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Amazon SAA-C03 자격증 시험은 아마존 웹 서비스(AWS) 클라우드에서 확장 가능하고 내결함성이 있는 고가용성 시스템의 디자인과 배포에 능숙해지고자 하는 개인들을 위해 설계되었습니다. 이 자격증은 솔루션 아키텍트, 시스템 관리자 및 개발자들이 AWS 인프라, 서비스 및 최상의 실천 방법에 대한 지식과 전문성을 검증하고자 하는 경우 이상적입니다. SAA-C03 시험은 이전 SAA-C02 자격증 시험의 업데이트 버전이며 클라우드 컴퓨팅 산업에서 가장 수요가 높은 자격증 중 하나로 간주됩니다.
질문 # 441
A company's reporting system delivers hundreds of .csv files to an Amazon S3 bucket each day. The company must convert these files to Apache Parquet format and must store the files in a transformed data bucket.
Which solution will meet these requirements with the LEAST development effort?
정답：C
설명：
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/three-aws-glue-etl-job-types-for-converting-d
질문 # 442
A company is using Amazon Route 53 latency-based routing to route requests to its UDP-based application for users around the world. The application is hosted on redundant servers in the company's on-premises data centers in the United States. Asia, and Europe. The company's compliance requirements state that the application must be hosted on premises The company wants to improve the performance and availability of the application What should a solutions architect do to meet these requirements?
정답：D
설명：
https://aws.amazon.com/step-functions/#:~:text=AWS%20Step%20Functions%20is%20a,machine%
20learning%20(ML)%20pipelines.
"A common use case for AWS Step Functions is a task that requires human intervention (for example, an approval process). Step Functions makes it easy to coordinate the components of distributed applications as a series of steps in a visual workflow called a state machine. You can quickly build and run state machines to execute the steps of your application in a reliable and scalable fashion. (https://aws.amazon.com/pt/blogs
/compute/implementing-serverless-manual-approval-steps-in-aws-step-functions-and-amazon-api-gateway/)"
질문 # 443
A development team uses multiple AWS accounts for its development, staging, and production environments.
Team members have been launching large Amazon EC2 instances that are underutilized. A solutions architect must prevent large instances from being launched in all accounts.
How can the solutions architect meet this requirement with the LEAST operational overhead?
정답：D
설명：
* Understanding the Requirement: The development team needs to prevent the launch of large EC2 instances across multiple AWS accounts used for development, staging, and production environments.
* Analysis of Options:
* IAM Policies: Would need to be applied individually to each user in every account, leading to significant operational overhead.
* AWS Resource Access Manager: Used for sharing resources, not for enforcing restrictions on resource creation.
* IAM Role in Each Account: Requires creating and managing roles in each account, leading to higher operational overhead compared to using a centralized approach.
* Service Control Policy (SCP) with AWS Organizations: Provides a centralized way to enforce policies across multiple AWS accounts, ensuring that large EC2 instances cannot be launched in any account.
* Best Solution:
* Service Control Policy (SCP) with AWS Organizations: This solution offers the least operational overhead by allowing centralized management and enforcement of policies across all accounts, effectively preventing the launch of large EC2 instances.
References:
* AWS Organizations and SCPs
질문 # 444
A company wants to move from many standalone AWS accounts to a consolidated, multi-account architecture The company plans to create many new AWS accounts for different business units. The company needs to authenticate access to these AWS accounts by using a centralized corporate directory service.
Which combination of actions should a solutions architect recommend to meet these requirements? (Select TWO.)
정답：D,E
설명：
AWS Organizations is a service that helps users centrally manage and govern multiple AWS accounts. It allows users to create organizational units (OUs) to group accounts based on business needs or other criteria. It also allows users to define and attach service control policies (SCPs) to OUs or accounts to restrict the actions that can be performed by the accounts1. By creating a new organization in AWS Organizations with all features turned on, the solution can consolidate and manage the new AWS accounts for different business units.
AWS IAM Identity Center (formerly known as AWS Single Sign-On) is a service that provides single sign-on access for all of your AWS accounts and cloud applications. It connects with Microsoft Active Directory through AWS Directory Service to allow users in that directory to sign in to a personalized AWS access portal using their existing Active Directory user names and passwords. From the AWS access portal, users have access to all the AWS accounts and cloud applications that they have permissions for2. By setting up IAM Identity Center in the organization and integrating it with the company's corporate directory service, the solution can authenticate access to these AWS accounts using a centralized corporate directory service.
B: Set up an Amazon Cognito identity pool. Configure AWS 1AM Identity Center (AWS Single Sign-On) to accept Amazon Cognito authentication. This solution will not meet the requirement of authenticating access to these AWS accounts by using a centralized corporate directory service, as Amazon Cognito is a service that provides user sign-up, sign-in, and access control for web and mobile applications, not for corporate directory services3.
C: Configure a service control policy (SCP) to manage the AWS accounts. Add AWS 1AM Identi-ty Center (AWS Single Sign-On) to AWS Directory Service. This solution will not work, as SCPs are used to restrict the actions that can be performed by the accounts in an organization, not to manage the accounts themselves1
Also, IAM Identity Center cannot be added to AWS Directory Service, as it is a separate service that connects with Microsoft Active Directory through AWS Directory Service2.
D: Create a new organization in AWS Organizations. Configure the organization's authentication mechanism to use AWS Directory Service directly. This solution will not work, as AWS Organizations does not have an authentication mechanism that can use AWS Directory Service directly. AWS Organizations relies on IAM Identity Center to provide single sign-on access for the accounts in an organization.
Reference URL: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_integrate_services.html
질문 # 445
An insurance company plans to implement a message filtering feature in their web application. To implement this solution, they need to create separate Amazon SQS queues for each type of quote request. The entire message processing should not exceed 24 hours.
As the Solutions Architect of the company, which of the following should you do to meet the above requirement?
정답：A
설명：
Amazon SNS is a fully managed pub/sub messaging service. With Amazon SNS, you can use topics to simultaneously distribute messages to multiple subscribing endpoints such as Amazon SQS queues, AWS Lambda functions, HTTP endpoints, email addresses, and mobile devices (SMS, Push). Amazon SQS is a message queue service used by distributed applications to exchange messages through a polling model. It can be used to decouple sending and receiving components without requiring each component to be concurrently available.
A fanout scenario occurs when a message published to an SNS topic is replicated and pushed to multiple endpoints, such as Amazon SQS queues, HTTP(S) endpoints, and Lambda functions. This allows for parallel asynchronous processing.
For example, you can develop an application that publishes a message to an SNS topic whenever an order is placed for a product. Then, two or more SQS queues that are subscribed to the SNS topic receive identical notifications for the new order. An Amazon Elastic Compute Cloud (Amazon EC2) server instance attached to one of the SQS queues can handle the processing or fulfillment of the order.
And you can attach another Amazon EC2 server instance to a data warehouse for analysis of all orders received.
By default, an Amazon SNS topic subscriber receives every message published to the topic. You can use Amazon SNS message filtering to assign a filter policy to the topic subscription, and the subscriber will only receive a message that they are interested in. Using Amazon SNS and Amazon SQS together, messages can be delivered to applications that require immediate notification of an event. This method is known as fanout to Amazon SQS queues.
Hence, the correct answer is: Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic. Set the filter policies in the SNS subscriptions to publish the message to the designated SQS queue based on its quote request type.
The option that says: Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic. Publish the same messages to all SQS queues. Filter the messages in each queue based on the quote request type is incorrect because this option will distribute the same messages on all SQS queues instead of its designated queue. You need to fan-out the messages to multiple SQS queues using a filter policy in Amazon SNS subscriptions to allow parallel asynchronous processing. By doing so, the entire message processing will not exceed 24 hours.
The option that says: Create multiple Amazon SNS topics and configure the Amazon SQS queues to subscribe to the SNS topics. Publish the message to the designated SQS queue based on the quote request type is incorrect because to implement the solution asked in the scenario, you only need to use one Amazon SNS topic. To publish it to the designated SQS queue, you must set a filter policy that allows you to fanout the messages. If you didn't set a filter policy in Amazon SNS, the subscribers would receive all the messages published to the SNS topic. Thus, using multiple SNS topics is not an appropriate solution for this scenario.
The option that says: Create a data stream in Amazon Kinesis Data Streams. Use the Amazon Kinesis Client Library to deliver all the records to the designated SQS queues based on the quote request type is incorrect because Amazon KDS is not a message filtering service. You should use Amazon SNS and SQS to distribute the topic to the designated queue.
References:
https://aws.amazon.com/getting-started/hands-on/filter-messages-published-to-topics/
https://docs.aws.amazon.com/sns/latest/dg/sns-message-filtering.html
https://docs.aws.amazon.com/sns/latest/dg/sns-sqs-as-subscriber.html
Check out these Amazon SNS and SQS Cheat Sheets: https://tutorialsdojo.com/amazon-sns/
https://tutorialsdojo.com/amazon-sqs/ Amazon SNS Overview:
https://youtu.be/ft5R45lEUJ8
질문 # 446
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