QUESTION: 153

A global media company is planning a multi-Region deployment of an application. Amazon DynamoDB global tables will back the deployment to keep the user experience consistent across the two continents where users are concentrated. Each deployment will have a public Application Load Balancer (ALB). The company manages public DNS internally. The company wants to make the application available through an apex domain.

Which solution will meet these requirements with the LEAST effort?

Migrate public DNS to Amazon Route 53. Create CNAME records for the apex domain to point to the ALB. Use a geolocation routing policy to route traffic based on user location.
Place a Network Load Balancer (NLB) in front of the AL Migrate public DNS to Amazon Route 53. Create a CNAME record for the apex domain to point to the NLB’s static IP address. Use a geolocation routing policy to route traffic based on user location.
Create an AWS Global Accelerator accelerator with multiple endpoint groups that target endpoints in appropriate AWS Regions. Use the accelerator’s static IP address to create a record in public DNS for the apex domain.
Create an Amazon API Gateway API that is backed by AWS Lambda in one of the AWS Regions. Configure a Lambda function to route traffic to application deployments by using the round robin method. Create CNAME records for the apex domain to point to the API's URL.

Answer(s): C

Explanation:

The selected solution is:
C) Create an AWS Global Accelerator accelerator with multiple endpoint groups that target endpoints in appropriate AWS Regions. Use the accelerator’s static IP address to create a record in public DNS for the apex domain.
This approach efficiently meets the requirements by providing static IP addresses that can route traffic to the application in multiple Regions, ensuring low latency and high availability. Global Accelerator handles routing intelligently based on the user's location and the health of the endpoints, which simplifies the deployment and minimizes effort compared to managing DNS records for each Region. Additionally, it allows the use of an apex domain without needing a CNAME record, which is not permitted for apex domains in traditional DNS configurations.

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QUESTION: 154

A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.

A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.
Which solution will meet these requirements?

Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket. Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.
Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.

Answer(s): D

Explanation:

The selected solution is:

D) Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.

This approach optimizes for code reuse and simplifies the deployment by packaging both the application code and shared dependencies (libraries and classes) into a single Docker image. By using Amazon ECR to store the Docker image, the company can manage versioning and updates more efficiently. Lambda can directly use the Docker image, eliminating the need for separate deployment packages for the API's Lambda functions and enhancing the overall maintainability of the solution.

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QUESTION: 155

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?

Set up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2 instances to take still images of the streams. Upload the images to an Amazon S3 bucket. Deploy a SageMaker endpoint with the ML model. Invoke an AWS Lambda function to call the inference endpoint when new images are uploaded. Configure the Lambda function to call the local API when a defect is detected.
Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.
Order an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon EC2 instance on the Snowball device. Take still images from the cameras. Run inference from the EC2 instance. Configure the instance to call the local API when a defect is detected.
Deploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on premises. Deploy the ML model to the Amazon Monitron devices. Use Amazon Monitron health state alarms to call the local API from an AWS Lambda function when a defect is detected.

Answer(s): B

Explanation:

The selected solution is:
B) Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.
This approach allows the manufacturing company to run the ML model locally on the Greengrass server, enabling real-time processing of images captured by the IP cameras. Since the Greengrass environment operates locally, it can function even when the factory's internet connectivity is down. This setup ensures that factory workers receive immediate feedback regarding defects, thereby meeting the company's requirements for operational continuity and low-latency feedback.

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QUESTION: 156

A solutions architect must create a business case for migration of a company's on-premises data center to the AWS Cloud. The solutions architect will use a configuration management database (CMDB) export of all the company's servers to create the case.

Which solution will meet these requirements MOST cost-effectively?

Use AWS Well-Architected Tool to import the CMDB data to perform an analysis and generate recommendations.
Use Migration Evaluator to perform an analysis. Use the data import template to upload the data from the CMDB export.
Implement resource matching rules. Use the CMDB export and the AWS Price List Bulk API to query CMDB data against AWS services in bulk.
Use AWS Application Discovery Service to import the CMDB data to perform an analysis.

Answer(s): B

Explanation:

The selected solution is:
B) Use Migration Evaluator to perform an analysis. Use the data import template to upload the data from the CMDB export.
Reasoning:
-Cost-effectiveness: Migration Evaluator provides detailed insights into the current infrastructure and helps estimate costs for migrating to AWS. It utilizes the data from the CMDB to provide tailored recommendations and financial assessments, making it a cost-effective choice for creating a business case.
-Ease of use: The provided data import template simplifies the process of uploading the CMDB export, allowing for a streamlined analysis without the need for extensive manual data entry or transformation.
-Actionable insights: Migration Evaluator can provide insights on potential savings, resource optimization, and required configurations, which are critical for building a compelling business case for migration.

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QUESTION: 153

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QUESTION: 155

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QUESTION: 156

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