有効的なAWS-Solutions-Associate模擬試験 &合格スムーズAWS-Solutions-Associate技術内容 |素敵なAWS-Solutions-Associate受験体験

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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Design Secure Architectures	30%	- Design secure workloads and applications 1. Secrets management (AWS Secrets Manager, SSM Parameter Store) 2. Data encryption at rest and in transit (KMS, TLS) - Design secure access to AWS resources 1. Cross-account access strategies 2. IAM users, roles, and policies 3. Least privilege access design
Design High-Performing Architectures	24%	- Storage and database performance 1. RDS vs DynamoDB selection patterns 2. EBS, EFS, and S3 performance considerations - Compute optimization 1. EC2 instance selection and scaling 2. Lambda serverless design patterns
Design Cost-Optimized Architectures	16%	- Cost monitoring and optimization 1. AWS Cost Explorer usage 2. Storage lifecycle policies (S3) - Cost-aware resource selection 1. Reserved Instances vs On-Demand vs Spot 2. Right-sizing EC2 instances
Design Resilient Architectures	30%	- Decoupling mechanisms 1. SQS for messaging 2. SNS for pub/sub notifications 3. Event-driven architectures - Highly available and fault-tolerant architectures 1. Load balancing (ELB, ALB, NLB) 2. Auto Scaling strategies 3. Multi-AZ deployments

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高品質-素晴らしいAWS-Solutions-Associate模擬試験試験-試験の準備方法AWS-Solutions-Associate技術内容

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) 認定 AWS-Solutions-Associate 試験問題 (Q454-Q459):

質問 # 454
An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity. Order data is stored in a table named Orders. The Orders table has a primary key of order-ID and a sort key of product-ID. The company configured an AWS Lambda function to receive DynamoDB streams from the Orders table and update a table named Inventory. The company has noticed that during peak sales periods, updates to the Inventory table take longer than the company can tolerate. Which solutions will resolve the slow table updates? (Select TWO.)

A. Increase the DynamoDB table provisioned capacity by 1,000 read capacity units (RCUs).
B. Increase the DynamoDB table provisioned capacity by 1,000 write capacity units (WCUs).
C. Set the batch size attribute of the DynamoDB streams to be based on the size of items in the Orders table.
D. Increase the timeout of the Lambda function to 15 minutes.
E. Add a global secondary index to the Orders table. Include the product-ID attribute.

正解：B、C

解説：
Key Problem:
Delayed Inventory table updates during peak sales.
DynamoDB Streams and Lambda processing require optimization.
Analysis of Options:
Option A:Adding a GSI is unrelated to the issue. It does not address stream processing delays or capacity issues.
Option B:Optimizing batch size reduces latency and allows the Lambda function to process larger chunks of data at once, improving performance during peak load.
Option C:Increasing write capacity for the Inventory table ensures that it can handle the increased volume of updates during peak times.
Option D:Increasing read capacity for the Orders table does not directly resolve the issue since the problem is with updates to the Inventory table.
Option E:Increasing Lambda timeout only addresses longer processing times but does not solve the underlying throughput problem.
AWS References:
DynamoDB Streams Best Practices
Provisioned Throughput in DynamoDB

質問 # 455
Your team has a tomcat-based Java application you need to deploy into development, test and production environments. After some research, you opt to use Elastic Beanstalk due to its tight integration with your developer tools and RDS due to its ease of management. Your QA team lead points out that you need to roll a sanitized set of production data into your environment on a nightly basis. Similarly, other software teams in your org want access to that same restored data via their EC2 instances in your VPC.
The optimal setup for persistence and security that meets the above requirements would be the following.

A. Create your RDS instance separately and add its IP address to your application's DB connection strings in your code Alter its security group to allow access to it from hosts within your VPC's IP address block.
B. Create your RDS instance separately and pass its DNS name to your's DB connection string as an environment variable Alter its security group to allow access to It from hosts in your application subnets.
C. Create your RDS instance separately and pass its DNS name to your app's DB connection string as an environment variable. Create a security group for client machines and add it as a valid source for DB traffic to the security group of the RDS instance itself.
D. Create your RDS instance as part of your Elastic Beanstalk definition and alter its security group to allow access to it from hosts in your application subnets.

正解：D

質問 # 456
What is Amazon Glacier?

A. A low-cost storage service that provides secure and durable storage for data archiving and backup.
B. You mean Amazon "Iceberg": it's a low-cost storage service.
C. It's a security tool that allows to "freeze" an EC2 instance and perform computer forensics on it.
D. A security tool that allows to "freeze" an EBS volume and perform computer forensics on it.

正解：A

質問 # 457
A company needs to transfer 600 TB of data from its on-premises network-attached storage (NAS) system to the AWS Cloud. The data transfer must be complete within 2 weeks. The data is sensitive and must be encrypted in transit. The company's internet connection can support an upload speed of 100 Mbps.
Which solution meets these requirements MOST cost-effectively?

A. Set up a 10 Gbps AWS Direct Connect connection between the company location and (he nearest AWS Region Transfer the data over a VPN connection into the Region to store the data in Amazon S3
B. Create a VPN connection between the on-premises NAS system and the nearest AWS Region Transfer the data over the VPN connection
C. Use Amazon S3 multi-part upload functionality to transfer the fees over HTTPS
D. Use the AWS Snow Family console to order several AWS Snowball Edge Storage Optimized devices Use the devices to transfer the data to Amazon S3.

正解：D

解説：
The best option is to use the AWS Snow Family console to order several AWS Snowball Edge Storage Optimized devices and use the devices to transfer the data to Amazon S3. Snowball Edge is a petabyte-scale data transfer device that can help transfer large amounts of data securely and quickly. Using Snowball Edge can be the most cost-effective solution for transferring large amounts of data over long distances and can help meet the requirement of transferring 600 TB of data within two weeks.

質問 # 458
A company recently deployed a two-tier application in two Availability Zones in the us-east-1 Region. The databases are deployed in a private subnet while the web servers are deployed in a public subnet. An internet gateway is attached to the VPC. The application and database run on Amazon EC2 instances. The database servers are unable to access patches on the internet. A solutions architect needs to design a solution that maintains database security with the least operational overhead.
Which solution meets these requirements?

A. Deploy two NAT instances inside the public subnet for each Availability Zone and associate them with Elastic IP addresses. Update the routing table of the private subnet to use it as the default route.
B. Deploy a NAT gateway inside the private subnet for each Availability Zone and associate it with an Elastic IP address. Update the routing table of the private subnet to use it as the default route.
C. Deploy two NAT instances inside the private subnet for each Availability Zone and associate them with Elastic IP addresses. Update the routing table of the private subnet to use it as the default route.
D. Deploy a NAT gateway inside the public subnet for each Availability Zone and associate it with an Elastic IP address. Update the routing table of the private subnet to use it as the default route.

正解：D

質問 # 459
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