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NEW QUESTION # 116
A company has a multi-account AWS environment that includes the following:
* A central identity account that contains all IAM users and groups
* Several member accounts that contain IAM roles
A SysOps administrator must grant permissions for a particular IAM group to assume a role in one of the member accounts. How should the SysOps administrator accomplish this task?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is B because cross-account role assumption requires two explicit permissions. AWS CloudOps documentation states that the target role must trust the principal, and the principal must be allowed to call sts:AssumeRole.
In the member account, the role's trust policy must list the IAM group ARN (or the identity account) as a trusted principal. In the identity account, the IAM group must have an inline or attached policy that allows the sts:AssumeRole action for the target role ARN. This dual configuration enables secure and controlled cross- account access.
Option A is incorrect because trust policies cannot be attached to IAM groups. Option C is incorrect because sts:PassRole is used for passing roles to AWS services, not for assuming roles. Option D is incorrect because roles do not grant permissions via inline policies to principals.
This approach aligns precisely with AWS CloudOps guidance for multi-account IAM design.
References:
IAM User Guide - Cross-Account Role Access
AWS SysOps Administrator Study Guide - Identity and Access Management
AWS Well-Architected Framework - Security Pillar
NEW QUESTION # 117
A company uses AWS CloudFormation to manage a stack of Amazon EC2 instances on AWS. A CloudOps engineer needs to keep the instances and all of the instances' data, even if someone deletes the stack.
Which solution will meet these requirements?
Answer: C
Explanation:
When a CloudFormation stack is deleted, CloudFormation's default behavior is to delete the resources it created, including EC2 instances and attached resources defined in the template. The requirement is explicit:
the company must keep the instances and all of the instances' data even if someone deletes the stack. The CloudFormation mechanism intended for this outcome is the DeletionPolicy attribute, which controls what happens to a resource when the stack is deleted or when the resource is replaced during an update.
Setting DeletionPolicy: Retain on the EC2 instance resource instructs CloudFormation to preserve that resource instead of deleting it during stack deletion. With Retain, CloudFormation removes the resource from stack management but leaves the instance running (and therefore keeps the data that remains on the instance and its configured storage). This directly satisfies the requirement because the instance is not terminated as part of stack deletion.
Option A is incorrect for EC2 instances because Snapshot is applicable to certain resource types (commonly storage and database resources where snapshot semantics exist), not as a general "keep my instance" control for EC2 instance resources. Options B and C (DLM and AWS Backup) are valuable for backup and recovery strategies, but they do not prevent CloudFormation from terminating the instances when the stack is deleted.
Backups could help restore later, but the requirement is to keep the original instances and their data even after deletion of the stack.
Therefore, the correct solution is to set DeletionPolicy to Retain for the EC2 instance resource in the CloudFormation template.
NEW QUESTION # 118
A logistics company wants to run containerized applications on Amazon ECS behind an Application Load Balancer. The company wants to use a phased release method to test new application versions and gradually increase traffic shift. The company wants to start with 10% of the traffic to the new version, with 10% increments every 3 minutes until the traffic is fully shifted.
Which deployment strategy will meet these requirements?
Answer: C
Explanation:
The traffic pattern described is a linear deployment: shift a fixed percentage of traffic at fixed time intervals until the new version receives 100% of traffic. AWS CodeDeploy for Amazon ECS includes a predefined deployment configuration named CodeDeployDefault.ECSLinear10PercentEvery3Minutes, which shifts 10% of traffic every 3 minutes until all traffic is shifted. A canary deployment sends an initial small percentage to the new version and then shifts the remaining traffic after a bake period, not in equal repeated increments. A rolling deployment replaces tasks in batches but does not express ALB traffic shifting percentages in this way.
Blue/green is the broader deployment model used by CodeDeploy, but the specific release strategy requested is linear. Therefore, option D is correct.
NEW QUESTION # 119
A company plans to migrate several of its high performance computing (HPC) virtual machines (VMs) to Amazon EC2 instances on AWS. A CloudOps engineer must identify a placement group for this deployment. The strategy must minimize network latency and must maximize network throughput between the HPC VMs.
Which strategy should the CloudOps engineer choose to meet these requirements?
Answer: D
Explanation:
Cluster placement groups place EC2 instances close together within a single Availability Zone, providing very low network latency and high network throughput, which is ideal for HPC workloads that require fast, high-bandwidth communication between nodes. Partition and spread groups focus on isolation and failure-domain separation, not on maximizing inter-instance network performance.
NEW QUESTION # 120
A company has a stateful web application that is hosted on Amazon EC2 instances in an Auto Scaling group.
The instances run behind an Application Load Balancer (ALB) that has a single target group. The ALB is configured as the origin in an Amazon CloudFront distribution. Users are reporting random logouts from the web application.
Which combination of actions should a CloudOps engineer take to resolve this problem? (Select TWO.)
Answer: B,E
Explanation:
Stateful applications require session persistence to ensure that subsequent requests from the same user are routed to the same backend instance. When CloudFront is used in front of an ALB, session-related cookies must be forwarded correctly; otherwise, CloudFront can route requests to different targets, causing session loss and random logouts.
Configuring cookie forwarding in the CloudFront cache behavior ensures that session cookies (such as authentication tokens) are forwarded to the ALB and not stripped or cached incorrectly. Without this configuration, CloudFront may serve cached responses that do not align with the user's active session state, leading to authentication issues.
On the ALB side, sticky sessions (session affinity) must be enabled on the target group to ensure that requests with the same session cookie are consistently routed to the same EC2 instance. ALB stickiness uses application cookies to bind a user session to a specific target, which is critical for stateful applications that store session data in memory.
Option A affects load distribution efficiency but does not address session persistence. Option C (header forwarding) is unnecessary unless the application explicitly stores session state in headers, which is uncommon. Option D applies only when using multiple target groups and listener rules, which is not the case here.
Together, enabling cookie forwarding in CloudFront and sticky sessions at the ALB target group resolves the logout issue by maintaining consistent session routing from the user through CloudFront to the same backend instance.
NEW QUESTION # 121
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