SAP-C02 - Continuous Improvement for Existing Solutions (25% of the exam) - Section 3.2

Design patch management, backup and automated vulnerability remediation for an existing environment using AWS Systems Manager, Amazon Inspector and AWS Backup.

Design automated patch management and vulnerability scanning for an existing environment using AWS Systems Manager Patch Manager and Amazon Inspector to identify and remediate OS and software weaknesses. Combine with AWS Backup scheduled jobs to ensure recovery points exist before patch windows run.

AWS Systems Manager Patch ManagerAmazon InspectorAWS BackupAutomated remediation

Practice question for this objective

Free sampleContinuous Improvement for Existing Solutionshard

A logistics company manages around 400 mixed Amazon EC2 instances and on-premises servers from AWS Systems Manager across several accounts. The security team requires a recurring patch cycle that scans every managed node weekly, installs approved operating-system patches only inside a defined maintenance window to avoid business-hours disruption, and tags hosts by environment so production patches one week after the lower environments have proven stable. They want this driven natively by Systems Manager without scripting their own orchestration. Which approach BEST automates this scheduled, environment-staged patching?

  • ADefine Patch Manager patch baselines with approval rules per environment, group nodes into patch groups by environment tag, and run the patch scan and install in Maintenance Windows scheduled a week apart so lower environments patch before production. Correct
  • BSchedule a single Systems Manager Run Command invocation that runs the operating-system patch installation command on every managed instance at a fixed time each week, relying on each host operating system to defer the required reboot until its own configured quiet hours afterwards.
  • CEnable AWS Config managed rules to detect instances missing required patches and configure an automatic remediation action that calls a patch document whenever a host is reported as non-compliant during the periodic Config evaluation.
  • DUse AWS Backup to snapshot every instance weekly and write an AWS Lambda function that downloads and applies the latest vendor patches to each volume, restoring from the snapshot automatically if a patched host fails its post-install health check.
Combine Patch Manager baselines, patch groups by tag, and Maintenance Windows to automate scheduled, environment-staged, approved-only patching natively. Patch Manager uses patch baselines with approval rules to decide which patches are applied, and patch groups tag nodes so each environment maps to its own baseline. Maintenance Windows then run the scan and install tasks on defined schedules, so setting the production window a week after the lower environments staggers the rollout and keeps installs inside approved hours, all without custom orchestration. Run Command, Config remediation, and Backup-plus-Lambda each lack baselines, window timing, or staging, so none meets the full requirement.

Why A is correct: Patch Manager baselines set which patches are approved per environment, patch groups map nodes by tag to those baselines, and Maintenance Windows execute the scan and install on controlled schedules, so configuring the production window a week after the lower environments delivers the staged, in-window, approved-only patching natively.

Why B is wrong: Run Command fires a single command at a set time with no patch baseline, approval rules, or maintenance-window scoping, so it cannot enforce approved-only patches, environment staging, or a controlled window, and depending on OS reboot deferral is unreliable across a mixed fleet.

Why C is wrong: Config evaluates compliance and can trigger remediation, but it offers no maintenance-window timing or week-apart environment staging, so patches could install during business hours and production would patch on the same cadence as test, missing the staged stability gate.

Why D is wrong: AWS Backup protects data and has no patching capability, and a custom Lambda that patches volumes is exactly the bespoke orchestration the team wants to avoid, while volume-level patching outside a running OS is impractical and unsupported for live servers.

See more SAP-C02 practice questions, answers explained.

Exam traps in Continuous Improvement for Existing Solutions

Answers that look right on this material and are not. Each one is a distractor from a different question in the SAP-C02 bank for this domain.

  • Configure Amazon Inspector to publish findings to Amazon SNS and subscribe an email distribution list so on-call engineers receive each high-severity finding and apply patches manually during the next change window.

    Why it is wrong: Email notification keeps a human in the loop for every finding, which is the manual triage the company wants to remove, and it does not reuse Systems Manager patching automatically.

  • Deploy AWS Application Migration Service replication agents to the on-premises servers so the workloads are represented as instances inside AWS, then patch the resulting replica instances with Patch Manager on the weekly schedule and re-mirror the patched state back down to the data centre hosts each cycle.

    Why it is wrong: Application Migration Service replicates servers for migration and cutover, not for ongoing two-way patch mirroring, so this misuses the service and adds fragile re-mirroring instead of patching the real hosts.

  • Apply a single patch baseline to all instances and set the maintenance window for production to start seven days after the window for the lower environments, relying on the later schedule to delay when production receives the same approved patches.

    Why it is wrong: Staggering only the maintenance window times still hands production whatever patches the shared baseline has already approved, so a defective patch approved before the lower environments run could reach production on its later window unchecked.

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