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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Solutions for Organizational Complexity | 26% | - Design multi-account and multi-region architectures - Design hybrid and multi-cloud networking - Design for operational excellence and automation - Design for compliance and governance requirements |
| Topic 2: Design for New Solutions | 29% | - Design cost-optimized architectures - Design secure and resilient architectures - Design high-performing and scalable solutions - Design for reliability and fault tolerance |
| Topic 3: Accelerate Workload Migration and Modernization | 20% | - Modernize applications and data platforms - Develop migration strategies and plans - Migrate applications, data, and infrastructure - Integrate AWS services with existing systems |
| Topic 4: Continuous Improvement for Existing Solutions | 25% | - Refactor and modernize legacy applications - Optimize existing workloads for cost, performance, and security - Apply security best practices and compliance updates - Implement monitoring, logging, and observability |
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60. Frage
A company uses AWS Organizations AWS account. A solutions architect must design a solution in which only administrator roles are allowed to use IAM actions. However the solutions archited does not have access to all the AWS account throughout the company.
Which solution meets these requirements with the LEAST operational overhead?
Antwort: B
Begründung:
To restrict IAM actions to only administrator roles across all AWS accounts in an organization, the most operationally efficient solution is to create a Service Control Policy (SCP) that allows IAM actions exclusively for administrator roles and apply this SCP to the root Organizational Unit (OU) of AWS Organizations. This method ensures a centralized governance mechanism that uniformly applies the policy across all accounts, therebyminimizing the need for individual account-level configurations and reducing operational complexity.
AWS Documentation on AWS Organizations and Service Control Policies offers comprehensive information on creating and managing SCPs for organizational-wide policy enforcement. This approach aligns with AWS best practices for managing permissions and ensuring secure and compliant account configurations within an AWS Organization.
61. Frage
A global company runs an analytics application on Amazon EC2 for computing. The company uses Amazon EBS as primary storage for raw and processed data. Users manually upload raw data daily to Amazon EC2 by using SSH from a local on-premises storage computer. The analytics application processes the data and a user manually uploads the data to Amazon S3 for long-term storage.
The company wants to containerize the processing logic and migrate the processing logic to Amazon EKS.
The company needs an automated solution to upload and move the processed data. The solution must have multiprotocol support and be usable from the EKS cluster.
Which solution meets these requirements with the LEAST operational effort?
Antwort: A
Begründung:
Comprehensive and Detailed Explanation From Exact Extract:
This explanation is based on AWS documentation and best practices but is paraphrased, not a literal extract.
The company wants to move from a manual EC2 and EBS-based workflow to a containerized application on Amazon EKS and automate data movement. The solution must:
* Support automated transfer of raw and processed data.
* Offer multiprotocol support.
* Be directly usable from the EKS cluster as a mounted volume.
* Minimize operational effort by using managed services where possible.
AWS DataSync is a managed service designed to move data between on-premises storage and AWS storage services or between AWS storage services. It can perform scheduled or continuous transfers with minimal operational overhead. For storage accessible from Amazon EKS, a shared file system that supports mounting as a volume is appropriate.
Amazon FSx for NetApp ONTAP provides a fully managed file system with multiprotocol support, including NFS and SMB, and supports features such as snapshots and storage efficiencies. Because it supports multiple protocols, it satisfies the requirement for multiprotocol access and can be mounted by applications running in Amazon EKS using standard Kubernetes persistent volume mechanisms.
In the correct solution (option C), DataSync is used to copy raw data from the on-premises environment to FSx for NetApp ONTAP. The FSx for NetApp ONTAP file system is then mounted as a volume in the EKS cluster, allowing the containerized analytics processing logic to read and write data directly. After processing, DataSync is again used to copy processed data from FSx for NetApp ONTAP to Amazon S3 for long-term storage. This leverages DataSync's native integration with both FSx for NetApp ONTAP and Amazon S3, and avoids the need to run or manage custom upload tooling.
Option A uses Amazon EFS, which supports NFS but does not provide multiprotocol support (for example, SMB), so it does not fully meet the multiprotocol requirement. It also introduces AWS Transfer for SFTP for the processed data upload, which adds an additional managed endpoint and SFTP-based flow, increasing complexity relative to using DataSync end-to-end.
Option B uses Amazon FSx for Lustre, which is optimized for high-performance compute workloads and integrates well with S3, but it is not a multiprotocol file system and is typically accessed via NFS. It does not meet the stated multiprotocol requirement.
Option D uses FSx for NetApp ONTAP (which supports multiprotocol) but relies on AWS Transfer for SFTP to move processed data to S3. While this can work, it adds another managed input endpoint and requires SFTP client configuration and management. Using DataSync directly from FSx for NetApp ONTAP to Amazon S3 (as in option C) is more straightforward, better suited for automated large-scale transfers, and involves less operational overhead.
Therefore, option C meets all the requirements with the least operational effort by using DataSync with FSx for NetApp ONTAP and S3.
References:AWS documentation on AWS DataSync for automated, scheduled data transfers between on- premises storage, FSx file systems, and Amazon S3.AWS documentation on Amazon FSx for NetApp ONTAP including its multiprotocol support (NFS and SMB) and integration with Kubernetes and Amazon EKS.
62. Frage
An application is deployed on Amazon EC2 instances that run in an Auto Scaling group. The Auto Scaling group configuration uses only one type of instance.
CPU and memory utilization metrics show that the instances are underutilized. A solutions architect needs to implement a solution to permanently reduce the EC2 cost and increase the utilization.
Which solution will meet these requirements with the LEAST number of configuration changes in the future?
Antwort: C
Begründung:
You change the instance type/size in the launch template not the ASG. ASG can change the min/max size, not instance type.
63. Frage
A company is running several workloads in a single AWS account. A new company policy states that engineers can provision only approved resources and that engineers must use AWS CloudFormation to provision these resources. A solutions architect needs to create a solution to enforce the new restriction on the IAM role that the engineers use for access.
What should the solutions architect do to create the solution?
Antwort: C
64. Frage
A company runs its sales reporting application in an AWS Region in the United States. The application uses an Amazon API Gateway Regional API and AWS Lambda functions to generate on-demand reports from data in an Amazon RDS for MySQL database. The frontend of the application is hosted on Amazon S3 and is accessed by users through an Amazon CloudFront distribution. The company is using Amazon Route 53 as the DNS service for the domain. Route 53 is configured with a simple routing policy to route traffic to the API Gateway API.
In the next 6 months, the company plans to expand operations to Europe. More than 90% of the database traffic is read-only traffic. The company has already deployed an API Gateway API and Lambda functions in the new Region.
A solutions architect must design a solution that minimizes latency for users who download reports.
Which solution will meet these requirements?
Antwort: C
Begründung:
The company should configure a cross-Region read replica for the RDS database in the new Region. The company should change the Route 53 record to latency-based routing to connect to the API Gateway API.
This solution will meet the requirements because a cross-Region read replica is a feature that enables you to create a MariaDB, MySQL, Oracle, PostgreSQL, or SQL Server read replica in a different Region from the source DB instance. You can use cross-Region read replicas to improve availability and disaster recovery, scale out globally, or migrate an existing database to a new Region1. By creating a cross-Region read replica for the RDS database in the new Region, the company can have a standby copy of its primary database that can serve read-only traffic from users in Europe. A latency-based routing policy is a feature that enables you to route traffic based on the latency between your users and your resources. You can use latency-based routing to route traffic to the resource that provides the best latency2. By changing the Route 53 record to latency-based routing, the company can minimize latency for users who download reports by connecting them to the API Gateway API in the Region that provides the best response time.
The other options are not correct because:
Using AWS Database Migration Service (AWS DMS) to replicate the primary database in the original Region to the database in the new Region would not be as cost-effective or simple as using a cross-Region read replica. AWS DMS is a service that enables you to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use AWS DMS to perform one-time migrations or continuous data replication with high availability and consolidate databases intoa petabyte-scale data warehouse3. However, AWS DMS requires more configuration and management than creating a cross-Region read replica, which is fully managed by Amazon RDS. AWS DMS also incurs additional charges for replication instances and tasks.
Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not help with disaster recovery or minimizing latency. The Data API is a feature that enables you to query your Amazon Redshift cluster using HTTP requests, without needing a persistent connection or a SQL client. It is useful forbuilding applications that interact with Amazon Redshift, but not for replicating or recovering data from an RDS database.
Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not help with disaster recovery or minimizing latency. AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use AWS Data Exchange to subscribe to a diverse selection of third-party data products or offer your own data products to other AWS customers. A datashare is a feature that enables you to share live and secure access to your Amazon Redshift data across your accounts or with third parties without copying or moving the underlying data. It is useful for sharing query results and views with other users, but not for replicating or recovering data from an RDS database.
References:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RDS_Fea_Regions_DB-eng.Feature.
CrossRegionReadReplicas.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html#routing-policy-latency
https://aws.amazon.com/dms/
https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html
https://aws.amazon.com/data-exchange/
https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html
65. Frage
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