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Amazon Web Services (AWS) is a cloud computing platform that provides a wide range of services and tools for businesses and organizations of all sizes. The AWS Certified Solutions Architect - Associate (SAA-C02) exam covers a variety of topics, including AWS architecture, AWS services, security, and deployment. Candidates must possess a strong understanding of AWS services and infrastructure, as well as experience designing and deploying scalable, highly available, and fault-tolerant systems.
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The AWS Certified Solutions Architect - Associate (SAA-C02) exam is a certification that validates an individual's skills and expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. AWS-Solutions-Architect-Associate Exam is intended for professionals who work as solutions architects, system administrators, or developers and want to demonstrate their proficiency in AWS services and solutions.
NEW QUESTION # 108
A company has NFS servers in an on-premises data center that need to periodically back up small amounts of data to Amazon S3.
Which solution marts these requirement and is MOST cost-effective?
Answer: D
NEW QUESTION # 109
A company needs a solution to automate email ingestion. The company needs to automatically parse email messages, look for email attachments, and save any attachments to an Amazon S3 bucket in near real time.
Email volume varies significantly from day to day.
Which solution will meet these requirements?
Answer: A
Explanation:
AmazonSES (Simple Email Service)allows for the automatic ingestion of incoming emails. By setting up email receiving in SES and creating a rule set with a receipt rule, you can configure SES to invoke anAWS Lambda functionwhenever an email is received. The Lambda function can then process the email body and attachments, saving any attachments to an Amazon S3 bucket. This solution is highly scalable, cost-effective, and provides near real-time processing of emails with minimal operational overhead.
Option B (Content filtering): This only filters emails based on content and does not provide the functionality to save attachments to S3.
Option C (S3 Event Notifications): While SES can store emails in S3, SES with Lambda offers more flexibility for processing attachments in real-time.
Option D (EventBridge rule): EventBridge cannot directly listen for incoming emails, making this solution incorrect.
AWS References:
Receiving Email with Amazon SES
Invoking Lambda from SES
NEW QUESTION # 110
A solutions architect must design a solution that uses Amazon CloudFront with an Amazon S3 origin to store a static website. The company's security policy requires that all website traffic be inspected by AWS WAR How should the solutions architect comply with these requirements?
Answer: A
Explanation:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/distribution-web-awswaf.html
NEW QUESTION # 111
A company hosts a containerized web application on a fleet of on-premises servers that process incoming requests. The number of requests is growing quickly. The on-premises servers cannot handle the increased number of requests. The company wants to move the application to AWS with minimum code changes and minimum development effort.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS Fargate is a serverless compute engine that lets users run containers without having to manage servers or clusters of Amazon EC2 instances1. Users can use AWS Fargate on Amazon Elastic Container Service (Amazon ECS) to run the containerized web application with Service Auto Scaling. Amazon ECS is a fully managed container orchestration service that supports both Docker and Kubernetes2. Service Auto Scaling is a feature that allows users to adjust the desired number of tasks in an ECS service based on CloudWatch metrics, such as CPU utilization or request count3. Users can use AWS Fargate on Amazon ECS to migrate the application to AWS with minimum code changes and minimum development effort, as they only need to package their application in containers and specify the CPU and memory requirements.
Users can also use an Application Load Balancer to distribute the incoming requests. An Application Load Balancer is a load balancer that operates at the application layer and routes traffic to targets based on the content of the request. Users can register their ECS tasks as targets for an Application Load Balancer and configure listener rules to route requests to different target groups based on path or host headers. Users can use an Application Load Balancer to improve the availability and performance of their web application.
NEW QUESTION # 112
A company must generate sales reports at the beginning of every month. The reporting process launches 20 Amazon EC2 instances on the first of the month. The process runs for 7 days and cannot be interrupted. The company wants to minimize costs.
Which pricing model should the company choose?
Answer: B
Explanation:
Explanation
Scheduled Reserved Instances
Scheduled Reserved Instances (Scheduled Instances) enable you to purchase capacity reservations that recur on a daily, weekly, or monthly basis, with a specified start time and duration, for a one-year term. You reserve the capacity in advance, so that you know it is available when you need it. You pay for the time that the instances are scheduled, even if you do not use them.
Scheduled Instances are a good choice for workloads that do not run continuously, but do run on a regular schedule. For example, you can use Scheduled Instances for an application that runs during business hours or for batch processing that runs at the end of the week.
If you require a capacity reservation on a continuous basis, Reserved Instances might meet your needs and decrease costs.
How Scheduled Instances Work
Amazon EC2 sets aside pools of EC2 instances in each Availability Zone for use as Scheduled Instances. Each pool supports a specific combination of instance type, operating system, and network.
To get started, you must search for an available schedule. You can search across multiple pools or a single pool. After you locate a suitable schedule, purchase it.
You must launch your Scheduled Instances during their scheduled time periods, using a launch configuration that matches the following attributes of the schedule that you purchased: instance type, Availability Zone, network, and platform. When you do so, Amazon EC2 launches EC2 instances on your behalf, based on the specified launch specification. Amazon EC2 must ensure that the EC2 instances have terminated by the end of the current scheduled time period so that the capacity is available for any other Scheduled Instances it is reserved for. Therefore, Amazon EC2 terminates the EC2 instances three minutes before the end of the current scheduled time period.
You can't stop or reboot Scheduled Instances, but you can terminate them manually as needed. If you terminate a Scheduled Instance before its current scheduled time period ends, you can launch it again after a few minutes. Otherwise, you must wait until the next scheduled time period.
The following diagram illustrates the lifecycle of a Scheduled Instance.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-scheduled-instances.html
NEW QUESTION # 113
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