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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q409-Q414):
NEW QUESTION # 409
A company hosts an application on AWS. The application reads and writes objects that are stored in a single Amazon S3 bucket. The company must modify the application to deploy the application in two AWS Regions.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create a new S3 bucket in a second Region Deploy the application in the second Region.
Configure the application to use the new S3 bucket. Set up S3 Cross-Region Replication (CRR) from the original S3 bucket to the new S3 bucket. - B. Set up an Amazon CloudFront distribution with the S3 bucket as an origin. Deploy the application to a second Region Modify the application to use the CloudFront distribution. Use AWS Global Accelerator to access the data in the S3 bucket.
- C. Create a new S3 bucket in a second Region. Set up bidirectional S3 Cross-Region Replication (CRR) between the original S3 bucket and the new S3 bucket. Configure an S3 Multi-Region Access Point that uses both S3 buckets. Deploy a modified application to both Regions.
- D. Set up an S3 gateway endpoint with the S3 bucket as an origin. Deploy the application to a second Region. Modify the application to use the new S3 gateway endpoint. Use S3 Intelligent- Tiering on the S3 bucket.
Answer: C
Explanation:
https://aws.amazon.com/s3/features/multi-region-access-points/
NEW QUESTION # 410
A company built an ecommerce website on AWS using a three-tier web architecture. The application is Java- based and composed of an Amazon CloudFront distribution, an Apache web server layer of Amazon EC2 instances in an Auto Scaling group, and a backend Amazon Aurora MySQL database.
Last month, during a promotional sales event, users reported errors and timeouts while adding items to their shopping carts. The operations team recovered the logs created by the web servers and reviewed Aurora DB cluster performance metrics. Some of the web servers were terminated before logs could be collected and the Aurora metrics were not sufficient for query performance analysis.
Which combination of steps must the solutions architect take to improve application performance visibility during peak traffic events? (Choose three.)
- A. Enable Aurora MySQL DB cluster performance benchmarking and publish the stream to AWS X-Ray.
- B. Enable and configure AWS CloudTrail to collect and analyze application activity from Amazon EC2 and Aurora.
- C. Configure the Aurora MySQL DB cluster to publish slow query and error logs to Amazon CloudWatch Logs.
- D. Implement 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.
- E. Install and configure an Amazon CloudWatch Logs agent on the EC2 instances to send the Apache logs to CloudWatch Logs.
- F. Configure the Aurora MySQL DB cluster to stream slow query and error logs to Amazon Kinesis
Answer: C,D,E
Explanation:
* 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]
NEW QUESTION # 411
A company runs a content management application on a single Windows Amazon EC2 instance in a development environment. The application reads and writes static content to a 2 TB Amazon Elastic Block Store (Amazon EBS) volume that is attached to the instance as the root device. The company plans to deploy this application in production as a highly available and fault-tolerant solution that runs on at least three EC2 instances across multiple Availability Zones.
A solutions architect must design a solution that joins all the instances that run the application to an Active Directory domain. The solution also must implement Windows ACLs to control access to file contents. The application always must maintain exactly the same content on all running instances at any given point in time.
Which solution will meet these requirements with the LEAST management overhead?
- A. Create a new AMI from the current EC2 instance that is running. Create an Amazon FSx for Lustre file system. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Implement a user data script to join the instance to the AD domain and mount the FSx for Lustre file system.
- B. Create an Amazon Elastic File System (Amazon EFS) file share. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Implement a user data script to install the application, join the instance to the AD domain, and mount the EFS file share.
- C. Create a new AMI from the current EC2 instance that is running. Create an Amazon Elastic File System (Amazon EFS) file system. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Perform a seamless domain join to join the instance to the AD domain.
- D. Create an Amazon FSx for Windows File Server file system. Create an Auto Scaling group that extends across three Availability Zones and maintains a minimum size of three instances. Implement a user data script to install the application and mount the FSx for Windows File Server file system. Perform a seamless domain join to join the instance to the AD domain.
Answer: D
Explanation:
https://docs.aws.amazon.com/fsx/latest/WindowsGuide/what-is.html
https://docs.aws.amazon.com/directoryservice/latest/admin-guide/ms_ad_join_instance.html
NEW QUESTION # 412
A company has migrated an application from on premises to AWS. The application frontend is a static website that runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). The application backend is a Python application that runs on three EC2 instances behind another ALB. The EC2 instances are large, general purpose On-Demand Instances that were sized to meet the on-premises specifications for peak usage of the application.
The application averages hundreds of thousands of requests each month. However, the application is used mainly during lunchtime and receives minimal traffic during the rest of the day.
A solutions architect needs to optimize the infrastructure cost of the application without negatively affecting the application availability.
Which combination of steps will meet these requirements? (Choose two.)
- A. Deploy the application frontend by using AWS Elastic Beanstalk. Use the same instance type for the nodes.
- B. Change all the EC2 instances to compute optimized instances that have the same number of cores as the existing EC2 instances.
- C. Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.
- D. Move the application frontend to a static website that is hosted on Amazon S3.
- E. Change all the backend EC2 instances to Spot Instances.
Answer: D,E
Explanation:
Explanation
Moving the application frontend to a static website that is hosted on Amazon S3 will save cost as S3 is cheaper than running EC2 instances.
Using Spot instances for the backend EC2 instances will also save cost, as they are significantly cheaper than On-Demand instances. This will be suitable for the application, as it has minimal traffic during the rest of the day, and the availability of spot instances will not negatively affect the application's availability.
NEW QUESTION # 413
A company is running a three-tier web application in an on-premises data center. The frontend is a PHP application that is served by an Apache web server. The middle tier is a monolithic Java SE application. The storage tier is a 60 TB PostgreSQL database.
The three-tier web application recently crashed and became unresponsive. The database also reached capacity because of read operations. The company wants to migrate to AWS to resolve these issues and improve scalability, Which combination of steps will meet these requirements with the LEAST development effort? (Select THREE.)
- A. Create an AWS Elastic Beanstalk environment for Java to host the Java SE application.
- B. Host the static single-page application on Amazon S3. Use an Amazon CloudFront distribution to serve the application.
- C. Migrate the PostgreSQL database to an Amazon EC2 instance that is larger than the on- premisesPostgreSQL database.
- D. Use AWS DMS to replatform the PostgreSQL database to an Amazon Aurora PostgreSQL database.Use Aurora Auto Scaling for read replicas.
- E. Configure an Auto Scaling group of Amazon EC2 instances behind an Application Load Balancer to host the web server. Use Amazon EFS for the frontend static assets.
- F. Create a Docker container to run the Java SE application. Use AWS Fargate to host the container.
Answer: A,D,E
NEW QUESTION # 414
......
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