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| Section | Weight | Objectives |
|---|---|---|
| Continuous improvement for existing solutions | 25% | |
| Accelerate workload migration and modernization | 20% | |
| Design for new solutions | 29% | |
| Design solutions for organizational complexity | 26% |
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NEW QUESTION # 565
A company has a latency-sensitive trading platform that uses Amazon DynamoDB as a storage backend. The company configured the DynamoDB table to use on-demand capacity mode. A solutions architect needs to design a solution to improve the performance of the trading platform. The new solution must ensure high availability for the trading platform.
Which solution will meet these requirements with the LEAST latency?
Answer: D
Explanation:
Creating a two-node DynamoDB Accelerator (DAX) cluster and configuring the application to read and write data by using DAX would meet the requirements with the least latency.
DAX is a fully managed, in-memory cache service for DynamoDB that delivers fast performance and low latency for read-heavy workloads. By creating a two-node DAX cluster and configuring the application to read and write data by using DAX, it can help to improve the performance of the trading platform by reducing the time it takes to retrieve and write data to DynamoDB.
By using the DAX cluster, it caches frequently accessed data in-memory, reducing the number of read and write requests to the DynamoDB table and this can lead to a significant reduction in the overall read and write latency.
It's important to note that since the trading platform requires high availability, it's highly recommended to have multiple nodes in the DAX cluster.
Reference:
AWS DynamoDB Accelerator (DAX) documentation: https://aws.amazon.com/dax/ Improving the Performance of a DynamoDB Table documentation: https://aws.amazon.com/dynamodb/performance/
NEW QUESTION # 566
A company that is developing a mobile game is making game assets available in two AWS Regions. Game assets ate served from a set of Amazon EC2 instances behind an Application Load Balancer (ALB) in each Region. The company requires game assets to be (etched from the closest Region. If game assets become unavailable in the closest Region, they should be fetched from the other Region.
What should a solutions architect do to meet these requirements?
Answer: A
Explanation:
Failover routing policy ?Use when you want to configure active-passive failover. Latency routing policy ?Use when you have resources in multiple AWS Regions and you want to route traffic to the region that provides the best latency.
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html
NEW QUESTION # 567
A company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements:
* Provide near-real-time analytics of the inbound genomic data
* Ensure the data is flexible, parallel, and durable
* Deliver results of processing to a data warehouse
Which strategy should a solutions architect use to meet these requirements?
Answer: D
Explanation:
Explanation
Kinesis Data Streams is a real-time streaming service and provide near-real-time analytics. Also the question
"Deliver results of processing to a data warehouse" and this option has redshift cluster which is a powerful data warehousing solution that can handle large-scale analytics workloads.
NEW QUESTION # 568
A company uses Microsoft Active Directory for user management and Microsoft Entra ID as an identity provider (IdP). The company uses an organization in AWS Organizations to manage multiple AWS accounts.
The company establishes an AWS IAM Identity Center instance that is integrated with the IdP and creates the required user groups.
Multiple company departments and applications use Amazon S3. The company uses S3 bucket policies to manage permissions. As a result of the granular permissions the company creates, the policies grow so large that they reach the quota for S3 bucket policy length. The company needs to simplify the process of managing granular S3 bucket permissions for company identities.
Which solution will meet this requirement with the LEAST operational overhead?
Answer: B
Explanation:
The company has many S3 buckets and many identities across multiple AWS accounts. It currently uses S3 bucket policies for granular authorization. As requirements grow, the bucket policies have become very large and have hit the maximum size limits. The company needs a way to express granular, identity-based access to S3 resources without relying on increasingly complex bucket policies.
AWS provides S3 Access Grants to centrally manage S3 data access based on identities. S3 Access Grants integrate with IAM Identity Center and external identity providers such as Microsoft Entra ID (formerly Azure AD). With S3 Access Grants, you define grants that associate specific identities or groups (from IAM Identity Center) with permissions on specific S3 buckets, prefixes, or objects. Access Grants maintain a mapping between identities and S3 resources without requiring large, per-bucket policies.
Option A describes exactly this approach. You create an S3 Access Grant configuration associated with the IAM Identity Center instance that is already integrated with the company's IdP. You then define S3 Access Grants for the various user groups according to business requirements, specifying the appropriate S3 buckets and prefixes. When users access S3 through AWS tools that support S3 Access Grants, temporary credentials are issued that reflect the grants. This centralizes authorization management, reduces the size and complexity of S3 bucket policies, and minimizes operational overhead because you manage permissions per identity group rather than constantly editing long bucket policies.
Option B uses S3 access points and Object Lambda Access Points with a Lambda function for data filtering.
This is more suitable for content transformation or redaction rather than primary authorization management. It adds operational complexity by requiring custom Lambda code and Object Lambda configuration, and it does not directly solve the problem of large bucket policies for fine-grained permissions.
Option C uses per-bucket S3 access points with attached policies. While access points can simplify some aspects of access control and allow per-application policies, using many access points with detailed policies can still lead to significant policy complexity. It also does not take advantage of the existing IAM Identity Center integration and does not centrally align permissions with identity groups.
Option D uses AWS Organizations service control policies (SCPs). SCPs are intended to define high-level guardrails and maximum permissions at the account or organizational unit level, not detailed, per-bucket or per-prefix access control for individual users or groups. Using SCPs to express granular S3 bucket permissions would be complex, hard to maintain, and not aligned with the purpose of SCPs.
Therefore, using S3 Access Grants integrated with IAM Identity Center (option A) provides a centralized, identity-aware, low-overhead way to manage granular S3 access without hitting S3 bucket policy size limits.
References:AWS documentation on S3 Access Grants for identity-based, fine-grained access control to S3 resources integrated with IAM Identity Center.AWS best practices for separating high-level guardrails (SCPs) from resource-level permissions and using identity-aware S3 controls instead of overly large bucket policies.
NEW QUESTION # 569
A software company has deployed an application that consumes a REST API by using Amazon API Gateway. AWS Lambda functions, and an Amazon DynamoDB table. The application is showing an increase in the number of errors during PUT requests. Most of the PUT calls come from a small number of clients that are authenticated with specific API keys.
A solutions architect has identified that a large number of the PUT requests originate from one client. The API is noncritical, and clients can tolerate retries of unsuccessful calls. However, the errors are displayed to customers and are causing damage to the API's reputation.
What should the solutions architect recommend to improve the customer experience?
Answer: A
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/aws-batch-requests-error/
https://aws.amazon.com/premiumsupport/knowledge-center/api-gateway-429-limit/
NEW QUESTION # 570
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