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Amazon SAP-C02 exam is an advanced certification for IT professionals who want to demonstrate their expertise in designing and deploying scalable, fault-tolerant, and highly available systems on the Amazon Web Services (AWS) platform. SAP-C02 exam is intended for individuals who have already obtained the AWS Certified Solutions Architect – Associate certification and have at least two years of experience in designing and deploying AWS-based applications.

To prepare for the SAP-C02 Exam, candidates are encouraged to have hands-on experience designing and deploying complex systems on AWS. AWS offers a range of training and certification resources, including classroom training, online training, and self-paced labs. In addition, there are several third-party training providers that offer courses and study materials specifically tailored to the SAP-C02 exam.

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The SAP-C02 exam is designed to test candidates on a broad range of topics related to AWS architecture, including advanced design principles, security, data storage, networking, and more. SAP-C02 exam consists of 75 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete it. SAP-C02 Exam is available in English, Japanese, Korean, and Simplified Chinese languages.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q407-Q412):

NEW QUESTION # 407
A company manages multiple AWS accounts by using AWS Organizations. Under the root OU. the company has two OUs: Research and DataOps.
Because of regulatory requirements, all resources that the company deploys in the organizationmust reside in the ap-northeast-1 Region. Additionally. EC2 instances that the company deploys in the DataOps OU must use a predefined list of instance types A solutions architect must implement a solution that applies these restrictions. The solution must maximize operational efficiency and must minimize ongoing maintenance Which combination of steps will meet these requirements? (Select TWO )

A. Create an SCP Use the ec2 Reoion condition key to restrict access to all AWS Regions except ap- northeast-1. Apply the SCP to the root OU. the DataOps OU. and the Research OU.
B. Create an IAM user in all accounts under the root OU Use the aws RequestedRegion condition key in an inline policy on each user to restrict access to all AWS Regions except ap-northeast-1.
C. Create an SCP Use the aws:RequestedRegion condition key to restrict access to all AWS Regions except ap-northeast-1 Apply the SCP to the root OU.
D. Create an IAM role in one account under the DataOps OU Use the ec2 Instance Type condition key in an inline policy on the role to restrict access to specific instance types.
E. Create an SCP Use the ec2:lnstanceType condition key to restrict access to specific instance types Apply the SCP to the DataOps OU.

Answer: C,E

Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_examples_aws_deny-requested- region.html
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examples_ec2.html

NEW QUESTION # 408
A company is building an image service on the web that will allow users to upload and search random photos. At peak usage, up to 10,000 users worldwide will upload their images. The will then overlay text on the uploaded images, which will then be published on the company website.
Which design should a solutions architect implement?

A. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to the Amazon Simple Queue Service (Amazon SQS) queue.
Create a fleet of Amazon EC2 instances to pull messages from the SQS queue to process the images and place them in another S3 bucket. Use Amazon CloudWatch metrics for queue depth to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the S3 bucket that contains the processed images.
B. Store the uploaded images in Amazon Elastic File System (Amazon EFS). Send application log information about each image to Amazon CloudWatch Logs. Create a fleet of Amazon EC2 instances that use CloudWatch Logs to determine which images need to be processed. Place processed images in another directory in Amazon EFS. Enable Amazon CloudFront and configure the origin to be the one of the EC2 instances in the fleet.
C. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to Amazon Simple Notification Service (Amazon SNS). Create a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) to pull messages from Amazon SNS to process the images and place them in Amazon Elastic File System (Amazon EFS). Use Amazon CloudWatch metrics for the SNS message volume to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the ALB in front of the EC2 instances.
D. Store the uploaded images on a shared Amazon Elastic Block Store (Amazon EBS) volume mounted to a fleet of Amazon EC2 Spot instances. Create an Amazon DynamoDB table that contains information about each uploaded image and whether it has been processed. Use an Amazon EventBridge rule to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to reference an Elastic Load Balancer in front of the fleet of EC2 instances.

Answer: A

NEW QUESTION # 409
A company is running an application in the AWS Cloud. The application collects and stores a large amount of unstructured data in an Amazon S3 bucket. The S3 bucket contains several terabytes of data and uses the S3 Standard storage class. The data increases in size by several gigabytes every day.
The company needs to query and analyze the data. The company does not access data that is more than
1-year-old. However, the company must retain all the data indefinitely for compliance reasons.
Which solution will meet these requirements MOST cost-effectively?

A. Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Intelligent-Tiering.
B. Use S3 Select to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
C. Use an AWS Glue Data Catalog and Amazon Athena to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
D. Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.

Answer: C

Explanation:
Generally, unstructured data should be converted structured data before querying them. AWS Glue can do that. https://docs.aws.amazon.com/glue/latest/dg/schema-relationalize.html
https://docs.aws.amazon.com/athena/latest/ug/glue-athena.html

NEW QUESTION # 410
A delivery company is running a serverless solution in tneAWS Cloud The solution manages user data, delivery information and past purchase details The solution consists of several microservices The central user service stores sensitive data in an Amazon DynamoDB table Several of the other microservices store a copy of parts of the sensitive data in different storage services The company needs the ability to delete user information upon request As soon as the central user service deletes a user every other microservice must also delete its copy of the data immediately Which solution will meet these requirements?

A. Activate DynamoDB Streams on the DynamoDB table Create an AWS Lambda trigger for the DynamoDB stream that will post events about user deletion in an Amazon Simple Queue Service (Amazon SQS) queue Configure each microservice to poll the queue and delete the user from the DynamoDB table
B. Set up DynamoDB event notifications on the DynamoDB table Create an Amazon Simple Notification Service (Amazon SNS) topic as a target for the DynamoDB event notification Configure each microservice to subscribe to the SNS topic and to delete the user from the DynamoDB table
C. Configure the central user service to post a message on an Amazon Simple Queue Service (Amazon SQS) queue when the company deletes a user Configure each microservice to create an event filter on the SQS queue and to delete the user from the DynamoDB table
D. Configure the central user service to post an event on a custom Amazon EventBridge event bus when the company deletes a user Create an EventBndge rule for each microservice to match the user deletion event pattern and invoke logic in the microservice to delete the user from the DynamoDB table

Answer: D

Explanation:
* Set Up EventBridge Event Bus:
* Step 1: Open the Amazon EventBridge console and create a custom event bus. This bus will be used to handle user deletion events.
* Step 2: Name the event bus appropriately (e.g., user-deletion-bus).
* Post Events on User Deletion:
* Step 1: Modify the central user service to post an event to the custom EventBridge event bus whenever a user is deleted.
* Step 2: Ensure the event includes relevant details such as the user ID and any other necessary metadata.
* Create EventBridge Rules for Microservices:
* Step 1: For each microservice that needs to delete user data, create a new rule in EventBridge that triggers on the user deletion event.
* Step 2: Define the event pattern to match the user deletion event. This pattern should include the event details posted by the central user service.
* Invoke Microservice Logic:
* Step 1: Configure the EventBridge rule to invoke a target, such as an AWS Lambda function, which contains the logic to delete the user data from the microservice's data store.
* Step 2: Each microservice should have its Lambda function or equivalent logic to handle the deletion of user data upon receiving the event.
Using Amazon EventBridge ensures a scalable, reliable, and decoupled approach to handle the deletion of user data across multiple microservices. This setup allows each microservice to independently process user deletion events without direct dependencies on other services.
References
* AWS EventBridge Documentation
* DynamoDB Streams and AWS Lambda Triggers
* Implementing the Transactional Outbox Pattern with EventBridge Pipes (AWS Documentation) (Amazon Web Services, Inc.) (Amazon Web Services, Inc.) (AWS Documentation) (AWS Cloud Community).

NEW QUESTION # 411
A company has developed APIs that use Amazon API Gateway with Regional endpoints. The APIs call AWS Lambda functions that use API Gateway authentication mechanisms. After a design review, a solutions architect identifies a set of APIs that do not require public access.
The solutions architect must design a solution to make the set of APIs accessible only from a VPC. All APIs need to be called with an authenticated user.
Which solution will meet these requirements with the LEAST amount of effort?

A. Deploy the Lambda functions inside the VPC. Provision an EC2 instance, and install an Apache server.From the Apache server, call the Lambda functions. Use the internal CNAME record of the EC2 instance to call the API from the VPC.
B. Update the API endpoint from Regional to private in API Gateway. Create an interface VPC endpoint in the VPC. Create a resource policy, and attach it to the API. Use the VPC endpoint to call the API from the VPC.
C. Remove the DNS entry that is associated with the API in API Gateway. Create a hosted zone in Amazon Route 53. Create a CNAME record in the hosted zone. Update the API in API Gateway with the CNAME record. Use the CNAME record to call the API from the VPC.
D. Create an internal Application Load Balancer (ALB). Create a target group. Select the Lambda function to call. Use the ALB DNS name to call the API from the VPC.

Answer: B

Explanation:
Explanation
This solution requires the least amount of effort as it only requires to update the API endpoint to private in API Gateway and create an interface VPC endpoint. Then create a resource policy and attach it to the API. This will make the API only accessible from the VPC and still keep the authentication mechanism intact.
Reference:
* https://aws.amazon.com/premiumsupport/knowledge-center/private-api-gateway-vpc-endpoint/
* https://aws.amazon.com/api-gateway/features/

NEW QUESTION # 412
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