DOP-C02 Exam Dumps - Amazon Web Services AWS Certified Professional Questions and Answers

https://docs.aws.amazon.com/autoscaling/ec2/userguide/ASGettingNotifications.html#auto-scaling-sns-notifications

 Turn off cross-zone load balancing on the ALB ' s target group:

Cross-zone load balancing distributes traffic evenly across all registered targets in all enabled Availability Zones. Turning this off will ensure that each target group only handles requests from its respective Availability Zone.

To disable cross-zone load balancing:

Go to the Amazon EC2 console.

Navigate to Load Balancers and select the ALB.

Choose the Target Groups tab, select the target group, and then select the Group details tab.

Click on Edit and turn off Cross-zone load balancing.

 Use Amazon Route 53 Application Recovery Controller to start a zonal shift away from the Availability Zone:

Amazon Route 53 Application Recovery Controller provides the ability to control traffic flow to ensure high availability and disaster recovery.

By using Route 53 Application Recovery Controller, you can perform a zonal shift to redirect traffic away from the unhealthy Availability Zone.

To start a zonal shift:

Configure Route 53 Application Recovery Controller by creating a cluster and control panel.

Create routing controls to manage traffic shifts between Availability Zones.

Use the routing control to shift traffic away from the affected Availability Zone.

To allow developers to create IAM users without granting excessive permissions, the correct solution is to use permissions boundaries, which AWS specifically recommends for restricting delegated administrators such as developers. A permissions boundary defines the maximum permissions that an IAM user or role can delegate.

Step C ensures that each AWS account contains a PermissionBoundaries policy defining the maximum allowed permissions that any developer-created user may receive. This prevents privilege escalation, even if the developer attaches a more powerful policy. This aligns with AWS guidance for restricting privilege escalation within multi-account environments.

Step E ensures that developers can create IAM users but only if they attach the PermissionBoundaries policy as the permissions boundary. By attaching the DeveloperBoundary policy to the CreateAndManageUsers role, developers gain the ability to create users, but they are cryptographically prevented from assigning permissions outside the boundary policy.

Meanwhile, the DevOps team (who are not restricted by the boundary) can still create IAM users with full permissions.

This combination satisfies all constraints:

DevOps team: unrestricted IAM creation

Developers: restricted IAM creation enforced by boundaries

Other users: still blocked from IAM creation by existing SCP

https://docs.aws.amazon.com/systems-manager/latest/userguide/sysman-managed-instance-activation.html

Option A is correct because using batch writes to write multiple log events in a single write operation is a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Batch writes can reduce the number of network round trips and API calls, and can also take advantage of parallel processing by Timestream. Batch writes can also improve the compression ratio of data in the memory store and the magnetic store, which can reduce the storage costs and improve the query performance1.

Option B is incorrect because writing each log event as a single write operation is not a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Writing each log event as a single write operation would increase the number of network round trips and API calls, and would also reduce the compression ratio of data in the memory store and the magnetic store. This would increase the storage costs and degrade the query performance1.

Option C is incorrect because treating each log as a single-measure record is not a recommended practice for optimizing the query performance in Timestream. Treating each log as a single-measure record would result in creating multiple records for each timestamp, which would increase the storage size and the query latency. Moreover, treating each log as a single-measure record would require using joins to query multiple measures for the same timestamp, which would add complexity and overhead to the query processing2.

Option D is correct because treating each log as a multi-measure record is a recommended practice for optimizing the query performance in Timestream. Treating each log as a multi-measure record would result in creating a single record for each timestamp, which would reduce the storage size and the query latency. Moreover, treating each log as a multi-measure record would allow querying multiple measures for the same timestamp without using joins, which would simplify and speed up the query processing2.

Option E is incorrect because configuring the memory store retention period to be longer than the magnetic store retention period is not a valid option in Timestream. The memory store retention period must always be shorter than or equal to the magnetic store retention period. This ensures that data is moved from the memory store to the magnetic store before it expires out of the memory store3.

Option F is correct because configuring the memory store retention period to be shorter than the magnetic store retention period is a valid option in Timestream. The memory store retention period determines how long data is kept in the memory store, which is optimized for fast point-in-time queries. The magnetic store retention period determines how long data is kept in the magnetic store, which is optimized for fast analytical queries. By configuring these retention periods appropriately, you can balance your storage costs and query performance according to your application needs3.

Using CodePipeline + CodeConnections Git repo provides version control, automated deployment, and rollback. Each template includes AWS::ControlTower::EnableControl for OU-level guardrails. AWS Control Tower documentation recommends this GitOps automation model.

To meet the requirements, the DevOps team needs to configure a monitoring solution for the VPC flow logs that can detect anomalies in network traffic over time and initiate a response to the anomaly. The DevOps team can use Amazon Kinesis Data Streams to ingest and process streaming data from CloudWatch Logs. The DevOps team can subscribe the log group to a Kinesis data stream, which will deliver log events from CloudWatch Logs to Kinesis Data Streams in near real-time. The DevOps team can then create an AWS Lambda function to detect log anomalies using machine learning or statistical methods. The Lambda function can be set as a processor for the data stream, which means that it will process each record from the stream before sending it to downstream applications or destinations. The Lambda function can also write to the default Amazon EventBridge event bus if it detects an anomaly, which will allow other AWS services or custom applications to respond to the anomaly event.

Mutual TLS (mTLS) authentication requires two-way authentication between the client and the server. For Amazon API Gateway, you can enable mTLS for a custom domain name, which requires clients to present X.509 certificates to verify their identity to access your API. To set up mTLS, you would typically use AWS Certificate Manager (ACM) to create a private certificate authority (CA) and provision a client certificate signed by this private CA. The root CA certificate is then uploaded to an Amazon S3 bucket and configured in API Gateway as the trust store12.

Introducing mutual TLS authentication for Amazon API Gateway1.

Configuring mutual TLS authentication for a REST API2.

AWS Private Certificate Authority details3.

AWS Certificate Manager Private Certificate Authority updates4.

Activate AWS Control Tower Guardrail:

Use AWS Control Tower to activate a detective guardrail that checks whether RDS storage is encrypted.

Create SNS Topic for Notifications:

Set up an Amazon Simple Notification Service (SNS) topic in the audit account to receive notifications about non-compliant databases.

Create EventBridge Rule to Filter Non-compliant Events:

Create an Amazon EventBridge rule that filters events related to the guardrail ' s findings on non-compliant RDS instances.

Configure the rule to send notifications to the SNS topic when non-compliant events are detected.

Subscribe Security Engineer ' s Email to SNS Topic:

Subscribe the security engineer ' s email address to the SNS topic to receive notifications when non-compliant databases are detected.

By using AWS Control Tower to activate a detective guardrail and setting up SNS notifications for non-compliant events, the company can efficiently monitor and ensure that all RDS databases are encrypted at rest.