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AWS-Solutions-Architect-Professional Valid Exam Tutorial & AWS-Solutions-Architect-Professional New Soft Simulations

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Posted on: 04/29/25

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The Amazon AWS-Solutions-Architect-Professional certification exam is one of the hottest and career-oriented certifications in the market. This AWS Certified Solutions Architect - Professional (AWS-Solutions-Architect-Professional) certification exam has been inspiring beginners and experienced professionals since its beginning. Over this long time period, countless AWS Certified Solutions Architect - Professional (AWS-Solutions-Architect-Professional) exam candidates have passed their AWS Certified Solutions Architect - Professional (AWS-Solutions-Architect-Professional) certification exam, and now they are offering their services to the top world brands.

Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q422-Q427):

NEW QUESTION # 422
An IAM user is trying to perform an action on an object belonging to some other root account's bucket.
Which of the below mentioned options will AWS S3 not verify?

  • A. Permission provided by the bucket owner to the IAM user
  • B. The object owner has provided access to the IAM user
  • C. Permission provided by the parent of the IAM user on the bucket
  • D. Permission provided by the parent of the IAM user

Answer: C

Explanation:
Explanation
If the IAM user is trying to perform some action on the object belonging to another AWS user's bucket, S3 will verify whether the owner of the IAM user has given sufficient permission to him. It also verifies the policy for the bucket as well as the policy defined by the object owner.
http://docs.aws.amazon.com/AmazonS3/latest/dev/access-control-auth-workflow-object-operation.html


NEW QUESTION # 423
A company's production application runs online transaction processing (OLTP) transactions on an Amazon RDS MySQL DB instance. The company is launching a new reporting tool that will access the same data. The reporting tool must be highly available and not impact the performance of the production application.
How can this be achieved?

  • A. Create hourly snapshots of the production RDS DB instance.
  • B. Create a Multi-AZ RDS Read Replica of the production RDS DB instance.
  • C. Create multiple ROS Read Replicas of the production RDS DB instance. Place the Read Replicas in an Auto Scaling group.
  • D. Create a Single-AZ RDS Read Replica of the production RDS DB instance. Create a second Single-AZ RDS Read Replica from the replica.

Answer: B

Explanation:
Explanation/Reference: https://aws.amazon.com/blogs/database/best-storage-practices-for-running-production-workloads- on-hosted-databases-with-amazon-rds-or-amazon-ec2/


NEW QUESTION # 424
A startup company recently migrated a large ecommerce website to AWS The website has experienced a
70% increase in sales. Software engineers are using a private GitHub repository to manage code. The devops team is using Jenkins for builds and unit testing. The engineers need to receive notifications for bad builds and zero downtime during deployments. The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue.
The software engineers have decided to use AWS CodePipeline to manage their build and deployment process. Which solution will meet these requirements?

  • A. Use GitHub webhooks to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Deploy in a blue/green deployment using AWS CodeDeploy.
  • B. Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS Code Build to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy.
  • C. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy
  • D. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Deploy in an in-place, all-at-once deployment configuration using AWS CodeDeploy

Answer: A


NEW QUESTION # 425
A company is preparing to deploy an Amazon Elastic Kubernetes Service (Amazon EKS) cluster for a workload. The company expects the cluster to support an unpredictable number of stateless pods. Many of the pods will be created during a short time period as the workload automatically scales the number of replicas that the workload uses.
Which solution will MAXIMIZE node resilience?

  • A. Configure the Kubernetes Cluster Autoscaler to ensure that the compute capacity of the workload node groups stays under provisioned.
  • B. Configure the workload to use topology spread constraints that are based on Availability Zone.
  • C. Update the workload node groups. Use a smaller number of node groups and larger instances in the node groups.
  • D. Use a separate launch template to deploy the EKS control plane into a second cluster that is separate from the workload node groups.

Answer: B

Explanation:
Configuring the workload to use topology spread constraints that are based on Availability Zone will maximize the node resilience of the workload node groups. This will ensure that the pods are evenly distributed across different Availability Zones, reducing the impact of failures or disruptions in one Availability Zone2. This will also improve the availability and scalability of the workload node groups, as they can leverage the low-latency, high-throughput, and highly redundant networking between Availability Zones1.


NEW QUESTION # 426
A company is currently using AWS CodeCommit for its source control and AWS CodePipeline for continuous integration. The pipeline has a build stage for building the artifacts which is then staged in an Amazon S3 bucket.
The company has identified various improvement opportunities in the existing process, and a Solutions Architect has been given the following requirement:
Create a new pipeline to support feature development
Support feature development without impacting production applications
Incorporate continuous testing with unit tests
Isolate development and production artifacts
Support the capability to merge tested code into production code.
How should the Solutions Architect achieve these requirements?

  • A. Trigger a separate pipeline from CodeCommit feature branches. Use AWS CodeBuild for running unit tests. Use CodeBuild to stage the artifacts within an S3 bucket in a separate testing account.
  • B. Trigger a separate pipeline from CodeCommit feature branches. Use AWS Lambda for running unit tests. Use AWS CodeDeploy to stage the artifacts within an S3 bucket in a separate testing account.
  • C. Create a separate CodeCommit repository for feature development and use it to trigger the pipeline.
    Use AWS Lambda for running unit tests. Use AWS CodeBuild to stage the artifacts within different S3 buckets in the same production account.
  • D. Trigger a separate pipeline from CodeCommit tags Use Jenkins for running unit tests. Create a stage in the pipeline with S3 as the target for staging the artifacts with an S3 bucket in a separate testing account.

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/codebuild/latest/userguide/how-to-create-pipeline.html


NEW QUESTION # 427
......

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