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| Section | Weight | Objectives |
|---|
| Topic 1: Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
- 1. Amazon SQS and SNS
- 2. Elastic Load Balancing
- 3. Amazon API Gateway
- 4. Amazon EventBridge
- 5. Auto Scaling groups
- Design highly available and/or fault-tolerant architectures
- 1. Amazon Route 53 routing policies
- 2. AWS Global Accelerator
- 3. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- 4. Multi-AZ deployments
- 5. Multi-Region architectures
|
| Topic 2: Design High-Performing Architectures | 24% | - Determine high-performing and/or scalable storage solutions
- 1. Amazon S3 storage classes and lifecycle policies
- 2. Amazon EBS volume types
- 3. Amazon EFS
- 4. Amazon FSx
- 5. Instance Store
- Design high-performing and elastic compute solutions
- 1. Amazon ECS and EKS
- 2. Amazon EC2 instance types and families
- 3. AWS Elastic Beanstalk
- 4. AWS Lambda
- Determine high-performing data ingestion and transformation solutions
- 1. AWS Data Pipeline
- 2. AWS Glue
- 3. Amazon Kinesis
- 4. Amazon MSK
- Determine high-performing and/or scalable network architectures
- 1. AWS Global Accelerator
- 2. VPC endpoints
- 3. Amazon CloudFront
- 4. AWS Direct Connect
- 5. Amazon Route 53
- Determine high-performing database solutions
- 1. Amazon DynamoDB
- 2. Amazon ElastiCache (Redis/Memcached)
- 3. Amazon Redshift
- 4. Amazon RDS and Aurora
|
| Topic 3: Design Cost-Optimized Architectures | 20% | - Design cost-optimized network architectures
- 1. CloudFront to reduce origin load
- 2. Data transfer costs
- 3. AWS Direct Connect for cost optimization
- 4. VPC endpoints to reduce NAT costs
- Design cost-optimized storage solutions
- 1. S3 storage classes and lifecycle policies
- 2. EBS volume type selection
- 3. EFS cost optimization
- 4. S3 Intelligent-Tiering
- Design cost-optimized database solutions
- 1. DynamoDB capacity modes (On-demand vs Provisioned)
- 2. Aurora Serverless
- 3. RDS Reserved Instances
- 4. ElastiCache for caching
- Design cost-optimized compute solutions
- 1. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- 2. Right-sizing instances
- 3. AWS Lambda pricing model
- 4. Auto Scaling for cost optimization
|
| Topic 4: Design Secure Architectures | 30% | - Design secure workloads and applications
- 1. AWS WAF and Shield
- 2. Security groups and NACLs
- 3. Encryption at rest and in transit
- 4. AWS KMS and CloudHSM
- Design secure access to AWS resources
- 1. IAM policies and roles
- 2. Identity federation
- 3. Multi-factor authentication (MFA)
- 4. AWS Organizations and SCPs
- Determine appropriate data security controls
- 1. Data encryption strategies
- 2. Data classification
- 3. Data backup and recovery
- 4. Amazon Macie and GuardDuty
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q305-Q310):
NEW QUESTION # 305
A company is planning to migrate multiple workloads to Amazon EC2 instances and needs to determine an appropriate AWS account structure. The workloads must be isolated from one another and belong to separate business units. The company needs to be able to perform chargeback to the business units by using a consolidated monthly view.
Which solution will meet these requirements with the LEAST administrative overhead?
- A. Create a separate organization in AWS Organizations for each business unit. Use the bill in each organization management account to perform chargeback.
- B. Create a single organization in AWS Organizations. Create a member account for each business unit.
Use the bill from the organization management account to perform chargeback. - C. Create a separate standalone AWS account for each business unit. Create a script to call AWS Cost Explorer APIs from each account to perform chargeback.
- D. Create a single AWS account for all the business units. Assign tags to the EC2 instances that correspond with the business units. Activate the tags for cost allocation to perform chargeback by using AWS Cost Explorer.
Answer: B
Explanation:
AWS Organizations is the best fit because it providesaccount-level isolationandconsolidated billingacross member accounts. AWS documentation states that the management account receives a single bill that combines usage from all member accounts, which directly supports a consolidated monthly chargeback view.
Creating a member account per business unit also satisfies the isolation requirement better than sharing one account with tags. Separate organizations per unit would add unnecessary overhead and remove the simplicity of a single consolidated management structure. Therefore, a single AWS Organization with one member account per business unit is the cleanest and lowest-overhead design. (docs.aws.amazon.com)
NEW QUESTION # 306
[Design Cost-Optimized Architectures]
A company uses Amazon S3 to store high-resolution pictures in an S3 bucket. To minimize application changes, the company stores the pictures as the latest version of an S3 object The company needs to retain only the two most recent versions ot the pictures.
The company wants to reduce costs. The company has identified the S3 bucket as a large expense.
Which solution will reduce the S3 costs with the LEAST operational overhead?
- A. Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions
- B. Use an AWS Lambda function to check for older versions and delete all but the two most recent versions
- C. Deactivate versioning on the S3 bucket and retain the two most recent versions.
- D. Use S3 Lifecycle to delete expired object versions and retain the two most recent versions.
Answer: D
Explanation:
S3 Lifecycle is a feature that allows you to automate the management of your S3 objects based on predefined rules. You can use S3 Lifecycle to delete expired object versions and retain the two most recent versions by creating a lifecycle configuration rule that applies to all objects in the bucket and specifies the expiration action for noncurrent versions. This way, you can reduce the storage costs of your S3 bucket without requiring any application changes or manual intervention. S3 Lifecycle runs once a day and marks the eligible object versions for deletion. You are no longer charged for the objects that are marked for deletion. S3 Lifecycle is the most cost-effective and simple solution among the options.
B . Use an AWS Lambda function to check for older versions and delete all but the two most recent versions. This option is not optimal because it requires you to write, test, and maintain a custom Lambda function that scans the S3 bucket for older versions and deletes them. This can incur additional costs for Lambda invocations and increase the operational complexity and overhead. Moreover, you need to ensure that your Lambda function has the appropriate permissions and error handling mechanisms to perform the deletion operation.
C . Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions. This option is not ideal because S3 Batch Operations is designed for performing large-scale operations on S3 objects, such as copying, tagging, restoring, or invoking a Lambda function. To use S3 Batch Operations to delete noncurrent object versions, you need to provide a manifest file that lists the object versions that you want to delete. This can be challenging and time-consuming to generate and update. Moreover, S3 Batch Operations charges you for each operation that you perform, which can increase your costs.
D . Deactivate versioning on the S3 bucket and retain the two most recent versions. This option is not feasible because deactivating versioning on an S3 bucket does not delete the existing object versions. Instead, it prevents new versions from being created. Therefore, you still need to delete the older versions manually or use another method to do so. Additionally, deactivating versioning can compromise the data protection and recovery capabilities of your S3 bucket.
Reference:
1 Considering four different replication options for data in Amazon S3 | AWS Storage Blog
2 Using AWS Lambda with Amazon S3 batch operations - AWS Lambda
3 Empty an Amazon S3 bucket with a lifecycle configuration rule
4 Amazon S3 - Lifecycle Management - GeeksforGeeks
NEW QUESTION # 307
An online retail company has more than 50 million active customers and receives more than 25,000 orders each day. The company collects purchase data for customers and stores this data in Amazon S3. Additional customer data is stored in Amazon RDS.
The company wants to make all the data available to various teams so that the teams can perform analytics.
The solution must provide the ability to manage fine-grained permissions for the data and must minimize operational overhead.
Which solution will meet these requirements?
- A. Create a data lake by using AWS Lake Formation. Create an AWS Glue JDBC connection to Amazon RDS. Register (he S3 bucket in Lake Formation. Use Lake Formation access controls to limit access.
- B. Schedule an AWS Lambda function to periodically copy data from Amazon RDS to Amazon S3. Create an AWS Glue crawler. Use Amazon Athena to query the data. Use S3 policies to limit access.
- C. Migrate the purchase data to write directly to Amazon RDS. Use RDS access controls to limit access.
- D. Create an Amazon Redshift cluster. Schedule an AWS Lambda function to periodically copy data from Amazon S3 and Amazon RDS to Amazon Redshift. Use Amazon Redshift access controls to limit access.
Answer: D
NEW QUESTION # 308
A company is designing a new Amazon Elastic Kubernetes Service (Amazon EKS) deployment to host multi-tenant applications that use a single cluster. The company wants to ensure that each pod has its own hosted environment. The environments must not share CPU, memory, storage, or elastic network interfaces.
Which solution will meet these requirements?
- A. Use Amazon EKS and managed node groups. Use taints and tolerations to enforce isolation boundaries.
- B. Use Amazon EC2 instances to host self-managed Kubernetes clusters. Use taints and tolerations to enforce isolation boundaries.
- C. Use Amazon EKS with AWS Fargate. Use Fargate to manage resources and to enforce isolation boundaries.
- D. Use Amazon EKS and self-managed node groups. Use taints and tolerations to enforce isolation boundaries.
Answer: C
Explanation:
AWS Fargate provides per-pod isolation for CPU, memory, storage, and networking, making it ideal for multi-tenant use cases.
AWS Documentation Reference:
EKS with Fargate
NEW QUESTION # 309
A company wants to migrate its on-premises application to AWS. The application produces output files that vary in size from tens of gigabytes to hundreds of terabytes The application data must be stored in a standard file system structure The company wants a solution that scales automatically, is highly available, and requires minimum operational overhead.
Which solution will meet these requirements?
- A. Migrate the application to Amazon EC2 instances in a Multi-AZ Auto Scaling group. Use Amazon Elastic File System (Amazon EFS) for storage.
- B. Migrate the application to Amazon EC2 instances in a Multi-AZ Auto Scaling group. Use Amazon Elastic Block Store (Amazon EBS) for storage.
- C. Migrate the application to run as containers on Amazon Elastic Kubernetes Service (Amazon EKS) Use Amazon Elastic Block Store (Amazon EBS) for storage
- D. Migrate the application to run as containers on Amazon Elastic Container Service (Amazon ECS) Use Amazon S3 for storage
Answer: A
Explanation:
EFS is a standard file system, it scales automatically and is highly available.
NEW QUESTION # 310
......
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