信頼的なSAA-C03資料的中率 &合格スムーズSAA-C03専門知識内容 |検証するSAA-C03過去問題

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SAA-C03認定は、認定プロフェッショナルがAWSプラットフォーム上で高度にスケーラブルで信頼性の高いアプリケーションを設計および展開するために必要なスキルと知識を備えていることを示すため、雇用主に高く評価されています。この認定は、世界で最も人気のあるクラウドコンピューティングプラットフォームの1つであるAWSで働き、クラウドコンピューティングのキャリアを進めたいITプロフェッショナルに最適です。

Amazon SAA-C03認定は、AWSサービスに深い理解を持ち、AWS上で複雑なシステムを設計および展開できることを示すために、IT業界で高く評価されています。この認定は、特に、AWS上でソリューションアーキテクト、システム管理者、または開発者として働きたい人々に関連しています。

>> SAA-C03資料的中率 <<

試験の準備方法-認定するSAA-C03資料的中率試験-ユニークなSAA-C03専門知識内容

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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q634-Q639):

質問 # 634
Which solution will meet these requirements?

正解：B

解説：
Amazon S3 is the most scalable and cost-optimized object storage for large amounts of data. It integrates natively with Amazon SageMaker, which allows direct access to S3 data for machine learning training jobs without the need to copy data elsewhere. The S3 Intelligent-Tiering storage class further optimizes storage costs for data with unknown or changing access patterns, while maintaining immediate availability for ML training.
Copying to FSx for Lustre or EFS adds unnecessary complexity and cost unless ultra-high throughput POSIX file access is specifically required, which is not mentioned here.
AWS Documentation Extract:
"Amazon S3 provides cost-effective storage for ML data sets, and Amazon SageMaker can directly access data in S3. S3 Intelligent-Tiering automatically moves data between frequent and infrequent access tiers, optimizing costs for changing data access patterns." (Source: AWS S3 and SageMaker documentation)
* A, D: FSx for Lustre or EFS may be used in specialized cases but are not cost-optimized for general large-scale ML data storage.
* C: SageMaker notebook instance storage is not designed for large-scale data ingestion or long-term storage.
Reference: AWS Certified Solutions Architect - Official Study Guide, S3 for ML Data Storage.


質問 # 635
A company uses Amazon EC2 instances and AWS Lambda functions to run its application. The company has VPCs with public subnets and private subnets in its AWS account. The EC2 instances run in a private subnet in one of the VPCs. The Lambda functions need direct network access to the EC2 instances for the application to work.
The application will run for at least 1 year. The company expects the number of Lambda functions that the application uses to increase during that time. The company wants to maximize its savings on all application resources and to keep network latency between the services low.
Which solution will meet these requirements?

正解：A

解説：
By purchasing a Compute Savings Plan, the company can save on the costs of running both EC2 instances and Lambda functions. The Lambda functions can be connected to the private subnet that contains the EC2 instances through a VPC endpoint for AWS services or a VPC peering connection. This provides direct network access to the EC2 instances while keeping the traffic within the private network, which helps to minimize network latency. Optimizing the Lambda functions' duration, memory usage, number of invocations, and amount of data transferred can help to further minimize costs and improve performance. Additionally, using a private subnet helps to ensure that the EC2 instances are not directly accessible from the public internet, which is a security best practice.


質問 # 636
[Design Secure Architectures]
A company needs to store data from its healthcare application. The application's data frequently changes. A new regulation requires audit z access at all levels of the stored data.
The company hosts the application on an on-premises infrastructure that is running out of storage capacity. A solutions architect must securely migrate the existing data to AWS while satisfying the new regulation.
Which solution will meet these requirements?

正解：D

解説：
This answer is correct because it meets the requirements of securely migrating the existing data to AWS and satisfying the new regulation. AWS DataSync is a service that makes it easy to move large amounts of data online between on-premises storage and Amazon S3. DataSync automatically encrypts data in transit and verifies data integrity during transfer. AWS CloudTrail is a service that records AWS API calls for your account and delivers log files to Amazon S3. CloudTrail can log data events, which show the resource operations performed on or within a resource in your AWS account, such as S3 object-level API activity. By using CloudTrail to log data events, you can audit access at all levels of the stored data.
Reference:
https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/logging-data-events-with-cloudtrail.html


質問 # 637
[Design Secure Architectures]
A company has an AWS Glue extract. transform, and load (ETL) job that runs every day at the same time. The job processes XML data that is in an Amazon S3 bucket.
New data is added to the S3 bucket every day. A solutions architect notices that AWS Glue is processing all the data during each run.
What should the solutions architect do to prevent AWS Glue from reprocessing old data?

正解：C

解説：
This is the purpose of bookmarks: "AWS Glue tracks data that has already been processed during a previous run of an ETL job by persisting state information from the job run. This persisted state information is called a job bookmark. Job bookmarks help AWS Glue maintain state information and prevent the reprocessing of old data."https://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html


質問 # 638
An ecommerce company is running a seasonal online sale. The company hosts its website on Amazon EC2 instances spanning multiple Availability Zones. The company wants its website to manage sudden traffic increases during the sale.
Which solution will meet these requirements MOST cost-effectively?

正解：B

解説：
The solution that meets the requirements of high availability, resiliency, and minimal operational effort is to use AWS Transfer for SFTP and an Amazon S3 bucket for storage. This solution allows the company to securely transfer files over SFTP to Amazon S3, which is a durable and scalable object storage service. The company can then modify the application to pull the batch files from Amazon S3 to an Amazon EC2 instance for processing. The EC2 instance can be part of an Auto Scaling group with a scheduled scaling policy to run the batch operation only at night. This way, the company can save costs by scaling down the EC2 instances when they are not needed. The other solutions do not meet all the requirements because they either use Amazon EFS or Amazon EBS for storage, which are more expensive and less scalable than Amazon S3, or they do not use a scheduled scaling policy to optimize the EC2 instances usage. References := AWS Transfer for SFTP Amazon S3 Amazon EC2 Auto Scaling


質問 # 639
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