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| Number of exam questions | Type | Provider | Related |
| 15 | Free | Leads4Pass | AWS Certified Professional |
Question 1:
A company uses a load balancer to distribute traffic to Amazon EC2 instances in a single Availability Zone. The company is concerned about security and wants a solutions architect to re-architect the solution to meet the following requirements:
1.
Inbound requests must be filtered for common vulnerability attacks.
2.
Rejected requests must be sent to a third-party auditing application.
3.
All resources should be highly available.
Which solution meets these requirements?
A. Configure a Multi-AZ Auto Scaling group using the application\’s AMI. Create an Application Load Balancer (ALB) and target the previously created Auto Scaling group. Amazon Inspector is used to monitor traffic to the ALB and EC2 instances. Create a web ACL in WAF. Create an AWS WAF using the web ACL and ALB. Use an AWS Lambda function to frequently push the Amazon Inspector report to the third-party auditing application.
B. Configure an Application Load Balancer (ALB) and add the EC2 instances as targets Create a web ACL in WAF. Create an AWS WAF using the web ACL and ALB name and enable logging with Amazon CloudWatch Logs. Use an AWS Lambda function to frequently push the logs to the third-party auditing application.
C. Configure an Application Load Balancer (ALB) along with a target group adding the EC2 instances as targets. Create an Amazon Kinesis Data Firehose with the destination of the third-party auditing application. Create a web ACL in WAF. Create an AWS WAF using the web ACL and ALB then enable logging by selecting the Kinesis Data Firehose as the destination. Subscribe to AWS Managed Rules in AWS Marketplace, choosing the WAF as the subscriber.
D. Configure a Multi-AZ Auto Scaling group using the application\’s AMI. Create an Application Load Balancer (ALB) and target the previously created Auto Scaling group. Create an Amazon Kinesis Data Firehose with a destination of the third-party auditing application. Create a web ACL in WAF. Create an AWS WAF using the WebACL and ALB then enable logging by selecting the Kinesis Data Firehose as the destination. Subscribe to AWS Managed Rules in AWS Marketplace, choosing the WAF as the subscriber.
Correct Answer: D
https://docs.aws.amazon.com/waf/latest/developerguide/marketplace-managed-rule-groups.html
Question 2:
A delivery company is running a serverless solution in the AWS Cloud. The solution manages user data, delivery information, and past purchase details. The solution consists of several microservices. The central user service stores sensitive data in an Amazon DynamoDB table. Several of the other microservices store a copy of parts of the sensitive data in different storage services.
The company needs the ability to delete user information upon request. As soon as the central user service deletes a user, every other microservice must also delete its copy of the data immediately.
Which solution will meet these requirements?
A. Activate DynamoDB Streams on the DynamoDB table. Create an AWS Lambda trigger for the DynamoDB stream that will post events about user deletion in an Amazon Simple Queue Service (Amazon SQS) queue. Configure each microservice to poll the queue and delete the user from the DynamoDB table.
B. Set up DynamoDB event notifications on the DynamoDB table. Create an Amazon Simple Notification Service (Amazon SNS) topic as a target for the DynamoDB event notification. Configure each microservice to subscribe to the SNS topic and delete the user from the DynamoDB table.
C. Configure the central user service to post an event on a custom Amazon EventBridge event bus when the company deletes a user. Create an EventBridge rule for each microservice to match the user deletion event pattern and invoke logic in the microservice to delete the user from the DynamoDB table.
D. Configure the central user service to post a message on an Amazon Simple Queue Service (Amazon SQS) queue when the company deletes a user. Configure each microservice to create an event filter on the SQS queue and delete the user from the DynamoDB table.
Correct Answer: C
Question 3:
A company that designs multiplayer online games wants to expand its user base outside of Europe. The company transfers a significant amount of UDP traffic to Keep all the live and interactive sessions of the games The company has plans for rapid expansion and wants to build its architecture to provide an optimized online experience to its users
Which architecture will meet these requirements with the LOWEST latency for users\’\’
A. Set up a Multi-AZ environment in a single AWS Region Use Amazon CloudFront to cache user sessions
B. Set up environments in multiple AWS Regions Create an accelerator in AWS Global Accelerator, and add endpoints from different Regions to it
C. Set up environments in multiple AWS Regions Use Amazon Route 53. and select latency-based routing
D. Set up a Multi-AZ environment in a single AWS Region. Use AWS Lambda@Edge to update sessions closer to the users
Correct Answer: B
Question 4:
A company has a three-tier application running on AWS with a web server, an application server, and an Amazon RDS MySQL DB instance. A solutions architect is designing a disaster recovery (OR) solution with an RPO of 5 minutes.
Which solution will meet the company\’s requirements?
A. Configure AWS Backup to perform cross-region backups of all servers every 5 minutes. Reprovision the three tiers in the DR Region from the backups using AWS CloudFormation in the event of a disaster.
B. Maintain another running copy of the web and application server stack in the DR Region using AWS CloudFormation drill detection. Configure cross-region snapshots of the DB instance to the DR Region every 5 minutes. In the event of a disaster, restore the DB instance using the snapshot in the DR Region.
C. Use Amazon EC2 Image Builder to create and copy AMIs of the web and application server to both the primary and DR Regions. Create a cross-region read replica of the DB instance in the DR Region. In the event of a disaster, promote the read replica to become the master and reprovision the servers with AWS CloudFormation using the AMIs.
D. Create AMts of the web and application servers in the DR Region. Use scheduled AWS Glue jobs to synchronize the DB instance with another DB instance in the DR Region. In the event of a disaster, switch to the DB instance in the DR Region and reprovision the servers with AWS CloudFormation using the AMIs.
Correct Answer: C
deploying a brand new RDS instance will take >30 minutes. You will use EC2 Image builder to put the AMIs into the new region, but not use Image builder to LAUNCH them.
Question 5:
A company is running an application in the AWS Cloud. The application runs on containers in an Amazon Elastic Container Service (Amazon ECS) cluster. The ECS tasks use the Fargate launch type. The application\’s data is relational and is stored in Amazon Aurora MySQL.
To meet regulatory requirements, the application must be able to recover to a separate AWS Region in the event of an application failure. In case of a failure, no data can be lost.
Which solution will meet these requirements with the LEAST amount of operational overhead?
A. Provision of an Aurora Replica in a different Region.
B. Set up AWS DataSync for continuous replication of the data to a different Region.
C. Set up AWS Database Migration Service (AWS DMS) to perform a continuous replication of the data to a different Region.
D. Use Amazon Data Lifecycle Manager {Amazon DLM) to schedule a snapshot every 5 minutes.
Correct Answer: A
Provision of an Aurora Replica in a different Region will meet the requirement of the application being able to recover to a separate AWS Region in the event of an application failure, and no data can be lost, with the least amount of operational overhead.
Question 6:
A company uses Amazon S3 to store files and images in a variety of storage classes. The company\’s S3 costs have increased substantially during the past year.
A solutions architect needs to review data trends for the past 12 months and identify the appropriate storage class for the objects.
Which solution will meet these requirements?
A. Download AWS Cost and Usage Reports for the last 12 months of S3 usage. Review AWS Trusted Advisor recommendations for cost savings.
B. Use S3 storage class analysis. Import data trends into an Amazon QuickSight dashboard to analyze storage trends.
C. Use Amazon S3 Storage Lens. Upgrade the default dashboard to include advanced metrics for storage trends.
D. Use Access Analyzer for S3. Download the Access Analyzer for S3 report for the last 12 months. Import the CSV file to an Amazon QuickSight dashboard.
Correct Answer: C
Storage class: After you configure a filter, you\’ll start seeing data analysis based on the filter in the Amazon S3 console in 24 to 48 hours. However, storage class analysis observes the access patterns of a filtered data set for 30 days or longer to gather information for analysis before giving a result
Storage Lens: All S3 Storage Lens metrics are retained for a period of 15 months. However, metrics are only available for queries for a specific duration, which depends on your metrics selection. This duration cannot be modified. Free metrics are available for queries for a 14-day period, and advanced metrics are available for queries for a 15-month period.
You have to upgrade regardless to query up to 12 months
Question 7:
A company uses a service to collect metadata from applications that the company hosts on-premises. Consumer devices such as TVs and internet radios access the applications. Many older devices do not support certain HTTP headers and exhibit errors when these headers are present in responses. The company has configured an on-premises load balancer to remove the unsupported headers from responses sent to older devices, which the company identified by the User-Agent headers.
The company wants to migrate the service to AWS, adopt serverless technologies, and retain the ability to support older devices. The company has already migrated the applications into a set of AWS Lambda functions.
Which solution will meet these requirements?
A. Create an Amazon CloudFront distribution for the metadata service. Create an Application Load Balancer (ALB). Configure the CloudFront distribution to forward requests to the ALB. Configure the ALB to invoke the correct Lambda function for each type of request. Create a CloudFront function to remove the problematic headers based on the value of the User-Agent header.
B. Create an Amazon API Gateway REST API for the metadata service. Configure API Gateway to invoke the correct Lambda function for each type of request. Modify the default gateway responses to remove the problematic headers based on the value of the User-Agent header.
C. Create an Amazon API Gateway HTTP API for the metadata service. Configure API Gateway to invoke the correct Lambda function for each type of request. Create a response mapping template to remove the problematic headers based on the value of the User-Agent. Associate the response data mapping with the HTTP API.
D. Create an Amazon CloudFront distribution for the metadata service. Create an Application Load Balancer (ALB). Configure the CloudFront distribution to forward requests to the ALB. Configure the ALB to invoke the correct Lambda function for each type of request. Create a Lambda@Edge function that will remove the problematic headers in response to viewer requests based on the value of the User-Agent header.
Correct Answer: D
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/lambda-examples.html
Question 8:
A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.
The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory\’s internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.
How should the company deploy the ML model to meet these requirements?
A. Set up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2 instances to take still images of the streams. Upload the images to an Amazon S3 bucket. Deploy a SageMaker endpoint with the ML model. Invoke an AWS Lambda function to call the inference endpoint when new images are uploaded. Configure the Lambda function to call the local API when a defect is detected.
B. Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.
C. Order an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon EC2 instance on the Snowball device. Take still images from the cameras. Run inference from the EC2 instance. Configure the instance to call the local API when a defect is detected.
D. Deploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on the premises. Deploy the ML model to the Amazon Monitron devices. Use Amazon Monitron health state alarms to call the local API from an AWS Lambda function when a defect is detected.
Correct Answer: B
The company should use AWS IoT Greengrass to deploy the ML model to the local server and provide local feedback to the factory workers. AWS IoT Greengrass is a service that extends AWS cloud capabilities to local devices, allowing
them to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks1. AWS IoT Greengrass also supports ML inference at the edge, enabling
devices to run ML models locally without requiring internet connectivity2.
The other options are not correct because:
Setting up an Amazon Kinesis video stream from each IP camera to AWS would not work if the factory\’s internet connectivity is down. It would also incur unnecessary costs and latency to stream video data to the cloud and back. Ordering an
AWS Snowball device would not be a scalable or cost-effective solution for deploying the ML model. AWS Snowball is a service that provides physical devices for data transfer and edge computing, but it is not designed for continuous
operation or frequent updates3.
Deploying Amazon Monitron devices on each IP camera would not work because Amazon Monitron is a service that monitors the condition and performance of industrial equipment using sensors and machine learning, not cameras4.
References:
https://aws.amazon.com/greengrass
https://docs.aws.amazon.com/greengrass/v2/developerguide/use-machine-learning-inference.html
https://aws.amazon.com/snowball
https://aws.amazon.com/monitron
Question 9:
A company is designing an AWS environment for a manufacturing application. The application has been successful with customers, and the application\’s user base has increased. The company has connected the AWS environment to the company\’s on-premises data center through a 1 Gbps AWS Direct Connect connection. The company has configured BGP for the connection.
The company must update the existing network connectivity solution to ensure that the solution is highly available, fault-tolerant, and secure.
Which solution will meet these requirements MOST cost-effectively?
A. Add a dynamic private IP AWS Site-to-Site VPN as a secondary path to secure data in transit and provide resilience for the Direct Connect connection. Configure MACsec to encrypt traffic inside the Direct Connect connection.
B. Provision another Direct Connect connection between the company\’s on-premises data center and AWS to increase the transfer speed and provide resilience. Configure MACsec to encrypt traffic inside the Direct Connect connection.
C. Configure multiple private VIFs. Load balance data across the VIFs between the on-premises data center and AWS to provide resilience.
D. Add a static AWS Site-to-Site VPN as a secondary path to secure data in transit and to provide resilience for the Direct Connect connection.
Correct Answer: A
Question 10:
A solution architect needs to deploy an application on a fleet of Amazon EC2 instances. The EC2 instances run in private subnets in An Auto Scaling group. The application is expected to generate logs at a rate of 100 MB each second on each of the EC2 instances.
The logs must be stored in an Amazon S3 bucket so that an Amazon EMR cluster can consume them for further processing The logs must be quickly accessible for the first 90 days and should be retrievable within 48 hours thereafter.
What is the MOST cost-effective solution that meets these requirements?
A. Set up an S3 copy job to write logs from each EC2 instance to the S3 bucket with S3 Standard storage Use a NAT instance within the private subnets to connect to Amazon S3. Create S3 Lifecycle policies to move logs that are older than 90 days to S3 Glacier.
B. Set up an S3 sync job to copy logs from each EC2 instance to the S3 bucket with S3 Standard storage Use a gateway VPC endpoint for Amazon S3 to connect to Amazon S3. Create S3 Lifecycle policies to move logs that are older than 90 days to S3 Glacier Deep Archive
C. Set up an S3 batch operation to copy logs from each EC2 instance to the S3 bucket with S3 Standard storage Use a NAT gateway with the private subnets to connect to Amazon S3 Create S3 Lifecycle policies to move logs that are older than 90 days to S3 Glacier Deep Archive
D. Set up an S3 sync job to copy logs from each EC2 instance to the S3 bucket with S3 Standard storage Use a gateway VPC endpoint for Amazon S3 to connect to Amazon S3. Create S3 Lifecycle policies to move logs that are older than 90 days to the S3 Glacier
Correct Answer: C
Question 11:
A company is running an application on Amazon EC2 instances in three environments; development, testing, and production. The company uses AMIs to deploy the EC2 instances. The company builds the AMIs by using custom deployment scripts and infrastructure orchestration tools for each release in each environment.
The company is receiving errors in its deployment process. Errors appear during operating system package downloads and application code installation from a third-party Git hosting service. The company needs deployments to become more reliable across all environments.
Which combination of steps will meet these requirements? (Select THREE).
A. Mirror the application code to an AWS CodeCommit Git repository. Use the repository to build EC2 AMIs.
B. Produce multiple EC2 AMIs. one for each environment, for each release.
C. Produce one EC2 AMI for each release for use across all environments.
D. Mirror the application code to a third-party Git repository that uses Amazon S3 storage. Use the repository for deployment.
E. Replace the custom scripts and tools with AWS CodeBuild. Update the infrastructure deployment process to use EC2 Image Builder.
Correct Answer: ACE
Question 12:
An international delivery company hosts a delivery management system on AWS. Drivers use the system to upload confirmation of delivery. Confirmation includes the recipient\’s signature or a photo of the package with the recipient. The driver\’s handheld device uploads signatures and photos through FTP to a single Amazon EC2 instance. Each handheld device saves a file in a directory based on the signed-in user, and the file name matches the delivery number. The EC2 instance then adds metadata to the file after querying a central database to pull delivery information. The file is then placed in Amazon S3 for archiving.
As the company expands, drivers report that the system is rejecting connections. The FTP server is having problems because of dropped connections and memory issues. In response to these problems, a system engineer schedules a cron task to reboot the EC2 instance every 30 minutes. The billing team reports that files are not always in the archive and that the central system is not always updated.
A solutions architect needs to design a solution that maximizes scalability to ensure that the archive always receives the files and that systems are always updated. The handheld devices cannot be modified, so the company cannot deploy a new application.
Which solution will meet these requirements?
A. Create an AMI of the existing EC2 instance. Create an Auto Scaling group of EC2 instances behind an Application Load Balancer. Configure the Auto Scaling group to have a minimum of three instances.
B. Use AWS Transfer Family to create an FTP server that places the files in the Amazon Elastic File System (Amazon EFS). Mount the EFS volume to the existing EC2 instance. Point the EC2 instance to the new path for file processing.
C. Use AWS Transfer Family to create an FTP server that places the files in Amazon S3. Use an S3 event notification through Amazon Simple Notification Service (Amazon SNS) to invoke an AWS Lambda function. Configure the Lambda function to add the metadata and update the delivery system.
D. Update the handheld devices to place the files directly in Amazon S3. Use an S3 event notification through Amazon Simple Queue Service (Amazon SQS) to invoke an AWS Lambda function. Configure the Lambda function to add the metadata and update the delivery system.
Correct Answer: C
The files are then stored in an S3 bucket, this eliminates the need for the EC2 instance and FTP server, which are the sources of the scalability problems. An S3 event notification through Amazon Simple Notification Service (Amazon SNS) is used to invoke an AWS Lambda function. The Lambda function can then be configured to add the metadata and update the central system.
This approach will ensure that the archive always receives the files and that the central system is always updated. The use of SNS and Lambda functions will allow for automatic metadata addition and updating of the central system, which eliminates the need for the EC2 instance and FTP server.
Question 13:
A company operates a proxy server on a fleet of Amazon EC2 instances. Partners in different countries use the proxy server to test the company\’s functionality. The EC2 instances are running in a VPC. and the instances have access to the internet.
The company\’s security policy requires that partners can access resources only from domains that the company owns.
Which solution will meet these requirements?
A. Create an Amazon Route 53 Resolver DNS Firewall domain list that contains the allowed domains. Configure a DNS Firewall rule group with a rule that has a high numeric value that blocks all requests. Configure a rule that has a low numeric value that allows requests for domains in the allowed list. Associate the rule group with the VPC.
B. Create an Amazon Route 53 Resolver DNS Firewall domain list that contains the allowed domains. Configure a Route 53 outbound endpoint. Associate the outbound endpoint with the VPC. Associate the domain list with the outbound endpoint.
C. Create an Amazon Route 53 traffic flow policy to match the allowed domains. Configure the traffic flow policy to forward requests that match the Route 53 Resolver. Associate the traffic flow policy with the VPC.
D. Create an Amazon Route 53 outbound endpoint. Associate the outbound endpoint with the VPC. Configure a Route 53 traffic flow policy to forward requests for allowed domains to the outbound endpoint. Associate the traffic flow policy with the VPC.
Correct Answer: A
The company should create an Amazon Route 53 Resolver DNS Firewall domain list that contains the allowed domains. The company should configure a DNS Firewall rule group with a rule that has a high numeric value that blocks all requests. The company should configure a rule that has a low numeric value that allows requests for domains in the allowed list.
The company should associate the rule group with the VPC. This solution will meet the requirements because the Amazon Route 53 Resolver DNS Firewall is a feature that enables you to filter and regulate outbound DNS traffic for your VPC. You can create reusable collections of filtering rules in DNS Firewall rule groups and associate them with your VPCs.
You can specify lists of domain names to allow or block, and you can customize the responses for the DNS queries that you block1. By creating a domain list with the allowed domains and a rule group with rules to allow or block requests based on the domain list, the company can enforce its security policy and control access to sites. The other options are not correct because Configuring a Route 53 outbound endpoint and associating it with the VPC would not help with filtering outbound DNS traffic.
A Route 53 outbound endpoint is a resource that enables you to forward DNS queries from your VPC to your network over AWS Direct Connect or VPN connections2. It does not provide any filtering capabilities. Creating a Route 53 traffic flow policy to match the allowed domains would not help with filtering outbound DNS traffic.
A Route 53 traffic flow policy is a resource that enables you to route traffic based on multiple criteria, such as endpoint health, geographic location, and latency3. It does not provide any filtering capabilities. Creating a Gateway Load Balancer (GWLB) would not help with filtering outbound DNS traffic.
A GWLB is a service that enables you to deploy, scale, and manage third-party virtual appliances such as firewalls, intrusion detection and prevention systems, and deep packet inspection systems in the cloud4. It does not provide any filtering capabilities.
References: https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/resolver-dns-firewall.html https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/resolver-outbound-endpoints.html https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/traffic-flow.html https://docs.aws.amazon.com/elasticloadbalancing/latest/gateway/introduction.html
Question 14:
A company is running an application on several Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer. The load on the application varies throughout the day, and EC2 instances are scaled in and out on a regular basis. Log files from the EC2 instances are copied to a central Amazon S3 bucket every 15 minutes. The security team discovered that log files are missing from some of the terminated EC2 instances.
Which set of actions will ensure that log files are copied to the central S3 bucket from the terminated EC2 instances?
A. Create a script to copy log files to Amazon S3, and store the script in a file on the EC2 instance. Create an Auto Scaling lifecycle hook and an Amazon EventBridge (Amazon CloudWatch Events) rule to detect lifecycle events from the Auto Scaling group. Invoke an AWS Lambda function on the autoscaling: EC2_INSTANCE_TERMINATING transition to send ABANDON to the Auto Scaling group to prevent termination, run the script to copy the log files, and terminate the instance using the AWS SDK.
B. Create an AWS Systems Manager document with a script to copy log files to Amazon S3. Create an Auto Scaling lifecycle hook and an Amazon EventBridge (Amazon CloudWatch Events) rule to detect lifecycle events from the Auto Scaling group. Invoke an AWS Lambda function on the autoscaling: EC2_INSTANCE_TERMINATING transition to call the AWS Systems Manager API SendCommand operation to run the document to copy the log files and send CONTINUE to the Auto Scaling group to terminate the instance.
C. Change the log delivery rate to every 5 minutes. Create a script to copy log files to Amazon S3, and add the script to EC2 instance user data. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to detect EC2 instance termination. Invoke an AWS Lambda function from the EventBridge (CloudWatch Events) rule that uses the AWS CLI to run the user-data script to copy the log files and terminate the instance.
D. Create an AWS Systems Manager document with a script to copy log files to Amazon S3. Create an Auto Scaling lifecycle hook that publishes a message to an Amazon Simple Notification Service (Amazon SNS) topic. From the SNS notification, call the AWS Systems Manager API SendCommand operation to run the document to copy the log files and send ABANDON to the Auto Scaling group to terminate the instance.
Correct Answer: B
Refer to the Default Result section
If the instance is terminating, both abandon and continue to allow the instance to terminate. However, abandon stops any remaining actions, such as other lifecycle hooks, and continue allows any other lifecycle hooks to complete.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/adding-lifecycle-hooks.html
https://github.com/aws-samples/aws-lambda-lifecycle-hooks-function
Question 15:
An external audit of a company\’s serverless application reveals IAM policies that grant too many permissions. These policies are attached to the company\’s AWS Lambda execution roles. Hundreds of the company\’s Lambda functions have broad access permissions, such as full access to Amazon S3 buckets and Amazon DynamoDB tables. The company wants each function to have only the minimum permissions that the function needs to complete its task.
A solutions architect must determine which permissions each Lambda function needs.
What should the solutions architect do to meet this requirement with the LEAST amount of effort?
A. Set up Amazon CodeGuru to profile the Lambda functions and search for AWS API calls. Create an inventory of the required API calls and resources for each Lambda function. Create new IAM access policies for each Lambda function. Review the new policies to ensure that they meet the company\’s business requirements.
B. Turn on AWS CloudTrail logging for the AWS account. Use AWS Identity and Access Management Access Analyzer to generate IAM access policies based on the activity recorded in the CloudTrail log. Review the generated policies to ensure that they meet the company\’s business requirements.
C. Turn on AWS CloudTrail logging for the AWS account. Create a script to parse the CloudTrail log, search for AWS API calls by Lambda execution role, and create a summary report. Review the report. Create IAM access policies that provide more restrictive permissions for each Lambda function.
D. Turn on AWS CloudTrail logging for the AWS account. Export the CloudTrail logs to Amazon S3. Use Amazon EMR to process the CloudTrail logs in Amazon S3 and produce a report of API calls and resources used by each execution role. Create a new IAM access policy for each role. Export the generated roles to an S3 bucket. Review the generated policies to ensure that they meet the company\’s business requirements.
Correct Answer: B
IAM Access Analyzer helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, shared with an external entity. This lets you identify unintended access to your resources and data, which is a security risk. IAM Access Analyzer identifies resources shared with external principals by using logic-based reasoning to analyze the resource-based policies in your AWS environment.
https://docs.aws.amazon.com/IAM/latest/UserGuide/ what-is-access- analyzer.html
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