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Amazon AWS-Solutions-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Design Cost-Optimized Architectures | 20% | - Select cost-effective database solutions
- 1. Capacity planning and optimization
- 2. Database service pricing models
- Identify cost-effective storage solutions
- 1. Lifecycle management
- 2. Storage class selection
- 3. Data retention and archiving
- Design cost-effective compute solutions
- 1. Instance type and purchasing options
- 2. Serverless vs provisioned resources
- 3. Right-sizing and scaling
- Estimate costs and identify cost control mechanisms
- 1. Budgeting and alerts
- 2. Cost management tools
- Design cost-effective network architectures
- 1. Connectivity options selection
- 2. Data transfer cost optimization
|
| Topic 2: Design Secure Architectures | 30% | - Design solutions for secure networks
- 1. Private access options
- 2. Edge security and protection
- 3. VPC design and connectivity
- Design solutions for secure workloads
- 1. Compliance and governance
- 2. Data protection and encryption
- 3. Security groups and network ACLs
- Design solutions for secure access
- 1. Secure API access
- 2. Federated access and AWS SSO
- 3. Identity and access management (IAM)
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and fault-tolerant architectures
- 1. Replication and backup strategies
- 2. Load balancing and auto scaling
- 3. Multi-AZ and multi-region deployments
- Determine how to isolate workloads
- 1. Isolation boundaries and security domains
- 2. Resource separation and segmentation
- Design solutions for disaster recovery
- 1. Cross-region replication and failover
- 2. Recovery strategies (backup, restore, pilot light, warm standby, multi-site)
- 3. RTO and RPO planning
|
| Topic 4: Design High-Performing Architectures | 24% | - Determine high-performance storage solutions
- 1. Data transfer and acceleration
- 2. Caching strategies
- 3. Storage service selection (S3, EBS, EFS, FSx)
- Design high-performance network architectures
- 1. Edge delivery and content distribution
- 2. Network optimization and routing
- Design high-performance compute solutions
- 1. Placement groups and networking
- 2. Scaling and performance optimization
- 3. Compute options (EC2, Lambda, ECS, EKS, Fargate)
- Design high-performance database solutions
- 1. Database service selection (RDS, Aurora, DynamoDB, Neptune)
- 2. Data partitioning and distribution
- 3. Read replicas and caching
|
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최신 AWS Certified Solutions Architect AWS-Solutions-Associate 무료샘플문제 (Q188-Q193):
질문 # 188
A Solutions Architect is designing an application on AWS that uses persistent block storage. Data must be encrypted at rest.
Which solution meets the requirement?
- A. Encrypt Amazon EBS volumes on Amazon EC2 instances.
- B. Encrypt Amazon EC2 Instance Storage.
- C. Enable SSL on Amazon EC2 instances.
- D. Enable server-side encryption on Amazon S3.
정답:A
설명:
https://aws.amazon.com/blogs/aws/protect-your-data-with-new-ebs-encryption/
질문 # 189
A solutions architect is designing a customer-facing application for a company. The application's database will have a clearly defined access pattern throughout the year and will have a variable number of reads and writes that depend on the time of year. The company must retain audit records for the database for 7 days. The recovery point objective (RPO) must be less than 5 hours.
Which solution meets these requirements?
- A. Use Amazon Aurora MySQL with auto scaling. Activate the database auditing parameter.
- B. Use Amazon RDS with Provisioned IOPS. Activate the database auditing parameter. Perform database snapshots every 5 hours.
- C. Use Amazon DynamoDB with auto scaling. Use on-demand backups and Amazon DynamoDB Streams.
- D. Use Amazon Redshift. Configure concurrency scaling. Activate audit logging. Perform database snapshots every 4 hours.
정답:A
설명:
Amazon Aurora MySQL provides:
* Continuous, incremental backups to Amazon S3 with point-in-time recovery (PITR), allowing recovery to any point within the retention window (typically up to 35 days). This easily achieves an RPO of less than 5 hours, often down to seconds.
* Support for database auditing parameters so audit logs can be retained and managed (for example, in database logs or external log services) to meet the 7-day audit requirement.
* Auto scaling (via read replicas, Aurora Serverless v2, or capacity management) to handle variable read
/write demand throughout the year with minimal operational overhead.
Why others are less suitable:
* A: DynamoDB is NoSQL and does not directly satisfy typical relational database + SQL audit requirements; Streams also only retain 24 hours, not 7 days, and on-demand backups do not inherently give an RPO < 5 hours without frequent scheduling.
* B: Amazon Redshift is a data warehouse, not a primary transactional application database.
* C: Snapshots every 5 hours give an RPO of up to 5 hours, not less than 5 hours, and rely on discrete snapshot points rather than continuous PITR.
질문 # 190
A company runs a stateful production application on Amazon EC2 instances The application requires at least two EC2 instances to always be running.
A solutions architect needs to design a highly available and fault-tolerant architecture for the application. The solutions architect creates an Auto Scaling group of EC2 instances.
Which set of additional steps should the solutions architect take to meet these requirements?
- A. Set the Auto Scaling group's minimum capacity to four Deploy two On-Demand Instances in one Availability Zone and two Spot Instances in a second Availability Zone.
- B. Set the Auto Scaling group's minimum capacity to two. Deploy four Spot Instances in one Availability Zone.
- C. Set the Auto Scaling group's minimum capacity to two. Deploy one On-Demand Instance in one Availability Zone and one On-Demand Instance in a second Availability Zone.
- D. Set the Auto Scaling group's minimum capacity to four Deploy two On-Demand Instances in one Availability Zone and two On-Demand Instances in a second Availability Zone
정답:C
설명:
Understanding the Requirement: The application is stateful and requires at least two EC2 instances to be running at all times, with a highly available and fault-tolerant architecture.
Analysis of Options:
Minimum capacity of two with instances in separate AZs: Ensures high availability by distributing instances across multiple AZs, fulfilling the requirement of always having two instances running.
Minimum capacity of four: Provides redundancy but is more than what is required and increases cost without additional benefit.
Spot Instances: Not suitable for a stateful application requiring guaranteed availability, as Spot Instances can be terminated at any time.
Combination of On-Demand and Spot Instances: Mixing instance types might provide cost savings but does not ensure the required availability for a stateful application.
Best Solution:
Minimum capacity of two with instances in separate AZs: This setup ensures high availability and meets the requirement with the least cost and complexity.
References:
Amazon EC2 Auto Scaling
High Availability for Amazon EC2
질문 # 191
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 as part of your Elastic Beanstalk definition and alter its security group to allow access to it from hosts in your application subnets.
- B. 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.
- 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 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.
정답:A
질문 # 192
A company wants to migrate its MySQL database from on premises to AWS. The company recently experienced a database outage that significantly impacted the business. To ensure this does not happen again, the company wants a reliable database solution on AWS that minimizes data loss and stores every transaction on at least two nodes.
Which solution meets these requirements?
- A. Create an Amazon RDS DB instance with synchronous replication to three nodes in three Availability Zones.
- B. Create an Amazon EC2 instance with a MySQL engine installed that triggers an AWS Lambda function to synchronously replicate the data to an Amazon RDS MySQL DB instance.
- C. Create an Amazon RDS MySQL DB instance with Multi-AZ functionality enabled to synchronously replicate the data.
- D. Create an Amazon RDS MySQL DB instance and then create a read replica in a separate AWS Region that synchronously replicates the data.
정답:C
설명:
Q: What does Amazon RDS manage on my behalf?
Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software. Once your database is up and running, Amazon RDS automates common administrative tasks such as performing backups and patching the software that powers your database. With optional Multi-AZ deployments, Amazon RDS also manages synchronous data replication across Availability Zones with automatic failover.
https://aws.amazon.com/rds/faqs/
질문 # 193
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