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[General] SAA-C03 Interactive Course, New SAA-C03 Test Practice

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【General】 SAA-C03 Interactive Course, New SAA-C03 Test Practice

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Amazon SAA-C03 Exam is a certification exam for individuals who want to become an AWS Certified Solutions Architect – Associate. SAA-C03 exam is designed to test the candidate's knowledge and skills in designing, deploying, and managing scalable, highly available, and fault-tolerant systems on the AWS platform. SAA-C03 exam is intended for individuals who have experience working with AWS services and have knowledge of the core AWS services, including EC2, S3, VPC, and RDS.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q87-Q92):NEW QUESTION # 87
A company wants to improve its ability to clone large amounts of production data into a test environment in the same AWS Region. The data is stored in Amazon EC2 instances on Amazon Elastic Block Store (Amazon EBS) volumes. Modifications to the cloned data must not affect the production environment. The software that accesses this data requires consistently high I/O performance.
A solutions architect needs to minimize the time that is required to clone the production data into the test environment.
Which solution will meet these requirements?
  • A. Take EBS snapshots of the production EBS volumes. Turn on the EBS fast snapshot restore feature on the EBS snapshots. Restore the snapshots into new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment.
  • B. Take EBS snapshots of the production EBS volumes. Restore the snapshots onto EC2 instance store volumes in the test environment.
  • C. Take EBS snapshots of the production EBS volumes. Create and initialize new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment before restoring the volumes from the production EBS snapshots.
  • D. Configure the production EBS volumes to use the EBS Multi-Attach feature. Take EBS snapshots of the production EBS volumes. Attach the production EBS volumes to the EC2 instances in the test environment.
Answer: C

NEW QUESTION # 88
[Design Secure Architectures]
A company has an on-premises SFTP file transfer solution. The company is migrating to the AWS Cloud to scale the file transfer solution and to optimize costs by using Amazon S3. The company's employees will use their credentials for the on-premises Microsoft Active Directory (AD) to access the new solution The company wants to keep the current authentication and file access mechanisms.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Configure an S3 File Gateway. Create SMB file shares on the file gateway that use the existing Active Directory to authenticate
  • B. Create an AWS Transfer Family SFTP endpoint. Configure the endpoint to use the AWS Directory Service option as the identity provider to connect to the existing Active Directory.
  • C. Configure an Auto Scaling group with Amazon EC2 instances to run an SFTP solution Configure the group to scale up at 60% CPU utilization.
  • D. Create an AWS Transfer Family server with SFTP endpoints Choose the AWS Directory Service option as the identity provider Use AD Connector to connect the on-premises Active Directory.
Answer: D
Explanation:
AWS Transfer Family: This service provides fully managed support for file transfers directly into and out of Amazon S3 using the SFTP, FTPS, and FTP protocols.
SFTP Endpoints:
Set up an AWS Transfer Family server and configure SFTP endpoints to handle the file transfers.
This service is scalable and managed, reducing operational overhead compared to running an SFTP solution on EC2 instances.
Integration with Active Directory:
Choose the AWS Directory Service option as the identity provider for the Transfer Family server.
Use AD Connector to link the on-premises Active Directory with AWS, allowing employees to use their existing AD credentials to access the SFTP service.
Operational Efficiency: This solution leverages managed services for both file transfer and identity management, ensuring minimal changes to the current authentication mechanisms and reducing operational overhead.
Reference:
AWS Transfer Family
AWS Directory Service and AD Connector

NEW QUESTION # 89
A company owns an asynchronous API that is used to ingest user requests and, based on the request type, dispatch requests to the appropriate microservice for processing. The company is using Amazon API Gateway to deploy the API front end, and an AWS Lambda function that invokes Amazon DynamoDB to store user requests before dispatching them to the processing microservices.
The company provisioned as much DynamoDB throughput as its budget allows, but the company is still experiencing availability issues and is losing user requests.
What should a solutions architect do to address this issue without impacting existing users?
  • A. Add throttling on the API Gateway with server-side throttling limits.
  • B. Create a secondary index in DynamoDB for the table with the user requests.
  • C. Use the Amazon Simple Queue Service (Amazon SQS) queue and Lambda to buffer writes to DynamoDB.
  • D. Use DynamoDB Accelerator (DAX) and Lambda to buffer writes to DynamoDB.
Answer: C
Explanation:
because all other options put some more charges to DynamoDB. But the company supplied as much as they can for DynamoDB. And it is async request and we need to have retry mechanism not to lose the customer data.

NEW QUESTION # 90
A company needs a solution to prevent photos with unwanted content from being uploaded to the company's web application. The solution must not involve training a machine learning (ML) model.
Which solution will meet these requirements?
  • A. Create and deploy a model by using Amazon SageMaker Autopilot. Create a real-time endpoint that the web application invokes when new photos are uploaded.
  • B. Create an AWS Lambda function that uses Amazon Rekognition Video to detect unwanted content.Create a Lambda function URL that the web application invokes when new photos are uploaded.
  • C. Create an Amazon CloudFront function that uses Amazon Comprehend to detect unwanted content.
    Associate the function with the web application.
  • D. Create an AWS Lambda function that uses Amazon Rekognition to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.
Answer: D
Explanation:
Amazon Rekognition provides pretrained models that can detect inappropriate or unsafe content (such as nudity or violence) without requiring users to build their own ML models. Using a Lambda function to call Rekognition when new photos are uploaded is a serverless and scalable solution.
Reference: AWS Documentation - Amazon Rekognition Content Moderation

NEW QUESTION # 91
A company uses 50 TB of data for reporting The company wants to move this data from on premises to AWS A custom application in the company's data center runs a weekly data transformation job The company plans to pause the application until the data transfer is complete and needs to begin the transfer process as soon as possible The data center does not have any available network bandwidth for additional workloads. A solutions architect must transfer the data and must configure the transformation job to continue to run in the AWS Cloud.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation Job by using AWS Glue.
  • B. Order an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute Copy the data to the device Create a new EC2 instance on AWS to run the transformation application.
  • C. Use AWS DataSync to move the data Create a custom transformation job by using AWS Glue.
  • D. Order an AWS Snowcone device to move the data Deploy the transformation application to the device.
Answer: A
Explanation:
Understanding the Requirement: The company needs to transfer 50 TB of data to AWS with minimal operational overhead and no available network bandwidth for the transfer. The transformation job must continue running in the AWS Cloud.
Analysis of Options:
AWS DataSync and AWS Glue: DataSync is suitable for online data transfer, but there is no available network bandwidth. AWS Glue can be used for data transformation but does not solve the bandwidth issue.
AWS Snowcone: Snowcone is a smaller device suitable for smaller data transfers, and deploying the transformation application on it may not be feasible for 50 TB of data.
AWS Snowball Edge Storage Optimized with Glue: This device is designed for large data transfers. Copying the data to the device is straightforward, and AWS Glue can handle data transformation in the cloud.
AWS Snowball Edge Storage Optimized with EC2: This involves setting up EC2 instances for transformation, adding operational complexity compared to using AWS Glue.
Best Solution:
AWS Snowball Edge Storage Optimized with AWS Glue: This provides the least operational overhead for transferring large amounts of data and setting up the transformation job in the cloud.
Reference:
AWS Snowball Edge
AWS Glue

NEW QUESTION # 92
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