Free AWS Certified CloudOps Engineer - Associate SOA-C03 Exam Braindumps
AWS Certified CloudOps Engineer - Associate Questions 76–80 (page: 17)

Updated On: 12-Mar-2026

A SysOps administrator needs to give an existing AWS Lambda function access to an existing Amazon S3 bucket. Traffic between the Lambda function and the S3 bucket must not use public IP addresses. The Lambda function has been configured to run in a VPC.

Which solution will meet these requirements?

  1. Configure VPC sharing between the Lambda VPC and the S3 bucket.
  2. Attach a transit gateway to the Lambda VPC to allow the Lambda function to connect to the S3 bucket.
  3. Create a NAT gateway. Associate the NAT gateway with the subnet where the Lambda function is configured to run.
  4. Create an S3 interface endpoint. Change the Lambda function to use the new S3 DNS name.

Answer(s): D

Explanation:

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:

The requirement is that traffic from a VPC-connected Lambda to Amazon S3 must not use public IP

addresses. The AWS-native way to keep traffic private is to use VPC endpoints, which provide private connectivity to supported AWS services without traversing the public internet. Among the options, creating an S3 VPC endpoint is the only approach that satisfies "no public IP addresses" while allowing access to the bucket. Option D is the best match because it explicitly configures an S3 endpoint and directs the Lambda function to use the endpoint-specific DNS name for private routing.

Option C (NAT gateway) is incorrect for this requirement because NAT provides outbound internet access from private subnets and typically uses public IP addressing at the NAT gateway. That violates the intent to avoid public IP paths for S3 traffic. Option A is not applicable because S3 buckets are not placed "inside" a VPC and do not participate in VPC sharing in a way that provides private network paths. Option B (transit gateway) connects VPCs and on-prem networks, but it does not create private service connectivity to S3 by itself; you would still need the correct service endpoint solution for S3 access.

Using a VPC endpoint also aligns with CloudOps best practices: it reduces exposure, simplifies network egress controls, and supports least-privilege access via endpoint policies (where applicable) alongside IAM policies.


Reference:

Amazon VPC User Guide ­ VPC endpoints for AWS services and private connectivity

AWS Lambda Developer Guide ­ Lambda networking in a VPC

Amazon S3 User Guide ­ Accessing S3 privately using VPC endpoints



Optimization]

A company runs thousands of Amazon EC2 instances that are based on the Amazon Linux 2 Amazon Machine Image (AMI). A SysOps administrator must implement a solution to record commands and output from any user that needs an interactive session on one of the EC2 instances. The solution must log the data to a durable storage location. The solution also must provide automated notifications and alarms that are based on the log data.

Which solution will meet these requirements with the MOST operational efficiency?

  1. Configure command session logging on each EC2 instance. Configure the unified Amazon CloudWatch agent to send session logs to Amazon CloudWatch Logs. Set up query filters and alerts by using Amazon Athena.
  2. Require all users to use a central bastion host when they need command line access to an EC2 instance. Configure the unified Amazon CloudWatch agent on the bastion host to send session logs to Amazon CloudWatch Logs. Set up a metric filter and a metric alarm for relevant security findings in CloudWatch Logs.
  3. Require all users to use AWS Systems Manager Session Manager when they need command line access to an EC2 instance. Configure Session Manager to stream session logs to Amazon CloudWatch Logs. Set up a metric filter and a metric alarm for relevant security findings in CloudWatch Logs.
  4. Configure command session logging on each EC2 instance. Require all users to use AWS Systems Manager Run Command documents when they need command line access to an EC2 instance.

    Configure the unified Amazon CloudWatch agent to send session logs to Amazon CloudWatch Logs.
    Set up CloudWatch alarms that are based on Amazon Athena query results.

Answer(s): C

Explanation:

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:

The most operationally efficient solution is C because AWS Systems Manager Session Manager is purpose-built for secure, auditable interactive access to EC2 instances at scale--without managing bastion hosts or distributing SSH keys. Session Manager can be configured to log session activity, including commands and output, to durable destinations such as Amazon CloudWatch Logs (and optionally Amazon S3). This directly satisfies the requirement to record interactive sessions and store logs durably.

For automated notifications and alarms, CloudWatch Logs supports metric filters that transform matching log patterns into CloudWatch metrics. Those metrics can then drive CloudWatch alarms and notifications (for example, via Amazon SNS). This is a standard CloudOps pattern: centralize logs, derive metrics from security-relevant patterns, and alert automatically.

Option A and D require installing and operating agents and building a more complex analytics path (Athena queries for alerting), which is less efficient and introduces more moving parts across thousands of instances. Option B adds a bastion host dependency that becomes an operational burden (scaling, patching, hardening, HA) and a potential choke point. Session Manager reduces these burdens by using SSM Agent already installed, IAM-based access control, and centralized logging/monitoring integrations.


Reference:

AWS Systems Manager User Guide ­ Session Manager and session logging to CloudWatch Logs/S3

Amazon CloudWatch Logs User Guide ­ Metric filters and alarms from log patterns

AWS SysOps Administrator Study Guide ­ Centralized logging, auditing, and operational monitoring



A company asks a SysOps administrator to provision an additional environment for an application in four additional AWS Regions. The application is running on more than 100 Amazon EC2 instances in the us-east-1 Region, using fully configured Amazon Machine Images (AMIs). The company has an

AWS CloudFormation template to deploy resources in us-east-1.

What should the SysOps administrator do to provision the application in the MOST operationally efficient manner?

  1. Copy the AMI to each Region by using the aws ec2 copy-image command. Update the CloudFormation template to include mappings for the copied AMIs.
  2. Create a snapshot of the running instance. Copy the snapshot to the other Regions. Create an AMI from the snapshots. Update the CloudFormation template for each Region to use the new AMI.
  3. Run the existing CloudFormation template in each additional Region based on the success of the template that is used currently in us-east-1.
  4. Update the CloudFormation template to include the additional Regions in the Auto Scaling group.
    Update the existing stack in us-east-1.

Answer(s): A

Explanation:

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:

The most operationally efficient approach is A: copy the AMI to each target Region using copy-image and update the CloudFormation template to reference the correct AMI IDs per Region (commonly via Mappings or parameters). AMIs are regional resources, so an AMI built in us-east-1 cannot be launched directly in other Regions without copying. The copy-image operation is the standard, supported method to replicate an AMI across Regions while preserving the image configuration and backing snapshots in the destination Region.

Once AMIs exist in each Region, CloudFormation can be executed in each Region using the same template logic. Adding mappings for AMI IDs keeps the deployment consistent and repeatable, aligning with Infrastructure as Code practices and minimizing manual steps.

Option B is more work than necessary because copying snapshots and re-creating AMIs adds extra steps and increases the chance of inconsistency. Option C is incomplete because the template will fail or launch incorrect resources if it references an AMI ID that does not exist in the target Region. Option D is not feasible because an Auto Scaling group is a regional construct and cannot span multiple Regions from a single stack update in us-east-1.


Reference:

Amazon EC2 User Guide ­ Copy an AMI across Regions (copy-image) and AMI regional scope

AWS CloudFormation User Guide ­ Mappings/parameters for Region-specific values

AWS SysOps Administrator Study Guide ­ Multi-Region provisioning and automation best practices



A company has created a new video-on-demand (VOD) application. The application runs on a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB). The company configured an Amazon CloudFront distribution and set the ALB as the origin. Because of increasing application demand, the company wants to move all video files to a central Amazon S3 bucket.

A SysOps administrator needs to ensure that video files can be cached at edge locations after the company migrates the files to Amazon S3.

Which solution will meet this requirement?

  1. Configure CloudFront to send the X-Forwarded-For header to the origin and to redirect video requests to Amazon S3 instead of the ALB.
  2. Configure a new CloudFront cache behavior to route to Amazon S3 as a new origin, based on matching a URL path pattern.
  3. Configure URL signing in the CloudFront distribution by using a custom policy. Ensure that video files are accessed through signed URLs only.
  4. Configure a CloudFront origin group. Specify the required HTTP status codes to direct connection attempts to a secondary origin.

Answer(s): B

Explanation:

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:

To ensure video files are cached at CloudFront edge locations after migrating the files to Amazon S3, CloudFront must be able to fetch those video objects directly from S3 as an origin. The most operationally straightforward pattern is to add S3 as a second origin and create a separate cache behavior that routes requests for video paths (for example, /video/* or /*.mp4) to the S3 origin.

With this configuration, CloudFront caches the S3-served objects at edge locations according to the cache policy/headers, while the existing ALB origin continues serving dynamic application paths. This isolates static media delivery from the application tier and improves performance by maximizing cache hits at the edge.

Option A is not how CloudFront origin selection works: CloudFront does not "redirect" to S3 based on headers; it selects an origin per behavior. Option C (signed URLs) is an access-control mechanism and does not, by itself, ensure the objects are retrieved from S3 or cached correctly. Option D (origin groups) is for origin failover (primary/secondary) and does not provide path-based routing to ensure videos come from S3.


Reference:

Amazon CloudFront Developer Guide ­ Origins and Cache Behaviors (path pattern routing)

Amazon S3 User Guide ­ Using S3 as an origin for CloudFront

AWS SysOps Administrator Study Guide ­ Content delivery patterns with CloudFront



A company hosts an encrypted Amazon S3 bucket in the ap-southeast-2 Region. Users from the eu- west-2 Region access the S3 bucket through the internet. The users from eu-west-2 need faster transfers to and from the S3 bucket for large files.

Which solution will meet these requirements?

  1. Create an S3 access point in eu-west-2 to use as the destination for S3 replication from ap- southeast-2. Ensure all users switch to the new S3 access point.
  2. Create an Amazon Route 53 hosted zone with a geolocation routing policy. Choose the Alias to S3 website endpoint option. Specify the S3 bucket that is in ap-southeast-2 as the source bucket.
  3. Create a new S3 bucket in eu-west-2. Copy all contents from ap-southeast-2 to the new bucket in eu-west-2. Create an S3 access point, and associate it with both buckets. Ensure users use the new S3 access point.
  4. Configure and activate S3 Transfer Acceleration on the S3 bucket. Use the new S3 acceleration endpoint's domain name for access.

Answer(s): D

Explanation:

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:

For users in eu-west-2 transferring large files to/from an S3 bucket in ap-southeast-2 over the public internet, S3 Transfer Acceleration is designed to improve performance by leveraging the AWS global edge network. With Transfer Acceleration enabled, users access the bucket via the acceleration endpoint. Requests enter AWS at the nearest edge location and then traverse the AWS backbone network to the bucket's Region, which typically reduces latency variability and can improve throughput for long-distance transfers.

Option A is incorrect because access points do not "replicate destinations" in the way described, and an access point in another Region does not move data closer by itself. Option B is incorrect because Route 53 DNS routing does not accelerate data transfers; it only resolves names and (in this case) also incorrectly references S3 website endpoints (not appropriate for general large file transfer APIs). Option C is not valid as written because a single S3 access point cannot be "associated with both buckets," and maintaining two buckets introduces synchronization/consistency overhead; it's not the least-friction acceleration approach for direct internet users.


Reference:

Amazon S3 User Guide ­ Transfer Acceleration

AWS SysOps Administrator Study Guide ­ S3 performance optimization

AWS Well-Architected Framework ­ Performance Efficiency considerations for data transfer



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