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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q64-Q69):

NEW QUESTION # 64
A company is deploying an application that processes streaming data in near-real time The company plans to use Amazon EC2 instances for the workload The network architecture must be configurable to provide the lowest possible latency between nodes Which combination of network solutions will meet these requirements? (Select TWO)

Answer: B,D

Explanation:
These options are the most suitable ways to configure the network architecture to provide the lowest possible latency between nodes. Option A enables and configures enhanced networking on each EC2 instance, which is a feature that improves the network performance of the instance by providing higher bandwidth, lower latency, and lower jitter. Enhanced networking uses single root I/O virtualization (SR-IOV) or Elastic Fabric Adapter (EFA) to provide direct access to the network hardware. You can enable and configure enhanced networking by choosing a supported instance type and a compatible operating system, and installing the required drivers.
Option C runs the EC2 instances in a cluster placement group, which is a logical grouping of instances within a single Availability Zone that are placed close together on the same underlying hardware. Cluster placement groups provide the lowest network latency and the highest network throughput among the placement group options. You can run the EC2 instances in a cluster placement group by creating a placement group and launching the instances into it.
Option B is not suitable because grouping the EC2 instances in separate accounts does not provide the lowest possible latency between nodes. Separate accounts are used to isolate and organize resources for different purposes, such as security, billing, or compliance. However, they do not affect the network performance or proximity of the instances. Moreover, grouping the EC2 instances in separate accounts would incur additional costs and complexity, and it would require setting up cross-account networking and permissions.
Option D is not suitable because attaching multiple elastic network interfaces to each EC2 instance does not provide the lowest possible latency between nodes. Elastic network interfaces are virtual network interfaces that can be attached to EC2 instances to provide additional network capabilities, such as multiple IP addresses, multiple subnets, or enhanced security. However, they do not affect the network performance or proximity of the instances. Moreover, attaching multiple elastic network interfaces to each EC2 instance would consume additional resources and limit the instance type choices.
Option E is not suitable because using Amazon EBS optimized instance types does not provide the lowest possible latency between nodes. Amazon EBS optimized instance types are instances that provide dedicated bandwidth for Amazon EBS volumes, which are block storage volumes that can be attached to EC2 instances.
EBS optimized instance types improve the performance and consistency of the EBS volumes, but they do not affect the network performance or proximity of the instances. Moreover, using EBS optimized instance types would incur additional costs and may not be necessary for the streaming data workload. References:
Enhanced networking on Linux
Placement groups
Elastic network interfaces
Amazon EBS-optimized instances


NEW QUESTION # 65
A solution architect is designing a hybrid application using the AWS cloud. The network between the on-premises data center and AWS will use an AWS Direct Connect (DX) connection. The application connectivity between AWS and the on-premises data center must be highly resilient.
Which DX configuration should be implemented to meet these requirements?

Answer: C


NEW QUESTION # 66
A company runs an on-premises application that is powered by a MySQL database The company is migrating the application to AWS to Increase the application's elasticity and availability The current architecture shows heavy read activity on the database during times of normal operation Every 4 hours the company's development team pulls a full export of the production database to populate a database in the staging environment During this period, users experience unacceptable application latency The development team is unable to use the staging environment until the procedure completes A solutions architect must recommend replacement architecture that alleviates the application latency issue The replacement architecture also must give the development team the ability to continue using the staging environment without delay Which solution meets these requirements?

Answer: A

Explanation:
Explanation
https://aws.amazon.com/blogs/aws/amazon-aurora-fast-database-cloning/


NEW QUESTION # 67
With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. The cluster is managed using an open-source framework called Hadoop. You have set up an application to run Hadoop jobs. The application reads data from DynamoDB and generates a temporary file of 100 TBs.
The whole process runs for 30 minutes and the output of the job is stored to S3.
Which of the below mentioned options is the most cost effective solution in this case?

Answer: D

Explanation:
AWS EC2 Spot Instances allow the user to quote his own price for the EC2 computing capacity. The user can simply bid on the spare Amazon EC2 instances and run them whenever his bid exceeds the current Spot Price.
The Spot Instance pricing model complements the On-Demand and Reserved Instance pricing models, providing potentially the most cost-effective option for obtaining compute capacity, depending on the application. The only challenge with a Spot Instance is data persistence as the instance can be terminated whenever the spot price exceeds the bid price. In the current scenario a Hadoop job is a temporary job and does not run for a longer period. It fetches data from a persistent DynamoDB. Thus, even if the instance gets terminated there will be no data loss and the job can be re-run. As the output files are large temporary files, it will be useful to store data on ethereal storage for cost savings.
http://aws.amazon.com/ec2/purchasing-options/spot-instances/


NEW QUESTION # 68
What are the two permission types used by AWS?

Answer: C


NEW QUESTION # 69
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