Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

Configuring the Aurora MySQL DB cluster to publish slow query and error logs to AmazonCloudWatch Logs will allow the solutions architect to monitor and troubleshoot the database performance by identifying slow or problematic queries1. CloudWatch Logs also provides features such as metric filters, alarms, and dashboards to analyze and visualize the log data2.

Implementing the AWS X-Ray SDK to trace incoming HTTP requests on the EC2 instances and implement tracing of SQL queries with the X-Ray SDK for Java will allow the solutions architect to measure and map the end-to-end latency and performance of the web application3. X-Ray traces show how requests travel through the application components, such as web servers, load balancers, microservices, and databases4. X-Ray also provides features such as service maps, annotations, histograms, and error rates to analyze and optimize the application performance.

Installing and configuring an Amazon CloudWatch Logs agent on the EC2 instances to send the Apache logs to CloudWatch Logs will allow the solutions architect to monitor and troubleshoot the web server performance by collecting and storing the Apache access and error logs. CloudWatch Logs also provides features such as metric filters, alarms, and dashboards to analyze and visualize the log data2.

Publishing Aurora MySQL logs to Amazon CloudWatch Logs

Working with log data in CloudWatch Logs

Instrumenting your application with the X-Ray SDK for Java

Tracing requests with AWS X-Ray

[Analyzing application performance with AWS X-Ray]

[Using CloudWatch Logs with your Apache web server]

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.

The correct answer is A, D, and F. Existing AWS accounts can be invited into an AWS Organizations organization, and SCPs are the correct organization-level mechanism to enforce preventive controls such as required tagging. Because OUs contain accounts, not individual EC2 instances, development workloads must be recreated or migrated into an account that is placed under the development OU. Amazon Inspector is the correct service for automated EC2 vulnerability scanning, and Security Hub can aggregate and centralize findings across an organization. For patching, AWS Systems Manager Patch Manager can be managed across an organization through delegated administration and organization-wide patch policies, which reduces operational overhead compared with configuring each account separately. Trusted Advisor is not the right vulnerability scanning service, and configuring Patch Manager separately in every account creates unnecessary administration.