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[General] SAA-C03 Exam Simulator Online, Exam SAA-C03 Topics

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【General】 SAA-C03 Exam Simulator Online, Exam SAA-C03 Topics

Posted at 4 day before      View:41 | Replies:2        Print      Only Author   [Copy Link] 1#
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Amazon SAA-C03 Certification Exam covers a wide range of topics, including AWS core services, security, networking, databases, storage, deployment, and management. Passing SAA-C03 exam demonstrates an individual's ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is recognized by many organizations and is a valuable asset for IT professionals who want to advance their careers in cloud computing.
Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q228-Q233):NEW QUESTION # 228
An application uses an Amazon RDS MySQL DB instance. The RDS database is becoming low on disk space. A solutions architect wants to increase the disk space without downtime.
Which solution meets these requirements with the LEAST amount of effort?
  • A. Increase the RDS database instance size.
  • B. Change the RDS database instance storage type to Provisioned IOPS.
  • C. Enable storage autoscaling in RDS.
  • D. Back up the RDS database, increase the storage capacity, restore the database, and stop the previous instance
Answer: C
Explanation:
https://aws.amazon.com/about-aws ... orage-auto-scaling/

NEW QUESTION # 229
A company is running a popular social media website. The website gives users the ability to upload images to share with other users. The company wants to make sure that the images do not contain inappropriate content.
The company needs a solution that minimizes development effort.
What should a solutions architect do to meet these requirements?
  • A. Use Amazon SageMaker to detect inappropriate content. Use ground truth to label low-confidence predictions.
  • B. Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.
  • C. Use AWS Fargate to deploy a custom machine learning model to detect inappropriate content. Use ground truth to label low-confidence predictions.
  • D. Use Amazon Comprehend to detect inappropriate content. Use human review for low-confidence predictions.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/reko ... ml?pg=ln&sec=ft
https://docs.aws.amazon.com/reko ... 2i-rekognition.html

NEW QUESTION # 230
[Design Cost-Optimized Architectures]
A company has an employee web portal. Employees log in to the portal to view payroll details. The company is developing a new system to give employees the ability to upload scanned documents for reimbursement. The company runs a program to extract text-based data from the documents and attach the extracted information to each employee's reimbursement IDs for processing.
The employee web portal requires 100% uptime. The document extract program runs infrequently throughout the day on an on-demand basis. The company wants to build a scalable and cost-effective new system that will require minimal changes to the existing web portal. The company does not want to make any code changes.
Which solution will meet these requirements with the LEAST implementation effort?
  • A. Create an Amazon S3 bucket to host the web portal. Use Amazon API Gateway and an AWS Lambda function for the existing functionalities. Use the Lambda function to run the document extract program. Invoke the Lambda function when the API that is associated with a new document upload is called.
  • B. Run Amazon EC2 Spot Instances in an Auto Scaling group for the web portal. Run the document extract program on EC2 Spot Instances Start document extract program instances when an employee uploads a new reimbursement document.
  • C. Purchase a Savings Plan to run the web portal and the document extract program. Run the web portal and the document extract program in an Auto Scaling group.
  • D. Run Amazon EC2 On-Demand Instances in an Auto Scaling group for the web portal. Use an AWS Lambda function to run the document extract program. Invoke the Lambda function when an employee uploads a new reimbursement document.
Answer: D
Explanation:
This solution offers the most scalable and cost-effective approach with minimal changes to the existing web portal and no code modifications.
Amazon EC2 On-Demand Instances in an Auto Scaling Group: Running the web portal on EC2 On-Demand instances ensures 100% uptime and scalability. The Auto Scaling group will maintain the desired number of instances, automatically scaling up or down as needed, ensuring high availability for the employee web portal.
AWS Lambda for Document Extraction: Lambda is a serverless compute service that allows you to run code in response to events without provisioning or managing servers. By using Lambda to run the document extraction program, you can trigger the function whenever an employee uploads a document. This approach is cost-effective since you only pay for the compute time used by the Lambda function.
No Code Changes Required: This solution integrates with the existing infrastructure with minimal implementation effort and does not require any modifications to the web portal's code.
Why Not Other Options?:
Option B (Spot Instances): Spot Instances are not suitable for workloads requiring 100% uptime, as they can be terminated by AWS with short notice.
Option C (Savings Plan): A Savings Plan could reduce costs but does not address the requirement for running the document extraction program efficiently or without code changes.
Option D (S3 with API Gateway and Lambda): This would require significant changes to the existing web portal setup, including moving the portal to S3 and reconfiguring its architecture, which contradicts the requirement of minimal implementation effort and no code changes.
AWS Reference:
Amazon EC2 Auto Scaling- Information on how to use Auto Scaling for EC2 instances.
AWS Lambda- Overview of AWS Lambda and its use cases.

NEW QUESTION # 231
A company is designing the network for an online multi-player game. The game uses the UDP networking protocol and will be deployed in eight AWS Regions. The network architecture needs to minimize latency and packet loss to give end users a high-quality gaming experience.
Which solution will meet these requirements?
  • A. Set up Amazon CloudFront with UDP turned on. Configure an origin in each Region.
  • B. Set up a VPC peering mesh between each Region. Turn on UDP for each VPC.
  • C. Set up AWS Global Accelerator with UDP listeners and endpoint groups in each Region.
  • D. Set up a transit gateway in each Region. Create inter-Region peering attachments between each transit gateway.
Answer: C
Explanation:
Explanation
The best solution for this situation is option B, setting up AWS Global Accelerator with UDP listeners and endpoint groups in each Region. AWS Global Accelerator is a networking service that improves the availability and performance of internet applications by routing user requests to the nearest AWS Region [1].
It also improves the performance of UDP applications by providing faster, more reliable data transfers with lower latency and fewer packet losses. By setting up UDP listeners and endpoint groups in each Region, Global Accelerator will route traffic to the nearest Region for faster response times and a better user experience.

NEW QUESTION # 232
A solutions architect is designing a highly available Amazon ElastiCache for Redis based solution. The solutions architect needs to ensure that failures do not result in performance degradation or loss of data locally and within an AWS Region. The solution needs to provide high availability at the node level and at the Region level.
Which solution will meet these requirements?
  • A. Use Redis shards that contain multiple nodes with Redis append only files (AOF) tured on.
  • B. Use a Multi-AZ Redis cluster with more than one read replica in the replication group.
  • C. Use Multi-AZ Redis replication groups with shards that contain multiple nodes.
  • D. Use Redis shards that contain multiple nodes with Auto Scaling turned on.
Answer: C
Explanation:
This answer is correct because it provides high availability at the node level and at the Region level for the ElastiCache for Redis solution. A Multi-AZ Redis replication group consists of a primary cluster and up to five read replica clusters, each in a different Availability Zone. If the primary cluster fails, one of the read replicas is automatically promoted to be the new primary cluster. A Redis replication group with shards enables partitioning of the data across multiple nodes, which increases the scalability and performance of the solution. Each shard can have one or more replicas to provide redundancy and read scaling.
Reference:
https://docs.aws.amazon.com/Amaz ... g/AutoFailover.html
https://docs.aws.amazon.com/Amaz ... /red-ug/Shards.html

NEW QUESTION # 233
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