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Amazon SAA-C03 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect – Associate (SAA-C03)
Exam Number:	SAA-C03
Available Languages:	Simplified Chinese, Japanese, Korean, English
Real Exam Qty:	65 (approximate; multiple choice and multiple response)
Exam Duration:	130 minutes
Exam Format:	Multiple choice, Multiple response
Certificate Validity Period:	3 years
Exam Price:	150 USD
Related Certifications:	AWS Certified SysOps Administrator – Associate AWS Certified Developer – Associate AWS Certified Solutions Architect – Professional
Passing Score:	720 (scaled score out of 1000)
Recommended Training:	AWS Skill Builder AWS Solutions Architect Learning Path
Exam Registration:	Pearson VUE Registration AWS Certification Portal
Sample Questions:	Amazon SAA-C03 Sample Questions
Exam Way:	Online proctored or test center exam via Pearson VUE
Pre Condition:	No formal prerequisites. AWS recommends at least 1 year of hands-on experience designing distributed systems on AWS.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-solutions-architect-associate/

>> SAA-C03試験復習赤本 <<

SAA-C03試験復習赤本を選択 - AWS Certified Solutions Architect - Associateに別れを告げる

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Amazon SAA-C03（Amazon AWS Certified Solutions Architect-Associate）認定試験は、Amazon Web Services（AWS）プラットフォーム上のスケーラブル、高度に利用可能な、およびフォールトトレラントシステムの設計と展開の専門知識を確立したいITプロフェッショナル向けに設計されています。この試験は、AWSサービスを扱った経験があり、AWSクラウドコンピューティングの基本的な知識を持っている個人を対象としています。

Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q223-Q228):

質問 # 223
[Design High-Performing Architectures]
A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.
What should a solutions architect do to accomplish this goal?

A. Create an Amazon S3 bucket lo store objects that are encrypted with an AWS Key C. Management Service (AWS KMS) encryption key. Migrate the credential file to the S3 bucket. Point the application to the S3 bucket.
B. Use AWS Systems Manager Parameter Store. Turn on automatic rotation.
C. Create an encrypted Amazon Elastic Block Store (Amazon EBS) volume (or each EC2 instance. Attach the new EBS volume to each EC2 instance. Migrate the credential file to the new EBS volume. Point the application to the new EBS volume.
D. Use AWS Secrets Manager. Turn on automatic rotation.

正解：D

解説：
https://aws.amazon.com/cn/blogs/security/how-to-connect-to-aws-secrets-manager-service-within-a-virtual-private-cloud/
https://aws.amazon.com/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-manager/

質問 # 224
A company is building a containerized application on premises and decides to move the application to AWS.
The application will have thousands of users soon after li is deployed. The company Is unsure how to manage the deployment of containers at scale. The company needs to deploy the containerized application in a highly available architecture that minimizes operational overhead.
Which solution will meet these requirements?

A. Store container images In an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand.
B. Create an Amazon EC2 Amazon Machine Image (AMI) that contains the container image Launch EC2 Instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon CloudWatch alarm to scale out EC2 instances when the average CPU utilization threshold is breached.
C. Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type to run the containers. Use target tracking to scale automatically based on demand.
D. Store container images in a repository that runs on an Amazon EC2 instance. Run the containers on EC2 instances that are spread across multiple Availability Zones. Monitor the average CPU utilization in Amazon CloudWatch. Launch new EC2 instances as needed

正解：A

解説：
Explanation
AWS Fargate is a serverless experience for user applications, allowing the user to concentrate on building applications instead of configuring and managing servers. Fargate also automates resource management, allowing users to easily scale their applications in response to demand.

質問 # 225
A company hosts its multi-tier, public web application in the AWS Cloud. The web application runs on Amazon EC2 instances, and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build asolution to analyze the performance of the web application with a granularity of no more than 2 minutes. What should the solutions architect do to meet this requirement?

A. Send EC2 logs to Amazon S3. Use Amazon Redshift to fetch togs from the S3 bucket to process raw data tor further analysis with Amazon QuickSight.
B. Send Amazon CloudWatch logs to Amazon Redshift. Use Amazon QuickSight to perform further analysis.
C. Enable detailed monitoring on all EC2 instances. Use Amazon CloudWatch metrics to perform further analysis.
D. Create an AWS Lambda function to fetch EC2 logs from Amazon CloudWatch Logs. Use Amazon CloudWatch metrics to perform further analysis.

正解：C

解説：
To analyze the performance of the web application with granularity of no more than 2 minutes, enablingdetailed monitoringon EC2 instances is the best solution. By default, CloudWatch provides metrics at a 5-minute interval. Enabling detailed monitoring allows you to collect metrics at 1-minute intervals, which will give you the level of granularity you need to analyze performance during peak traffic.
Amazon CloudWatch metrics can then be used to analyze CPU utilization, memory usage, disk I/O, and network throughput, among other performance-related metrics, at the desired granularity.
Option A: Sending CloudWatch logs to Redshift for analysis is unnecessary and overcomplicated for simple performance analysis, which can be done using CloudWatch metrics alone.
Option C: Fetching EC2 logs via Lambda adds complexity, and CloudWatch metrics already provide the required data for performance analysis.
Option D: Sending logs to S3 and using Redshift for analysis is also more complex than necessary for simple performance monitoring.

質問 # 226
A company moved its on-premises PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. The company successfully launched a new product. The workload on the database has increased.
The company wants to accommodate the larger workload without adding infrastructure.
Which solution will meet these requirements MOST cost-effectively?

A. Buy reserved DB instances for the total workload. Add another Amazon RDS for PostgreSQL DB instance.
B. Make the Amazon RDS for PostgreSQL DB instance a Multi-AZ DB instance.
C. Make the Amazon RDS for PostgreSQL DB instance an on-demand DB instance.
D. Buy reserved DB instances for the total workload. Make the Amazon RDS for PostgreSQL DB instance larger.

正解：D

解説：
This answer is correct because it meets the requirements of accommodating the larger workload without adding infrastructure and minimizing the cost. Reserved DB instances are a billing discount applied to the use of certain on-demand DB instances in your account. Reserved DB instances provide you with a significant discount compared to on-demand DB instance pricing. You can buy reserved DB instances for the total workload and choose between three payment options: No Upfront, Partial Upfront, or All Upfront. You can make the Amazon RDS for PostgreSQL DB instance larger by modifying its instance type to a higher performance class. This way, you can increase the CPU, memory, and network capacity of your DB instance and handle the increased workload.
Reference:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithReservedDBInstances.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.html

質問 # 227
A company is preparing to deploy a new serverless workload. A solutions architect must use the principle of least privilege to configure permissions that will be used to run an AWS Lambda function. An Amazon EventBridge (Amazon CloudWatch Events) rule will invoke the function.
Which solution meets these requirements?

A. Add a resource-based policy to the function with lambda: InvokeFunction as the action and Service:events.amazonaws.com as the principal.
B. Add an execution role to the function with lambda: InvokeFunction as the action and Service:
amazonaws.com as the principal.
C. Add an execution role to the function with lambda: InvokeFunction as the action and * as the principal.
D. Add a resource-based policy to the function with lambda:'* as the action and Service:events.amazonaws.
com as the principal.

正解：A

解説：
https://docs.aws.amazon.com/eventbridge/latest/userguide/resource-based-policies-eventbridge.html#lambda- permissions

質問 # 228
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