Amazon SAP-C02 Online Practice
Questions and Exam Preparation
SAP-C02 Exam Details
Exam Code
:SAP-C02
Exam Name
:AWS Certified Solutions Architect - Professional (SAP-C02)
Certification
:Amazon Certifications
Vendor
:Amazon
Total Questions
:761 Q&As
Last Updated
:May 25, 2026
Amazon SAP-C02 Online Questions &
Answers
Question 191:
A company has a photo sharing social networking application. To provide a consistent experience for users, the company performs some image processing on the photos uploaded by users before publishing on the application. The image processing is implemented using a set of Python libraries.
The current architecture is as follows:
The image processing Python code runs in a single Amazon EC2 instance and stores the processed images in an Amazon S3 bucket named ImageBucket. The front-end application, hosted in another bucket, loads the images from ImageBucket to display to users.
With plans for global expansion, the company wants to implement changes in its existing architecture to be able to scale for increased demand on the application and reduce management complexity as the application scales.
Which combination of changes should a solutions architect make? (Select TWO.)
A. Place the image processing EC2 instance into an Auto Scaling group. B. Use AWS Lambda to run the image processing tasks. C. Use Amazon Rekognition for image processing. D. Use Amazon CloudFront in front of ImageBucket. E. Deploy the applications in an Amazon ECS cluster and apply Service Auto Scaling.
B. Use AWS Lambda to run the image processing tasks. D. Use Amazon CloudFront in front of ImageBucket.
A company is running a web application with On-Demand Amazon EC2 instances in Auto Scaling groups that scale dynamically based on custom metrics After extensive testing, the company determines that the m5.2xlarge instance size is optimal for the workload Application data is stored in db.r4.4xlarge Amazon RDS instances that are confirmed to be optimal. The traffic to the web application spikes randomly during the day.
What other cost-optimization methods should the company implement to further reduce costs without impacting the reliability of the application?
A. Double the instance count in the Auto Scaling groups and reduce the instance size to m5.large B. Reserve capacity for the RDS database and the minimum number of EC2 instances that are constantly running. C. Reduce the RDS instance size to db.r4.xlarge and add five equivalent^ sized read replicas to provide reliability. D. Reserve capacity for all EC2 instances and leverage Spot Instance pricing for the RDS database.
B. Reserve capacity for the RDS database and the minimum number of EC2 instances that are constantly running.
Explanation
People are being confused by the term 'reserve capacity'. This is not the same as an on-demand capacity reservation. This article by AWS clearly states that by 'reserving capacity' you are reserving the instances and reducing your costs. https://aws.amazon.com/aws-cost-management/aws-cost-optimization/reserved-instances/
Question 193:
A company is building a hybrid environment that includes servers in an on-premises data center and in the AWS Cloud. The company has deployed Amazon EC2 instances in three VPCs. Each VPC is in a different AWS Region. The company has established an AWS Direct Connect connection to the data center from the Region that is closest to the data center.
The company needs the servers in the on-premises data center to have access to the EC2 instances in all three VPCs. The servers in the on-premises data center also must have access to AWS public services.
Which combination of steps will meet these requirements with the LEAST cost? (Select TWO.)
A. Create a Direct Connect gateway in the Region that is closest to the data center. Attach the Direct Connect connection to the Direct Connect gateway. Use the B. Direct Connect gateway to connect the VPCs in the other two Regions. C. Set up additional Direct Connect connections from the on-premises data center to the other two Regions. D. Create a private VIE. Establish an AWS Site-to-Site VPN connection over the private VIF to the VPCs in the other two Regions. E. Create a public VIF. Establish an AWS Site-to-Site VPN connection over the public VIF to the VPCs in the other two Regions. F. Use VPC peering to establish a connection between the VPCs across the Regions. Create a private VIF with the existing Direct Connect connection to connect to the peered VPCs.
A. Create a Direct Connect gateway in the Region that is closest to the data center. Attach the Direct Connect connection to the Direct Connect gateway. Use the E. Create a public VIF. Establish an AWS Site-to-Site VPN connection over the public VIF to the VPCs in the other two Regions.
Explanation
A Direct Connect gateway allows you to connect multiple VPCs across different Regions to a Direct Connect connection1. A public VIF allows you to access AWS public services such as EC21. A Site-to-Site VPN connection over the public VIF provides encryption and redundancy for the traffic between the on-premises data center and the VPCs2. This solution is cheaper than setting up additional Direct Connect connections or using a private VIF with VPC peering.
Question 194:
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?
A. 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. 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. C. 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. D. 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.
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.
Explanation
The company should use AWS IoT Greengrass to deploy the ML model to the local server and provide local feedback to the factory workers. AWS IoT Greengrass is a service that extends AWS cloud capabilities to local devices, allowing
them to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks1. AWS IoT Greengrass also supports ML inference at the edge, enabling
devices to run ML models locally without requiring internet connectivity2. The other options are not correct because:
Setting up an Amazon Kinesis video stream from each IP camera to AWS would not work if the factory's internet connectivity is down. It would also incur unnecessary costs and latency to stream video data to the cloud and back. Ordering an
AWS Snowball device would not be a scalable or cost-effective solution for deploying the ML model. AWS Snowball is a service that provides physical devices for data transfer and edge computing, but it is not designed for continuous
operation or frequent updates3. Deploying Amazon Monitron devices on each IP camera would not work because Amazon Monitron is a service that monitors the condition and performance of industrial equipment using sensors and machine learning, not cameras4.
A company has an internal application running on AWS that is used to track and process shipments in the company's warehouse. Currently, after the system receives an order, it emails the staff the information needed to ship a package. Once the package is shipped, the staff replies to the email and the order is marked as shipped.
The company wants to stop using email in the application and move to a serverless application model.
Which architecture solution meets these requirements?
A. Use AWS Batch to configure the different tasks required lo ship a package. Have AWS Batch trigger an AWS Lambda function that creates and prints a shipping label. Once that label is scanned. as it leaves the warehouse, have another Lambda function move the process to the next step in the AWS Batch job.B. B. When a new order is created, store the order information in Amazon SQS. Have AWS Lambda check the queue every 5 minutes and process any needed work. When an order needs to be shipped, have Lambda print the label in the warehouse. Once the label has been scanned, as it leaves the warehouse, have an Amazon EC2 instance update Amazon SOS. C. Update the application to store new order information in Amazon DynamoDB. When a new order is created, trigger an AWS Step Functions workflow, mark the orders as "in progress," and print a package label to the warehouse. Once the label has been scanned and fulfilled, the application will trigger an AWS Lambda function that will mark the order as shipped and complete the workflow. D. Store new order information in Amazon EFS. Have instances pull the new information from the NFS and send that information to printers in the warehouse. Once the label has been scanned, as it leaves the warehouse, have Amazon API Gateway call the instances to remove the order information from Amazon EFS.
C. Update the application to store new order information in Amazon DynamoDB. When a new order is created, trigger an AWS Step Functions workflow, mark the orders as "in progress," and print a package label to the warehouse. Once the label has been scanned and fulfilled, the application will trigger an AWS Lambda function that will mark the order as shipped and complete the workflow.
Explanation
Question 196:
A scientific organization requires the processing of text and picture data stored in an Amazon S3 bucket. The data is gathered from numerous radar stations during a mission's live, time-critical phase. The data is uploaded by the radar stations to the source S3 bucket. The data is preceded with the identification number of the radar station.
In a second account, the business built a destination S3 bucket. To satisfy a compliance target, data must be transferred from the source S3 bucket to the destination S3 bucket. Replication is accomplished by using an S3 replication rule that covers all items in the source S3 bucket.
A single radar station has been recognized as having the most precise data. At this radar station, data replication must be completed within 30 minutes of the radar station uploading the items to the source S3 bucket.
What actions should a solutions architect take to ensure that these criteria are met?
A. Set up an AWS DataSync agent to replicate the prefixed data from the source S3 bucket to the destination S3 bucket. Select to use at available bandwidth on the task, and monitor the task to ensure that it is in the TRANSFERRING status. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to trigger an alert if this status changes. B. In the second account, create another S3 bucket to receive data from the radar station with the most accurate data Set up a new replication rule for this new S3 bucket to separate the replication from the other radar stations Monitor the maximum replication time to the destination. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to trigger an alert when the time exceeds the desired threshold C. Enable Amazon S3 Transfer Acceleration on the source S3 bucket, and configure the radar station with the most accurate data to use the new endpoint Monitor the S3 destination bucket's TotalRequestLatency metric Create an Amazon EventBridge (Amazon CloudWatch Events) rule to trigger an alert if this status changes D. Create a new S3 replication rule on the source S3 bucket that filters for the keys that use the prefix of the radar station with the most accurate data Enable S3 Replication Time Control (S3 RTC) Monitor the maximum replication time to the destination Create an Amazon EventBridge (Amazon CloudWatch Events) rule to trigger an alert when the time exceeds the desired threshold
D. Create a new S3 replication rule on the source S3 bucket that filters for the keys that use the prefix of the radar station with the most accurate data Enable S3 Replication Time Control (S3 RTC) Monitor the maximum replication time to the destination Create an Amazon EventBridge (Amazon CloudWatch Events) rule to trigger an alert when the time exceeds the desired threshold
How should EC2 instances in AWS synchronize their clocks with an on-premises atomic clock NTP server, with the least administrative overhead?
A. Configure a DHCP options set with the on-prem NTP server. B. Use a custom AMI with Amazon Time Sync. C. Deploy a 3rd-party NTP server from Marketplace. D. Create an IPsec VPN tunnel to sync over Direct Connect.
A. Configure a DHCP options set with the on-prem NTP server.
Explanation
Option A is the most lightweight and scalable approach. By updating the VPC'sDHCP options set, you automatically configure all EC2 instances to use your on-premises NTP server. No extra software or infrastructure is required.
Question 198:
A company needs to migrate its customer transactions database from on premises to AWS. The database resides on an Oracle DB instance that runs on a Linux server. According to a new security requirement, the company must rotate the database password each year.
Which solution will meet these requirements with the LEAST operational overhead?
A. Convert the database to Amazon DynamoDB by using the AWS Schema Conversion Tool (AWS SCT). Store the password in AWS Systems Manager Parameter Store. Create an Amazon CloudWatch alarm to invoke an AWS Lambda function for yearly password rotation. B. Migrate the database to Amazon RDS for Oracle. Store the password in AWS Secrets Manager. Turn on automatic rotation. Configure a yearly rotation schedule. C. Migrate the database to an Amazon EC2 instance. Use AWS Systems Manager Parameter Store to keep and rotate the connection string by using an AWS Lambda function on a yearly schedule D. Migrate the database to Amazon Neptune by using the AWS Schema Conversion Tool {AWS SCT). Create an Amazon CloudWatch alarm to invoke an AWS Lambda function for yearly password rotation.
B. Migrate the database to Amazon RDS for Oracle. Store the password in AWS Secrets Manager. Turn on automatic rotation. Configure a yearly rotation schedule.
Explanation
Question 199:
A company has an on-premises Microsoft SOL Server database that writes a nightly 200 GB export to a local drive. The company wants to move the backups to more robust cloud storage on Amazon S3. The company has set up a 10 Gbps AWS Direct Connect connection between the on-premises data center and AWS.
Which solution meets these requirements MOST cost-effectively?
A. Create a new S3 bucket. Deploy an AWS Storage Gateway file gateway within the VPC that Is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to the new SMB file share. B. Create an Amazon FSx for Windows File Server Single-AZ file system within the VPC that is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to an SMB file share on the Amazon FSx file system. Enable nightly backups. C. Create an Amazon FSx for Windows File Server Multi-AZ file system within the VPC that is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to an SMB file share on the Amazon FSx file system. Enable nightly backups. D. Create a new S3 bucket. Deploy an AWS Storage Gateway volume gateway within the VPC that Is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to the new SMB file share on the volume gateway, and automate copies of this data to an S3 bucket.
A. Create a new S3 bucket. Deploy an AWS Storage Gateway file gateway within the VPC that Is connected to the Direct Connect connection. Create a new SMB file share. Write nightly database exports to the new SMB file share.
A company is running a tone-of-business (LOB) application on AWS to support its users The application runs in one VPC. with a backup copy in a second VPC in a different AWS Region for disaster recovery The company has a single AWS Direct Connect connection between its on-premises network and AWS The connection terminates at a Direct Connect gateway
All access to the application must originate from the company's on-premises network, and traffic must be encrypted in transit through the use of Psec. The company is routing traffic through a VPN tunnel over the Direct Connect connection to provide the required encryption.
A business continuity audit determines that the Direct Connect connection represents a potential single point of failure for access to the application The company needs to remediate this issue as quickly as possible.
Which approach will meet these requirements?
A. Order a second Direct Connect connection to a different Direct Connect location. Terminate the second Direct Connect connection at the same Direct Connect gateway. B. Configure an AWS Site-to-Site VPN connection over the internet Terminate the VPN connection at a virtual private gateway in the secondary Region C. Create a transit gateway Attach the VPCs to the transit gateway, and connect the transit gateway to the Direct Connect gateway Configure an AWS Site-to-Site VPN connection, and terminate it at the transit gateway D. Create a transit gateway. Attach the VPCs to the transit gateway, and connect the transit gateway to the Direct Connect gateway. Order a second Direct Connect connection, and terminate it at the transit gateway.
C. Create a transit gateway Attach the VPCs to the transit gateway, and connect the transit gateway to the Direct Connect gateway Configure an AWS Site-to-Site VPN connection, and terminate it at the transit gateway
Explanation
Create a transit gateway. Attach the VPCs to the transit gateway, and connect the transit gateway to the Direct Connect gateway. Configure an AWS Site-to- Site VPN connection, and terminate it at the transit gateway https://
All access to the application must originate from the company's on-premises network and traffic must be encrypted in transit through the use of IPsec. = need to use VPN.
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