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

Question # 169

A company is migrating a document processing workload to AWS. The company has updated many applications to natively use the Amazon S3 API to store, retrieve, and modify documents that a processing server generates at a rate of approximately 5 documents every second. After the document processing is finished, customers can download the documents directly from Amazon S3.

During the migration, the company discovered that it could not immediately update the processing server that generates many documents to support the S3 API. The server runs on Linux and requires fast local access to the files that the server generates and modifies. When the server finishes processing, the files must be available to the public for download within 30 minutes.

Which solution will meet these requirements with the LEAST amount of effort?

Options:

Migrate the application to an AWS Lambda function. Use the AWS SDK for Java to generate, modify, and access the files that the company stores directly in Amazon S3.

Set up an Amazon S3 File Gateway and configure a file share that is linked to the document store. Mount the file share on an Amazon EC2 instance by using NFS. When changes occur in Amazon S3, initiate a RefreshCache API call to update the S3 File Gateway.

Configure Amazon FSx for Lustre with an import and export policy. Link the new file system to an S3 bucket. Install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS.

Configure AWS DataSync to connect to an Amazon EC2 instance. Configure a task to synchronize the generated files to and from Amazon S3.

Buy Now

Answer:

Explanation:

The company should configure Amazon FSx for Lustre with an import and export policy. The company should link the new file system to an S3 bucket. The company should install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS. This solution will meet the requirements with the least amount of effort because Amazon FSx for Lustre is a fully managed service that provides a high-performance filesystem optimized for fast processing of workloads such as machine learning, highperformance computing, video processing, financial modeling, and electronic design automation1. Amazon FSx for Lustre can be linked to an S3 bucket and can import data from and export data to the bucket2. The import and export policy can be configured to automatically import new or changed objects from S3 and export new or changed files to S33. This will ensure that the files are available to the public for download within 30 minutes. Amazon FSx for Lustre supports NFS version 3.0 protocol for Linux clients.

The other options are not correct because:

Migrating the application to an AWS Lambda function would require a lot of effort and may not be feasible for the existing server that generates many documents. Lambda functions have limitations on execution time, memory, disk space, and network bandwidth.

Setting up an Amazon S3 File Gateway would not work because S3 File Gateway does not support write-back caching, which means that files written to the file share are uploaded to S3 immediately and are not available locally until they are downloaded again. This would not provide fast local access to the files that the server generates and modifies.

Configuring AWS DataSync to connect to an Amazon EC2 instance would not meet the requirement of making the files available to the public for download within 30 minutes. DataSync is a service that transfers data between on-premises storage systems and AWS storage services over the internet or AWS Direct Connect. DataSync tasks can be scheduled to run at specific times or intervals, but they are not triggered by file changes.

[References:, https://aws.amazon.com/fsx/lustre/, https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-fs-linked-data-repo.html, https://docs.aws.amazon.com/fsx/latest/LustreGuide/import-export-data-repositories.html, https://docs.aws.amazon.com/fsx/latest/LustreGuide/mounting-on-premises.html, https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html, https://docs.aws.amazon.com/storagegateway/latest/userguide/StorageGatewayConcepts.html, https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html, , , , , , ]

Question # 170

A company’s solutions architect is evaluating an AWS workload that was deployed several years ago. The application tier is stateless and runs on a single large Amazon EC2 instance that was launched from an AMI. The application stores data in a MySOL database that runs on a single EC2 instance.

The CPU utilization on the application server EC2 instance often reaches 100% and causes the application to stop responding. The company manually installs patches on the instances. Patching has caused

downtime in the past. The company needs to make the application highly available.

Which solution will meet these requirements with the LEAST development time?

Options:

Move the application tier to AWS Lambda functions in the existing VPC. Create an Application Load Balancer to distribute traffic across theLambda functbns. Use Amazon GuardDuty to scan the Lambda functions. Migrate the database to Amazon DocumentDB (with MongoDB compatibility).

Change the EC2 instance type to a smaller Graviton powered instance type. use the existing AMI to create a launch template for an Auto Scaling group. Create an Application Load Balancer to distribute traffic across the instances in the Auto Scaling group. Set the Auto Scaling group to scale based on CPU utilization. Migrate the database to Amazon DynamoDB.

Move the application tier to containers by using Docker. Run the containers on Amazon Elastic Container Service (Amazon ECS) with EC2 instances. Create an Application Load Balancer to distribute traffic across the ECS cluster Configure the ECS cluster to scale based on CPU utilization. Migrate the database to Amazon Neptune.

Create a new AMI that is configured with AWS Systems Manager Agent (SSM Agent). Use the new AMI to create a launch template for an Auto Scaling group. Use smaller instances in the Auto Scaling group. Create an Application Load Balancer to distribute traffic across the instances in the Auto Scaling group. Set the Auto Scaling group to scale based on CPU utilization. Migrate the database to Amazon Aurora MySQL.

Buy Now

Question # 171

A company migrated to AWS and uses AWS Business Support. The company wants to monitor thecost-effectiveness of Amazon EC2 instances. The EC2 instances have tags for department, business unit, and environment. Development EC2 instances have high cost but low utilization.

The company needs to detect and stop any underutilized development EC2 instances. Instances are underutilized if they had 10% or less average CPU utilization and 5 MB or less network I/O for at least 4 of the past 14 days.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Configure Amazon CloudWatch dashboards to monitor EC2 instance utilization based on tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized development EC2 instances.

Configure AWS Systems Manager to track EC2 instance utilization and report underutilized instances to Amazon CloudWatch. Filter the CloudWatch data by tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized EC2 instances.

Create an Amazon EventBridge rule to detect low utilization of EC2 instances reported by AWS Trusted Advisor. Configure the rule to invoke a Lambda function that filters the data by tags for department, business unit, and environment and stops underutilized development EC2 instances.

Create an AWS Lambda function to run daily to retrieve utilization data for all EC2 instances. Save the data to an Amazon DynamoDB table. Create a QuickSight dashboard that uses the DynamoDB table as a data source to identify and stop underutilized development EC2 instances.

Buy Now