AWS Certified Professional SAP-C02 Exam Dumps

AWS Certified Solutions Architect - Professional Questions and Answers

Question 41

A company needs to gather data from an experiment in a remote location that does not have internet connectivity. During the experiment, sensors that are connected to a total network will generate 6 TB of data in a preprimary formal over the course of 1 week. The sensors can be configured to upload their data files to an FTP server periodically, but the sensors do not have their own FTP server. The sensors also do not support other protocols. The company needs to collect the data centrally and move lie data to object storage in the AWS Cloud as soon. as possible after the experiment.

Which solution will meet these requirements?

Options:

Order an AWS Snowball Edge Compute Optimized device. Connect the device to the local network. Configure AWS DataSync with a target bucket name, and unload the data over NFS to the device. After the experiment return the device to AWS so that the data can be loaded into Amazon S3.

Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Create a shell script that periodically downloads data from each sensor. After the experiment, return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store [Amazon EBS) volume.

Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Install and configure an FTP server on the EC2 instance. Configure the sensors to upload data to the EC2 instance. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.

Order an AWS Snowcone device. Connect the device to the local network. Configure the device to use Amazon FSx. Configure the sensors to upload data to the device. Configure AWS DataSync on the device to synchronize the uploaded data with an Amazon S3 bucket Return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.

Question 42

A company uses infrastructure as code (IaC) to provision Amazon EC2 instances. The company uses a launch template to implement an EC2 Auto Scaling group to manage traffic increases. The company applies monthly security updates to all EC2 instances in place.

After a recent update that required instance reboots, the Auto Scaling group terminated the instances and launched new, unpatched instances. New instances that the Auto Scaling group launches in response to traffic load are also unpatched. The company must ensure that the Auto Scaling group launches instances that have the latest security patches.

Which combination of solutions will meet this requirement? (Select TWO.)

Options:

Configure the Auto Scaling group termination policy to use the OldestLaunchTemplate setting.

Create a new Auto Scaling group before the next patch maintenance window. Patch and reboot instances in both Auto Scaling groups during the next maintenance window.

Deploy an Application Load Balancer (ALB) in front of the Auto Scaling group. Monitor target group health after instance replacement.

Use AWS Systems Manager to automatically produce patched AMIs. Update the Auto Scaling group launch template. Initiate an instance refresh for the Auto Scaling group.

Deploy a Network Load Balancer (NLB) in front of the Auto Scaling group. Configure termination protection for the instances.

Answer:

C, D

Explanation:

D is required because the only reliable way to ensure newly launched Auto Scaling instances are patched is to make the launch template reference an AMI that already includes the latest security updates (an immutable image approach). AWS Systems Manager can automate building and maintaining patched AMIs (for example, through automated image creation workflows), after which the launch template is updated to the new AMI and the fleet is updated using Instance Refresh. Instance Refresh performs a controlled rolling replacement of instances so that the Auto Scaling group converges to the new AMI baseline.

C complements D by ensuring safe replacement and availability during the refresh/replacement process. Placing an ALB in front of the Auto Scaling group with health checks ensures that only healthy, fully bootstrapped/patched instances receive traffic, and that traffic is drained away from instances being replaced. Monitoring target health confirms the rollout is successful and minimizes risk during patch-driven reboots or instance replacement.

Why the other options are incorrect:

A: A termination policy setting does not ensure new instances are patched. It only affects which instances are terminated first. It does not solve the “launch patched instances” requirement.

B: Running two Auto Scaling groups and continuing in-place patching increases operational overhead and still risks drift and unpatched capacity when scaling occurs outside the maintenance window. It also does not address the core issue: the launch template AMI baseline.

E: NLB + termination protection does not ensure instances are patched at launch. Termination protection can interfere with Auto Scaling’s ability to replace instances, and NLB does not inherently provide the same application-layer health check behavior and deployment safety patterns typically used for rolling replacements (compared to ALB target group health checks).

[References:, AWS Systems Manager Documentation: patching and automation capabilities; creating/maintaining updated images for fleets, Amazon EC2 Auto Scaling Documentation: launch templates, Instance Refresh, and rolling replacement of instances to a new AMI, Elastic Load Balancing Documentation (Application Load Balancer): target groups, health checks, and safe traffic shifting during instance replacement, AWS Well-Architected Framework (Operational Excellence / Reliability): immutable infrastructure patterns, automated fleet updates, and minimizing configuration drift, , , , ]

Question 43

A company has implemented a new security requirement According to the new requirement, the company must scan all traffic from corporate AWS instances in the company ' s VPC for violations of the company ' s security policies. As a result of these scans the company can block access to and from specific IP addresses.

To meet the new requirement, the company deploys a set of Amazon EC2 instances in private subnets to serve as transparent proxies The company installs approved proxy server software on these EC2 instances The company modifies the route tables on all subnets to use the corresponding EC2 instances with proxy software as the default route The company also creates security groupsthat are compliant with the security policies and assigns these security groups to the EC2 instances

Despite these configurations, the traffic of the EC2 instances in their private subnets is not being properly forwarded to the internet.

What should a solutions architect do to resolve this issue?

Options:

Disable source ' destination checks on the EC2 instances that run the proxy software

Add a rule to the security group that is assigned to the proxy EC2 instances to allow all traffic between instances that have this security group Assign this security group to all EC2 instances in the VPC.

Change the VPC ' s DHCP options set Set the DNS server options to point to the addresses of the proxy EC2 instances

Assign one additional elastic network interface to each proxy EC2 instance Ensure that one of these network interfaces has a route to the private subnets Ensure that the other network interface has a route to the internet.

Question 44

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:

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.

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.

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.

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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AWS Certified Professional SAP-C02 Exam Dumps

AWS Certified Solutions Architect - Professional Questions and Answers

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CompTIA

Fortinet

Microsoft

Salesforce