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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q133-Q138):

NEW QUESTION # 133
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?

A. Use the Aurora Backtrack feature to rewind the database to a specified time, 2 hours in the past.
B. Perform a point-in-time recovery on the existing database to restore the database to a specified point in time, 2 hours in the past.
C. Create a new Aurora cluster. Choose the Restore data from S3 bucket option. Choose log files up to the failure time 2 hours in the past.
D. Perform a point-in-time recovery and create a new database to restore the database to a specified point in time, 2 hours in the past. Reconfigure the application to use a new database endpoint.

Answer: D

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 # 134
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required.
The RDS-persisted data must be retained for further use, even after the CloudFormation stack is deleted.
How can this be achieved in a reliable and efficient way?

A. Write a script to continue backing up the RDS instance every five minutes.
B. Use the Snapshot Deletion Policy in the CloudFormation template definition of the RDS instance.
C. Create an AWS Lambda function to take a snapshot of the RDS instance, and manually invoke the function before deleting the stack.
D. Create a new CloudFormation template to perform backups of the RDS instance, and run this template before deleting the stack.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes.
Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles-declarative, repeatable, and reliable- and supports efficient lifecycle management of ephemeral development stacks.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Deployment, Provisioning and Automation* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)* AWS Well-Architected Framework - Operational Excellence Pillar

NEW QUESTION # 135
A company plans to migrate several of its high-performance computing (HPC) virtual machines to Amazon EC2. The deployment must minimize network latency and maximize network throughput between the instances.
Which placement group strategy should the CloudOps engineer choose?

A. Deploy the instances in a partition placement group in two Availability Zones.
B. Deploy the instances in a cluster placement group in one Availability Zone.
C. Deploy the instances in a spread placement group in two Availability Zones.
D. Deploy the instances in a partition placement group in one Availability Zone.

Answer: B

Explanation:
Comprehensive Explanation (250-350 words):
Cluster placement groups are specifically designed for workloads that require extremely low latency and high network throughput, such as HPC applications. Instances are placed physically close together within the same Availability Zone, enabling high-bandwidth, low-latency networking.
Partition placement groups are optimized for fault isolation, not network performance. Spread placement groups prioritize availability by distributing instances across distinct hardware, which increases latency.
Because the requirement is performance rather than fault isolation or high availability, a cluster placement group is the optimal choice.

NEW QUESTION # 136
A company uses default settings to create an AWS Lambda function. The function needs to access an Amazon RDS database that is in a private subnet of a VPC. The function has the correct IAM permissions to access the database. The private subnet has appropriate routing configurations and is accessible from within the VPC.
However, the Lambda function is unable to connect to the RDS instance.
What is the likely reason the Lambda function cannot connect to the RDS instance?

A. The security group for the Lambda function does not allow outbound access to the RDS instance.
B. The VPC where the Lambda function is deployed is not peered with the VPC where the RDS instance is deployed.
C. The Lambda function configuration did not deploy the function in the same VPC that contains the RDS instance.
D. The company did not set the RDS instance as the destination for the Lambda function in the function configuration.

Answer: C

Explanation:
By default, a newly created AWS Lambda function is not attached to a customer VPC. In its default configuration, Lambda runs in an AWS-managed network environment and can reach public internet endpoints, but it does not automatically have network-level connectivity into private subnets within a VPC.
Accessing an Amazon RDS instance that is placed in a private subnet requires the Lambda function to be configured for VPC access. This means selecting the target VPC, choosing subnets (typically private subnets with appropriate routing), and associating one or more security groups with the Lambda function's elastic network interfaces (ENIs). Once configured, Lambda creates ENIs in the selected subnets and uses them to communicate with resources such as RDS inside the VPC.
In this scenario, the RDS database is in a private subnet and is reachable from within the VPC, but the Lambda function cannot connect. The most likely cause is that the function was created with default settings and therefore was not deployed into the VPC that contains the database. IAM permissions are not sufficient for network connectivity; IAM controls authorization to call AWS APIs, while VPC attachment and security groups control the network path.
Option A is incorrect because Lambda does not require an "RDS destination" setting; connectivity is established through VPC networking and the database endpoint. Option C is not supported by the prompt; there is no indication that the database is in a different VPC, and the default issue is usually "not in a VPC at all." Option D is less likely because Lambda security groups allow all outbound traffic by default unless explicitly restricted; the more common default failure is lack of VPC configuration.
Therefore, the likely reason is that the Lambda function was not configured to run in the same VPC as the RDS instance.

NEW QUESTION # 137
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?

A. Add an inbound rule to the database's security group. Reference sg-1234abcd as the source.
B. Add an inbound rule to the database's security group. Reference 111122223333/sg-1234abcd as the source.
C. Add an inbound rule to the database's security group. Reference 444455556666/sg-1234abcd as the source.
D. Add an inbound rule to the database's security group. Reference pcx-b04deed9/sg-1234abcd as the source.

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 # 138
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