真実的なAmazon SAA-C03英語版 &合格スムーズSAA-C03練習問題集 |検証するSAA-C03ブロンズ教材

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Amazon SAA-C03認定試験は、AWSサービスを完全に理解し、その知識を実際のシナリオに適用する能力を必要とする包括的な試験です。試験に合格した候補者は、計算、ストレージ、ネットワーキング、セキュリティサービスなど、AWSインフラストラクチャを設計および展開する能力を示しています。また、パフォーマンス、コスト、スケーラビリティのためにAWSサービスを最適化する能力も示しています。

Amazon SAA-C03 認定は、AWSで働くことに興味がある個人にとって必須の認定であり、AWSサービスとそのベストプラクティスの包括的な理解を提供し、IT業界の雇用主から高く評価されています。

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Amazon SAA-C03英語版: AWS Certified Solutions Architect - Associate - CertShiken 高い合格率を確保する

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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q708-Q713):

質問 # 708
A company's marketing data is uploaded from multiple sources to an Amazon S3 bucket A series ot data preparation jobs aggregate the data for reporting The data preparation jobs need to run at regular intervals in parallel A few jobs need to run in a specific order later The company wants to remove the operational overhead of job error handling retry logic, and state management Which solution will meet these requirements?

正解：C

解説：
AWS Glue DataBrew is a visual data preparation tool that allows you to easily clean, normalize, and transform your data without writing any code. You can create and run data preparation jobs on your data stored in Amazon S3, Amazon Redshift, or other data sources. AWS Step Functions is a service that lets you coordinate multiple AWS services into serverless workflows. You can use Step Functions to orchestrate your DataBrew jobs, define the order and parallelism of execution, handle errors and retries, and monitor the state of your workflow. By using AWS Glue DataBrew and AWS Step Functions, you can meet the requirements of the company with minimal operational overhead, as you do not need to write any code, manage any servers, or deal with complex dependencies.
References:
AWS Glue DataBrew
AWS Step Functions
Orchestrate AWS Glue DataBrew jobs using AWS Step Functions


質問 # 709
A company has a custom application with embedded credentials that retrieves information from an Amazon RDS MySQL DB instance. Management says the application must be made more secure with the least amount of programming effort.
What should a solutions architect do to meet these requirements?

正解：B

解説：
https://aws.amazon.com/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-m


質問 # 710
A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary but the beseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run.
Currently engineering complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group's capacity.
Which solution will meet these requiements with the LEAST operational overhead?

正解：D

解説：
This option is the most efficient because it uses a predictive scaling policy for the Auto Scaling group, which is a type of scaling policy that uses machine learning to predict capacity requirements based on historical data from CloudWatch1. It also configures the policy to scale based on forecast, which enables the Auto Scaling group to adjust its capacity in advance of traffic changes. It also sets the scaling metric to CPU utilization and the target value for the metric to 60%, which aligns with the baseline CPU utilization that is noted on each run. It also sets the instances to pre-launch 30 minutes before the jobs run, which ensures that enough capacity is provisioned before the weekly scripted batch jobs start. This solution meets the requirement of provisioning the capacity 30 minutes before the jobs run with the least operational overhead. Option A is less efficient because it uses a dynamic scaling policy for the Auto Scaling group, which is a type of scaling policy that adjusts your Auto Scaling group's capacity in response to changing demand2. However, this does not provide a way to provision the capacity 30 minutes before the jobs run, as it only reacts to changing traffic. Option B is less efficient because it uses a scheduled scaling policy for the Auto Scaling group, which is a type of scaling policy that lets you scale your Auto Scaling group based on a schedule that you create3. However, this does not provide a way to scale based on forecast or CPU utilization, as it only scales based on predefined metrics and policies. Option D is less efficient because it uses an Amazon EventBridge event to invoke an AWS Lambda function when the CPU utilization metric value for the Auto Scaling group reaches 60%, which is a way to trigger serverless functions based on events. However, this does not provide a way to provision the capacity 30 minutes before the jobs run, as it only reacts to changing traffic.


質問 # 711
A financial application is composed of an Auto Scaling group of EC2 instances, an Application Load Balancer, and a MySQL RDS instance in a Multi-AZ Deployments configuration. To protect the confidential data of your customers, you have to ensure that your RDS database can only be accessed using the profile credentials specific to your EC2 instances via an authentication token.
As the Solutions Architect of the company, which of the following should you do to meet the above requirement?

正解：D

解説：
You can authenticate to your DB instance using AWS Identity and Access Management (IAM) database authentication. IAM database authentication works with MySQL and PostgreSQL. With this authentication method, you don't need to use a password when you connect to a DB instance. Instead, you use an authentication token.
An authentication token is a unique string of characters that Amazon RDS generates on request.
Authentication tokens are generated using AWS Signature Version 4.
Each token has a lifetime of 15 minutes. You don't need to store user credentials in the database, because authentication is managed externally using IAM. You can also still use standard database authentication.


IAM database authentication provides the following benefits:
Network traffic to and from the database is encrypted using Secure Sockets Layer (SSL).
You can use IAM to centrally manage access to your database resources, instead of managing access individually on each DB instance.
For applications running on Amazon EC2, you can use profile credentials specific to your EC2 instance to access your database instead of a password, for greater security Hence, enabling IAM DB Authentication is the correct answer based on the above reference. Configuring SSL in your application to encrypt the database connection to RDS is incorrect because an SSL connection is not using an authentication token from IAM. Although configuring SSL to your application can improve the security of your data in flight, it is still not a suitable option to use in this scenario.
Creating an IAM Role and assigning it to your EC2 instances which will grant exclusive access to your RDS instance is incorrect because although you can create and assign an IAM Role to your EC2 instances, you still need to configure your RDS to use IAM DB Authentication.
Using a combination of IAM and STS to restrict access to your RDS instance via a temporary token is incorrect because you have to use IAM DB Authentication for this scenario, and not a combination of an IAM and STS. Although STS is used to send temporary tokens for authentication, this is not a compatible use case for RDS.
Explanation:
Reference:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.html Check out this Amazon RDS cheat sheet:
https://tutorialsdojo.com/amazon-relational-database-service-amazon-rds/


質問 # 712
A company runs a web application on Amazon EC2 instances in multiple Availability Zones. The EC2 instances are in private subnets. A solutions architect implements an internet-facing Application Load Balancer (ALB) and specifies the EC2 instances as the target group. However, the internet traffic is not reaching the EC2 instances.
How should the solutions architect reconfigure the architecture to resolve this issue?

正解：C

解説：
https://aws.amazon.com/premiumsupport/knowledge-center/public-load-balancer-private-ec2/


質問 # 713
......

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