A company's CloudOps engineer is troubleshooting communication between the components of an application. The company configured VPC flow logs to be published to Amazon CloudWatch Logs. However, there are no logs in CloudWatch Logs.
What could be blocking the VPC flow logs from being published to CloudWatch Logs?
A. The IAM policy attached to the IAM role for the flow log is missing the logs:CreateLogGroup permission. B. The IAM policy attached to the IAM role for the flow log is missing the logs:CreateExportTask permission. C. The VPC is configured for IPv6 addresses. D. The VPC is peered with another VPC in the AWS account.
A. The IAM policy attached to the IAM role for the flow log is missing the logs:CreateLogGroup permission.
Explanation
VPC Flow Logs require permissions to create log groups and log streams in Amazon CloudWatch Logs. If the IAM role associated with the flow log lacks the logs:CreateLogGroup permission, CloudWatch Logs cannot be created and no logs will appear.
Option B is unrelated because CreateExportTask is used for exporting logs, not publishing them. IPv6 configuration and VPC peering do not prevent flow logs from being delivered.
Ensuring the IAM role has the correct CloudWatch Logs permissions resolves the issue.
Question 222:
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?
A. The Auto Scaling group will launch an additional EC2 instance every time the RequestCountPerTarget metric exceeds the predefined limit. B. The Auto Scaling group will launch one EC2 instance and will wait for the default cooldown period before launching another instance. C. The Auto Scaling group will send an alert to the ALB to rebalance the traffic and not add new EC2 instances until the load is normalized. D. The Auto Scaling group will try to distribute the traffic among all EC2 instances before launching another instance.
B. The Auto Scaling group will launch one EC2 instance and will wait for the default cooldown period before launching another instance.
Explanation
Comprehensive and Detailed From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References (AWS CloudOps Documents / Study Guide):
A company uses AWS CloudFormation to manage a stack of Amazon EC2 instances. A CloudOps engineer needs to keep the EC2 instances and their data even if the stack is deleted.
Which solution will meet these requirements?
A. Set the DeletionPolicy attribute to Snapshot . B. Use Amazon Data Lifecycle Manager (DLM). C. Create an AWS Backup plan. D. Set the DeletionPolicy attribute to Retain .
D. Set the DeletionPolicy attribute to Retain .
Explanation
CloudFormation's DeletionPolicy: Retain ensures that resources are not deleted when the stack is deleted. This preserves both the EC2 instance and any attached storage.
Snapshot does not apply to EC2 instances themselves. Backup solutions do not prevent deletion.
Therefore, Retain is the correct policy.
Question 224:
A CloudOps engineer is using AWS Compute Optimizer to generate recommendations for a fleet of Amazon EC2 instances. Some of the instances use newly released instance types, while other instances use older instance types.
After the analysis is complete, the CloudOps engineer notices that some of the EC2 instances are missing from the Compute Optimizer dashboard.
What is the likely cause of this issue?
A. The missing instances have insufficient historical Amazon CloudWatch metric data for analysis. B. Compute Optimizer does not support the instance types of the missing instances. C. Compute Optimizer already considers the missing instances to be optimized. D. The missing instances are running a Windows operating system.
B. Compute Optimizer does not support the instance types of the missing instances.
Explanation
AWS Cloud Operations and Compute Optimizer documentation, Compute Optimizer provides right-sizing recommendations by analyzing Amazon CloudWatch metrics and instance configuration data. However, AWS explicitly notes that only supported instance types are included in Compute Optimizer analyses. If an EC2 instance type is newly released or not yet supported by Compute Optimizer, it will not appear in the Compute Optimizer dashboard until official support is added. The documentation explains that "Compute Optimizer analyses only supported resource types and instance families. Instances using unsupported or newly launched instance types will not appear in the Compute Optimizer console." This ensures the service provides accurate recommendations based on sufficient performance history and benchmark data.
While CloudWatch metrics are required for analysis, the complete absence of instances from the dashboard -rather than "insufficient metric data" notifications - indicates unsupported instance types. Compute Optimizer would normally still display those with limited metrics but would flag them as "insufficient data," not remove them entirely.
Therefore, the most accurate cause of missing instances in this case is that Compute Optimizer does not support the newly released instance types, making option B correct.
AWS Cloud Operations & Compute Optimizer Guide - Section: Supported Resources and Limitations in Compute Optimizer
Question 225:
A CloudOps engineer wants to ensure that future EC2 instances automatically receive patching without manual scheduling.
Which Systems Manager feature should be used?
A. Patch Manager with maintenance windows B. Default Host Management Configuration C. Run Command documents D. Automation runbooks
B. Default Host Management Configuration
Explanation
Default Host Management Configuration automatically enables core Systems Manager capabilities, including patching, for current and future instances at the organization or account level.
AWS Systems Manager - Quick Setup
Question 226:
A multinational company uses an organization in AWS Organizations to manage over 200 member accounts across multiple AWS Regions. The company must ensure that all AWS resources meet specific security requirements.
The company must not deploy any EC2 instances in the ap-southeast-2 Region. The company must completely block root user actions in all member accounts. The company must prevent any user from deleting AWS CloudTrail logs, including administrators.
The company requires a centrally managed solution that the company can automatically apply to all existing and future accounts.
Which solution will meet these requirements?
A. Create AWS Config rules with remediation actions in each account to detect policy violations. Implement IAM permissions boundaries for the account root users. B. Enable AWS Security Hub across the organization. Create custom security standards to enforce the security requirements. Use AWS CloudFormation StackSets to deploy the standards to all the accounts in the organization. Set up Security Hub automated remediation actions. C. Use AWS Control Tower for account governance. Configure Region deny controls. Use Service Control Policies (SCPs) to restrict root user access. D. Configure AWS Firewall Manager with security policies to meet the security requirements. Use an AWS Config aggregator with organization-wide conformance packs to detect security policy violations.
C. Use AWS Control Tower for account governance. Configure Region deny controls. Use Service Control Policies (SCPs) to restrict root user access.
Explanation
AWS CloudOps governance best practices emphasize centralized account management and preventive guardrails AWS Control Tower . integrates directly with AWS Organizations and provides "Region deny controls" and "Service Control Policies (SCPs)" that apply automatically to all existing and newly created member accounts. SCPs are organization-wide guardrails that define the maximum permissions for accounts. They can explicitly deny actions such as launching EC2 instances in a specific Region, or block root user access.
To prevent CloudTrail log deletion, SCPs can also include denies on cloudtrail:DeleteTrail and s3: DeleteObject actions targeting the CloudTrail log S3 bucket. These SCPs ensure that no user, including administrators, can violate the compliance requirements. AWS documentation under the Security and Compliance domain for CloudOps states: "Use AWS Control Tower to establish a secure, compliant, multi-account environment with preventive guardrails through service control policies and detective controls through AWS Config." This approach meets all stated needs: centralized enforcement, automatic propagation to new accounts, region-based restrictions, and immutable audit logs. Options A, B, and D either detect violations reactively or lack complete enforcement and automation across future accounts.
References (AWS CloudOps Documents / Study Guide):
AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 4: Security and Compliance AWS Control Tower - Preventive and Detective Guardrails AWS Organizations - Service Control Policies (SCPs) AWS Well-Architected Framework - Security Pillar (Governance and Centralized Controls)
Question 227:
A company wants to prevent accidental deletion of CloudFormation stacks.
Which feature should be enabled?
A. Stack policies B. Termination protection C. Rollback configuration D. Change sets
B. Termination protection
Explanation
Termination protection prevents stacks from being deleted until the protection is explicitly disabled, safeguarding critical infrastructure.
AWS CloudFormation - Termination Protection
Question 228:
A company uses Amazon EC2 instances for a stateful application. The company needs a disaster recovery plan that can restore the application environment in a different AWS Region with minimal manual steps.
Which solution will meet these requirements?
A. Use AWS CloudFormation to define the infrastructure and use AMIs and snapshots copied to the DR Region. B. Use AWS Trusted Advisor to generate a DR report. C. Use Amazon CloudWatch dashboards to rebuild the environment in the DR Region. D. Use VPC Flow Logs to replicate the application state across Regions.
A. Use AWS CloudFormation to define the infrastructure and use AMIs and snapshots copied to the DR Region.
Explanation
A reliable DR strategy requires both infrastructure reproducibility and data/compute artifacts in the target Region. Using CloudFormation provides infrastructure as code to recreate networking, compute, security groups, and dependencies consistently. Copying required AMIs and EBS snapshots to the DR Region ensures that the compute images and storage data needed for recovery are available. This reduces manual steps and supports repeatable recovery procedures. Trusted Advisor and CloudWatch dashboards do not rebuild infrastructure. VPC Flow Logs capture traffic metadata and cannot replicate application state.
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery backtracking, and automatic backup enabled. A CloudOps engineer needs to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?
A. Create an Aurora Replica. Promote the replica to replace the primary DB instance. B. Create an AWS Lambda function to restore an automatic backup to the existing DB cluster. C. Use backtracking to rewind the existing DB cluster to the desired recovery point. D. Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
C. Use backtracking to rewind the existing DB cluster to the desired recovery point.
Explanation
AWS Cloud Operations and Database Recovery Aurora Backtrack allows you to rewind the existing database cluster to a chosen point in time without creating a new cluster. This feature supports fine- grained rollback for accidental data changes, making it ideal for scenarios like table deletions or logical corruption.
Backtracking maintains continuous transaction logs and permits rewinding within a configurable window (up to 72 hours). It does not require creating a new cluster or endpoint, and it preserves the same production environment, fulfilling the operational requirement for in-place recovery. In contrast, Point-in-Time Recovery (Option D) always creates a new cluster, while replica promotion (Option A) and Lambda restoration (Option B) are unrelated to immediate rollback operations. Therefore, Option C, using Aurora Backtrack, best meets the requirement for same-cluster restoration and minimal downtime.
AWS Cloud Operations & Database Management Guide - Section: Using Aurora Backtrack for Fast In-Place Recovery
Question 230:
A company needs to ensure that an Application Load Balancer is protected against common web exploits and that rules can be centrally managed across multiple accounts.
Which solution will meet these requirements?
A. Deploy AWS WAF on each ALB and manage rules individually per account. B. Use AWS Firewall Manager to centrally manage AWS WAF policies across accounts and apply them to ALBs. C. Enable AWS Shield Standard and configure SQL injection rules. D. Use Security Groups to block SQL injection strings.
B. Use AWS Firewall Manager to centrally manage AWS WAF policies across accounts and apply them to ALBs.
Explanation
AWS WAF provides application-layer protections, but the requirement includes centralized multi-account management. AWS Firewall Manager is designed to centrally configure and enforce security policies (including AWS WAF rule groups) across multiple accounts in an organization. This ensures consistent protection, reduces configuration drift, and minimizes per-account operational overhead.
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