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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Resilient Architectures26%- Design highly available and fault-tolerant architectures
  • 1. Load balancing and auto scaling
  • 2. Replication and backup strategies
  • 3. Multi-AZ and multi-region deployments
- Determine how to isolate workloads
  • 1. Resource separation and segmentation
  • 2. Isolation boundaries and security domains
- Design solutions for disaster recovery
  • 1. Recovery strategies (backup, restore, pilot light, warm standby, multi-site)
  • 2. RTO and RPO planning
  • 3. Cross-region replication and failover
Topic 2: Design High-Performing Architectures24%- Determine high-performance storage solutions
  • 1. Caching strategies
  • 2. Storage service selection (S3, EBS, EFS, FSx)
  • 3. Data transfer and acceleration
- Design high-performance network architectures
  • 1. Edge delivery and content distribution
  • 2. Network optimization and routing
- Design high-performance database solutions
  • 1. Read replicas and caching
  • 2. Database service selection (RDS, Aurora, DynamoDB, Neptune)
  • 3. Data partitioning and distribution
- Design high-performance compute solutions
  • 1. Compute options (EC2, Lambda, ECS, EKS, Fargate)
  • 2. Placement groups and networking
  • 3. Scaling and performance optimization
Topic 3: Design Cost-Optimized Architectures20%- Select cost-effective database solutions
  • 1. Database service pricing models
  • 2. Capacity planning and optimization
- Estimate costs and identify cost control mechanisms
  • 1. Cost management tools
  • 2. Budgeting and alerts
- Design cost-effective compute solutions
  • 1. Instance type and purchasing options
  • 2. Right-sizing and scaling
  • 3. Serverless vs provisioned resources
- Identify cost-effective storage solutions
  • 1. Data retention and archiving
  • 2. Lifecycle management
  • 3. Storage class selection
- Design cost-effective network architectures
  • 1. Connectivity options selection
  • 2. Data transfer cost optimization
Topic 4: Design Secure Architectures30%- Design solutions for secure workloads
  • 1. Security groups and network ACLs
  • 2. Data protection and encryption
  • 3. Compliance and governance
- Design solutions for secure networks
  • 1. Edge security and protection
  • 2. VPC design and connectivity
  • 3. Private access options
- Design solutions for secure access
  • 1. Secure API access
  • 2. Identity and access management (IAM)
  • 3. Federated access and AWS SSO

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q608-Q613):

NEW QUESTION # 608
A company is running a multi-tier web application on AWS. The application runs its database tier on Amazon Aurora MySQL. The application and database tiers are in the us-east-1 Region. A database administrator who regularly monitors the Aurora DB cluster finds that an intermittent increase in read traffic is creating high CPUutilization on the read replica and causing increased read latency of the application.
What should a solutions architect do to improve read scalability?

Answer: A


NEW QUESTION # 609
A company wants to move its on-premises network attached storage (NAS) to AWS The company wants to make the data available to any Linux instances within its VPC and ensure changes are automatically synchronized across all instances accessing the data store The majority of the data is accessed very rarely, and some files are accessed by multiple users at the same time Which solution meets these requirements and is MOST cost-effective?

Answer: C


NEW QUESTION # 610
Which of the following instance types are available as Amazon EBS-backed only? Choose 2 answers

Answer: D,E


NEW QUESTION # 611
You are very concerned about security on your network because you have multiple programmers testing
APIs and SDKs and you have no idea what is happening. You think CloudTrail may help but are not sure what it does. Which of the following statements best describes the AWS service CloudTrail?

Answer: D

Explanation:
With AWS CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, the AWS SDKs, the command line tools, and higher-level AWS services. You can also identify which users and accounts called AWS APIs for services that support
CloudTrail, the source IP address the calls were made from, and when the calls occurred.
You can identify which users and accounts called AWS for services that support CloudTrail, the source IP address the calls were made from, and when the calls occurred. You can integrate CloudTrail into applications using the API, automate trail creation for your organization, check the status of your trails, and control how administrators turn CloudTrail logging on and off.
Reference:
http://docs.aws.amazon.com/awscloudtrail/latest/userguide/what_is_cloud_trail_top_level.html


NEW QUESTION # 612
A company owns an asynchronous API that is used to ingest user requests and, based on the request type, dispatch requests to the appropriate microservice for processing. The company is using Amazon API Gateway to deploy the API front end, and an AWS Lambda function that invokes Amazon DynamoDB to store user requests before dispatching them to the processing microservices.
The company provisioned as much DynamoDB throughput as its budget allows, but the company is still experiencing availability issues and is losing user requests.
What should a solutions architect do to address this issue without impacting existing users?

Answer: A

Explanation:
By using an SQS queue and Lambda, the solutions architect can decouple the API front end from the processing microservices and improve the overall scalability and availability of the system. The SQS queue acts as a buffer, allowing the API front end to continue accepting user requests even if the processing microservices are experiencing high workloads or are temporarily unavailable. The Lambda function can then retrieve requests from the SQS queue and write them to DynamoDB, ensuring that all user requests are stored and processed. This approach allows the company to scale the processing microservices independently from the API front end, ensuring that the API remains available to users even during periods of high demand.


NEW QUESTION # 613
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