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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified CloudOps Engineer - Associate |
| Exam Number: | SOA-C03 |
| Passing Score: | 720 (scaled score 100โ1000) |
| Available Languages: | Japanese, Korean, English, Simplified Chinese |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple choice, Multiple response |
| Related Certifications: | AWS Certified SysOps Administrator - Associate (SOA-C02, retired) |
| Exam Price: | 150 USD |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| Exam Duration: | 130 minutes |
| Recommended Training: | AWS Training and Certification AWS Official Exam Guide |
| Exam Registration: | Pearson VUE Scheduling AWS Certification Registration |
| Sample Questions: | Amazon SOA-C03 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended 1 year of experience deploying, managing, and operating workloads on AWS |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/sysops-administrator-associate-03/sysops-administrator-associate-03.html |
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NEW QUESTION # 47
A company runs an application on Amazon EC2 instances. The application stores and retrieves data from an Amazon Aurora PostgreSQL database. A developer accidentally drops a table from the database, which causes application errors. Two hours later, a CloudOps engineer needs to recover the data and make the application function again.
Which solution will meet this requirement?
Answer: B
Explanation:
Aurora Backtrack is not supported for Aurora PostgreSQL, so option A is not valid here.
Point-in-time recovery (PITR) for Aurora always restores to a new cluster, not in place. You choose a time (e.g., just before the table was dropped, 2 hours ago), Aurora creates a new cluster at that state, and you then:
- Either point the application to the new cluster endpoint, or
- Copy the recovered table/data back to the original cluster.
NEW QUESTION # 48
An Amazon EC2 instance is running an application that uses Amazon Simple Queue Service (Amazon SQS) queues. A CloudOps engineer must ensure that the application can read, write, and delete messages from the SQS queues.
Which solution will meet these requirements in the MOST secure manner?
Answer: C
Explanation:
Comprehensive Explanation (250-350 words):
The most secure way for an EC2 instance to access AWS services is by using an IAM role attached to the instance. IAM roles eliminate the need for long-term credentials, which reduces the risk of credential leakage and simplifies credential rotation.
Following the principle of least privilege, the IAM policy attached to the role should grant only the permissions required: sqs:SendMessage, sqs:ReceiveMessage, and sqs:DeleteMessage. Granting broader permissions such as sqs:* violates least privilege and increases security risk.
Options A and B rely on IAM users and static credentials, which are not recommended for applications running on EC2. Option C grants excessive permissions.
Therefore, attaching an EC2 IAM role with only the required SQS permissions is the most secure solution.
NEW QUESTION # 49
A company's application servers in AWS account 111122223333 use a security group sg-
1234abcd. They need to access a database hosted in account 444455556666. The VPCs are connected using a VPC peering connection (pcx-b04deed9).
A CloudOps engineer must configure the database's security group to allow new connections only from the application servers.
What should the engineer do?
Answer: A
Explanation:
According to AWS Cloud Operations and VPC Networking documentation, when VPCs are peered, security groups can reference peer account security groups directly to restrict traffic between them.
This feature allows specifying the security group ID (sg-1234abcd) from the source account (111122223333) in the target database's security group inbound rule. AWS automatically validates that the VPCs are connected through an existing VPC peering connection and that mutual permissions are properly configured.
You do not prefix the security group ID with the account or peering connection (Options A and B), and using the destination account ID (Option D) is incorrect because it represents the database side, not the source.
Hence, the correct configuration is Option C, which references the application servers' security group directly for precise, least-privilege access control.
NEW QUESTION # 50
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?
Answer: 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.
References:
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
NEW QUESTION # 51
A company deploys AWS infrastructure in a VPC that has an internet gateway. The VPC has public subnets and private subnets. An Amazon RDS for MySQL DB instance is deployed in a private subnet. An AWS Lambda function uses the same private subnet and connects to the DB instance to query data.
A developer modifies the Lambda function to require the function to publish messages to an Amazon Simple Queue Service (Amazon SQS) queue. After these changes, the Lambda function times out when it tries to publish messages to the SQS queue.
Which solutions will resolve this issue? (Select TWO.)
Answer: A,C
Explanation:
When an AWS Lambda function is configured to run inside a VPC, it loses default internet access. All outbound traffic must be explicitly routed. In this scenario, the Lambda function resides in a private subnet and successfully connects to Amazon RDS, but it times out when attempting to publish messages to Amazon SQS. This indicates a lack of network connectivity to the SQS service endpoint.
There are two valid AWS-supported ways to restore connectivity. The first is to deploy a NAT gateway in a public subnet and update the private subnet route table to send outbound internet-bound traffic (0.0.0.0/0) to the NAT gateway. This allows the Lambda function to reach public AWS service endpoints, including SQS.
The second option is to create an interface VPC endpoint (AWS PrivateLink) for Amazon SQS. This enables private, secure connectivity to SQS directly within the AWS network without traversing the internet. This approach is often preferred for security-sensitive workloads and removes dependency on NAT gateways.
Option A would break database connectivity because the Lambda function must remain in the VPC to access the private RDS instance. Option B does not address outbound connectivity to SQS. Option E is incorrect because Amazon SQS does not support gateway endpoints; only interface endpoints are supported.
Therefore, deploying a NAT gateway or creating an SQS interface endpoint resolves the timeout issue.
NEW QUESTION # 52
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