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SAP-C02 Exam Dumps - Amazon Web Services AWS Certified Professional Questions and Answers

Question # 139

A company stores application data in many Amazon S3 buckets in one AWS account. Some of the S3 buckets contain sensitive data. The company does not have data inventory for the S3 buckets. The company uses server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt all data in the S3 buckets.

A solutions architect must design a solution to encrypt sensitive data with a key that only administrators can access.

Which solution will meet these requirements?

Options:

A.

Use Amazon Inspector to determine which S3 buckets contain sensitive data. Create a new AWS KMS customer managed key and a key policy that provides access to administrators only. Set default S3 bucket encryption to use the new KMS key (SSE-KMS). Update the S3 bucket policy to add a Deny effect and a Condition element of " StringNotEquals " : { " s3:x-amz-server-side-encryption " : " aws:kms " }.

B.

Use Amazon Inspector to determine which S3 buckets contain sensitive data. Update the key policy on the AWS managed key to provide access to administrators only. Use AWS Batch to encrypt all existing objects that include sensitive data in the S3 buckets with the updated AWS managed key.

C.

Use Amazon Made to determine which S3 buckets contain sensitive data. Create a new AWS KMS customer managed key and a key policy that provides access to administrators only. Set default S3 bucket encryption to use the new KMS key (SSE-KMS). Create an AWS Step Functionsworkflow to encrypt all existing S3 objects that include sensitive data by using the new KMS key.

D.

Use Amazon Made to determine which S3 buckets contain sensitive data. Update the key policy on the AWS managed key to provide access to administrators only. Update the S3 bucket policy to add a Deny effect and a Condition element of " StringNotEquals " : { " s3:x-amz-server-side-encryption " : " aws:kms " }.

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Question # 140

An online retail company is migrating its legacy on-premises .NET application to AWS. The application runs on load-balanced frontend web servers, load-balanced application servers, and a Microsoft SQL Server database.

The company wants to use AWS managed services where possible and does not want to rewrite the application. A solutions architect needs to implement a solution to resolve scaling issues and minimize licensing costs as the application scales.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Deploy Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancerfor the web tier and for the application tier. Use Amazon Aurora PostgreSQL with Babelfish turned on to replatform the SOL Server database.

B.

Create images of all the servers by using AWS Database Migration Service (AWS DMS). Deploy Amazon EC2 instances that are based on the on-premises imports. Deploy the instances in an Auto Scaling group behind a Network Load Balancer for the web tier and for the application tier. Use Amazon DynamoDB as the database tier.

C.

Containerize the web frontend tier and the application tier. Provision an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Create an Auto Scaling group behind a Network Load Balancer for the web tier and for the application tier. Use Amazon RDS for SOL Server to host the database.

D.

Separate the application functions into AWS Lambda functions. Use Amazon API Gateway for the web frontend tier and the application tier. Migrate the data to Amazon S3. Use Amazon Athena to query the data.

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Question # 141

A company is developing a web application that runs on Amazon EC2 instances in an Auto Scaling group behind a public-facing Application Load Balancer (ALB). Only users from a specific country are allowed to access the application. The company needs the ability to log the access requests that have been blocked. The solution should require the least possible maintenance.

Which solution meets these requirements?

Options:

A.

Create an IPSet containing a list of IP ranges that belong to the specified country. Create an AWS WAF web ACL. Configure a rule to block any requests that do not originate from an IP range in theIPSet. Associate the rule with the web ACL. Associate the web ACL with the ALB.

B.

Create an AWS WAF web ACL. Configure a rule to block any requests that do not originate from the specified country. Associate the rule with the web ACL. Associate the web ACL with the ALB.

C.

Configure AWS Shield to block any requests that do not originate from the specified country. Associate AWS Shield with the ALB.

D.

Create a security group rule that allows ports 80 and 443 from IP ranges that belong to the specified country. Associate the security group with the ALB.

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Question # 142

A company needs to apply consistent custom security audit rules across its organization in AWS Organizations. Accounts in the organization use a single AWS Region.

The company uses AWS Config in each account with four custom rules and five managed rules. The rules must be deployed to all accounts and must not be editable by member accounts. The company wants to easily update rules in the future. All required permissions are already in place.

Which combination of steps will meet these requirements with the LEAST operational effort? (Select TWO.)

Options:

A.

Call the PutOrganizationConformancePack API operation from a delegated administrator account to deploy the conformance pack to the entire organization.

B.

Create an AWS Config conformance pack that includes four custom policy rules.

C.

Create an AWS Config conformance pack that includes four custom policy rules and five AWS managed rules.

D.

Deploy five AWS organizational rules and the conformance pack from a delegated administrator account to the entire organization.

E.

Use AWS CloudFormation StackSets to deploy the conformance pack with termination protection.

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Question # 143

A company gives users the ability to upload images from a custom application. The upload process invokes an AWS Lambda function that processes and stores the image in an Amazon S3 bucket. The application invokes the Lambda function by using a specific function version ARN.

The Lambda function accepts image processing parameters by using environment variables. The company often adjusts the environment variables of the Lambda function to achieve optimal image processing output. The company tests different parameters and publishes a new function version with the updated environment variables after validating results. This update process also requires frequent changes to the custom application to invoke the new function version ARN. These changes cause interruptions for users.

A solutions architect needs to simplify this process to minimize disruption to users.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Directly modify the environment variables of the published Lambda function version. Use the SLATEST version to test image processing parameters.

B.

Create an Amazon DynamoDB table to store the image processing parameters. Modify the Lambda function to retrieve the image processing parameters from the DynamoDB table.

C.

Directly code the image processing parameters within the Lambda function and remove the environment variables. Publish a new function version when the company updates the parameters.

D.

Create a Lambda function alias. Modify the client application to use the function alias ARN. Reconfigure the Lambda alias to point to new versions of the function when the company finishes testing.

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Question # 144

Question:

A company runs a Linux app on Amazon EKS usingM6iEC2 instances under a Savings Plan that is about to expire. They want toreduce costsafter expiration.

Options:

A.

Rebuild containers forARM64architecture.

B.

Rebuild containers for container compatibility (invalid/unclear).

C.

Migrate EKS nodes toGraviton(e.g., C7g, M7g).

D.

Replace nodes with latestx86_64instances.

E.

Purchase new Savings Plan for Graviton instance family.

F.

Purchase new Savings Plan for x86_64 instances.

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Question # 145

A flood monitoring agency has deployed more than 10.000 water-level monitoring sensors. Sensors send continuous data updates, and each update is less than 1 MB in size. The agency has a fleet of on-premises application servers. These servers receive upda.es ' on the sensors, convert the raw data into a human readable format, and write the results loan on-premises relational database server. Data analysts then use simple SOL queries to monitor the data.

The agency wants to increase overall application availability and reduce the effort that is required to perform maintenance tasks These maintenance tasks, which include updates and patches to the application servers, cause downtime. While an application server is down, data is lost from sensors because the remaining servers cannot handle the entire workload.

The agency wants a solution that optimizes operational overhead and costs. A solutions architect recommends the use of AWS loT Core to collect the sensor data.

What else should the solutions architect recommend to meet these requirements?

Options:

A.

Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to .csv format, and insert it into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

B.

Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to Apache Parquet format and save it to an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.

C.

Send the sensor data to an Amazon Managed Service for Apache Flink {previously known as Amazon Kinesis Data Analytics) application to convert the data to .csv format and store it in an Amazon S3 bucket. Import the data into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

D.

Send the sensor data to an Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket Instruct the data analysis to query the data by using Amazon Athena.

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Question # 146

A machine learning (ML) company continuously develops new versions of its models. The models are integrated into a web application that uses a RESTful API to call custom Python code to invoke the models. The application runs in an Amazon EC2 Auto Scaling group.

Customer feedback indicates that new model versions sometimes perform worse than previous versions. The company wants to implement a gradual deployment approach in which 10% of traffic is initially routed to new models to verify performance. The solution must also reduce operational overhead for infrastructure management.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Deploy model versions to an Amazon SageMaker AI multi-model endpoint. Configure the weight for the new version to 10% and the previous version to 90%. Migrate the Python code to an AWS Lambda function. Use Amazon API Gateway to invoke the Lambda function.

B.

Deploy each model version to a separate Amazon SageMaker Serverless Inference endpoint. Configure an AWS Lambda function to route 10% of invocation calls to the new endpoint and 90% to the previous version based on weighted random selection. Use Amazon API Gateway to invoke the Lambda function.

C.

Deploy each model version to a separate Amazon SageMaker AI single-model endpoint. Configure an AWS Lambda function to route 10% of invocation calls to the new endpoint ' s URL and 90% to the previous version. Use Amazon API Gateway to invoke the Lambda function.

D.

Deploy model versions to an Amazon SageMaker Serverless Inference endpoint. Use Amazon API Gateway with a canary deployment to gradually shift 10% of traffic to the new model version while maintaining 90% of traffic on the previous version.

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Question # 147

A retail company needs to provide a series of data files to another company, which is its business partner These files are saved in an Amazon S3 bucket under Account A. which belongs to the retail company. The business partner company wants one of its 1AM users. User_DataProcessor. to access the files from its own AWS account (Account B).

Which combination of steps must the companies take so that User_DataProcessor can access the S3 bucket successfully? (Select TWO.)

Options:

A.

Turn on the cross-origin resource sharing (CORS) feature for the S3 bucket in Account

B.

In Account A. set the S3 bucket policy to the following:

C.

C. In Account A. set the S3 bucket policy to the following:

D.

D. In Account B. set the permissions of User_DataProcessor to the following:

E.

E. In Account Bt set the permissions of User_DataProcessor to the following:

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Question # 148

A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events. The database is unable to scale due to heavy ingestion and it frequently runs out of storage.

The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:

• Managed AWS services to minimize operational complexity

• A buffer that automatically scales to match the throughput of data and requires no on-going administration.

• A visualization toot to create dashboards to observe events in near-real time.

• Support for semi -structured JSON data and dynamic schemas.

Which combination of components will enabled© company to create a monitoring solution that will satisfy these requirements ' ' (Select TWO.)

Options:

A.

Use Amazon Kinesis Data Firehose to buffer events Create an AWS Lambda function 10 process and transform events

B.

Create an Amazon Kinesis data stream to buffer events Create an AWS Lambda function to process and transform evens

C.

Configure an Amazon Aurora PostgreSQL DB cluster to receive events Use Amazon Quick Sight to read from the database and create near-real-time visualizations and dashboards

D.

Configure Amazon Elasticsearch Service (Amazon ES) to receive events Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.

E.

Configure an Amazon Neptune 0 DB instance to receive events Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards

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Question # 149

A solutions architect at a large company needs to set up network security tor outbound traffic to the internet from all AWS accounts within an organization in AWS Organizations. The organization has more than 100 AWS accounts, and the accounts route to each other by using a centralized AWS Transit Gateway. Each account has both an internet gateway and a NAT gateway tor outbound traffic to the internet The company deploys resources only into a single AWS Region.

The company needs the ability to add centrally managed rule-based filtering on all outbound traffic to the internet for all AWS accounts in the organization. The peak load of outbound traffic will not exceed 25 Gbps in each Availability Zone.

Which solution meets these requirements?

Options:

A.

Create a new VPC for outbound traffic to the internet. Connect the existing transit gateway to the new VPC. Configure a new NAT gateway. Create an Auto Scaling group of Amazon EC2 instances that run an open-source internet proxy for rule-based filtering across all Availability Zones in the Region. Modify all default routes to point to the proxy ' s Auto Scaling group.

B.

Create a new VPC for outbound traffic to the internet. Connect the existing transit gateway to the new VPC. Configure a new NAT gateway. Use an AWSNetwork Firewall firewall for rule-based filtering. Create Network Firewall endpoints in each Availability Zone. Modify all default routes to point to the Network Firewall endpoints.

C.

Create an AWS Network Firewall firewall for rule-based filtering in each AWS account. Modify all default routes to point to the Network Firewall firewalls in each account.

D.

In each AWS account, create an Auto Scaling group of network-optimized Amazon EC2 instances that run an open-source internet proxy for rule-based filtering. Modify all default routes to point to the proxy ' s Auto Scaling group.

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Question # 150

A company migrated to AWS and uses AWS Business Support. The company wants to monitor thecost-effectiveness of Amazon EC2 instances. The EC2 instances have tags for department, business unit, and environment. Development EC2 instances have high cost but low utilization.

The company needs to detect and stop any underutilized development EC2 instances. Instances are underutilized if they had 10% or less average CPU utilization and 5 MB or less network I/O for at least 4 of the past 14 days.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Configure Amazon CloudWatch dashboards to monitor EC2 instance utilization based on tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized development EC2 instances.

B.

Configure AWS Systems Manager to track EC2 instance utilization and report underutilized instances to Amazon CloudWatch. Filter the CloudWatch data by tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized EC2 instances.

C.

Create an Amazon EventBridge rule to detect low utilization of EC2 instances reported by AWS Trusted Advisor. Configure the rule to invoke a Lambda function that filters the data by tags for department, business unit, and environment and stops underutilized development EC2 instances.

D.

Create an AWS Lambda function to run daily to retrieve utilization data for all EC2 instances. Save the data to an Amazon DynamoDB table. Create a QuickSight dashboard that uses the DynamoDB table as a data source to identify and stop underutilized development EC2 instances.

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Question # 151

A company ' s compliance audit reveals that some Amazon Elastic Block Store (Amazon EBS) volumes that were created in an AWS account were not encrypted. A solutions architect must Implement a solution to encrypt all new EBS volumes at rest

Which solution will meet this requirement with the LEAST effort?

Options:

A.

Create an Amazon EventBridge rule to detect the creation of unencrypted EBS volumes. Invoke an AWS Lambda function to delete noncompliant volumes.

B.

Use AWS Audit Manager with data encryption.

C.

Create an AWS Config rule to detect the creation of a new EBS volume. Encrypt the volume by using AWS Systems Manager Automation.

D.

Turn in EBS encryption by default in all AWS Regions.

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Question # 152

A company is using AWS Organizations to manage multiple AWS accounts. For security purposes, the company requires the creation of an Amazon Simple Notification Service (Amazon SNS) topic that enables integration with a third-party alerting system in all the Organizations member accounts.

A solutions architect used an AWS CloudFormation template to create the SNS topic and stack sets to automate the deployment of Cloud Formation stacks. Trustedaccess has been enabled in Organizations.

What should the solutions architect do to deploy the CloudFormation StackSets in all AWS accounts?

Options:

A.

Create a stack set in the Organizations member accounts. Use service-managed permissions. Set deployment options to deploy to an organization. Use CloudFormation StackSets drift detection.

B.

Create stacks in the Organizations member accounts. Use self-service permissions. Set deployment options to deploy to an organization. Enable the CloudFormation StackSets automatic deployment.

C.

Create a stack set in the Organizations management account. Use service-managed permissions. Set deployment options to deploy to the organization. Enable CloudFormation StackSets automatic deployment.

D.

Create stacks in the Organizations management account. Use service-managed permissions. Set deployment options to deploy to the organization. Enable CloudFormation StackSets drift detection.

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Question # 153

A company is hosting an application on AWS for a project that will run for the next 3 years. The application consists of 20 Amazon EC2 On-Demand Instances that are registered in a target group for a Network Load Balancer (NLB). The instances are spread across two Availability Zones. The application is stateless and runs 24 hours a day, 7 days a week.

The company receives reports from users who are experiencing slow responses from the application. Performance metrics show that the instances are at 10% CPU utilization during normal application use. However, the CPU utilization increases to 100% at busy times, which typically last for a few hours.

The company needs a new architecture to resolve the problem of slow responses from the application.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Create an Auto Scaling group. Attach the Auto Scaling group to the target group of the NLB. Set the minimum capacity to 20 and the desired capacity to 28. Purchase Reserved Instances for 20 instances.

B.

Create a Spot Fleet that has a request type of request. Set the TotalTargetCapacity parameter to 20. Set the DefaultTargetCapacityType parameter to On-Demand. Specify the NLB when creating the Spot Fleet.

C.

Create a Spot Fleet that has a request type of maintain. Set the TotalTargetCapacity parameter to 20. Set the DefaultTargetCapacityType parameter to Spot. Replace the NLB with an Application Load Balancer.

D.

Create an Auto Scaling group. Attach the Auto Scaling group to the target group of the NLB. Set the minimum capacity to 4 and the maximum capacity to 28. Purchase Reserved Instances for four instances.

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Exam Code: SAP-C02
Exam Name: AWS Certified Solutions Architect - Professional
Last Update: Jun 15, 2026
Questions: 674
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