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The AWS Certified Solutions Architect - Associate (SAA-C03) (AWS-Solutions-Associate) certification is one of the hottest career advancement credentials in the modern Amazon world. The Amazon AWS-Solutions-Associate certification can help you to demonstrate your expertise and knowledge level. With only one badge of AWS-Solutions-Associate Certification, successful candidates can advance their careers and increase their earning potential.
The AWS Certified Solutions Architect - Associate (SAA-C03) certification is suitable for professionals such as solutions architects, developers, and system administrators who work with AWS. The AWS Certified Solutions Architect - Associate certification is a valuable credential for anyone looking to demonstrate their expertise in designing and deploying applications on AWS. It is also a prerequisite for other AWS certifications such as the AWS Certified Solutions Architect - Professional and the AWS Certified DevOps Engineer - Professional certifications.
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The SAA-C02 certification exam consists of multiple-choice and multiple-response questions that cover a range of AWS services and concepts, including EC2, S3, RDS, VPC, and more. AWS-Solutions-Associate Exam is a comprehensive test of the candidate’s knowledge of AWS services and their ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform.
NEW QUESTION # 68
A company hosts its multi-tier, public web application in the AWS Cloud. The web application runs on Amazon EC2 instances, and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build asolution to analyze the performance of the web application with a granularity of no more than 2 minutes.
What should the solutions architect do to meet this requirement?
Answer: C
Explanation:
To analyze the performance of the web application with granularity of no more than 2 minutes, enablingdetailed monitoringon EC2 instances is the best solution. By default, CloudWatch provides metrics at a 5-minute interval. Enabling detailed monitoring allows you to collect metrics at 1-minute intervals, which will give you the level of granularity you need to analyze performance during peak traffic.
Amazon CloudWatch metrics can then be used to analyze CPU utilization, memory usage, disk I/O, and network throughput, among other performance-related metrics, at the desired granularity.
Option A: Sending CloudWatch logs to Redshift for analysis is unnecessary and overcomplicated for simple performance analysis, which can be done using CloudWatch metrics alone.
Option C: Fetching EC2 logs via Lambda adds complexity, and CloudWatch metrics already provide the required data for performance analysis.
Option D: Sending logs to S3 and using Redshift for analysis is also more complex than necessary for simple performance monitoring.
AWS References:
Monitoring Amazon EC2 with CloudWatch
Amazon CloudWatch Detailed Monitoring
NEW QUESTION # 69
A solutions architect at an ecommerce company wants to back up application log data to Amazon S3 The solutions architect is unsure how frequently the logs will be accessed or which logs will be accessed the most The company wants to keep costs as low as possible by using the appropriate S3 storage class.
Which S3 storage class should be implemented to meet these requirements?
Answer: D
Explanation:
Explanation
https://aws.amazon.com/s3/storage-classes/
NEW QUESTION # 70
A company uses GPS trackers to document the migration patterns of thousands of sea turtles The trackers check every 5 minutes to see if a turtle has moved more than 100 yards (91 4 meters) If a turtle has moved its tracker sends the new coordinates to a web application running on three Amazon EC2 instances that are in multiple Availability Zones in one AWS Region Recently, the web application was overwhelmed while processing an unexpected volume of tracker data Data was lost with no way to replay the events A solutions architect must prevent this problem from happening again and needs a solution with the least operationa overhead What should the solutions architect do to meet these requirements''
Answer: B
NEW QUESTION # 71
A company hosts an application used to upload files to an Amazon S3 bucket Once uploaded, the files are processed to extract metadata, which takes less than 5 seconds. The volume and frequency of the uploads vanes from a few files each hour to hundreds of concurrent uploads. The company has asked a solutions architect to design a cost effective architecture that will meet these requirements.
What should the solutions architect recommend?
Answer: A
NEW QUESTION # 72
A company runs a container application on a Kubernetes cluster in the company's data center The application uses Advanced Message Queuing Protocol (AMQP) to communicate with a message queue The data center cannot scale fast enough to meet the company's expanding business needs The company wants to migrate the workloads to AWS Which solution will meet these requirements with the LEAST operational overhead? \
Answer: A
Explanation:
This option is the best solution because it allows the company to migrate the container application to AWS with minimal changes and leverage a managed service to run the Kubernetes cluster and the message queue.
By using Amazon EKS, the company can run the container application on a fully managed Kubernetes control plane that is compatible with the existingKubernetes tools and plugins. Amazon EKS handles the provisioning, scaling, patching, and security of the Kubernetes cluster, reducing the operational overhead and complexity. By using Amazon MQ, the company can use a fully managed message broker service that supports AMQP and other popular messaging protocols. Amazon MQ handles the administration, maintenance, and scaling of the message broker, ensuring high availability, durability, and security of the messages.
A). Migrate the container application to Amazon Elastic Container Service (Amazon ECS) Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option is not optimal because it requires the company to change the container orchestration platform from Kubernetes to ECS, which can introduce additional complexity and risk. Moreover, it requires the company to change the messaging protocol from AMQP to SQS, which can also affect the application logic and performance. Amazon ECS and Amazon SQS are both fully managed services that simplify the deployment and management of containers and messages, but they may not be compatible with the existing application architecture and requirements.
C). Use highly available Amazon EC2 instances to run the application Use Amazon MQ to retrieve the messages. This option is not ideal because it requires the company to manage the EC2 instances that host the container application. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, the company would need to install and maintain the Kubernetes software on the EC2 instances, which can also add complexity and risk. Amazon MQ is a fully managed message broker service that supports AMQP and other popular messaging protocols, but it cannot compensate for the lack of a managed Kubernetes service.
D). Use AWS Lambda functions to run the application Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option is not feasible because AWS Lambda does not support running container applications directly. Lambda functions are executed in a sandboxed environment that is isolated from other functions and resources. To run container applications on Lambda, the company would need to use a custom runtime or a wrapper library that emulates the container API, which can introduce additional complexity and overhead. Moreover, Lambda functions have limitations in terms of available CPU, memory, and runtime, which may not suit the application needs. Amazon SQS is a fully managed message queue service that supports asynchronous communication, but it does not support AMQP or other messaging protocols.
References:
1 Amazon Elastic Kubernetes Service - Amazon Web Services
2 Amazon MQ - Amazon Web Services
3 Amazon Elastic Container Service - Amazon Web Services
4 AWS Lambda FAQs - Amazon Web Services
NEW QUESTION # 73
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