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Amazon AWS-Solutions-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Design Secure Architectures | 30% | - Design access management
- 1. Identity and access management
- 2. Federated access
- 3. Resource access control
- Design secure network architectures
- 1. Edge security
- 2. Traffic protection
- 3. Network isolation and segmentation
- Design secure workloads and applications
- 1. Threat detection and mitigation
- 2. Data protection
- 3. Security by design principles
|
| Topic 2: Design Resilient Architectures | 26% | - Design resilient compute solutions
- 1. Workload distribution
- 2. Compute redundancy
- 3. Auto-scaling and elasticity
- Design highly available and fault-tolerant architectures
- 1. High availability configurations
- 2. Fault tolerance mechanisms
- 3. Disaster recovery strategies
- Design resilient storage solutions
- 1. Storage durability and availability
- 2. Replication and backup
- 3. Data consistency models
|
| Topic 3: Design Cost-Optimized Architectures | 20% | - Design cost-optimized network architectures
- 1. Data transfer cost optimization
- 2. Network service selection
- 3. Traffic routing efficiency
- Design cost-optimized compute solutions
- 1. Right-sizing and scaling
- 2. Instance selection and purchasing options
- 3. Serverless and managed services
- Design cost-optimized storage solutions
- 1. Storage class selection
- 2. Data lifecycle management
- 3. Cost monitoring and optimization
|
| Topic 4: Design High-Performing Architectures | 24% | - Design high-performing network architectures
- 1. Global acceleration
- 2. Content delivery
- 3. Network throughput and latency
- Design high-performing compute solutions
- 1. Compute selection and sizing
- 2. Parallel processing
- 3. Workload optimization
- Design high-performing storage solutions
- 1. Storage performance optimization
- 2. Caching strategies
- 3. Data access patterns
|
>> AWS-Solutions-Associate최신버전 공부자료 <<
AWS-Solutions-Associate최신 업데이트버전 덤프문제공부 - AWS-Solutions-Associate최신 인증시험 대비자료
Itcertkr의 Amazon인증 AWS-Solutions-Associate시험덤프는 고객님의 IT자격증을 취득하는 꿈을 실현시켜 드리는 시험패스의 지름길입니다. Amazon인증 AWS-Solutions-Associate덤프에는 실제시험문제의 거의 모든 문제를 적중하고 습니다. Itcertkr의 Amazon인증 AWS-Solutions-Associate덤프가 있으면 시험패스가 한결 간편해집니다.
최신 AWS Certified Solutions Architect AWS-Solutions-Associate 무료샘플문제 (Q489-Q494):
질문 # 489
A company hosts an application in an Amazon EC2 Auto Scaling group. The company has observed that during periods of high demand, new instances take too long to join the Auto Scaling group and serve the increased demand. The company determines that the root cause of the issue is the long boot time of the instances in the Auto Scaling group. The company needs to reduce the time required to launch new instances to respond to demand. Which solution will meet this requirement?
- A. Create a scheduled scaling action. Set the desired capacity equal to the maximum capacity of the Auto Scaling group.
- B. Increase the health check grace period for the Auto Scaling group by 50%.
- C. Create a warm pool for the Auto Scaling group. Use the default specification for the warm pool size.
- D. Increase the maximum capacity of the Auto Scaling group by 50%.
정답:C
설명:
A warm pool is an Auto Scaling feature that keeps instances in a pre-initialized state so they can quickly join the active group when scaling is required. This reduces the time needed for instance bootstrapping and makes new capacity available almost instantly. Option A only increases capacity limits but does not address slow boot times. Option C merely extends grace periods without solving the delay. Option D forces overprovisioning, which is wasteful and not aligned with cost optimization. Using a warm pool (B) directly addresses the problem by reducing response time to scaling events.
References:* Amazon EC2 Auto Scaling User Guide - Warm pools for scaling faster* AWS Well- Architected Framework - Performance Efficiency Pillar: Optimizing responsiveness
질문 # 490
A company has an application running on Amazon EC2 instances in a private subnet. The application needs to store and retrieve data in Amazon S3 To reduce costs, the company wants to configure its AWS resources in a cost-effective manner How should the company accomplish this?
- A. Deploy AWS Storage Gateway to access the S3 buckets
- B. Deploy an S3 gateway endpoint to access the S3 buckets
- C. Deploy an S3 interface endpoint to access the S3 buckets.
- D. Deploy a NAT gateway to access the S3 buckets
정답:A
질문 # 491
A company has a hybrid application hosted on multiple on-premises servers with static IP addresses There is already a VPN that provides connectivity between the VPC and the on-premises network. The company wants to distribute TCP traffic across the on-premises servers for internet users What should a solutions architect recommend to provide a highly available and scalable solution?
- A. Launch an Amazon EC2 instance with public IP addresses in an Auto Scaling group and distribute traffic to the on-premises servers
- B. Launch an internet-facing Network Load Balancer (NLB) and register on-premises IP addresses with the NLB
- C. Launch an Amazon EC2 instance attach an Elastic IP address, and distribute traffic to the on-premises servers
- D. Launch an internet-facing Application Load Balancer (ALB) and register on-premises IP addresses with the ALB
정답:D
질문 # 492
A corporate web application is deployed within an Amazon Virtual Private Cloud (VPC) and is connected to the corporate data center via an iPsec VPN. The application must authenticate against the on-premises LDAP server. After authentication, each logged-in user can only access an Amazon Simple Storage Space (S3) keyspace specific to that user.
Which two approaches can satisfy these objectives? (Choose 2 answers)
- A. The application authenticates against LOAP and retrieves the name of an IAM role associated with the user. The application then cails the IAM Security Token Service to assume that IAM role The application can use the temporary credentials to access the appropriate S3 bucket.
- B. Develop an identity broker that authenticates against IAM security Token service to assume a IAM role in order to get temporary AWS security credentials The application calls the identity broker to get AWS temporary security credentials with access to the appropriate S3 bucket.
- C. The application authenticates against LDAP the application then calls the AWS identity and Access Management (IAM) Security service to log in to IAM using the LDAP credentials the application can use the IAM temporary credentials to access the appropriate S3 bucket.
- D. Develop an identity broker that authenticates against LDAP and then calls IAM Security Token Service to get IAM federated user credentials The application calls the identity broker to get IAM federated user credentials with access to the appropriate S3 bucket.
- E. The application authenticates against IAM Security Token Service using the LDAP credentials the application uses those temporary AWS security credentials to access the appropriate S3 bucket.
정답:A,D
질문 # 493
A company is developing a new machine learning (ML) model solution on AWS. The models are developed as independent microservices that fetch approximately 1 GB of model data from Amazon $3 at startup and load the data into memory. Users access the models through an asynchronous API. Users can send a request or a batch of requests and specify where the results should be sent.
The company provides models to hundreds of users. The usage patterns for the models are irregular. Some models could be unused for days or weeks. Other models could receive batches of thousands of requests at a time.
Which design should a solutions architect recommend to meet these requirements?
- A. Direct the requests from the API to a Network Load Balancer (NLB). Deploy the models as AWS Lambda functions that are invoked by the NLB.
- B. Direct the requests from the API into an Amazon Simple Queue Service (Amazon SQS) queue. Deploy the models as AWS Lambda functions that are invoked by SQS events. Use AWS Auto Scaling to increase the number of vCPUs for the Lambda functions based on the SQS queue size.
- C. Direct the requests from the API into an Amazon Simple Queue Service (Amazon SQS) queue. Deploy the models as Amazon Elastic Container Service (Amazon ECS) services that read from the queue.Enable AWS Auto Scaling on Amazon ECS for both the cluster and copies of the service based on the queue size.
- D. Direct the requests from the API to an Application Load Balancer (ALB). Deploy the models as Amazon Elastic Container Service (Amazon ECS) services that read from an Amazon Simple Queue Service (Amazon SQS) queue. Use AWS App Mesh to scale the instances of the ECS cluster based on the SQS queue size.
정답:C
설명:
This answer is correct because it meets the requirements of running the ML models as independent microservices that can handle irregular and unpredictable usage patterns. By directing the requests from the API into an Amazon SQS queue, the company can decouple the request processing from the model execution, and ensure that no requests are lost due to spikes in demand. By deploying the models as Amazon ECS services that read from the queue, the company can leverage containers to isolate and package each model as a microservice, and fetch the model data from S3 at startup. By enabling AWS Auto Scaling on Amazon ECS for both the cluster and copies of the service based on the queue size, the company can automatically scale up or down the number of EC2 instances in the cluster and the number of tasks in each service to match the demand and optimize performance.
References:
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/welcome.html
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/autoscaling-ecs.html
질문 # 494
......
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