Amazon SOA-C03 Exam Dumps - Preparation Material For Best Result [2026]
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q121-Q126):
NEW QUESTION # 121
A company has a workload that is sending log data to Amazon CloudWatch Logs. One of the fields includes a measure of application latency. A CloudOps engineer needs to monitor the p90 statistic of this field over time.
What should the CloudOps engineer do to meet this requirement?
- A. Create a metric filter on the log data.
- B. Create an Amazon CloudWatch Contributor Insights rule on the log data.
- C. Create a subscription filter on the log data.
- D. Create an Amazon CloudWatch Application Insights rule for the workload.
Answer: A
Explanation:
To analyze and visualize custom statistics such as the p90 latency (90th percentile), a CloudWatch metric must be generated from the log data. The correct method is to create a metric filter that extracts the latency value from each log event and publishes it as a CloudWatch metric.
Once the metric is published, percentile statistics (p90, p95, etc.) can be displayed in CloudWatch dashboards or alarms.
"You can use metric filters to extract numerical fields from log events and publish them as metrics in CloudWatch. CloudWatch supports percentile statistics such as p90 and p95 for these metrics." Contributor Insights (Option A) is for analyzing frequent contributors, not numeric distributions.
Subscription filters (Option C) are used for log streaming, and Application Insights (Option D) provides monitoring of application health but not custom p90 statistics. Hence, Option B is the CloudOps-aligned, minimal-overhead solution for percentile latency monitoring.
NEW QUESTION # 122
A company is storing backups in an Amazon S3 bucket. These backups must not be deleted for at least 3 months after creation.
What should the CloudOps engineer do?
- A. Enable S3 Object Lock on a new S3 bucket in compliance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
- B. Enable S3 Object Lock on a new S3 bucket in governance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
- C. Enable S3 Versioning on the existing S3 bucket. Configure S3 Lifecycle rules to protect the backups.
- D. Configure an IAM policy that denies the s3:DeleteObject action for all users. Three months after an object is written, remove the policy.
Answer: A
Explanation:
Per the AWS Cloud Operations and Data Protection documentation, S3 Object Lock enforces write-once-read- many (WORM) protection on objects for a defined retention period.
There are two modes:
Compliance mode: Even the root user cannot delete or modify objects during the retention period.
Governance mode: Privileged users with special permissions can override lock settings.
For regulatory or audit requirements that prohibit deletion, Compliance mode is the correct choice. When configured with a 3-month retention period, all backup objects are protected from deletion until expiration, ensuring compliance with data retention mandates.
Versioning (Option C) alone does not prevent deletion. IAM-based restrictions (Option A) lack time-based enforcement and require manual intervention. Governance mode (Option D) is less strict and unsuitable for regulatory retention.
Thus, Option B is the correct CloudOps solution for immutable S3 backups.
Reference: AWS Cloud Operations & Storage Governance Guide - Implementing Retention with Amazon S3 Object Lock in Compliance Mode
NEW QUESTION # 123
A CloudOps engineer is troubleshooting an implementation of Amazon CloudWatch Synthetics. The CloudWatch Synthetics results must be sent to an Amazon S3 bucket.
The CloudOps engineer has copied the configuration of an existing canary that runs on a VPC that has an internet gateway attached. However, the CloudOps engineer cannot get the canary to successfully start on a private VPC that has no internet access.
What should the CloudOps engineer do to successfully run the canary on the private VPC?
- A. Ensure that the DNS resolution option and the DNS hostnames option are turned on in the VPC. Create an interface VPC endpoint for CloudWatch. Create a gateway VPC endpoint for Amazon S3. Add the permissions to allow CloudWatch Synthetics to use both endpoints.
- B. Ensure that the DNS resolution option and the DNS hostnames option are turned on in the VPC. Add the synthetics:GetCanaryRuns permission to the VPC. On the S3 bucket, add the IgnorePublicAcls permission to the CloudWatch Synthetics role.
- C. Ensure that the DNS resolution option and the DNS hostnames option are turned off in the VPC. Create a gateway VPC endpoint for Amazon S3. Add the permissions to allow CloudWatch Synthetics to use the S3 endpoint.
- D. Ensure that the DNS resolution option and the DNS hostnames option are turned off in the VPC. Add a security group to the canary to allow outbound traffic on the DNS port. Add the permissions to allow CloudWatch Synthetics to write to the S3 bucket.
Answer: A
Explanation:
CloudWatch Synthetics canaries require connectivity to both CloudWatch and Amazon S3 to function correctly. In a private VPC without internet access, AWS service access must be provided through VPC endpoints.
The canary needs to send metrics, logs, and execution data to CloudWatch, which requires an interface VPC endpoint for CloudWatch. It also needs to store artifacts such as screenshots and HAR files in Amazon S3, which requires a gateway VPC endpoint for S3. Without these endpoints, the canary cannot communicate with required AWS services and will fail to start.
DNS resolution and DNS hostnames must be enabled so the canary can resolve AWS service endpoints to the private IP addresses exposed by the VPC endpoints. This is a mandatory prerequisite for PrivateLink-based service access.
Option B and C incorrectly disable DNS functionality, which breaks service endpoint resolution. Option A includes invalid or irrelevant permissions and does not address private connectivity requirements.
Therefore, enabling DNS support and creating both the CloudWatch interface endpoint and the S3 gateway endpoint is the correct and complete solution.
NEW QUESTION # 124
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking
, and automatic backup enabled. A CloudOps engineer needs to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?
- A. Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
- B. Use backtracking to rewind the existing DB cluster to the desired recovery point.
- C. Create an Aurora Replica. Promote the replica to replace the primary DB instance.
- D. Create an AWS Lambda function to restore an automatic backup to the existing DB cluster.
Answer: B
Explanation:
As documented in AWS Cloud Operations and Database Recovery, Aurora Backtrack allows you to rewind the existing database cluster to a chosen point in time without creating a new cluster. This feature supports fine-grained rollback for accidental data changes, making it ideal for scenarios like table deletions or logical corruption.
Backtracking maintains continuous transaction logs and permits rewinding within a configurable window (up to 72 hours). It does not require creating a new cluster or endpoint, and it preserves the same production environment, fulfilling the operational requirement for in-place recovery.
In contrast, Point-in-Time Recovery (Option D) always creates a new cluster, while replica promotion (Option A) and Lambda restoration (Option B) are unrelated to immediate rollback operations.
Therefore, Option C, using Aurora Backtrack, best meets the requirement for same-cluster restoration and minimal downtime.
Reference: AWS Cloud Operations & Database Management Guide - Section: Using Aurora Backtrack for Fast In-Place Recovery
NEW QUESTION # 125
A CloudOps engineer is troubleshooting an AWS CloudFormation template whereby multiple Amazon EC2 instances are being created. The template is working in us-east-1, but it is failing in us-west-2 with the error code:
AMI [ami-12345678] does not exist
How should the CloudOps engineer ensure that the AWS CloudFormation template is working in every Region?
- A. Copy the source Region's Amazon Machine Image (AMI) to the destination Region and assign it the same ID.
- B. Modify the AWS CloudFormation template by including the AMI IDs in the Mappings section. Refer to the proper mapping within the template for the proper AMI ID.
- C. Edit the AWS CloudFormation template to specify the Region code as part of the fully qualified AMI ID.
- D. Edit the AWS CloudFormation template to offer a drop-down list of all AMIs to the user by using the AWS::EC2::AMI::ImageId control.
Answer: B
Explanation:
AMI IDs are Region-specific. An AMI ID that exists in us-east-1 does not automatically exist in us-west-2, and even copied AMIs receive different AMI IDs in the destination Region. The correct CloudFormation pattern is to define Region-specific AMI IDs in the Mappings section and use Fn::FindInMap with AWS::
Region to select the correct AMI for the deployment Region. Option A is wrong because you cannot assign the same AMI ID in another Region. Option B is invalid because AMI IDs are not globally qualified by adding a Region code. Option C can help users select an AMI manually, but it does not ensure the template automatically works in every Region. Therefore, mappings are the correct infrastructure-as-code solution.
NEW QUESTION # 126
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