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| Section | Weight | Objectives |
|---|---|---|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized storage solutions
|
| Design Secure Architectures | 30% | - Determine appropriate data security controls
|
| Design High-Performing Architectures | 24% | - Design high-performing and elastic compute solutions
|
| Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
|
Finding 60 exam preparation material that suits your learning preferences, timetable, and objectives is essential to prepare successfully for the test. You can prepare for the Amazon SAA-C03 test in a short time and attain the AWS Certified Solutions Architect - Associate certification exam with the aid of our updated and valid exam questions. We emphasize quality over quantity, so we provide you with Amazon SAA-C03 Actual Exam questions to help you succeed without overwhelming you.
NEW QUESTION # 874
A company is preparing to launch a public-facing web application in the AWS Cloud. The architecture consists of Amazon EC2 instances within a VPC behind an Elastic Load Balancer (ELB). A third-party service is used for the DNS. The company's solutions architect must recommend a solution to detect and protect against large-scale DDoS attacks.
Which solution meets these requirements?
Answer: D
Explanation:
Explanation
https://aws.amazon.com/shield/faqs/
NEW QUESTION # 875
A solutions architect is designing a two-tier web application. The application consists of a public- facing web tier hosted on Amazon EC2 in public subnets. The database tier consists of Microsoft SQL Server running on Amazon EC2 in a private subnet. Security is a high priority for the company. How should security groups be configured in this situation? (Choose two.)
Answer: D,E
Explanation:
"Security groups create an outbound rule for every inbound rule." Not completely right. Statefull does NOT mean that if you create an inbound (or outbound) rule, it will create an outbound (or inbound) rule. What it does mean is: suppose you create an inbound rule on port 443 for the X ip.
When a request enters on port 443 from X ip, it will allow traffic out for that request in the port
443. However, if you look at the outbound rules, there will not be any outbound rule on port 443 unless explicitly create it. In ACLs, which are stateless, you would have to create an inbound rule to allow incoming requests and an outbound rule to allow your application responds to those incoming requests.
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html#SecurityGroupRul es
NEW QUESTION # 876
A company uses an organization in AWS Organizations to manage AWS accounts that contain applications.
The company sets up a dedicated monitoring member account in the organization. The company wants to query and visualize observability data across the accounts by using Amazon CloudWatch.
Which solution will meet these requirements?
Answer: A
Explanation:
CloudWatch cross-account observability is a feature that allows you to monitor and troubleshoot applications that span multiple accounts within a Region. You can seamlessly search, visualize, and analyze your metrics, logs, traces, and Application Insights applications in any of the linked accounts without account boundaries1.
To enable CloudWatch cross-account observability, you need to set up one or more AWS accounts as monitoring accounts and link them with multiple source accounts. A monitoring account is a central AWS account that can view and interact with observability data shared by other accounts. A source account is an individual AWS account that shares observability data and resources with one or more monitoring accounts1.
To create links between monitoring accounts and source accounts, you can use the CloudWatch console, the AWS CLI, or the AWS API. You can also use AWS Organizations to link accounts in an organization or organizational unit to the monitoring account1. CloudWatch provides a CloudFormation template that you can deploy in each source account to share observability data with the monitoring account. The template creates a sink resource in the monitoring account and an observability link resource in the source account. The template also creates the necessary IAM roles and policies to allow cross-account access to the observability data2.
Therefore, the solution that meets the requirements of the question is to enable CloudWatch cross-account observability for the monitoring account and deploy the CloudFormation template provided by the monitoring account in each AWS account to share the data with the monitoring account.
The other options are not valid because:
* Service control policies (SCPs) are a type of organization policy that you can use to manage permissions in your organization. SCPs offer central control over the maximum available permissions for all
* accounts in your organization, allowing you to ensure your accounts stay within your organization's access control guidelines3. SCPs do not provide access to CloudWatch in the monitoring account, but rather restrict the actions that users and roles can perform in the source accounts. SCPs are not required to enable CloudWatch cross-account observability, as the CloudFormation template creates the necessary IAM roles and policies for cross-account access2.
* IAM users are entities that you create in AWS to represent the people or applications that use them to interact with AWS. IAM users can have permissions to access the resources in your AWS account4.
Configuring a new IAM user in the monitoring account and an IAM policy in each AWS account to have access to query and visualize the CloudWatch data in the account is not a valid solution, as it does not enable CloudWatch cross-account observability. This solution would require the IAM user to switch between different accounts to view the observability data, which is not seamless and efficient. Moreover, this solution would not allow the IAM user to search, visualize, and analyze metrics, logs, traces, and Application Insights applications across multiple accounts in a single place1.
* Cross-account IAM policies are policies that allow you to delegate access to resources that are in different AWS accounts that you own. You attach a cross-account policy to a user or group in one account, and then specify which accounts the user or group can access5. Creating a new IAM user in the monitoring account and cross-account IAM policies in each AWS account is not a valid solution, as it does not enable CloudWatch cross-account observability. This solution would also require the IAM user to switch between different accounts to view the observability data, which is not seamless and efficient. Moreover, this solution would not allow the IAM user to search, visualize, and analyze metrics, logs, traces, and Application Insights applications across multiple accounts in a single place1.
References: CloudWatch cross-account observability, CloudFormation template for CloudWatch cross-account observability, Service control policies, IAM users, Cross-account IAM policies
NEW QUESTION # 877
A company hosts an end-user application on Amazon EC2 instances behind an Application Load Balancer (ALB). The company needs to configure end-to-end encryption between the ALB and the EC2 instances. Which solution will meet this requirement with the LEAST operational effort?
Answer: C
Explanation:
To achieve end-to-end encryption, both the ALB and the EC2 instances must terminate HTTPS with valid certificates. Importing a third-party SSL certificate into AWS Certificate Manager (ACM) for the ALB and installing the same certificate on the EC2 instances provides a consistent, trusted certificate at both ends. ACM then manages the certificate on the ALB (including renewal integration), and you only need to maintain the certificate on the EC2 instances, which is simpler and requires less operational effort than introducing CloudHSM or trying to use ACM-issued public certificates directly on EC2.
NEW QUESTION # 878
A company has a web-based ticketing service that utilizes Amazon SQS and a fleet of EC2 instances.
The EC2 instances that consume messages from the SQS queue are configured to poll the queue as often as possible to keep end-to-end throughput as high as possible. The Solutions Architect noticed that polling the queue in tight loops is using unnecessary CPU cycles, resulting in increased operational costs due to empty responses.
In this scenario, what should the Solutions Architect do to make the system more cost-effective?
Answer: D
Explanation:
In this scenario, the application is deployed in a fleet of EC2 instances that are polling messages from a single SQS queue. Amazon SQS uses short polling by default, querying only a subset of the servers (based on a weighted random distribution) to determine whether any messages are available for inclusion in the response. Short polling works for scenarios that require higher throughput. However, you can also configure the queue to use Long polling instead, to reduce cost.
The ReceiveMessageWaitTimeSeconds is the queue attribute that determines whether you are using Short or Long polling. By default, its value is zero which means it is using Short polling. If it is set to a value greater than zero, then it is Long polling.
Hence, configuring Amazon SQS to use long polling by setting the ReceiveMessageWaitTimeSeconds to a number greater than zero is the correct answer. Quick facts about SQS Long Polling:
- Long polling helps reduce your cost of using Amazon SQS by reducing the number of empty responses when there are no messages available to return in reply to a ReceiveMessage request sent to an Amazon SQS queue and eliminating false empty responses when messages are available in the queue but aren't included in the response.
- Long polling reduces the number of empty responses by allowing Amazon SQS to wait until a message is available in the queue before sending a response. Unless the connection times out, the response to the ReceiveMessage request contains at least one of the available messages, up to the maximum number of messages specified in the ReceiveMessage action.
- Long polling eliminates false empty responses by querying all (rather than a limited number) of the servers. Long polling returns messages as soon any message becomes available.
Explanation:
Reference: https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs- long-polling.ht ml Check out this Amazon SQS Cheat Sheet: https://tutorialsdojo.com/amazon-sqs/
NEW QUESTION # 879
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