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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Continuous Improvement for Existing Solutions	25%	- Apply security best practices and compliance updates - Optimize existing workloads for cost, performance, and security - Refactor and modernize legacy applications - Implement monitoring, logging, and observability
Topic 2: Design Solutions for Organizational Complexity	26%	- Design hybrid and multi-cloud networking - Design multi-account and multi-region architectures - Design for compliance and governance requirements - Design for operational excellence and automation
Topic 3: Design for New Solutions	29%	- Design for reliability and fault tolerance - Design high-performing and scalable solutions - Design secure and resilient architectures - Design cost-optimized architectures
Topic 4: 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

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Topic: Real Amazon SAP-C02 Exam Practice Questions

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q318-Q323):

NEW QUESTION # 318
A company is using AWS to develop and manage its production web application. The application includes an Amazon API Gateway HTTP API that invokes an AWS Lambda function. The Lambda function processes and then stores data in a database.
The company wants to implement user authorization for the web application in an integrated way.
The company already uses a third-party identity provider that issues OAuth tokens for the company's other applications.
Which solution will meet these requirements?

A. Integrate the company's third-party identity provider with AWS Directory Service. Configure Directory Service as an API Gateway authorizer to validate tokens from the identity provider.
Require the Directory Service authorizer on all API routes. Configure AWS IAM Identity Center as a SAML 2.0 identity Provider. Configure the web application as a custom SAML 2.0 application.
B. Integrate the company's third-party identity provider with AWS IAM Identity Center. Configure IAM users with permissions to call the API Gateway HTTP API. Update the web application to extract request parameters from the IAM users and include the parameters in the Authorization header when calling the API Gateway HTTP API.
C. Integrate the company's third-party identity provider with API Gateway. Configure an API Gateway Lambda authorizer to validate tokens from the identity provider. Require the Lambda authorizer on all API routes. Update the web application to get tokens from the identity provider and include the tokens in the Authorization header when calling the API Gateway HTTP API.
D. Integrate the company's third-party identity provider with AWS IAM Identity Center. Configure API Gateway to use IAM Identity Center for zero-configuration authentication and authorization.
Update the web application to retrieve AWS Security Token Service (AWS STS) tokens from IAM Identity Center and include the tokens in the Authorization header when calling the API Gateway HTTP API.

Answer: C

NEW QUESTION # 319
An insurance company is developing an AI assistant to help customers submit claims. The AI assistant will authenticate users by using Amazon Cognito and answer questions about claim documents that are stored in Amazon S3. The AI assistant must also perform tasks such as creating a claim and gathering evidence. The AI assistant must maintain context for each customer across sessions, isolate active sessions, scale automatically, and use minimal custom retrieval logic.
Which solution will meet these requirements with the LEAST development overhead?

A. Use Amazon Bedrock Knowledge Bases only. Store all user context in browser local storage. Use the RetrieveAndGenerate API action for every request. Prompt the model to output JSON instructions to create claims. Configure a nightly batch process to import the instructions into the claims platform.
B. Use Amazon Bedrock AgentCore Runtime and Amazon Bedrock Knowledge Bases with one shared actor_id value for all authenticated users to maximize the reuse of conversation context.Store each user's preferences by duplicating each document into a separate S3 prefix. Retrain the model weekly to personalize it for each customer.
C. Deploy a custom agent on Amazon ECS. Store conversation history in Amazon ElastiCache.
Store long-term customer preferences in Amazon DynamoDB. Build a custom ingestion pipeline that chunks documents in Amazon S3, generates embeddings by using an Amazon Titan model, and stores vectors in Amazon OpenSearch Service. Expose backend claims APIs through Amazon API Gateway.
D. Use Amazon Bedrock AgentCore Runtime to host an agent, and configure session isolation and serverless scaling. Integrate Amazon Bedrock AgentCore Identity with Amazon Cognito bearer tokens. Use Amazon Bedrock Knowledge Bases instead of Amazon S3 to store claims documents and enable managed RAG with citations. Connect backend claim operations as agent tools through AWS Lambda based actions.

Answer: D

Explanation:
Amazon Bedrock AgentCore Runtime provides managed agent hosting with session isolation and serverless scaling, which supports isolated active sessions with minimal infrastructure management. AgentCore Identity can integrate with Amazon Cognito bearer tokens for user authentication. Amazon Bedrock Knowledge Bases provides managed retrieval-augmented generation over documents with citations, reducing custom retrieval logic. Lambda-based actions allow the agent to perform backend tasks such as creating claims and gathering evidence.

NEW QUESTION # 320
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 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.
B. 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.
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:
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 # 321
During an audit, a security team discovered that a development team was putting IAM user secret access keys in their code and then committing it to an AWS CodeCommit repository. The security team wants to automatically find and remediate instances of this security vulnerability
Which solution will ensure that the credentials are appropriately secured automatically?

A. Configure Amazon Macie to scan for credentials in CodeCommit repositories If credentials are found, trigger an AWS Lambda function to disable the credentials and notify the user
B. Use a scheduled AWS Lambda function to download and scan the application code from CodeCommit If credentials are found, generate new credentials and store them in AWS KMS
C. Configure a CodeCommit trigger to invoke an AWS Lambda function to scan new code submissions for credentials If credentials are found, disable them in AWS IAM and notify the user.
D. Run a script nightly using AWS Systems Manager Run Command to search for credentials on the development instances If found use AWS Secrets Manager to rotate the credentials.

Answer: D

NEW QUESTION # 322
A company has applications in an AWS account that is named Source. The account is in an organization in AWS Organizations. One of the applications uses AWS Lambda functions and stores inventory data in an Amazon Aurora database. The application deploys the Lambda functions by using a deployment package. The company has configured automated backups for Aurora.
The company wants to migrate the Lambda functions and the Aurora database to a new AWS account that is named Target. The application processes critical data, so the company must minimize downtime.
Which solution will meet these requirements?

A. Use AWS Resource Access Manager (AWS RAM) to share the Lambda functions with the Target account. Share the automated Aurora DB cluster snapshot with the Target account.
B. Download the Lambda function deployment package from the Source account. Use the deployment package and create new Lambda functions in the Target account. Share the automated Aurora DB cluster snapshot with the Target account.
C. Download the Lambda function deployment package from the Source account. Use the deployment package and create new Lambda functions in the Target account Share the Aurora DB cluster with the Target account by using AWS Resource Access Manager {AWS RAM). Grant the Target account permission to clone the Aurora DB cluster.
D. Use AWS Resource Access Manager (AWS RAM) to share the Lambda functions and the Aurora DB cluster with the Target account. Grant the Target account permission to clone the Aurora DB cluster.

Answer: C

Explanation:
This solution uses a combination of AWS Resource Access Manager (RAM) and automated backups to migrate the Lambda functions and the Aurora database to the Target account while minimizing downtime. In this solution, the Lambda function deployment package is downloaded from the Source account and used to create new Lambda functions in the Target account. The Aurora DB cluster is shared with the Target account using AWS RAM and the Target account is granted permission to clone the Aurora DB cluster, allowing for a new copy of the Aurora database to be created in the Target account. This approach allows for the data to be migrated to the Target account while minimizing downtime, as the Target account can use the cloned Aurora database while the original Aurora database continues to be used in the Source account.

NEW QUESTION # 323
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