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| Section | Weight | Objectives |
|---|---|---|
| Deployment, Provisioning, and Automation | 18% | - Infrastructure as Code using AWS CloudFormation - Configuration management and orchestration tools - Automated deployment pipelines |
| Cost and Performance Optimization | 28% | - Right-sizing and capacity planning - Resource performance tuning - Cost monitoring and optimization strategies |
| Monitoring, Logging, and Remediation | 20% | - Centralized logging and log analysis with AWS services - Automated remediation and operational workflows - Metrics and monitoring using Amazon CloudWatch |
| Reliability and Business Continuity | 16% | - Backup and disaster recovery strategies - Data replication and recovery mechanisms - High availability and fault tolerance design |
| Security and Compliance | 18% | - Data protection and encryption - Security monitoring and auditing - Identity and access management (IAM) |
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208. Frage
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?
Antwort: B
Begründung:
As documented in 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.
209. Frage
A CloudOps engineer has an Amazon S3 bucket and a new AWS Lambda function. The CloudOps engineer tries to configure a new event notification from the S3 bucket to the Lambda function by using the Lambda console. The configuration fails and returns the following error:
"Unable to validate the following destination configurations."
The engineer confirms that the new Lambda function and the function's IAM role are correctly configured.
What is the cause of this error?
Antwort: B
Begründung:
The important clue is that the new Lambda function and its IAM role are already correctly configured. When S3 validates event notification configurations, it can validate not only the newly added destination but also existing destinations on the bucket. If the bucket already has a stale notification that points to a deleted Lambda function, deleted queue, deleted topic, or destination without the correct resource policy, the validation can fail with "Unable to validate the following destination configurations." Option C would be plausible if the new Lambda permission were missing, but the question rules out a problem with the new function configuration. Option A is not the best cause because the error refers to destination validation, not a quota breach. Therefore, the stale existing event notification is the likely root cause.
210. Frage
A company runs thousands of Amazon EC2 instances that are based on the Amazon Linux 2 Amazon Machine Image (AMI). A SysOps administrator must implement a solution to record commands and output from any user that needs an interactive session on one of the EC2 instances. The solution must log the data to a durable storage location. The solution also must provide automated notifications and alarms that are based on the log data.
Which solution will meet these requirements with the MOST operational efficiency?
Antwort: A
Begründung:
The most operationally efficient solution is C because AWS Systems Manager Session Manager is purpose-built for secure, auditable interactive access to EC2 instances at scale--without managing bastion hosts or distributing SSH keys. Session Manager can be configured to log session activity, including commands and output, to durable destinations such as Amazon CloudWatch Logs (and optionally Amazon S3). This directly satisfies the requirement to record interactive sessions and store logs durably.
For automated notifications and alarms, CloudWatch Logs supports metric filters that transform matching log patterns into CloudWatch metrics. Those metrics can then drive CloudWatch alarms and notifications (for example, via Amazon SNS). This is a standard CloudOps pattern: centralize logs, derive metrics from security-relevant patterns, and alert automatically.
211. Frage
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs to send specific events from all the accounts in the organization to a new receiver account, where an AWS Lambda function will process the events.
A CloudOps engineer configures Amazon EventBridge to route events to a target event bus in the us-west-2 Region in the receiver account. The CloudOps engineer creates rules in both the sender and receiver accounts that match the specified events. The rules do not specify an account parameter in the event pattern. IAM roles are created in the sender accounts to allow PutEvents actions on the target event bus.
However, the first test events from the us-east-1 Region are not processed by the Lambda function in the receiving account.
What is the likely reason the events are not processed?
Antwort: D
Begründung:
Per the AWS Cloud Operations and EventBridge documentation, when events are sent across AWS accounts
- particularly from multiple accounts in an AWS Organization - the target event bus in the receiver account must include a resource-based policy that explicitly allows events:PutEvents API calls from the sender accounts or the organization ID.
Even if the sender accounts have IAM permissions to call PutEvents, the receiving event bus must trust those accounts via a resource policy. Without this configuration, EventBridge automatically rejects incoming cross- account events, and those events never reach the target Lambda function for processing.
AWS guidance states that "Cross-account event delivery requires a resource-based policy on the event bus that grants permissions to the source accounts or organization." The policy can include either individual AWS account IDs or the organization's root ID.
In this scenario, because the events originate from multiple accounts and there is no resource policy on the target event bus to authorize those sender accounts, the events are not delivered.
Therefore, the correct cause is C - the resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
Reference: AWS Cloud Operations - EventBridge Cross-Account Event Delivery Section, Permissions for Event Bus Targets and Organizational Event Routing
212. Frage
A company runs custom statistical analysis software on a cluster of Amazon EC2 instances. The software is highly sensitive to network latency between nodes, although network throughput is not a limitation.
Which solution will minimize network latency?
Antwort: B
Begründung:
The AWS Cloud Operations and Compute documentation explains that placement groups control how EC2 instances are physically arranged within AWS data centers to optimize network performance.
Among the available placement strategies:
Cluster placement groups place instances physically close together within a single Availability Zone, connected through high-bandwidth, low-latency networking (ideal for tightly coupled, HPC, or distributed workloads).
Spread placement groups distribute instances across distinct racks or Availability Zones for fault tolerance, increasing latency.
Partition placement groups separate instances into partitions for isolation, not latency reduction.
Therefore, to minimize latency for workloads such as computational clusters, the CloudOps engineer should use a cluster placement group. This placement ensures single-digit microsecond latency and enhanced packet rate performance between instances.
Elastic IPs (Option B) do not influence internal networking. Jumbo frames (Option C) can marginally improve throughput but do not reduce propagation latency. Spread placement (Option D) increases distance, worsening latency.
Hence, Option A - using a cluster placement group - delivers the lowest possible network latency and is AWS's best-practice design for HPC-style clusters.
213. Frage
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