FREE PDF QUIZ 2025 PASS-SURE AMAZON AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL: EXAM VCE AWS CERTIFIED SOLUTIONS ARCHITECT - PROFESSIONAL FREE

Free PDF Quiz 2025 Pass-Sure Amazon AWS-Solutions-Architect-Professional: Exam Vce AWS Certified Solutions Architect - Professional Free

Free PDF Quiz 2025 Pass-Sure Amazon AWS-Solutions-Architect-Professional: Exam Vce AWS Certified Solutions Architect - Professional Free

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To be eligible for the AWS Certified Solutions Architect - Professional certification, candidates must have previously earned the AWS Certified Solutions Architect - Associate certification, as well as have at least two years of practical experience in designing and deploying AWS-based applications. AWS-Solutions-Architect-Professional exam consists of 75 multiple-choice and multiple-response questions, which must be completed within three hours. AWS-Solutions-Architect-Professional Exam Fee is $300 USD, and passing the exam will earn the candidate the AWS Certified Solutions Architect - Professional certification, which is valid for two years. AWS Certified Solutions Architect - Professional certification is highly valued in the IT industry and demonstrates the candidate's skills and expertise in designing and implementing complex solutions on the AWS platform.

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q214-Q219):

NEW QUESTION # 214
An application is running on an Amazon EC2 instance in a private subnet. The application needs to read
and write data onto Amazon Kinesis Data Streams, and corporate policy requires that this traffic should not
go to the internet.
How can these requirements be met?

  • A. Configure a NAT gateway in a public subnet and route all traffic to Amazon Kinesis through the NAT
    gateway.
  • B. Configure a gateway VPC endpoint for Kinesis and route all traffic to Kinesis through the gateway VPC
    endpoint.
  • C. Configure an AWS Direct Connect private virtual interface for Kinesis and route all traffic to Kinesis
    through the virtual interface.
  • D. Configure an interface VPC endpoint for Kinesis and route all traffic to Kinesis through the gateway
    VPC endpoint.

Answer: D


NEW QUESTION # 215
Which of the following cannot be used to manage Amazon ElastiCache and perform administrative tasks?

  • A. ElastiCache command line interface (CLI)
  • B. AWS CloudWatch
  • C. Amazon S3
  • D. AWS software development kits (SDKs)

Answer: B

Explanation:
Explanation
CloudWatch is a monitoring tool and doesn't give users access to manage Amazon ElastiCache.
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/WhatIs.Managing.html


NEW QUESTION # 216
A company has an application that runs on a fleet of Amazon EC2 instances and stores 70 GB of device data for each instance in Amazon S3. Recently, some of the S3 uploads have been failing At the same time, the company is seeing an unexpected increase in storage data costs. The application code cannot be modified What is the MOST efficient way to upload the device data to Amazon S3 while managing storage costs?

  • A. Upload device data using a multipart upload Use the AWS Management Console to list incomplete parts to address the failed S3 uploads. Configure a lifecycle policy to archive continuously to Amazon S3 Glacier
  • B. Upload device data using a multipart upload Use the AWS CLI to list incomplete parts to address the failed S3 uploads. Enable the lifecycle policy for the incomplete multipart uploads on the S3 bucket to delete the old uploads and prevent new failed uploads from accumulating.
  • C. Upload device data using S3 Transfer Acceleration Use the AWS Management Console to address the failed S3 uploads. Use the Multi-Object Delete operation nightly to delete the old uploads.
  • D. Upload device data using S3 Transfer Acceleration. Use the AWS Management Console to list incomplete parts to address the failed S3 uploads Enable the lifecycle policy for the incomplete multipart uploads on the S3 bucket to delete the old uploads and prevent newfaHed uploads from accumulating.

Answer: B


NEW QUESTION # 217
A company has an application that is deployed on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are part of an Auto Scaling group. The application has unpredictable workloads and frequently scales out and in. The company's development team wants to analyze application logs to find ways to improve the application's performance. However, the logs are no longer available after instances scale in.
Which solution will give the development team the ability to view the application logs after a scale-in event?

  • A. Configure the EC2 instances lo publish logs to Amazon CloudWatch Logs by using the unified CloudWatch agent.
  • B. Modify the Auto Scaling group to use a step scaling policy.
  • C. Instrument the application with AWS X-Ray tracing.
  • D. Enable access logs for the ALB. Store the logs in an Amazon S3 bucket.

Answer: A

Explanation:
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-access-logs.html


NEW QUESTION # 218
A Solutions Architect is responsible for redesigning a legacy Java application to improve its availability, data durability, and scalability. Currently, the application runs on a single high- memory Amazon EC2 instance. It accepts HTTP requests from upstream clients, adds them to an in-memory queue, and responds with a 200 status. A separate application thread reads items from the queue, processes them, and persists the results to an Amazon RDS MySQL instance.
The processing time for each item takes 90 seconds on average., most of which is spent waiting on external service calls, but the application is written to process multiple items in parallel.
Traffic to this service is unpredictable. During periods of high load, items may sit in the internal queue for over an hour while the application processes the backing. In addition, the current system has issues with availability and data if the single application node fails.
Clients that access this service cannot be modified. They expect to receive a response to each HTTP request they send within 10 seconds before they will time out and retry the request.
Which approach would improve the availability and durability of the system while decreasing the processing latency and minimizing costs?

  • A. Update the application to use a Redis task queue instead of the in-memory queue. Build a Docker container image for the application. Create an Amazon ECS task definition that includes the application container and a separate container to host Redis. Deploy the new task definition as an ECS service using AWS Fargate and enable Auto Scaling.
  • B. Create an Amazon API Gateway REST API that uses a service proxy to put items in an Amazon SQS queue. Extract the core processing code from the existing application and update it to pull items from Amazon SQS queue. Extract the core processing code from the existing application and update it to pull items from Amazon SQS instead of an in-memory queue. Deploy the new processing application to smaller EC2 instances within an Auto Scaling group that scales dynamically based on the approximate number of messages in the Amazon SQS queue.
  • C. Create an Amazon API Gateway REST API that uses Lambda proxy integration to pass requests to an AWS Lambda function. Migrate the core processing code to a Lambda function and write a wrapper class that provides a handler method that converts the proxy events to the internal application data model and invokes the processing module.
  • D. Modify the application to use Amazon DynamoDB instead of Amazon RDS. Configure Auto Scaling for the DynamoDB table. Deploy the application within an Auto Scaling group with a scaling policy based on CPU utilization. Back the in-memory queue with a memory-mapped file to an instance store volume and periodically write that file to Amazon S3.

Answer: B


NEW QUESTION # 219
......

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