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| Section | Weight | Objectives |
|---|---|---|
| SDLC Automation | 22% | - CI/CD pipeline design and implementation
|
| Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
|
| Monitoring and Logging | 15% | - Observability and metrics
|
| Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
|
| Incident and Event Management | 18% | - Operational response and recovery
|
| Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
|
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NEW QUESTION # 206
A DevOps engineer is building a multistage pipeline with AWS CodePipeline to build, verify, stage, test, and deploy an application. A manual approval stage is required between the test stage and the deploy stage. The development team uses a custom chat tool with webhook support that requires near-real-time notifications.
How should the DevOps engineer configure status updates for pipeline activity and approval requests to post to the chat tool?
Answer: B
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/sns-lambda-webhooks-chime-slack-teams/
NEW QUESTION # 207
A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.
All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.
A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.
Which solution will meet these requirements?
Answer: C
Explanation:
Amazon FSx for NetApp ONTAP provides NetApp ONTAP features in AWS, including SnapMirror replication and storage efficiencies like deduplication and compression. Create FSx for ONTAP in each Region and use SnapMirror from on-prem ONTAP to each Region for efficient, incremental replication.
Regions can serve data independently of on-prem availability once replicated.
NEW QUESTION # 208
A company has developed a web application that conducts seasonal sales on public holidays. The web application is deployed on AWS and uses AWS services for storage, database, computing, and encryption.
During seasonal sales, the company expects high network traffic from many users. The company must receive insights regarding any unexpected behavior during the sale. A DevOps team wants to review the insights upon detecting anomalous behaviors during the sale. The DevOps team wants to receive recommended actions to resolve the anomalous behaviors. The recommendations must be provided on the provisioned infrastructure to address issues that might occur in the future.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)
Answer: D,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AmazonDevOps Guruis a fully managed service that uses machine learning to detect anomalous application behavior and provides insights with recommended remediation actions to improve operational performance.
* Enabling DevOps Guru (Option A) covers many AWS resources automatically and reduces manual analysis.
* Configuring SNS notifications (Option B) allows the team to be proactively alerted about important events.
* Options C, D, and E require manual data setup, complex querying, and dashboard/reporting maintenance, which increase operational overhead.Therefore, the combination of enabling DevOps Guru and setting up notifications achieves the goals with minimal effort.
Reference:
Amazon DevOps Guru Overview:"DevOps Guru provides operational insights and anomaly detection with actionable recommendations."(Amazon DevOps Guru Documentation) Amazon DevOps Guru Notifications:"You can configure DevOps Guru to send notifications via Amazon SNS topics for detected anomalies."(DevOps Guru Notifications)
NEW QUESTION # 209
A company has an AWS account named PipelineAccount. The account manages a pipeline in AWS CodePipeline. The account uses an IAM role named CodePipeline_Service_Role and produces an artifact that is stored in an Amazon S3 bucket. The company uses a customer managed AWS KMS key to encrypt objects in the S3 bucket.
A DevOps engineer wants to configure the pipeline to use an AWS CodeDeploy application in an AWS account named CodeDeployAccount to deploy the produced artifact.
The DevOps engineer updates the KMS key policy to grant the CodeDeployAccount account permission to use the key. The DevOps engineer configures an IAM role named DevOps_Role in the CodeDeployAccount account that has access to the CodeDeploy resources that the pipeline requires. The DevOps engineer updates an Amazon EC2 instance role that operates within the CodeDeployAccount account to allow access to the S3 bucket and the KMS key that is in the PipelineAccount account.
Which additional steps will meet these requirements?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
For cross-account deployments, CodePipeline must assume a role in the target account. Configure S3 bucket policy to allow the target account (CodeDeployAccount) access, trust relationship in DevOps_Role to allow assumption by the pipeline's account (PipelineAccount), and update CodePipeline_Service_Role with sts:
AssumeRole permissions. This cross-account pipeline setup is documented in "Cross-Account Access for AWS CodePipeline."
NEW QUESTION # 210
A company has configured an Amazon S3 event source on an AWS Lambda function The company needs the Lambda function to run when a new object is created or an existing object IS modified In a particular S3 bucket The Lambda function will use the S3 bucket name and the S3 object key of the incoming event to read the contents of the created or modified S3 object The Lambda function will parse the contents and save the parsed contents to an Amazon DynamoDB table.
The Lambda function's execution role has permissions to read from the S3 bucket and to write to the DynamoDB table, During testing, a DevOps engineer discovers that the Lambda function does not run when objects are added to the S3 bucket or when existing objects are modified.
Which solution will resolve this problem?
Answer: C
Explanation:
* Option A is incorrect because increasing the memory of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source.
Increasing the memory of the Lambda function might improve its performance or reduce its execution time, but it does not affect its invocation. Moreover, increasing the memory of the Lambda function might incur higher costs, as Lambda charges based on the amount of memory allocated to the function.
* Option B is correct because creating a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket is a necessary step to configure an S3 event source. A resource policy is a JSON document that defines who can access a Lambda resource and underwhat conditions. By granting Amazon S3 permission to invoke the Lambda function, the company ensures that the Lambda function runs when a new object is created or an existing object is modified in the S3 bucket1.
* Option C is incorrect because configuring an Amazon Simple Queue Service (Amazon SQS) queue as an On-Failure destination for the Lambda function does not help with triggering the Lambda function.
An On-Failure destination is a feature that allows Lambda to send events to another service, such as SQS or Amazon Simple Notification Service (Amazon SNS), when a function invocation fails.
However, this feature only applies to asynchronous invocations, and S3 event sources use synchronous invocations. Therefore, configuring an SQS queue as an On-Failure destination would have no effect on the problem.
* Option D is incorrect because provisioning space in the /tmp folder of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source. Provisioning space in the /tmp folder of the Lambda function might help with processing large files from the S3 bucket, as it provides temporary storage for up to 512 MB of data. However, it does not affect the invocation of the Lambda function.
References:
* Using AWS Lambda with Amazon S3
* Lambda resource access permissions
* AWS Lambda destinations
* [AWS Lambda file system]
NEW QUESTION # 211
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