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The AWS-Solutions-Associate certification is valid for two years, after which candidates must recertify to maintain their credentials. Recertification can be achieved by passing the latest version of the AWS-Solutions-Associate Exam or by achieving a higher-level certification, such as the AWS Certified Solutions Architect - Professional.
NEW QUESTION # 233
A company requires a durable backup storage solution for its on-premises database servers while ensuring on-premises applications maintain access to these backups for quick recovery. The company will use AWS storage services as the destination for these backups A solutions architect is designing a solution with minimal operational overhead Which solution should the solutions architect implement?
Answer: B
Explanation:
Explanation
Network Load Balancer overview
A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. After the load balancer receives a connection request, it selects a target from the target group for the default rule. It attempts to open a TCP connection to the selected target on the port specified in the listener configuration.
When you enable an Availability Zone for the load balancer, Elastic Load Balancing creates a load balancer node in the Availability Zone. By default, each load balancer node distributes traffic across the registered targets in its Availability Zone only. If you enable cross-zone load balancing, each load balancer node distributes traffic across the registered targets in all enabled Availability Zones. For more information, see Availability Zones.
If you enable multiple Availability Zones for your load balancer and ensure that each target group has at least one target in each enabled Availability Zone, this increases the fault tolerance of your applications. For example, if one or more target groups does not have a healthy target in an Availability Zone, we remove the IP address for the corresponding subnet from DNS, but the load balancer nodes in the other Availability Zones are still available to route traffic. If a client doesn't honor the time-to-live (TTL) and sends requests to the IP address after it is removed from DNS, the requests fail.
For TCP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, destination port, and TCP sequence number. The TCP connections from a client have different source ports and sequence numbers, and can be routed to different targets. Each individual TCP connection is routed to a single target for the life of the connection.
For UDP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, and destination port. A UDP flow has the same source and destination, so it is consistently routed to a single target throughout its lifetime. Different UDP flows have different source IP addresses and ports, so they can be routed to different targets.
An Auto Scaling group contains a collection of Amazon EC2 instances that are treated as a logical grouping for the purposes of automatic scaling and management. An Auto Scaling group also enables you to use Amazon EC2 Auto Scaling features such as health check replacements and scaling policies. Both maintaining the number of instances in an Auto Scaling group and automatic scaling are the core functionality of the Amazon EC2 Auto Scaling service.
The size of an Auto Scaling group depends on the number of instances that you set as the desired capacity.
You can adjust its size to meet demand, either manually or by using automatic scaling.
An Auto Scaling group starts by launching enough instances to meet its desired capacity. It maintains this number of instances by performing periodic health checks on the instances in the group. The Auto Scaling group continues to maintain a fixed number of instances even if an instance becomes unhealthy. If an instance becomes unhealthy, the group terminates the unhealthy instance and launches another instance to replace it.
https://docs.aws.amazon.com/elasticloadbalancing/latest/network/introduction.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html
NEW QUESTION # 234
Your company has multiple IT departments, each with their own VPC. Some VPCs are located within the same AWS account, and others in a different AWS account. You want to peer together all VPCs to enable the IT departments to have full access to each others' resources. There are certain limitations placed on
VPC peering. Which of the following statements is incorrect in relation to VPC peering?
Answer: D
Explanation:
To create a VPC peering connection with another VPC, you need to be aware of the following limitations and rules:
You cannot create a VPC peering connection between VPCs that have matching or overlapping CIDR blocks.
You cannot create a VPC peering connection between VPCs in different regions.
You have a limit on the number active and pending VPC peering connections that you can have per VPC.
VPC peering does not support transitive peering relationships; in a VPC peering connection, your VPC will not have access to any other VPCs that the peer VPC may be peered with. This includes VPC peering connections that are established entirely within your own AWS account.
You cannot have more than one VPC peering connection between the same two VPCs at the same time.
The Maximum Transmission Unit (MTU) across a VPC peering connection is 1500 bytes.
A placement group can span peered VPCs; however, you will not get full-bisection bandwidth between instances in peered VPCs.
Unicast reverse path forwarding in VPC peering connections is not supported.
You cannot reference a security group from the peer VPC as a source or destination for ingress or egress rules in your security group. Instead, reference CIDR blocks of the peer VPC as the source or destination of your security group's ingress or egress rules.
Private DNS values cannot be resolved between instances in peered VPCs.
Reference:
http://docs.aws.amazon.com/AmazonVPC/latest/PeeringGuide/vpc-peering-overview.html#vpc-peering-li mitations
NEW QUESTION # 235
A company has an application that uses Docker containers in its local data center The application runs on a container host that stores persistent data in a volume on the host. The container instances use the stored persistent data.
The company wants to move the application to a fully managed service because the company does not want to manage any servers or storage infrastructure.
Which solution will meet these requirements?
Answer: C
Explanation:
This solution meets the requirements because it allows the company to move the application to a fully managed service without managing any servers or storage infrastructure. AWS Fargate is a serverless compute engine for containers that runs the Amazon ECS tasks. With Fargate, the company does not need to provision, configure, or scale clusters of virtual machines to run containers. Amazon EFS is a fully managed file system that can be accessed by multiple containers concurrently. With EFS, the company does not need to provision and manage storage capacity. EFS provides a simple interface to create and configure file systems quickly and easily. The company can use the EFS volume as a persistent storage volume mounted in the containers to store the persistent data. The company can also use the EFS mount helper to simplify the mounting process. References: Amazon ECS on AWS Fargate, Using Amazon EFS file systems with Amazon ECS, Amazon EFS mount helper.
NEW QUESTION # 236
A company has a requirement to control traffic entering and exiting subnets within its VPC. This includes the ability to explicitly allow or deny certain types of traffic.
This can be accomplished by implementing:
Answer: C
Explanation:
Explanation
https://aws.amazon.com/answers/networking/vpc-security-capabilities/
Network ACL
A network access control list (ACL) is an optional layer of security that provides a stateless firewall for controlling traffic in and out of a subnet. Network ACLs support up to 20 IP CIDR-based allow or deny rules for both inbound and outbound traffic. AWS customers typically leverage security groups as their primary method of network packet filtering since they are more versatile than network ACLs due to their ability to perform stateful packet filtering and utilize rules that reference other security groups. However, network ACLs can be effective as a secondary control for denying a specific subset of traffic or providing high-level guard rails for a subnet. By implementing both network ACLs and security groups as a defense-in-depth means of controlling traffic, a mistake in the configuration of one of these controls will not expose the host to unwanted traffic.
NEW QUESTION # 237
A solutions architect has an application container, an AWS Lambda function, and an Amazon Simple Queue Service (Amazon SQS) queue. The Lambda function uses the SQS queue as an event source. The Lambda function makes a call to a third-party machine learning (ML) API when the function is invoked. The response from the third-party API can take up to 60 seconds to return.
The Lambda function's timeout value is currently 65 seconds. The solutions architect has noticed that the Lambda function sometimes processes duplicate messages from the SQS queue.
What should the solutions architect do to ensure that the Lambda function does not process duplicate messages?
Answer: B
Explanation:
When using an SQS queue as an event source for AWS Lambda, the visibility timeout of the SQS queue plays a critical role in preventing duplicate message processing.
"If your Lambda function doesn't process the message and delete it from the queue within the visibility timeout period, the message becomes visible again and can be processed again by the same or another function instance."
- AWS Lambda with SQS
In this scenario, the third-party API may take up to 60 seconds to respond. Since the Lambda function is configured with a 65-second timeout, the visibility timeout of the queue must be greater than or equal to the maximum function execution time to avoid the same message being reprocessed.
Incorrect Options:
A: Memory allocation doesn't impact duplicate message handling.
B: Timeout is already sufficient; increasing it further does not solve the core issue.
C: Delivery delay controls initial delivery delay, not reprocessing logic.
Reference:
AWS Lambda and Amazon SQS Developer Guide
SQS Visibility Timeout Documentation
NEW QUESTION # 238
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