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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q724-Q729):

NEW QUESTION # 724
A retail company is mounting IoT sensors in all of its stores worldwide. During the manufacturing of each sensor, the company's private certificate authority (CA) issues an X.509 certificate that contains a unique serial number. The company then deploys each certificate to its respective sensor.
A solutions architect needs to give the sensors the ability to send data to AWS after they are installed. Sensors must not be able to send data to AWS until they are installed.
Which solution will meet these requirements?

A. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Include parameter validation in the template. Provision a claim certificate and a private key for each device that uses the CA. Grant AWS IoT Core service permissions to update AWS IoT things during provisioning.
B. Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. Register the CA with AWS IoT Core, specify the provisioning template, and set the allow-auto-registration parameter.
C. Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. During manufacturing, call the RegisterThing API operation and specify the template and parameters.
D. Create an AWS Step Functions state machine that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Specify the Step Functions state machine to validate parameters. Call the StartThingRegistrationTask API operation during installation.

Answer: B

Explanation:
By integrating a Lambda pre-provisioning hook into the AWS IoT Core provisioning template, the serial number can be validated against the CA before the device is allowed to send data.
Using allow-auto-registration ensures that only installed devices can register and send data, meeting the security requirement that sensors cannot send data until physically installed.
This approach follows AWS IoT's secure onboarding pattern for managing device identity and authorization.

NEW QUESTION # 725
A financial services company sells its software-as-a-service (SaaS) platform for application compliance to large global banks. The SaaS platform runs on AWS and uses multiple AWS accounts that are managed in an organization in AWS Organizations. The SaaS platform uses many AWS resources globally.
For regulatory compliance, all API calls to AWS resources must be audited, tracked for changes, and stored in a durable and secure data store.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a new AWS CloudTrail trail. Use an existing Amazon S3 bucket in the organization's management account to store the logs. Deploy the trail to all AWS Regions. Enable MFA delete and encryption on the S3 bucket.
B. Create a new AWS CloudTrail trail in the organization's management account. Create a new Amazon S3 bucket to store the logs. Configure Amazon Simple Notification Service (Amazon SNS) to send log-file delivery notifications to an external management system that will track the logs. Enable MFA delete and encryption on the S3 bucket.
C. Create a new AWS CloudTrail trail in each member account of the organization. Create new Amazon S3 buckets to store the logs. Deploy the trail to all AWS Regions. Enable MFA delete and encryption on the S3 buckets.
D. Create a new AWS CloudTrail trail in the organization's management account. Create a new Amazon S3 bucket with versioning turned on to store the logs. Deploy the trail for all accounts in the organization.
Enable MFA delete and encryption on the S3 bucket.

Answer: D

Explanation:
Explanation
The correct answer is C. This option uses AWS CloudTrail to create a trail in the organization's management account that applies to all accounts in the organization. This way, the company can centrally manage and audit all API calls to AWS resources across multiple accounts and regions. The company also needs to create a new Amazon S3 bucket with versioning turned on to store the logs. Versioning helps protect against accidental or malicious deletion of log files by keeping multiple versions of each object in the bucket. The company also needs to enable MFA delete and encryption on the S3 bucket to further enhance the security and durability of the data store.
Option A is incorrect because it uses an existing S3 bucket in the organization's management account to store the logs. This may not be optimal for regulatory compliance, as the existing bucket may have different permissions, encryption settings, or lifecycle policies than a dedicated bucket for CloudTrail logs.
Option B is incorrect because it requires creating a new CloudTrail trail in each member account of the organization. This adds operational overhead and complexity, as the company would need to manage multiple trails and S3 buckets across multiple accounts and regions.
Option D is incorrect because it requires configuring Amazon SNS to send log-file delivery notifications to an external management system that will track the logs. This adds unnecessary complexity and cost, as CloudTrail already provides log-file integrity validation and log-file digest delivery features that can help verify the authenticity and integrity of log files.

NEW QUESTION # 726
A company provides a centralized Amazon EC2 application hosted in a single shared VPC. The centralized application must be accessible from client applications running in the VPCs of other business units. The centralized application front end is configured with a Network Load Balancer (NLB) for scalability.
Up to 10 business unit VPCs will need to be connected to the shared VPC. Some of the business unit VPC CIDR blocks overlap with the shared VPC. and some overlap with each other. Network connectivity to the centralized application in the shared VPC should be allowed from authorized business unit VPCs only.
Which network configuration should a solutions architect use to provide connectivity from the client applications in the business unit VPCs to the centralized application in the shared VPC?

A. Configure a virtual private gateway for the shared VPC and create customer gateways for each of the authorized business unit VPCs. Establish a Sile-to-Site VPN connection from the business unit VPCs to the shared VPC. Configure VPC routing tables to send traffic to the VPN connection.
B. Create an AW5 Transit Gateway. Attach the shared VPC and the authorized business unit VPCs to the transit gateway. Create a single transit gateway route table and associate it with all of the attached VPCs. Allow automatic propagation of routes from the attachments into the route table. Configure VPC routing tables to send traffic to the transit gateway.
C. Create a VPC endpoint service using the centralized application NLB and enable (he option to require endpoint acceptance. Create a VPC endpoint in each of the business unit VPCs using the service name of the endpoint service. Accept authorized endpoint requests from the endpoint service console.
D. Create a VPC peering connection from each business unit VPC to Ihe shared VPC. Accept the VPC peering connections from the shared VPC console. Configure VPC routing tables to send traffic to the VPC peering connection.

Answer: C

Explanation:
Amazon Transit Gateway doesn't support routing between Amazon VPCs with overlapping CIDRs. If you attach a new Amazon VPC that has a CIDR which overlaps with an already attached Amazon VPC, Amazon Transit Gateway will not propagate the new Amazon VPC route into the Amazon Transit Gateway route table.
https://docs.aws.amazon.com/elasticloadbalancing/latest/network/load-balancer-target-groups.html#client-ip-preservation

NEW QUESTION # 727
A company runs production workloads on EC2 On-Demand Instances and RDS for PostgreSQL. They want to reduce costs without compromising availability or capacity.

A. Use Budgets and Trusted Advisor, then manually terminate and buy RIs.
B. Use Cost Explorer, alerts, and replace with Spot Instances.
C. Use CUR and Lambda to terminate underutilized instances. Buy Savings Plans.
D. UseCompute OptimizerandTrusted Advisorfor recommendations. Apply rightsizing, auto scaling, and purchase a Compute Savings Plan.

Answer: D

Explanation:
C is correct:AWS Compute Optimizeruses machine learning to analyze usage patterns and recommends rightsizing.Trusted Advisoradds further insights. Combining these withSavings Plansgives the best cost optimizationwithout reducing availability.
A is risky due to using Lambda for termination.
B and D offer partial or manual solutions.

NEW QUESTION # 728
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?

A. 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.
B. 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.
C. 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.
D. 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.

Answer: D

Explanation:
Deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (Amazon ECR) and creating a Lambda layer that uses the Docker image as the source. Then, deploying the API's Lambda functions as Zip packages and configuring the packages to use the Lambda layer would meet the requirements for simplifying the deployment and optimizing for code reuse.
A Lambda layer is a distribution mechanism for libraries, custom runtimes, and other function dependencies.
It allows you to manage your in-development function code separately from your dependencies, this way you can easily update your dependencies without having to update your entire function code.
By deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (ECR), it makes it easy to manage and version the dependencies. This way, the company can use the same version of the dependencies across different Lambda functions.
By creating a Lambda layer that uses the Docker image as the source, the company can configure the API's Lambda functions to use the layer, reducing the need to include the dependencies in each function package, and making it easy to update the dependencies across all functions at once.
Reference:
AWS Lambda Layers documentation: https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.
html
AWS Elastic Container Registry (ECR) documentation: https://aws.amazon.com/ecr/ Building Lambda Layers with Docker documentation: https://aws.amazon.com/blogs/compute/building- lambda-layers-with-docker/

NEW QUESTION # 729
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