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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design High-Performing Architectures24%- Identify elastic and scalable compute solutions
  • 1. Container-based solutions
  • 2. Amazon ECS, EKS, Lambda
  • 3. EC2 Auto Scaling
  • 4. Serverless architectures
- Design data transfer solutions
  • 1. AWS DataSync, Snow Family
  • 2. Network optimization
  • 3. S3 Transfer Acceleration
- Design highly available and scalable storage solutions
  • 1. Data lifecycle management
  • 2. Amazon S3 storage classes
  • 3. Amazon EFS, EBS, FSx
  • 4. Storage cost optimization
Topic 2: Design Secure Architectures30%- Design secure application tiers
  • 1. AWS PrivateLink, VPC endpoints
  • 2. VPC architecture (subnets, ACLs, security groups)
  • 3. Public vs private subnets
  • 4. Application security patterns
- Design secure access to AWS resources
  • 1. IAM permissions boundaries
  • 2. Least privilege principles
  • 3. IAM users, groups, roles, and policies
  • 4. AWS STS and temporary credentials
- Appropriate data security controls
  • 1. Encryption at rest and in transit
  • 2. S3 bucket policies and access controls
  • 3. AWS KMS, AWS CloudHSM
  • 4. Security posture management
Topic 3: Design Resilient Architectures26%- Design multi-tier architectures
  • 1. Auto Scaling groups
  • 2. Highly available architecture patterns
  • 3. Multi-AZ deployments
  • 4. Load balancing strategies
- Implement appropriate caching strategies
  • 1. Amazon ElastiCache
  • 2. AWS Global Accelerator
  • 3. Amazon CloudFront
  • 4. Cache invalidation strategies
- Design highly available architectures
  • 1. Fault-tolerant design patterns
  • 2. RTO and RPO considerations
  • 3. Disaster recovery strategies
  • 4. Amazon Route 53 routing policies
Topic 4: Design Cost-Optimized Architectures20%- Design cost-optimized compute solutions
  • 1. Auto Scaling cost optimization
  • 2. Right-sizing resources
  • 3. Reserved Instances vs On-Demand vs Spot
  • 4. Savings Plans
- Design cost-optimized database solutions
  • 1. Database caching strategies
  • 2. Amazon RDS, Aurora pricing
  • 3. Cost-effective query patterns
  • 4. DynamoDB on-demand vs provisioned
- Design cost-optimized storage solutions
  • 1. Cost-effective data storage patterns
  • 2. Intelligent Tiering
  • 3. S3 lifecycle policies
  • 4. Storage Gateway

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q367-Q372):

NEW QUESTION # 367
You are designing a scalable web application with stateless web servers. Which service or feature is well suited to store user session information?

Answer: A


NEW QUESTION # 368
A solutions architect is optimizing a website for an upcoming musical event. Videos of the performances will be streamed in real time and then will be available on demand. The event is expected to attract a global online audience.
Which service will improve the performance of both the real-lime and on-demand streaming?

Answer: D

Explanation:
Explanation
You can use CloudFront to deliver video on demand (VOD) or live streaming video using any HTTP origin.
One way you can set up video workflows in the cloud is by using CloudFront together with AWS Media Services.
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/on-demand-streaming-video.html


NEW QUESTION # 369
A company has a mobile chat application with a data store based in Amazon uynamoUb. users would like new messages to be read with as little latency as possible A solutions architect needs to design an optimal solution that requires minimal application changes.
Which method should the solutions architect select?

Answer: A

Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/dynamodb-high-latency/ Amazon DynamoDB Accelerator (DAX) is a fully managed in-memory cache for DynamoDB that improves the performance of DynamoDB tables by up to 10 times and provides microsecond level of response time at any scale. It is compatible with DynamoDB API operations and requires minimal code changes to use1. By configuring DAX for the new messages table, the solution can reduce the latency for reading new messages with minimal application changes.
B: Add DynamoDB read repticas to handle the increased read load. Update the application to point to the read endpoint for the read replicas. This solution will not work, as DynamoDB does not support read replicas as a feature. Read replicas are available for Amazon RDS, not for DynamoDB C: Double the number of read capacity units for the new messages table in DynamoDB. Continue to use the existing DynamoDB endpoint. This solution will not meet the requirement of reading new messages with as little latency as possible, as increasing the read capacity units will only increase the throughput of DynamoDB, not the performance or latency3.
D: Add an Amazon ElastiCache for Redis cache to the application stack. Update the application to point to the Redis cache endpoint instead of DynamoDB. This solution will not meet the requirement of minimal application changes, as adding ElastiCache for Redis will require significant code changes to implement caching logic, such as querying cache first, updating cache after writing to DynamoDB, and invalidating cache when needed.
Reference URL: https://aws.amazon.com/dynamodb/dax/


NEW QUESTION # 370
What happens to data on an ephemeral volume of an EBS-backed EC2 instance if it is terminated or if it fails?

Answer: A

Explanation:
Any data on the instance store volumes persists as long as the instance is running, but this data is deleted when the instance is terminated or if it fails (such as if an underlying drive has issues). After an instance store-backed instance fails or terminates, it cannot be restored.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/RootDeviceStorage.html


NEW QUESTION # 371
A company wants to host a scalable web application on AWS. The application will be accessed by users from different geographic regions of the world. Application users will be able to download and upload unique data up to gigabytes in size. The development team wants a cost-effective solution to minimize upload and download latency and maximize performance.
What should a solutions architect do to accomplish this?

Answer: C


NEW QUESTION # 372
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