Amazon AWS-Solutions-Architect-Professional - PDF電子當

AWS-Solutions-Architect-Professional pdf
  • 考試編碼:AWS-Solutions-Architect-Professional
  • 考試名稱:AWS Certified Solutions Architect - Professional
  • 更新時間:2025-06-25
  • 問題數量:435 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

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  • 考試編碼:AWS-Solutions-Architect-Professional
  • 考試名稱:AWS Certified Solutions Architect - Professional
  • 更新時間:2025-06-25
  • 問題數量:435 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
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Amazon AWS-Solutions-Architect-Professional - 軟件版

AWS-Solutions-Architect-Professional Testing Engine
  • 考試編碼:AWS-Solutions-Architect-Professional
  • 考試名稱:AWS Certified Solutions Architect - Professional
  • 更新時間:2025-06-25
  • 問題數量:435 題
  • 軟件版價格: $59.98
  • 軟件版

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最新的 AWS Certified Solutions Architect AWS-Solutions-Architect-Professional 免費考試真題:

1. A company runs a processing engine in the AWS Cloud The engine processes environmental data from logistics centers to calculate a sustainability index The company has millions of devices in logistics centers that are spread across Europe The devices send information to the processing engine through a RESTful API The API experiences unpredictable bursts of traffic The company must implement a solution to process all data that the devices send to the processing engine Data loss is unacceptable Which solution will meet these requirements?

A) Create an Amazon API Gateway HTTP API that implements the RESTful API Create an Amazon Simple Queue Service (Amazon SQS) queue Create an API Gateway service integration with the SQS queue Create an AWS Lambda function to process messages in the SQS queue
B) Create an Application Load Balancer (ALB) for the RESTful API Create an Amazon Simple Queue Service (Amazon SQS) queue Create a listener and a target group for the ALB Add the SQS queue as the target Use a container that runs in Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to process messages in the queue
C) Create an Amazon API Gateway REST API that implements the RESTful API Create a fleet of Amazon EC2 instances in an Auto Scaling group Create an API Gateway Auto Scaling group proxy integration Use the EC2 instances to process incoming data
D) Create an Amazon CloudFront distribution for the RESTful API Create a data stream in Amazon Kinesis Data Streams Set the data stream as the origin for the distribution Create an AWS Lambda function to consume and process data in the data stream


2. A financial company needs to create a separate AWS account for a new digital wallet application. The company uses AWS Organizations to manage its accounts. A solutions architect uses the 1AM user Supportl from the management account to create a new member account with [email protected] as the email address.
What should the solutions architect do to create IAM users in the new member account?

A) Sign in to the AWS Management Console with AWS account root user credentials by using the
64-character password from the initial AWS Organizations email [email protected]. Set up the IAM users as required.
B) From the management account, switch roles to assume the OrganizationAccountAccessRole role with the account ID of the new member account. Set up the IAM users as required.
C) Go to the AWS Management Console sign-in page. Sign in by using the account ID of the new member account and the Supportl IAM credentials. Set up the IAM users as required.
D) Go to the AWS Management Console sign-in page. Choose "Sign in using root account credentials." Sign in in by using the email address [email protected] and the management account's root password. Set up the IAM users as required.


3. A company is planning to migrate its on-premises transaction-processing application to AWS. The application runs inside Docker containers that are hosted on VMS in the company's data center. The Docker containers have shared storage where the application records transaction data.
The transactions are time sensitive. The volume of transactions inside the application is unpredictable. The company must implement a low-latency storage solution that will automatically scale throughput to meet increased demand. The company cannot develop the application further and cannot continue to administer the Docker hosting environment.
How should the company migrate the application to AWS to meet these requirements?

A) Migrate the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic File System (Amazon EFS) file system. Create a Fargate task definition. Add a volume to the task definition to point to the EFS file system
B) Migrate the containers that run the application to Amazon Elastic Kubernetes Service (Amazon EKS).
Use Amazon S3 to store the transaction data that the containers share.
C) Launch Amazon EC2 instances. Install Docker on the EC2 instances. Migrate the containers to the EC2 instances. Create an Amazon Elastic File System (Amazon EFS) file system. Add a mount point to the EC2 instances for the EFS file system.
D) Migrate the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic Block Store (Amazon EBS) volume. Create a Fargate task definition. Attach the EBS volume to each running task.


4. A retail company is operating its ecommerce application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The company uses an Amazon RDS DB instance as the database backend. Amazon CloudFront is configured with one origin that points to the ALB. Static content is cached. Amazon Route 53 is used to host all public zones.
After an update of the application, the ALB occasionally returns a 502 status code (Bad Gateway) error. The root cause is malformed HTTP headers that are returned to the ALB. The webpage returns successfully when a solutions architect reloads the webpage immediately after the error occurs.
While the company is working on the problem, the solutions architect needs to provide a custom error page instead of the standard ALB error page to visitors.
Which combination of steps will meet this requirement with the LEAST amount of operational overhead?
(Choose two.)

A) Create an Amazon S3 bucket. Configure the S3 bucket to host a static webpage. Upload the custom error pages to Amazon S3.
B) Modify the existing Amazon Route 53 records by adding health checks. Configure a fallback target if the health check fails. Modify DNS records to point to a publicly accessible webpage.
C) Create an Amazon CloudWatch alarm to invoke an AWS Lambda function if the ALB health check response Target.FailedHealthChecks is greater than 0. Configure the Lambda function to modify the forwarding rule at the ALB to point to a publicly accessible web server.
D) Add a custom error response by configuring a CloudFront custom error page. Modify DNS records to point to a publicly accessible web page.
E) Create an Amazon CloudWatch alarm to invoke an AWS Lambda function if the ALB health check response Elb.InternalError is greater than 0. Configure the Lambda function to modify the forwarding rule at the ALB to point to a public accessible web server.


5. A company is hosting a monolithic REST-based API for a mobile app on five Amazon EC2 instances in public subnets of a VPC. Mobile clients connect to the API by using a domain name that is hosted on Amazon Route
53. The company has created a Route 53 multivalue answer routing policy with the IP addresses of all the EC2 instances. Recently, the app has been overwhelmed by large and sudden increases to traffic. The app has not been able to keep up with the traffic.
A solutions architect needs to implement a solution so that the app can handle the new and varying load.
Which solution will meet these requirements with the LEAST operational overhead?

A) Containerize the API logic. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Run the containers in the cluster by using Amazon EC2. Create a Kubernetes ingress. Update the Route 53 record to point to the Kubernetes ingress.
B) Create an Auto Scaling group. Place all the EC2 instances in the Auto Scaling group. Configure the Auto Scaling group to perform scaling actions that are based on CPU utilization. Create an AWS Lambda function that reacts to Auto Scaling group changes and updates the Route 53 record.
C) Separate the API into individual AWS Lambda functions. Configure an Amazon API Gateway REST API with Lambda integration for the backend. Update the Route 53 record to point to the API Gateway API.
D) Create an Application Load Balancer (ALB) in front of the API. Move the EC2 instances to private subnets in the VPC. Add the EC2 instances as targets for the ALB. Update the Route 53 record to point to the ALB.


問題與答案:

問題 #1
答案: B
問題 #2
答案: C
問題 #3
答案: A
問題 #4
答案: B,D
問題 #5
答案: D

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