Pass the Amazon Web Services AWS Certified Specialty SCS-C02 Questions and answers with CertsForce

Amazon S3 is a service that provides scalable, durable, and secure object storage. You can use Amazon S3 to store and retrieve any amount of data from anywhere on the web1

AWS Elastic Load Balancing is a service that distributes incoming application or network traffic across multiple targets, such as EC2 instances, containers, or IP addresses. You can use Elastic Load Balancing to increase the availability and fault tolerance of your applications2

Elastic Load Balancing supports access logging, which captures detailed information about requests sent to your load balancer. Each log contains information such as the time the request was received, the client’s IP address, latencies, request paths, and server responses. You can use access logs to analyze traffic patterns and troubleshoot issues3

You can configure your load balancer to store access logs in an Amazon S3 bucket that you specify. You can also specify the interval for publishing the logs, which can be 5 or 60 minutes. The logs are stored in a hierarchical folder structure by load balancer name, IP address, year, month, day, and time.

Amazon Athena is a service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to manage and you pay only for the queries that you run.

You can use Athena to search the access logs that are stored in your S3 bucket. You can create a table in Athena that maps to your S3 bucket and then run SQL queries on the table. You can also use the Athena console or API to view and download the query results.

You can also use Athena to create queries for the required metrics, such as the number of requests per cipher or protocol. You can then publish the metrics to Amazon CloudWatch, which is a service that monitors and manages your AWS resources and applications. You can use CloudWatch to collect and track metrics, create alarms, and automate actions based on the state of your resources.

By using this solution, you can meet the requirements of ensuring that all the load balancer logs are centralized and searchable for auditing and that metrics are generated to show which ciphers are in use.

This answer is correct because ensuring that the security groups allow bidirectional communication between the Lambda function and the EC2 instance will resolve the error. The error indicates that the Lambda function cannot connect to the database, which might be due to firewall rules blocking the traffic. By allowing outbound connections from the Lambda function and inbound connections to the EC2 instance, the security engineer can enable the rotation function to access and update the database credentials.

Using Amazon EventBridge to create a rule for ACM Certificate Approaching Expiration events and configuring an SNS topic as the target provides an operationally efficient way to monitor and alert on certificate expirations. This method leverages AWS's native capabilities for event monitoring and notifications, reducing the need for custom implementations and ensuring timely alerts.

Understand the Problem:

The EC2 instance profile role has the AWS managedReadOnlyAccesspolicy.

This policy does not include permissions forkms:Decrypt, which is required to decrypt the objects encrypted with a customer-managed KMS key.

Review S3 Bucket Policy and Object Permissions:

Verify that the S3 bucket policy allows access for the IAM role associated with the EC2 instance.

Ensure that there are no conflicting bucket or object ACLs.

Addkms:DecryptPermission:

Attach an inline policy to the EC2 instance IAM role.

This policy should grantkms:Decryptaccess for the specific KMS key used to encrypt the S3 objects.

Example Inline Policy:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Action": "kms:Decrypt",

"Resource": "arn:aws:kms:::key/"

}

]

}

Test the Configuration:

Attempt to read the file from the encrypted S3 bucket to ensure that the issue is resolved.

AWS KMS Key Policies and Permissions

IAM Permissions for Using AWS KMS Keys

You can use IAM CloudTrail to get a history of IAM API calls and related events for your account. This history includes calls made with the IAM Management Console, IAM Command Line Interface, IAM SDKs, and other IAM services.

Options A,B and D are invalid becau56se you need to ensure that you use the services of CloudTrail, IAM Config, IAM Credential Reports

For more information on Cloudtrail, please visit the below URL:

http://docs.IAM.amazon.com/IAMcloudtrail/latest/userguide/cloudtrail-user-guide.html

IAM Config is a service that enables you to assess, audit and evaluate the configurations of your IAM resources. Config continuously monitors and records your IAM resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. With Config, you can review changes in configurations and relationships between IAM resources, dive into detailed resource configuration histories, and determine your overall compliance against the configurations specified in your internal guidelines. This enables you to simplify compliance auditing, security analysis, char management and operational troubleshooting.

For more information on the config service, please visit the below URL

https://IAM.amazon.com/config/

You can generate and download a credential report that lists all users in your account and the status of their various credentials, including passwords, access keys, and MFA devices. You can get a credential report from the IAM Management Console, the IAM SDKs and Command Line Tools, or the IAM API.

For more information on Credentials Report, please visit the below URL:

http://docs.IAM.amazon.com/IAM/latest/UserGuide/id credentials_getting-report.html

The correct answer is: CloudTrail, IAM Config, IAM Credential Reports Submit your Feedback/Queries to our Experts

The correct combination of conditions to add to the IAM policy is A and C. These conditions will ensure that IAM users must use MFA to access certain services in the AWS production account, and that each session will expire after 2 hours.

Option A: “Bool” : { “aws:MultiFactorAuthPresent” : “true” } is a valid condition that checks if the principal (the IAM user) has authenticated with MFA before making the request. This condition will enforce MFA for the IAM users to accessthe specified services.This condition key is supported by all AWS services that support IAM policies1.

Option B: “Bool” : { “aws:MultiFactorAuthPresent” : “false” } is the opposite of option A. This condition will allow access only if the principal has not authenticated with MFA, which is not the desired requirement.This condition key is supported by all AWS services that support IAM policies1.

Option C: “NumericLessThan” : { “aws:MultiFactorAuthAge” : “7200” } is a valid condition that checks if the time since the principal authenticated with MFA is less than 7200 seconds (2 hours). This condition will enforce the session duration limit for the IAM users.This condition key is supported by all AWS services that support IAM policies1.

Option D: “NumericGreaterThan” : { “aws:MultiFactorAuthAge” : “7200” } is the opposite of option C. This condition will allow access only if the time since the principal authenticated with MFA is more than 7200 seconds (2 hours), which is not the desired requirement.This condition key is supported by all AWS services that support IAM policies1.

Option E: “NumericLessThan” : { “MaxSessionDuration” : “7200” } is not a valid condition key. MaxSessionDuration is a property of an IAM role, not a condition key. It specifies the maximum session duration (in seconds) for the role, which can be between 3600 and 43200 seconds (1 to 12 hours).This property can be set when creating or modifying arole, but it cannot be used as a condition in a policy2.