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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SDLC Automation | 22% | - CI/CD pipeline design and implementation
|
| Topic 2: Monitoring and Logging | 15% | - Observability and metrics
|
| Topic 3: Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
|
| Topic 4: Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
|
| Topic 5: Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
|
| Topic 6: Incident and Event Management | 18% | - Operational response and recovery
|
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NEW QUESTION # 228
A company hosts a security auditing application in an AWS account. The auditing application uses an IAM role to access other AWS accounts. All the accounts are in the same organization in AWS Organizations.
A recent security audit revealed that users in the audited AWS accounts could modify or delete the auditing application's IAM role. The company needs to prevent any modification to the auditing application's IAM role by any entity other than a trusted administrator IAM role.
Which solution will meet these requirements?
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html?icmpid=docs_orgs SCPs (Service Control Policies) are the best way to restrict permissions at the organizational level, which in this case would be used to restrict modifications to the IAM role used by the auditing application, while still allowing trusted administrators to make changes to it. Options C and D are not as effective because IAM permission boundaries are applied to IAM entities (users, groups, and roles), not the account itself, and must be applied to all IAM entities in the account.
NEW QUESTION # 229
A company uses a pipeline in AWS CodePipeline to upload AWS CloudFormation templates to an Amazon S3 bucket. The pipeline uses the templates to deploy CloudFormation stacks that match the names of the templates.
The company has experienced issues when it tries to revert templates to a previous version. To prevent these issues, the company must have the ability to review template modifications before the modifications are deployed to production.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
The requirement is simply: review changes before production deployment, with the least operational overhead.
B is the lightest change: adding a Manual approval (review) action in CodePipeline creates a controlled gate before the deploy stage. It requires no new repositories, no new services, and no custom code-just pipeline configuration.
Why not the others:
A introduces additional moving parts (Git repo integration, PR workflow management, and CloudFormation Git sync). That's useful, but it's more operational overhead than necessary to satisfy "review before deploy." C requires custom Lambda logic to inspect templates and decide whether to proceed-more code to write, run, secure, and maintain.
D adds both Git integration and a manual approval step-again more overhead than just adding the approval gate.
NEW QUESTION # 230
A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform.
Which combination of steps will meet this requirement? (Select TWO.)
Answer: D,E
Explanation:
Amazon Redshift supports audit logging which can be configured to log user activity, including queries and user changes. The logs can be delivered to an S3 bucket (Option B), which is the standard location for Redshift audit logs.
While Redshift can send some logs to CloudWatch, the native audit logging is typically routed to S3. Creating a CloudWatch dashboard with a log widget (Option D) allows visualization of user activities from logs ingested into CloudWatch Logs or through custom processing.
Option A is invalid because CloudTrail does not capture Redshift query logs directly. Option C incorrectly assumes Redshift audit logs can be delivered directly to CloudWatch. Option E adds complexity by requiring Lambda and Athena unnecessarily when direct visualization in CloudWatch is simpler.
References:
Amazon Redshift Audit Logging
Visualizing Logs with Amazon CloudWatch Dashboards
NEW QUESTION # 231
A company requires its developers to tag all Amazon Elastic Block Store (Amazon EBS) volumes in an account to indicate a desired backup frequency. This requirement Includes EBS volumes that do not require backups. The company uses custom tags named Backup_Frequency that have values of none, dally, or weekly that correspond to the desired backup frequency. An audit finds that developers are occasionally not tagging the EBS volumes.
A DevOps engineer needs to ensure that all EBS volumes always have the Backup_Frequency tag so that the company can perform backups at least weekly unless a different value is specified.
Which solution will meet these requirements?
Answer: D
Explanation:
The following are the steps that the DevOps engineer should take to ensure that all EBS volumes always have the Backup_Frequency tag so that the company can perform backups at least weekly unless a different value is specified:
* Set up AWS Config in the account.
* Use a managed rule that returns a compliance failure for EC2::Volume resources that do not have a Backup Frequency tag applied.
* Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.
The managed ruleAWS::Config::EBSVolumesWithoutBackupTagwill return a compliance failure for any EBS volume that does not have the Backup_Frequency tag applied. The remediation action will then use the Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly to the EBS volume.
NEW QUESTION # 232
A company operates a fleet of Amazon EC2 instances that host critical applications and handle sensitive dat a. The EC2 instances must have up-to-date security patches to protect against vulnerabilities and ensure compliance with industry standards and regulations. The company needs an automated solution to monitor and enforce security patch compliance across the EC2 fleet.
Which solution will meet these requirements?
Answer: D
Explanation:
Option A is the most correct because it provides both: (1) automated patching and (2) compliance monitoring/enforcement across a fleet, using AWS-native services built for exactly this purpose.
AWS Systems Manager Patch Manager is designed to automate patching of managed instances using patch baselines, maintenance windows (or on-demand), and it produces compliance status for patching. It's the standard AWS service to apply OS/security patches at scale without SSH'ing into instances.
AWS Config can be used to evaluate and track compliance over time against defined rules, giving centralized visibility and continuous compliance assessment. With remediation, Config can invoke Systems Manager Automation documents to correct non-compliant resources or trigger patch actions (depending on the rule/remediation design). This meets the "monitor and enforce" requirement.
Why the other options don't meet requirements as well:
B is manual, doesn't scale well, and increases operational risk (key management, human error). It's not "automated monitoring and enforcement." C (replacing instances with new AMIs) can be part of an immutable infrastructure strategy, but by itself it does not provide compliance monitoring across the current fleet, and scaling policies based on CloudWatch metrics are unrelated to patch compliance. Also, patch cadence would depend on AMI pipelines and instance rotation rather than direct compliance enforcement.
NEW QUESTION # 233
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