Scaling: This service is used to automatically scale the number of EC2 instances up or down based on specified conditions. However, it does not provide load balancing capabilities. It works well with load balancers but does not handle the distribution of incoming traffic by itself.

C. Gateway Load Balancer: This is designed to distribute traffic to virtual appliances like firewalls, IDS/IPS systems, or deep packet inspection systems. It operates at Layer 3 (Network Layer) and is not ideal for distributing HTTP/HTTPS traffic to EC2 instances.

D. Network Load Balancer: This load balancer operates at Layer 4 (Transport Layer) and is designed to handle millions of requests per second while maintaining ultra-low latencies. It is best suited for TCP, UDP, and TLS traffic but does not provide advanced Layer 7 routing features required for HTTP/HTTPS traffic.

Economies of scale are the cost advantages that result from increasing the scale of production or operation. In cloud computing, economies of scale are achieved by pooling resources and sharing them among multiple users, which reduces the unit cost of computing and storage. One of the benefits of economies of scale in cloud computing is increased speed and agility, which means the ability to deploy applications faster and respond to changing business needs more quickly. Cloud computing allows users to access computing resources on demand, without having to invest in expensive infrastructure or wait for lengthy provisioning processes. This enables users to scale up or down as needed, experiment with new ideas, and deliver value to customers faster123. References:

Economics of Cloud Computing - GeeksforGeeks

What is Cloud Economics? | VMware Glossary

ECONOMIES OF SCALE WITH CLOUD COMPUTING & SERVICES PRACTICE - IDC-Online

An access key is a pair of long-term credentials that consists of an access key ID and a secret access key. An access key is used to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK). An access key allows a user to access the AWS account through a CLI, which is a tool that enables users to interact with AWS services using commands in a terminal or a script12.

The other options are not correct, because:

To access the AWS account as the AWS account root user, a user needs the email address and password associated with the account. The root user has complete access to all AWS resources and services in the account. However, it is not recommended to use the root user for everyday tasks3.

To access the AWS account through the AWS Management Console, a user needs a user name and password. The console is a web-based interface that allows users to manage their AWS resources and services using a graphical user interface4.

To access all of a company’s AWS accounts, a user needs to use AWS Organizations, which is a service that enables users to centrally manage and govern multiple AWS accounts. AWS Organizations allows users to create groups of accounts and apply policies to them5.

Managing access keys for IAM users - AWS Identity and Access Management

What Is the AWS Command Line Interface? - AWS Command Line Interface

AWS account root user - AWS Identity and Access Management

What Is the AWS Management Console? - AWS Management Console

What Is AWS Organizations? - AWS Organizations

Amazon Elastic File System (Amazon EFS) is a fully managed, scalable, and serverless NFS (Network File System) file system specifically designed for use with AWS services and on-premises resources. It enables companies to create and configure file systems that can be accessed from multiple Amazon EC2instances simultaneously, making it ideal for use cases that require shared file storage for AWS compute services.

Why Amazon EFS Fits the Requirements:

Managed Service: Amazon EFS is a fully managed file storage service that simplifies the process of setting up and managing NFS file systems.

Scalability and Elasticity: EFS automatically scales to accommodate the storage needs of applications, without the need to provision or manage storage capacity.

NFS Compatibility: Amazon EFS natively supports the NFSv4 protocol, making it compatible with a wide range of applications and workloads that require NFS access.

Integration with AWS Compute Services: EFS integrates seamlessly with Amazon EC2 and other AWS services, providing a shared file storage solution across multiple instances and services within the AWS cloud environment.

Why Other Options Do Not Fit:

A. Amazon Elastic Block Store (Amazon EBS): While EBS provides block-level storage that can be attached to individual EC2 instances, it is not a file system, nor does it provide managed NFS file storage capabilities. EBS is designed for single-instance access rather than shared file access across multiple instances.

B. AWS Storage Gateway Tape Gateway: Tape Gateway is designed for archival purposes and allows companies to store virtual tape backups in Amazon S3 or Glacier. It does not support NFS file storage and is not intended for regular compute access.

C. Amazon S3 Glacier Flexible Retrieval: Amazon S3 Glacier is optimized for data archiving and long-term storage of infrequently accessed data, but it does not provide NFS file system capabilities, nor is it suitable for high-performance access needs associated with compute services.

For more details, you can refer to theAWS Cloud Practitioner Essentialscontent, specifically the modules onStorage Serviceswhere Amazon EFS is covered as the managed NFS file storage solution offered by AWS.

AWS Organizationsis a no-cost service that helps you centrally manage and govern your environment as you grow and scale your AWS resources. With AWS Organizations, you can create new AWS accounts, invite existing accounts to join your organization, and apply policies to groups of accounts for governance. While some features within AWS services incur additional costs, using AWS Organizations itself does not add any direct costs.

A. Amazon SageMaker: Incorrect, as it is a fully managed service for building, training, and deploying machine learning models, and it is not free.

B. AWS Config: Incorrect, as while it offers some free-tier usage, it generally incurs charges for recording and evaluating configuration changes.

D. Amazon CloudWatch: Incorrect, as certain CloudWatch metrics, custom metrics, and alarms have associated costs beyond the free tier.

AWS Cloud References:

AWS Organizations

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while customers are responsible for the security in the cloud. This means that AWS is responsible for the physical servers, networking, and operating system that run DynamoDB, while customers are responsible for the security of their data and access to the database. Customers need to manage database access permissions, such as creating and managing AWS Identity and Access Management (IAM) policies and roles, and using encryption and key management options to protect their data123. References: 1: Shared Responsibility Model - Amazon Web Services (AWS), 2: Security in Amazon DynamoDB - Amazon DynamoDB, 3: AWS Shared Responsibility Model - Introduction to DevOps …

AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer premises. By providing local access to AWS managed infrastructure, AWS Outposts enables customers to build and run applications on premises using the same programming interfaces as in AWS Regions, while using local compute and storage resources for lower latency and local data processing needs. An Outpost is a pool of AWS compute and storage capacity deployed at a customer site. AWS operates, monitors, and manages this capacity as part of an AWS Region. You can create subnets on your Outpost and specify them when you create AWS resources such as EC2 instances, EBS volumes, ECS clusters, and RDS instances. Instances in Outpost subnets communicate with other instances in the AWS Region using private IP addresses, all within the same VPC. Outposts solutions allow you to extend and run native AWS services on premises, and isavailable in a variety of form factors, from 1U and 2U Outposts servers to 42U Outposts racks, and multiple rack deployments. With AWS Outposts, you can run some AWS services locally and connect to a broad range of services available in the local AWS Region2. AWS Outposts is a hybrid cloud deployment model that uses AWS Outposts as part of the application deployment infrastructure. Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud, and public cloud services with orchestration between the platforms. Hybrid cloud provides businesses with greater flexibility, more deployment options, and optimized costs. By using AWS Outposts, customers can benefit from the fully managed infrastructure, services, APIs, and tools of AWS on premises, while still having access to the full range of AWS services available in the Region for a truly consistent hybrid experience3. References: On-Premises Private Cloud - AWS Outposts Family - AWS, What is AWS Outposts? - AWS Outposts

AWS Marketplace is an online store that helps customers find, buy, and immediately start using the software and services that run on AWS. Customers can choose from a wide range of software products in popular categories such as security, networking, storage, machine learning, business intelligence, database, and DevOps. Customers can also use AWS Marketplace to purchase software as a service (SaaS) solutions that are integrated with AWS. Customers can benefit from simplified procurement, billing, and deployment processes, as well as flexible pricing options and free trials. Customers can also leverage AWS Marketplace to discover and subscribe to solutions offered by AWS Partners, such as the security software vendor mentioned in the question. References: AWS Marketplace, [AWS Marketplace: Software as a Service (SaaS)], [AWS Cloud Practitioner Essentials: Module 6 - AWS Pricing, Billing, and Support]

AWS CodeDeployis a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Lambda, and on-premises servers. CodeDeploy makes it easy to release new features, helps avoid downtime during application deployment, and handles the complexity of updating applications in a scalable and reliable manner.

Why other options are not suitable:

A. Amazon AppFlow: A service to automate data flows between AWS and SaaS applications, not for application deployment.

C. AWS PrivateLink: A service to securely access AWS services from your virtual private cloud (VPC), not related to application deployments.

D. Amazon EKS Distro: A Kubernetes distribution for running Kubernetes clusters, not specifically designed for automated deployments.

The AWS Support plan that provides the full set of AWS Trusted Advisor checks at the lowest cost is theAWS Business Supportplan. The AWS Business Support plan includes access to the complete set of Trusted Advisor checks, which cover areas such as cost optimization, security, performance, fault tolerance, and service limits. This plan is specifically designed to support production workloads and includes 24/7 access to cloud support engineers, response times for impaired systems, and other enhanced technical support features.

AWS Developer Support, while more affordable, only provides limited Trusted Advisor checks, specifically around Service Limits and basic Security checks. Full access to all Trusted Advisor checks is only available with Business Support and higher-tier plans, such as Enterprise On-Ramp and Enterprise Support

AVPC (Virtual Private Cloud)in AWS is a logically isolated network that you define in the AWS Cloud. Within a VPC, you can create subnets, route tables, network gateways, and more.

D. Internet Gateway: An internet gateway is a component that allows communication between resources in a VPC and the internet.

E. Subnet: A subnet is a range of IP addresses in your VPC. Subnets can be public or private and are essential for organizing resources within a VPC.

Why other options are not suitable:

A. Amazon API Gateway: Used for creating and managing APIs, not a direct component of a VPC.

B. Amazon S3 buckets and objects: Amazon S3 is a storage service; its resources are globally accessible and not confined to a VPC.

C. AWS Storage Gateway: A hybrid cloud storage service, not a core component of a VPC.

Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create collections of EC2 instances, called Auto Scaling groups, and specify the minimum and maximum number of instances in each group. You can also define scaling policies that adjust the number of instances based on the demand on your application. Amazon EC2 Auto Scaling helps you improve the performance, reliability, and cost-efficiency of your EC2workloads123. References: 1: VDI Desktops - Amazon WorkSpaces Family - AWS, 2: What is Amazon EC2 Auto Scaling? - Amazon EC2 Auto Scaling, 3: Discover Amazon EC2 Auto Scaling Unit | Salesforce Trailhead

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. You can start small with no commitments, and scale to petabytes for less than a tenth of the cost of traditional solutions. Amazon Redshift does not require manual hardware and software management, as AWS handles all the tasks such as provisioning, patching, backup, recovery, failure detection, and repair12. Amazon Redshift also offers serverless capabilities, which allow you to access and analyze data without any configurations or capacity planning. Amazon Redshift automatically scales the data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads3. Therefore, Amazon Redshift meets the requirements of the company, compared to the other options.

The other options are not suitable for the company’s requirements, because:

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. It is not designed for petabyte-scale data warehousing or analytics4.

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It is not designed for petabyte-scale data warehousing or analytics5.

Amazon ElastiCache is a fully managed in-memory data store and cache service that supports Redis and Memcached. It is not designed for petabyte-scale data warehousing or analytics.

What is Amazon Redshift? - Amazon Redshift

Amazon Redshift Features - Amazon Redshift

Amazon Redshift Serverless - Amazon Redshift

What Is Amazon DocumentDB (with MongoDB compatibility)? - Amazon DocumentDB (with MongoDB compatibility)

What Is Amazon Neptune? - Amazon Neptune

[What Is Amazon ElastiCache for Redis? - Amazon ElastiCache for Redis]

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora PostgreSQL-Compatible Edition. It is a fully managed service that automatically scales up and down based on the application’s actual needs. Amazon Aurora Serverless is suitable for applications that have infrequent, intermittent, or unpredictable database workloads, and that do not require the full power and range of options provided by provisioned Aurora clusters. Amazon Aurora Serverless eliminates the need to provision and manage database instances, and reduces the management overhead associated with database administration tasks such as scaling, patching, backup, and recovery. References: Amazon Aurora Serverless, Choosing between Aurora Serverless and provisioned Aurora DB clusters, [AWS Cloud Practitioner Essentials: Module 4 - Databases in the Cloud]

AWS IAM Access Analyzer is a service that helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, that are shared with an external entity. This lets you identify unintended access to your resources and data, which is a security risk. IAM Access Analyzer uses logic-based reasoning to analyze the resource-based policies in your AWS environment. For each instance of a resource shared outside of your account, IAM Access Analyzer generates a finding. Findings include information about the access and the external principal granted to it345. References: 3: Using AWS Identity and Access Management Access Analyzer, 4: IAM Access Analyzer - Amazon Web Services (AWS), 5: Welcome - IAM Access Analyzer