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| Section | Weight | Objectives |
|---|---|---|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement data management strategies
|
| SDLC Automation | 22% | - Design and implement source code management strategies
|
| Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
|
| Incident and Event Response | 18% | - Design and implement chaos engineering practices
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
|
| High Availability and Disaster Recovery | 16% | - Design and implement high availability and scalability
|
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NEW QUESTION # 299
A company uses Amazon Elastic Container Registry (Amazon ECR) for all images of the company's containerized infrastructure. The company uses the pull through cache functionality with the /external prefix to avoid throttling when the company retrieves images from external image registries. The company uses AWS Organizations for its accounts.
Every image in the registry must be encrypted with a specific, pre-provisioned AWS Key Management Service (AWS KMS) key. The company's internally created images already comply with this policy. However, cached external images use server-side encryption with Amazon S3 managed keys (SSE-S3).
The company must remove the noncompliant cache repositories. The company must also implement a secure solution to ensure that all new pull through cache repositories are automatically encrypted with the required KMS key.
Which solution will meet these requirements?
Answer: C
Explanation:
For pull through cache repositories, Amazon ECR now supports repository creation templates that can be applied to a registry prefix, such as /external. These templates define default settings, including encryption configuration with a specific KMS key, tag immutability, scan on push, and more. When new cache repositories are auto-created under that prefix, they inherit the template settings automatically.
In this scenario, existing external cache repositories are noncompliant because they use SSE-S3. The company can delete those repositories (removing the noncompliant caches) and configure an ECR repository creation template for the /external prefix that specifies the required customer managed KMS key. As new images are pulled, ECR recreates the cache repositories under that prefix with KMS encryption using the specified key, guaranteeing compliance going forward.
Option A (AWS Config) would only detect noncompliance after creation and cannot enforce encryption at creation time. Option C (SCP) cannot directly control repository encryption properties. Option D misuses EventBridge; KMS cannot be a "target" that retroactively encrypts repositories.
Therefore, using an ECR repository creation template with the desired KMS key is the correct, automatic, and secure solution.
NEW QUESTION # 300
A company runs an application on Amazon EC2 instances. The company uses a series of AWS CloudFormation stacks to define the application resources. A developer performs updates by building and testing the application on a laptop and then uploading the build output and CloudFormation stack templates to Amazon S3. The developer's peers review the changes before the developer performs the CloudFormation stack update and installs a new version of the application onto the EC2 instances.
The deployment process is prone to errors and is time-consuming when the developer updates each EC2 instance with the new application. The company wants to automate as much of the application deployment process as possible while retaining a final manual approval step before the modification of the application or resources.
The company already has moved the source code for the application and the CloudFormation templates to AWS CodeCommit. The company also has created an AWS CodeBuild project to build and test the application.
Which combination of steps will meet the company's requirements? (Choose two.)
Answer: B,E
Explanation:
Explanation
A- https://docs.aws.amazon.com/codedeploy/latest/userguide/codedeploy-agent.html D - This option correctly utilizes AWS CodePipeline to invoke the CodeBuild job and create CloudFormation change sets. It adds a manual approval step before executing the change sets and starting the AWS CodeDeploy deployment. This ensures that the deployment process is automated while retaining the final manual approval step.
NEW QUESTION # 301
A company manages multiple AWS accounts by using AWS Organizations with OUS for the different business divisions, The company is updating their corporate network to use new IP address ranges. The company has 10 Amazon S3 buckets in different AWS accounts. The S3 buckets store reports for the different divisions. The S3 bucket configurations allow only private corporate network IP addresses to access the S3 buckets.
A DevOps engineer needs to change the range of IP addresses that have permission to access the contents of the S3 buckets The DevOps engineer also needs to revoke the permissions of two OUS in the company Which solution will meet these requirements?
Answer: A
Explanation:
The correct answer is C.
A comprehensive and detailed explanation is:
Option A is incorrect because creating a new SCP that has two statements, one that allows access to the new range of IP addresses for all the S3 buckets and one that denies access to the old range of IP addresses for all the S3 buckets, is not a valid solution. SCPs are not resource-based policies, and they cannot specify the S3 buckets or the IP addresses as resources or conditions. SCPs can only control the actions that can be performed by the principals in the organization, not the access to specific resources. Moreover, setting a permissions boundary for the OrganizationAccountAccessRole role in the two OUs to deny access to the S3 buckets is not sufficient to revoke the permissions of the two OUs, as there might be other roles or users in those OUs that can still access the S3 buckets.
Option B is incorrect because creating a new SCP that has a statement that allows only the new range of IP addresses to access the S3 buckets is not a valid solution, for the same reason as option A. SCPs are not resource-based policies, and they cannot specify the S3 buckets or the IP addresses as resources or conditions. Creating another SCP that denies access to the S3 buckets and attaching it to the two OUs is also not a valid solution, as SCPs cannot specify the S3 buckets as resources either.
Option C is correct because it meets both requirements of changing the range of IP addresses that have permission to access the contents of the S3 buckets and revoking the permissions of two OUs in the company. On all the S3 buckets, configuring resource-based policies that allow only the new range of IP addresses to access the S3 buckets is a valid way to update the IP address ranges, as resource-based policies can specify both resources and conditions. Creating a new SCP that denies access to the S3 buckets and attaching it to the two OUs is also a valid way to revoke the permissions of those OUs, as SCPs can deny actions such as s3:PutObject or s3:GetObject on any resource.
Option D is incorrect because setting a permissions boundary for the OrganizationAccountAccessRole role in the two OUs to deny access to the S3 buckets is not sufficient to revoke the permissions of the two OUs, as there might be other roles or users in those OUs that can still access the S3 buckets. A permissions boundary is a policy that defines the maximum permissions that an IAM entity can have. However, it does not revoke any existing permissions that are granted by other policies.
Reference:
AWS Organizations
S3 Bucket Policies
Service Control Policies
Permissions Boundaries
NEW QUESTION # 302
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: B
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 # 303
A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company's ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.
The company's ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.
Which solution will fix the problem?
Answer: D
Explanation:
When using the awslogs log driver with ECS on EC2, the ECS agent running on the container instance uses the instance's IAM role (container instance role or task execution role, depending on configuration) to write logs to CloudWatch Logs. The policy already grants logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents, which are the required CloudWatch Logs actions. However, for the role to be usable by ECS, the role's trust policy must allow the appropriate service principal to assume it.
In this question, the error message indicates "missing permission" during ECS task deployment. If the IAM role is not trusted by the ECS service (for example, ecs-tasks.amazonaws.com for a task execution role or the proper principal for container instances), ECS cannot assume that role and therefore cannot use the granted CloudWatch permissions, causing deployment failures.
Option A addresses this by adding a trust relationship so that Amazon ECS can assume the IAM role. Options B and C mutate the permissions but do not fix the underlying problem: the missing trust. Option D incorrectly attempts to trust CloudWatch, which does not assume roles in this context.
Thus, adding a trust policy that establishes ECS as a trusted service is the correct fix.
NEW QUESTION # 304
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