Amazon Web Services dumpsboss changed Sap-c02 Exam Questions by Orion q126 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Professional
Exam Code:	SAP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	614 Q&A's	Shared By:	orion

Question 44

A company is running a containerized workload on AWS. The workload consists of several data-processing services that run on a group of Amazon EC2 instances.

The company uploads new data to an Amazon S3 bucket every night. A cron job on each EC2 instance starts the data processing every night. The amount of uploaded data varies. The data-processing tasks can take hours to finish running. After the data is processed, the services remain idle until the next processing window occurs the next night. The company needs a solution to modernize the architecture and reduce the operational overhead.

Which solution will meet these requirements?

Options:

Migrate the workload to AWS Lambda functions that run the container images. Configure an Amazon EventBridge rule to filter S3 events and invoke the Lambda functions when data is uploaded to the S3 bucket.

Migrate the workload to run as tasks in an Amazon ECS cluster that runs on AWS Fargate. Create an AWS Step Functions state machine to invoke the Fargate tasks. Configure S3 Event Notifications to invoke the state machine tasks when data is uploaded to the S3 bucket.

Migrate the workload to run as tasks in an Amazon ECS cluster that runs on AWS Fargate. Create an AWS Step Functions state machine to invoke the Fargate tasks. Configure an Amazon EventBridge rule to invoke the state machine when data is uploaded to the S3 bucket.

Migrate the workload to AWS Lambda functions by packaging the container images as Lambda layers. Configure S3 Event Notifications to invoke the Lambda functions when data is uploaded to the S3 bucket.

Discussion

Answer:

Explanation:

The workload is containerized, runs for hours, and is event-driven by nightly data arrival in Amazon S3. The current architecture uses EC2 instances and cron jobs, which results in operational overhead (managing instances, patching, scaling, scheduling) and idle compute between processing windows.

A key constraint is that the processing tasks can take hours. AWS Lambda has maximum execution duration limits that make it unsuitable for multi-hour batch processing. Even though Lambda can run container images, it still must complete within Lambda’s runtime limit. Packaging container images as Lambda layers is also not an appropriate pattern for long-running container workloads and adds complexity.

A modern, low-ops approach for long-running, containerized batch jobs is to run containers on AWS Fargate. Fargate removes the need to manage EC2 instances and allows tasks to run for extended periods as needed, scaling based on demand. Because the workload is composed of several data-processing services that likely need orchestration (for example, fan-out, sequencing, retries, parallelism), AWS Step Functions is well suited to coordinate the workflow and invoke the appropriate ECS tasks.

For triggering based on new S3 data, Amazon EventBridge provides a managed, scalable event bus for AWS service events, including S3 object events, and can route events to targets such as Step Functions state machines. Using EventBridge reduces the need for direct point-to-point notification wiring and provides centralized event routing, filtering, and monitoring.

Option C combines all the right elements: it runs the containers as ECS tasks on Fargate to eliminate EC2 management and idle capacity, uses Step Functions to orchestrate tasks that can run for hours, and uses EventBridge to trigger the state machine when new data is uploaded to S3. This replaces the per-instance cron scheduling with an event-driven serverless orchestration model and significantly reduces operational overhead.

Option B is close but is less appropriate as written because S3 Event Notifications are typically configured to send to Amazon SQS, Amazon SNS, or AWS Lambda. Triggering Step Functions directly is more naturally handled through EventBridge rules. EventBridge is also the recommended event routing layer for integrating service events into workflows.

Option A is not suitable because Lambda is not designed for multi-hour processing jobs due to runtime limits.

Option D is incorrect because Lambda layers are for sharing libraries and runtime dependencies, not for packaging multi-hour container workloads. It also still depends on Lambda runtime limits and does not match the operational model for long-running batch processing.

Therefore, option C is the best modernization approach with the least operational overhead.

[References:AWS documentation on AWS Fargate for running container workloads without managing EC2 instances and supporting long-running tasks.AWS documentation on AWS Step Functions for orchestrating long-running workflows, retries, parallelism, and service integrations including Amazon ECS.AWS documentation on Amazon EventBridge for routing Amazon S3 object events to targets such as Step Functions state machines for event-driven architectures., , ]

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Question 45

A company has an application that generates reports and stores them in an Amazon S3 bucket When a user accesses their report, the application generates a signed URL to allow the user to download the report. The company's security team has discovered that the files are public and that anyone can download them without authentication The company has suspended the generation of new reports until the problem is resolved.

Which set of actions will immediately remediate the security issue without impacting the application's normal workflow?

Options:

Create an AWS Lambda function that applies a deny all policy for users who are not authenticated. Create a scheduled event to invoke the Lambda function

Review the AWS Trusted Advisor bucket permissions check and implement the recommended actions.

Run a script that puts a private ACL on all of the objects in the bucket.

Use the Block Public Access feature in Amazon S3 to set the IgnorePublicAcls option to TRUE on the bucket.

Discussion

Question 46

A company has several AWS accounts. A development team is building an automation framework for cloud governance and remediation processes. The automation framework uses AWS Lambda functions in a centralized account. A solutions architect must implement a least privilege permissions policy that allows the Lambda functions to run in each of the company's AWS accounts.

Which combination of steps will meet these requirements? (Choose two.)

Options:

In the centralized account, create an IAM role that has the Lambda service as a trusted entity. Add an inline policy to assume the roles of the other AWS accounts.

In the other AWS accounts, create an IAM role that has minimal permissions. Add the centralized account's Lambda IAM role as a trusted entity.

In the centralized account, create an IAM role that has roles of the other accounts as trusted entities. Provide minimal permissions.

In the other AWS accounts, create an IAM role that has permissions to assume the role of the centralized account. Add the Lambda service as a trusted entity.

In the other AWS accounts, create an IAM role that has minimal permissions. Add the Lambda service as a trusted entity.

Discussion

Question 47

A company wants to use AWS for disaster recovery for an on-premises application. The company has hundreds of Windows-based servers that run the application. All the servers mount a common share.

The company has an RTO of 15 minutes and an RPO of 5 minutes. The solution must support native failover and fallback capabilities.

Which solution will meet these requirements MOST cost-effectively?

Options:

Create an AWS Storage Gateway File Gateway. Schedule daily Windows server backups. Save the data lo Amazon S3. During a disaster, recover the on-premises servers from the backup. During failback. run the on-premises servers on Amazon EC2 instances.

Create a set of AWS CloudFormation templates to create infrastructure. Replicate all data to Amazon Elastic File System (Amazon EFS) by using AWS DataSync. During a disaster, use AWS CodePipeline to deploy the templates to restore the on-premises servers. Fail back the data by using DataSync.

Create an AWS Cloud Development Kit (AWS CDK) pipeline to stand up a multi-site active-active environment on AWS. Replicate data into Amazon S3 by using the s3 sync command. During a disaster, swap DNS endpoints to point to AWS. Fail back the data by using the s3 sync command.

Use AWS Elastic Disaster Recovery to replicate the on-premises servers. Replicate data to an Amazon FSx for Windows File Server file system by using AWS DataSync. Mount the file system to AWS servers. During a disaster, fail over the on-premises servers to AWS. Fail back to new or existing servers by using Elastic Disaster Recovery.

Discussion

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