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| Section | Weight | Objectives |
|---|---|---|
| Design for New Solutions | 29% | - Design secure and resilient architectures - Design cost-optimized architectures - Design high-performing and scalable solutions - Design for reliability and fault tolerance |
| Design Solutions for Organizational Complexity | 26% | - Design hybrid and multi-cloud networking - Design for operational excellence and automation - Design for compliance and governance requirements - Design multi-account and multi-region architectures |
| 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 |
| Accelerate Workload Migration and Modernization | 20% | - Develop migration strategies and plans - Modernize applications and data platforms - Migrate applications, data, and infrastructure - Integrate AWS services with existing systems |
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NEW QUESTION # 854
A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.
The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.
How should the company deploy the ML model to meet these requirements?
Answer: C
Explanation:
Explanation
The company should use AWS IoT Greengrass to deploy the ML model to the local server and provide local feedback to the factory workers. AWS IoT Greengrass is a service that extends AWS cloud capabilities to local devices, allowing them to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks1. AWS IoT Greengrass also supports ML inference at the edge, enabling devices to run ML models locally without requiring internet connectivity2.
The other options are not correct because:
Setting up an Amazon Kinesis video stream from each IP camera to AWS would not work if the factory's internet connectivity is down. It would also incur unnecessary costs and latency to stream video data to the cloud and back.
Ordering an AWS Snowball device would not be a scalable or cost-effective solution for deploying the ML model. AWS Snowball is a service that provides physical devices for data transfer and edge computing, but it is not designed for continuous operation or frequent updates3.
Deploying Amazon Monitron devices on each IP camera would not work because Amazon Monitron is a service that monitors the condition and performance of industrial equipment using sensors and machine learning, not cameras References:
https://aws.amazon.com/greengrass/
https://docs.aws.amazon.com/greengrass/v2/developerguide/use-machine-learning-inference.html
https://aws.amazon.com/snowball/
https://aws.amazon.com/monitron/
NEW QUESTION # 855
A company with several AWS accounts is using AWS Organizations and service control policies (SCPs). An Administrator created the following SCP and has attached it to an organizational unit (OU) that contains AWS account 1111-1111-1111:
Developers working in account 1111-1111-1111 complain that they cannot create Amazon S3 buckets. How should the Administrator address this problem?
Answer: A
Explanation:
Explanation
However A's explanation is incorrect -
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html
"SCPs are similar to AWS Identity and Access Management (IAM) permission policies and use almost the same syntax. However, an SCP never grants permissions." SCPs alone are not sufficient to granting permissions to the accounts in your organization. No permissions are granted by an SCP. An SCP defines a guardrail, or sets limits, on the actions that the account's administrator can delegate to the IAM users and roles in the affected accounts. The administrator must still attach identity-based or resource-based policies to IAM users or roles, or to the resources in your accounts to actually grant permissions. The effective permissions are the logical intersection between what is allowed by the SCP and what is allowed by the IAM and resource-based policies.
NEW QUESTION # 856
A company is creating a centralized logging service running on Amazon EC2 that will receive and analyze logs from hundreds of AWS accounts. AWS PrivateLink is being used to provide connectivity between the client services and the logging service.
In each AWS account with a client, an interface endpoint has been created for the logging service and is available. The logging service running on EC2 instances with a Network Load Balancer (NLB) are deployed in different subnets. The clients are unable to submit logs using the VPC endpoint.
Which combination of steps should a solutions architect take to resolve this issue? (Select TWO.)
Answer: B,E
NEW QUESTION # 857
A company needs to store and process image data that will be uploaded from mobile devices using a custom mobile app. Usage peaks between 8 AM and 5 PM on weekdays, with thousands of uploads per minute. The app is rarely used at any other time A user is notified when image processing is complete.
Which combination of actions should a solutions architect take to ensure image processing can scale to handle the load1? (Select THREE.)
Answer: B,C,F
NEW QUESTION # 858
A company has a legacy application that runs on multiple .NET Framework components. The components share the same Microsoft SQL Server database and communicate with each other asynchronously by using Microsoft Message Queueing (MSMQ).
The company is starting a migration to containerized .NET Core components and wants to refactor the application to run on AWS. The .NET Core components require complex orchestration. The company must have full control over networking and host configuration. The application's database model is strongly relational.
Which solution will meet these requirements?
Answer: C
Explanation:
Hosting the .NET Core components on Amazon ECS with the Amazon EC2 launch type will meet the requirements of having complex orchestration and full control over networking and host configuration.
Amazon ECS is a fully managed container orchestration service that supports both AWS Fargate and Amazon EC2 as launch types. The Amazon EC2 launch type allows users to choose their own EC2 instances, configure their own networking settings, and access their own host operating systems. Hosting the database on Amazon Aurora MySQL Serverless v2 will meet the requirements of having a strongly relational database model and using the same database engine as SQL Server. MySQL is a compatible relational database engine with SQL Server, and it can support most of the legacy application's database model. Amazon Aurora MySQL Serverless v2 is a serverless version of Amazon Aurora MySQL that can scale up and down automatically based on demand. Using Amazon SQS for asynchronous messaging will meet the requirements of providing a compatible replacement for MSMQ, which is a queue-based messaging system3. Amazon SQS is a fully managed message queuing service that enables decoupled and scalable microservices, distributed systems, and serverless applications.
NEW QUESTION # 859
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