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[Hardware] Amazon SOA-C03 Free Updates

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【Hardware】 Amazon SOA-C03 Free Updates

Posted at yesterday 11:04      View：10 | Replies：1        Print      Only Author   [Copy Link] 1#
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Amazon SOA-C03 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
Topic 2
  • Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.
Topic 3
  • Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
Topic 4
  • Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
Topic 5
  • Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q57-Q62):NEW QUESTION # 57
A company's developers manually install software modules on Amazon EC2 instances to deploy new versions of a service. A security audit finds that instances contain inconsistent and unapproved modules.
A CloudOps engineer must create a new instance image that contains only approved software.
Which solution will meet these requirements?
  • A. Use EC2 Image Builder to create and test an Amazon Machine Image (AMI) that includes only the approved modules. Update the deployment workflow to use the new AMI.
  • B. Use Amazon Detective to continuously find and uninstall unauthorized modules from the instances.
  • C. Use Amazon GuardDuty to create and deploy an Amazon Machine Image (AMI) that includes only the approved modules.
  • D. Use AWS Systems Manager Run Command to install the approved modules on all running instances during an in-place update.
Answer: A
Explanation:
According to the AWS Cloud Operations and Deployment documentation, EC2 Image Builder is the AWS-managed service for automating the creation, maintenance, validation, and deployment of secure and compliant Amazon Machine Images (AMIs).
It allows CloudOps teams to define image pipelines that include only approved software modules and configuration scripts. EC2 Image Builder automatically tests and verifies these AMIs for compliance before deployment.
This process ensures configuration consistency, eliminates manual installation errors, and simplifies ongoing patch management. The service integrates with AWS Systems Manager, Amazon Inspector, and AWS CloudFormation for end-to-end automation.
In contrast:
Amazon Detective and GuardDuty (Options A & B) are security monitoring tools, not image management solutions.
Run Command (Option C) applies ad-hoc updates but does not create standard, reusable AMIs.
Therefore, Option D is correct-EC2 Image Builder provides the most operationally efficient and compliant way to create an approved baseline AMI for future deployments.

NEW QUESTION # 58
A company hosts a static website in Amazon S3 behind an Amazon CloudFront distribution. When new versions are deployed, users sometimes do not see updated content immediately.
Which solution will meet this requirement?
  • A. Attach the CachingOptimized managed cache policy to the distribution.
  • B. Configure the CloudFront distribution to add a custom Cache-Control header to requests for content from the S3 bucket.
  • C. Modify the distribution settings to specify the protocol as HTTPS only.
  • D. Create a CloudFront invalidation.
Answer: D
Explanation:
The AWS Cloud Operations and Content Delivery documentation explains that Amazon CloudFront caches objects in edge locations for a defined time based on TTL settings or origin headers. When new content is deployed to the S3 origin, previously cached versions remain in edge caches until they expire.
To immediately serve the new version, CloudOps engineers must initiate a CloudFront invalidation, which removes cached objects from all edge locations. This forces CloudFront to fetch the latest version from the origin (S3).
Invalidations can target individual objects (e.g., /index.html) or wildcard paths (e.g., /*) and are the AWS-recommended approach for dynamic content refresh after static site updates.
Changing headers (Option A), enforcing HTTPS (Option B), or applying caching policies (Option C) do not directly refresh outdated cache content.
Thus, Option D - issuing a CloudFront invalidation - ensures users receive the latest website content immediately after deployment.

NEW QUESTION # 59
A company has a workload that is sending log data to Amazon CloudWatch Logs. One of the fields includes a measure of application latency. A CloudOps engineer needs to monitor the p90 statistic of this field over time.
What should the CloudOps engineer do to meet this requirement?
  • A. Create a metric filter on the log data.
  • B. Create an Amazon CloudWatch Application Insights rule for the workload.
  • C. Create an Amazon CloudWatch Contributor Insights rule on the log data.
  • D. Create a subscription filter on the log data.
Answer: A
Explanation:
To analyze and visualize custom statistics such as the p90 latency (90th percentile), a CloudWatch metric must be generated from the log data. The correct method is to create a metric filter that extracts the latency value from each log event and publishes it as a CloudWatch metric.
Once the metric is published, percentile statistics (p90, p95, etc.) can be displayed in CloudWatch dashboards or alarms.
"You can use metric filters to extract numerical fields from log events and publish them as metrics in CloudWatch. CloudWatch supports percentile statistics such as p90 and p95 for these metrics." Contributor Insights (Option A) is for analyzing frequent contributors, not numeric distributions.
Subscription filters (Option C) are used for log streaming, and Application Insights (Option D) provides monitoring of application health but not custom p90 statistics. Hence, Option B is the CloudOps-aligned, minimal-overhead solution for percentile latency monitoring.

NEW QUESTION # 60
A company runs an application on Amazon EC2 instances that are in an Amazon EC2 Auto Scaling group. Scale-out actions take a long time to become complete because of long-running boot scripts. A CloudOps engineer must implement a solution to reduce the required time for scale-out actions without overprovisioning the Auto Scaling group.
Which solution will meet these requirements?
  • A. Increase the minimum number of instances in the Auto Scaling group.
  • B. Change the launch configuration to use a larger instance size.
  • C. Add a predictive scaling policy to the Auto Scaling group.
  • D. Add a warm pool to the Auto Scaling group.
Answer: D
Explanation:
An Auto Scaling warm pool keeps a set of pre-initialized EC2 instances in a "stopped" or
"running" state, ready to be quickly added to the active instance pool when scaling out. This significantly reduces scale-out latency caused by lengthy boot scripts, without permanently running extra instances (avoiding overprovisioning). Once demand increases, instances from the warm pool can be launched almost instantly.

NEW QUESTION # 61
A company uses hundreds of Amazon EC2 On-Demand Instances and Spot Instances to run production and non-production workloads. The company installs and configures the AWS Systems Manager Agent (SSM Agent) on the EC2 instances.
During a recent instance patch operation, some instances were not patched because the instances were either busy or down. The company needs to generate a report that lists the current patch version of all instances.
Which solution will meet these requirements in the MOST operationally efficient way?
  • A. Use Systems Manager Inventory to collect patch versions. Generate a report of all instances.
  • B. Use Systems Manager Run Command to remotely collect patch version information. Generate a report of all instances.
  • C. Use AWS Config to monitor the patch status of the EC2 instances by using output from the SSM Agents. Create a configuration compliance rule to check whether patches are installed. Generate a report of all instances.
  • D. Use AWS Config to track EC2 instance configuration changes by using output from the SSM Agents.
    Create a custom rule to check for patch versions. Generate a report of all unpatched instances.
Answer: A
Explanation:
Comprehensive Explanation (250-350 words):
AWS Systems Manager Inventory is designed to collect metadata from managed instances, including installed software, applications, and patch information. It works asynchronously and does not require instances to be actively running a command at the time of collection, which is critical when instances may be busy or temporarily unavailable during patch windows.
Inventory data is stored centrally and can be queried to generate reports showing the current patch level or installed patch versions across all managed instances. This makes it well-suited for large fleets that include both On-Demand and Spot Instances and that may scale dynamically.
Option B relies on Run Command, which requires instances to be online and available at execution time. This does not meet the requirement because some instances were already missed during patch operations due to being busy or down. Option C and Option D use AWS Config, which is primarily intended for configuration compliance and drift detection, not detailed patch version reporting. Creating custom or managed rules for patch status introduces unnecessary complexity and overhead compared to Inventory's built-in capability.
Therefore, Systems Manager Inventory provides the most operationally efficient and reliable solution for collecting and reporting patch version data across all EC2 instances.

NEW QUESTION # 62
......
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Posted at halfhour before        Only Author  2#
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