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Amazon AWS-Solutions-Architect-Associate Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q59-Q64):

NEW QUESTION # 59
A solutions architect needs to copy files from an Amazon S3 bucket to an Amazon Elastic File System (Amazon EFS) file system and another S3 bucket. The files must be copied continuously.New files are added to the original S3 bucket consistently. The copied files should be overwritten only if the source file changes.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: C

Explanation:
AWS DataSync is a service that makes it easy to move large amounts of data between AWS storage services and on-premises storage systems. AWS DataSync can copy files from an S3 bucket to an EFS file system and another S3 bucket continuously, as well as overwrite only the files that have changed in the source. This solution will meet the requirements with the least operational overhead, as it does not require any code development or manual intervention.
References:
4 explains how to create AWS DataSync locations for different storage services.
5 describes how to create and configure AWS DataSync tasks for data transfer.
6 discusses the different transfer modes that AWS DataSync supports.


NEW QUESTION # 60
At part of budget planning. management wants a report of AWS billed dams listed by user. The data will be used to create department budgets. A solution architect needs to determine the most efficient way to obtain this report Information Which solution meets these requirement?

Answer: B

Explanation:
This option is the most efficient because it uses Cost Explorer, which is a tool that allowsyou to visualize, understand, and manage your AWS costs and usage over time1. You can create a report in CostExplorer that lists AWS billed items by user, using the user name tag as a filter2. You can then download the report as a CSV file and use it for budget planning. Option A is less efficient because it uses Amazon Athena, which is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL3. You would need to set up an Athena table that points to your AWS Cost and Usage Report data in S3, and then run a query to generate the report. This would incur additional costs and complexity. Option C is less efficient because it uses the billing dashboard, which provides a high-level summary of your AWS costsand usage.
You can access the bill details from the billing dashboard and download them via bill, but this would not list the billed items by user. You would need to use tags to group your costs by user name, which would require additional steps. Option D is less efficient because it uses AWS Budgets, which is a tool that allows you to plan your service usage, service costs, and instance reservations. You can modify a cost budget in AWS Budgets to alert with Amazon Simple Email Service (Amazon SES), but this would not generate a report of AWS billed items by user. This would only notify you when your actual or forecasted costs exceed or are expected to exceed your budgeted amount.


NEW QUESTION # 61
A company runs an application on three very large Amazon EC2 instances In a single Availability Zone in the us-east-1 Region Multiple 16 TB Amazon Elastic Block Store (Amazon EBS) volumes are attached to each EC2 instance. The operations team uses an AWS Lambda script triggered by a schedule-based Amazon EventBridge (Amazon CloudWatch Events) rule to stop the instances on evenings and weekends, and start the instances on weekday mornings.
Before deploying the solution, the company used the public AWS pricing documentation to estimate the overall costs of running this data warehouse solution 5 days a week for 10 hours a day. When looking at monthly Cost Explorer charges for this new account, the overall charges are higher than the estimate.
What is the MOST likely cost factor that the company overlooked?

Answer: D


NEW QUESTION # 62
A solutions architect is designing an application for a two-step order process The first step is synchronous and must return to the user with little latency The second step takes longer, so it will be implemented in a separate component Orders must be processed exactly once and in the order in which they are received How should the solutions architect integrate these components?

Answer: C


NEW QUESTION # 63
A company runs container applications by using Amazon Elastic Kubernetes Service (Amazon EKS) and the Kubernetes Horizontal Pod Autoscaler. The workload is not consistent throughout the day. A solutions architect notices that the number of nodes does not automatically scale out when the existing nodes have reached maximum capacity in the cluster, which causes performance issues Which solution will resolve this issue with the LEAST administrative overhead?

Answer: B

Explanation:
The Kubernetes Cluster Autoscaler is a component that automatically adjusts the number of nodes in your cluster when pods fail or are rescheduled onto other nodes. It uses Auto Scaling groups to scale up or down the nodes according to the demand and capacity ofyour cluster1.
By using the Kubernetes Cluster Autoscaler in your Amazon EKS cluster, you can achieve the following benefits:
You can improve the performance and availability of your container applications by ensuring that there are enough nodes to run your pods and that there are no idle nodes wasting resources.
You can reduce the administrative overhead of managing your cluster size manually or using custom scripts.
The Cluster Autoscaler handles the scaling decisions and actions for you based on the metrics and events from your cluster.
You can leverage the integration of Amazon EKS and AWS Auto Scaling to optimize the cost and efficiency of your cluster. You can use features such as launchtemplates, mixed instances policies, and spot instances to customize your node configuration and save up to 90% on compute costs2


NEW QUESTION # 64
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