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NEW QUESTION # 164
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required.
The RDS-persisted data must be retained for further use, even after the CloudFormation stack is deleted.
How can this be achieved in a reliable and efficient way?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes.
Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles-declarative, repeatable, and reliable- and supports efficient lifecycle management of ephemeral development stacks.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Deployment, Provisioning and Automation* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)* AWS Well-Architected Framework - Operational Excellence Pillar
NEW QUESTION # 165
A company needs to monitor its website's availability to end users. The company needs a solution to provide an Amazon Simple Notification Service (Amazon SNS) notification if the website's uptime decreases to less than 99%. The monitoring must provide an accurate view of the user experience on the website.
Which solution will meet these requirements?
Answer: D
Explanation:
Amazon CloudWatch Synthetics heartbeat canaries actively test a website by sending periodic requests from AWS-managed locations, closely simulating real user access. This provides an accurate measurement of availability from an end-user perspective, which is a key requirement.
The SuccessPercent metric represents the percentage of successful executions over time and directly maps to website uptime. Creating a CloudWatch alarm on this metric allows the CloudOps engineer to receive SNS notifications when availability drops below the 99% threshold.
Log-based or anomaly-detection approaches do not reliably represent user experience, and broken link checkers focus on content integrity rather than availability. Therefore, a heartbeat canary is the correct solution.
NEW QUESTION # 166
A company maintains a list of 75 approved Amazon Machine Images (AMIs) that can be used across an organization in AWS Organizations. The company's development team has been launching Amazon EC2 instances from unapproved AMIs.
A SysOps administrator must prevent users from launching EC2 instances from unapproved AMIs.
Which solution will meet this requirement?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is preventative: stop users from launching from unapproved AMIs. The most scalable approach with 75 approved AMIs is to tag all approved AMIs (for example, ApprovedAMI=true) and enforce usage through an IAM policy condition that only allows ec2:RunInstances when the ec2:ImageId resource (the AMI) includes the required tag. This avoids maintaining long allow/deny lists of AMI IDs and supports continuous updates: as new approved AMIs are created, tagging them automatically brings them under the policy without policy rewrites.
Option B is incorrect because service-linked roles are used by AWS services, not assigned to users for interactive authorization enforcement in this way. Option C and D are detective/remedial controls that act after instances are already launched, which does not satisfy "must prevent." They also increase operational overhead and risk disruptions.
References:
IAM User Guide - Tag-based access control using resource tags (aws:ResourceTag) Amazon EC2 User Guide - IAM controls for RunInstances and AMI selection AWS SysOps Administrator Study Guide - Governance and preventative controls
NEW QUESTION # 167
A company needs to enforce tagging requirements for Amazon DynamoDB tables in its AWS accounts. A CloudOps engineer must implement a solution to identify and remediate all DynamoDB tables that do not have the appropriate tags.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
According to the AWS Cloud Operations, Governance, and Compliance documentation, AWS Config provides managed rules that automatically evaluate resource configurations for compliance. The "required-tags" managed rule allows CloudOps teams to specify mandatory tags (e.g., Environment, Owner, CostCenter) and automatically detect non-compliant resources such as DynamoDB tables.
Furthermore, AWS Config supports automatic remediation through AWS Systems Manager Automation runbooks, enabling correction actions (for example, adding missing tags) without manual intervention. This automation minimizes operational overhead and ensures continuous compliance across multiple accounts.
Using a custom Lambda function (Options A or B) introduces unnecessary management complexity, while EventBridge rules alone (Option D) do not provide resource compliance tracking or historical visibility.
Therefore, Option C provides the most efficient, fully managed, and compliant CloudOps solution.
NEW QUESTION # 168
A CloudOps engineer has an Amazon ECS service that runs a transaction processing application. The CloudOps engineer needs to deploy a new feature on the ECS service. The feature cannot have downtime during deployment. The feature must also have the ability to run an immediate one-step rollback if a performance-degrading bug is detected.
Which solution will meet these requirements?
Answer: D
Explanation:
Blue/green deployment with AWS CodeDeploy is the correct strategy for Amazon ECS when zero downtime and fast rollback are required. In a blue/green deployment, the current production task set remains active while a new task set is created and validated. Traffic can then be shifted safely to the new version. If the new version causes performance degradation, CodeDeploy can roll back by redirecting traffic to the previous task set. AWS ECS documentation describes blue/green deployment as a method that reduces downtime and risk by running two production environments and validating revisions before routing production traffic. Rolling updates do not provide the same immediate one-step rollback. Canary or linear traffic shifting gradually moves traffic but does not match the requirement for immediate rollback as directly as blue/green. Manual scaling is operationally weak.
NEW QUESTION # 169
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