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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:2024-10-10
  • 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:2024-10-10
  • 問題數量:435 題
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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:2024-10-10
  • 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 hosts a data-processing application on Amazon EC2 instances. The application polls an Amazon Elastic File System (Amazon EFS) file system for newly uploaded files. When a new file is detected, the application extracts data from the file and runs logic to select a Docker container image to process the file. The application starts the appropriate container image and passes the file location as a parameter.
The data processing that the container performs can take up to 2 hours. When the processing is complete, the code that runs inside the container writes the file back to Amazon EFS and exits.
The company needs to refactor the application to eliminate the EC2 instances that are running the containers Which solution will meet these requirements?

A) Create AWS Lambda container images for the processing. Configure Lambda functions to use the container images. Extract the container selection logic to run as a decision Lambda function that invokes the appropriate Lambda processing function. Migrate the storage of file uploads to an Amazon S3 bucket. Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the decision Lambda function when objects are created.
B) Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Update and containerize the container selection logic to run as a Fargate service that starts the appropriate Fargate task. Configure an EFS event notification to invoke the Fargate service when files are added to the EFS file system.
C) Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an AWS Lambda function that starts the appropriate Fargate task. Migrate the storage of file uploads to an Amazon S3 bucket. Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the Lambda function when objects are created.
D) Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an Amazon EventBridge rule that starts the appropriate Fargate task. Configure the EventBridge rule to run when files are added to the EFS file system.


2. A financial services company runs a complex, multi-tier application on Amazon EC2 instances and AWS Lambda functions. The application stores temporary data in Amazon S3. The S3 objects are valid for only 45 minutes and are deleted after 24 hours.
The company deploys each version of the application by launching an AWS CloudFormation stack. The stack creates all resources that are required to run the application. When the company deploys and validates a new application version, the company deletes the CloudFormation stack of the old version.
The company recently tried to delete the CloudFormation stack of an old application version, but the operation failed. An analysis shows that CloudFormation failed to delete an existing S3 bucket. A solutions architect needs to resolve this issue without making major changes to the application's architecture.
Which solution meets these requirements?

A) Modify the CloudFormation stack to create an S3 Lifecycle rule that expires all objects 45 minutes after creation. Add a DependsOn attribute that points to the S3 bucket's resource.
B) Modify the CloudFormation template to provision an Amazon Elastic File System (Amazon EFS) file system to store the temporary files there instead of in Amazon S3. Configure the Lambda functions to run in the same VPC as the file system. Mount the file system to the EC2 instances and Lambda functions.
C) Implement a Lambda function that deletes all files from a given S3 bucket. Integrate this Lambda function as a custom resource into the CloudFormation stack. Ensure that the custom resource has a DependsOn attribute that points to the S3 bucket's resource.
D) Modify the CloudFormation stack to attach a DeletionPolicy attribute with a value of Delete to the S3 bucket.


3. A Solutions Architect wants to make sure that only AWS users or roles with suitable permissions can access a new Amazon API Gateway endpoint. The Solutions Architect wants an end-to-end view of each request to analyze the latency of the request and create service maps.
How can the Solutions Architect design the API Gateway access control and perform request inspections?

A) Create an AWS Lambda function as the custom authorizer, ask the API client to pass the key and secret when making the call, and then use Lambda to validate the key/secret pair against the IAM system. Use AWS X-Ray to trace and analyze user requests to API Gateway.
B) For the API Gateway resource, set CORS to enabled and only return the company's domain in Access-Control-Allow-Origin headers. Then, give the IAM user or role execute-api:Invoke permission on the REST API resource. Use Amazon CloudWatch to trace and analyze user requests to API Gateway.
C) Create a client certificate for API Gateway. Distribute the certificate to the AWS users and roles that need to access the endpoint. Enable the API caller to pass the client certificate when accessing the endpoint. Use Amazon CloudWatch to trace and analyze user requests to API Gateway.
D) For the API Gateway method, set the authorization to AWS_IAM. Then, give the IAM user or role execute-api:Invoke permission on the REST API resource. Enable the API caller to sign requests with AWS Signature when accessing the endpoint. Use AWS X-Ray to trace and analyze user requests to API Gateway.


4. A software as a service (SaaS) company uses AWS to host a service that is powered by AWS PrivateLink. The service consists of proprietary software that runs on three Amazon EC2 instances behind a Network Load Balancer (NL B). The instances are in private subnets in multiple Availability Zones in the eu-west-2 Region.
All the company's customers are in eu-west-2.
However, the company now acquires a new customer in the us-east-I Region. The company creates a new VPC and new subnets in us-east-I. The company establishes inter-Region VPC peering between the VPCs in the two Regions.
The company wants to give the new customer access to the SaaS service, but the company does not want to immediately deploy new EC2 resources in us-east-I Which solution will meet these requirements?

A) Create an NL B in us-east-I . Create an IP target group that uses the IP addresses of the company's instances in eu-west-2 that host the SaaS service. Configure a PrivateLink endpoint service that uses the NLB that is in us-east-I . Grant specific AWS accounts access to connect to the SaaS service.
B) Use AWS Resource Access Manager (AWS RAM) to share the EC2 instances that are in eu-west-2. In us-east-I , create an NLB and an instance target group that includes the shared EC2 instances from eu-west-2. Configure a PrivateLink endpoint service that uses the NL B that is in us-east-I. Grant specific AWS accounts access to connect to the SaaS service.
C) Configure a PrivateLink endpoint service in us-east-I to use the existing NL B that is in eu-west-2. Grant specific AWS accounts access to connect to the SaaS service.
D) Create an Application Load Balancer (ALB) in front of the EC2 instances in eu-west-2. Create an NLB in us-east-I . Associate the NLB that is in us-east-I with an ALB target group that uses the ALB that is in eu-west-2. Configure a PrivateLink endpoint service that uses the NLB that is in us-east-I . Grant specific AWS accounts access to connect to the SaaS service.


5. A company has a website that runs on Amazon EC2 instances behind an Application Load Balancer (ALB).
The instances are in an Auto Scaling group. The ALB is associated with an AWS WAF web ACL.
The website often encounters attacks in the application layer. The attacks produce sudden and significant increases in traffic on the application server. The access logs show that each attack originates from different IP addresses. A solutions architect needs to implement a solution to mitigate these attacks.
Which solution will meet these requirements with the LEAST operational overhead?

A) Deploy AWS Shield Advanced in addition to AWS WAF. Add the ALB as a protected resource.
B) Create an Amazon CloudWatch alarm that monitors server access. Set a threshold based on access by IP address. Configure an alarm action that adds the IP address to the web ACL's deny list.
C) Create an Amazon CloudWatch alarm that monitors user IP addresses. Set a threshold based on access by IP address. Configure the alarm to invoke an AWS Lambda function to add a deny rule in the application server's subnet route table for any IP addresses that activate the alarm.
D) Inspect access logs to find a pattern of IP addresses that launched the attacks. Use an Amazon Route 53 geolocation routing policy to deny traffic from the countries that host those IP addresses.


問題與答案:

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

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