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| Section | Weight | Objectives |
|---|---|---|
| Continuous Improvement for Existing Solutions | 25% | - Implement monitoring, logging, and observability - Refactor and modernize legacy applications - Apply security best practices and compliance updates - Optimize existing workloads for cost, performance, and security |
| Design Solutions for Organizational Complexity | 26% | - Design hybrid and multi-cloud networking - Design multi-account and multi-region architectures - Design for operational excellence and automation - Design for compliance and governance requirements |
| Design for New Solutions | 29% | - Design cost-optimized architectures - Design high-performing and scalable solutions - Design for reliability and fault tolerance - Design secure and resilient architectures |
| Accelerate Workload Migration and Modernization | 20% | - Develop migration strategies and plans - Migrate applications, data, and infrastructure - Integrate AWS services with existing systems - Modernize applications and data platforms |
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NEW QUESTION # 269
An online gaming company needs to optimize the cost of its workloads on AWS. The company uses a dedicated account to host the production environment for its online gaming application and an analytics application.
Amazon EC2 instances host the gaming application and must always be vailable. The EC2 instances run all year. The analytics application uses data that is stored in Amazon S3. The analytics application can be interrupted and resumed without issue.
Which solution will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
Explanation
The correct answer is B.
B: This solution is the most cost-effective because it uses an EC2 Instance Savings Plan for the online gaming application instances, which provides the lowest prices and savings up to 72% compared to On-Demand prices. The EC2 Instance Savings Plan applies to any instance size within the same family and region, regardless of availability zone, operating system, or tenancy. The online gaming application instances run all year and must always be available, so they are not suitable for Spot Instances, which can be interrupted with a two-minute notice. This solution also uses Spot Instances for the analytics application, which can reduce the cost by up to 90% compared to On-Demand prices. The analytics application can be interrupted and resumed without issue, so it is a good fit for Spot Instances, which use spare EC2 capacity. This solution does not require AWS Service Catalog, which is a service that helps to create and manage catalogs of IT services that are approved for use on AWS, but does not provide any discounts123 A: This solution is incorrect because it uses On-Demand Instances for the analytics application, which are more expensive than Spot Instances. The analytics application can be interrupted and resumed without issue, so it can benefit from the lower cost of Spot Instances, which use spare EC2 capacity.
C: This solution is incorrect because it uses Spot Instances for the online gaming application, which can be interrupted with a two-minute notice. The online gaming application instances must always be available, so they are not suitable for Spot Instances, which use spare EC2 capacity. This solution also uses AWS Service Catalog, which is a service that helps to create and manage catalogs of IT services that are approved for use on AWS, but does not provide any discounts.
D: This solution is incorrect because it uses On-Demand Instances for the online gaming application, which are more expensive than an EC2 Instance Savings Plan. The online gaming application instances run all year and must always be available, so they are suitable for an EC2 Instance Savings Plan, which provides the lowest prices and savings up to 72% compared to On-Demand prices. This solution also uses AWS Service Catalog, which is a service that helps to create and manage catalogs of IT services that are approved for use on AWS, but does not provide any discounts.
References:
1: EC2 Instance Savings Plans - Amazon Web Services 2: Amazon EC2 Spot Instances 3: Cloud Management and Governance - AWS Service Catalog - Amazon Web Services
NEW QUESTION # 270
An events company runs a ticketing platform on AWS. The company's customers configure and schedule their events on the platform The events result in large increases of traffic to the platform The company knows the date and time of each customer's events The company runs the platform on an Amazon Elastic Container Service (Amazon ECS) cluster The ECS cluster consists of Amazon EC2 On-Demand Instances that are in an Auto Scaling group. The Auto Scaling group uses a predictive scaling policy The ECS cluster makes frequent requests to an Amazon S3 bucket to download ticket assets The ECS cluster and the S3 bucket are in the same AWS Region and the same AWS account Traffic between the ECS cluster and the S3 bucket flows across a NAT gateway The company needs to optimize the cost of the platform without decreasing the platform's availability Which combination of steps will meet these requirements? (Select TWO)
Answer: A,B
Explanation:
* Gateway VPC Endpoint for S3:
* Create a gateway VPC endpoint for Amazon S3 in your VPC. This allows instances in your VPC to communicate with Amazon S3 without going through the internet, reducing data transfer costs and improving security.
* Add Spot Instances to ECS Cluster:
* Add another ECS capacity provider that uses an Auto Scaling group of Spot Instances. Configure this new capacity provider to share the load with the existing On-Demand Instances by setting an appropriate weight in the capacity provider strategy. Spot Instances offer significant cost savings compared to On-Demand Instances.
* Configure Capacity Provider Strategy:
* Adjust the ECS service's capacity provider strategy to utilize both On-Demand and Spot Instances effectively. This ensures a balanced distribution of tasks across both instance types, optimizing cost while maintaining availability.
By implementing a gateway VPC endpoint for S3 and incorporating Spot Instances into the ECS cluster, the company can significantly reduce operational costs without compromising on the availability or performance of the platform.
References
* AWS Cost Optimization Blog on VPC Endpoints
* AWS ECS Documentation on Capacity Providers
NEW QUESTION # 271
A company is deploying a new API to AWS. The API uses Amazon API Gateway with a Regional API endpoint and an AWS Lambda function for hosting. The API retrieves data from an external vendor API, stores data in an Amazon DynamoDB global table, and retrieves data from the DynamoDB global table. The API key for the vendor's API is stored in AWS Secrets Manager and is encrypted with a customer managed key in AWS Key Management Service (AWS KMS). The company has deployed its own API into a single AWS Region.
A solutions architect needs to change the API components of the company's API to ensure that the components can run across multiple Regions in an active-active configuration.
Which combination of changes will meet this requirement with the LEAST operational overhead? (Choose three.)
Answer: A,D,F
Explanation:
The combination of changes that will meet the requirement with the least operational overhead are:
A). Deploy the API to multiple Regions. Configure Amazon Route 53 with custom domain names that route traffic to each Regional API endpoint. Implement a Route 53 multivalue answer routing policy.
B). Create a new KMS multi-Region customer managed key. Create a new KMS customer managed replica key in each in-scope Region.
C). Replicate the existing Secrets Manager secret to other Regions. For each in-scope Region's replicated secret, select the appropriate KMS key.
These changes will enable the company to have an active-active configuration for its API across multiple Regions, while minimizing the complexity and cost of managing the secrets and keys.
A). This change will allow the company to use Route 53 to distribute traffic across multiple Regional API endpoints, based on the availability and latency of each endpoint. This will improve the performance and availability of the API for global customers12
B). This change will allow the company to use KMS multi-Region keys, which are KMS keys in different Regions that can be used interchangeably. This will simplify the encryption and decryption of secrets across Regions, as the same key material and key ID can be used in any Region34
C). This change will allow the company to use Secrets Manager replication, which replicates the encrypted secret data and metadata across the specified Regions. This will ensure that the secrets are consistent and accessible in any Region, and that any update made to the primary secret will be propagated to the replica secrets automatically56 References:
1: Creating a regional API endpoint - Amazon API Gateway 2: Multivalue answer routing policy - Amazon Route 53 3: Multi-Region keys in AWS KMS - AWS Key Management Service 4: Creating multi-Region keys
- AWS Key Management Service 5: Replicate an AWS Secrets Manager secret to other AWS Regions 6: How to replicate secrets in AWS Secrets Manager to multiple Regions | AWS Security Blog
NEW QUESTION # 272
A company has a solution that analyzes weather data from thousands of weather stations. The weather stations send the data over an Amazon API Gateway REST API that has an AWS Lambda function integration. The Lambda function calls a third-party service for data pre-processing. The third-party service gets overloadedand fails the pre-processing, causing a loss of data.
A solutions architect must improve the resiliency of the solution. The solutions architect must ensure that no data is lost and that data can be processed later if failures occur.
What should the solutions architect do to meet these requirements?
Answer: A
Explanation:
This option allows the solution to decouple the API from the Lambda function and use EventBridge as an event-driven service that can handle failures gracefully1. By using two event buses, one for normal events and one for failed events, the solution can ensure that no data is lost and that data can be processed later if failures occur2. The primary event bus receives the data from the weather stations through the API integration and triggers the Lambda function through a rule. The Lambda function can then call the third-party service for data pre-processing. If the third-party service fails, the Lambda function can send an error response to EventBridge, which will route it to the secondary event bus as a failure destination3. The secondary event bus can then store the failed events in another service, such as Amazon S3 or Amazon SQS, for troubleshooting or reprocessing.
Using Amazon EventBridge with AWS Lambda
Using multiple event buses
Using failure destinations
[Using dead-letter queues]
NEW QUESTION # 273
A company is planning to migrate an Amazon RDS for Oracle database to an RDS for PostgreSQL DB instance in another AWS account A solutions architect needs to design a migration strategy that will require no downtime and that will minimize the amount of time necessary to complete the migration The migration strategy must replicate all existing data and any new data that is created during the migration The target database must be identical to the source database at completion of the migration process All applications currently use an Amazon Route 53 CNAME record as their endpoint for communication with the RDS for Oracle DB instance The RDS for Oracle DB instance is in a private subnet Which combination of steps should the solutions architect take to meet these requirements? (Select THREE )
Answer: A,C,E
Explanation:
Explanation
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Task.CDC.html
NEW QUESTION # 274
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