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Amazon SOA-C03 Exam Syllabus Topics:

Topic
Details

Topic 1

Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.

Topic 2

Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.

Topic 3

Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.

Topic 4

Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.

Topic 5

Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q92-Q97):

NEW QUESTION # 92
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 an Amazon CloudWatch Application Insights rule for the workload.
B. Create a subscription filter on the log data.
C. Create a metric filter on the log data.
D. Create an Amazon CloudWatch Contributor Insights rule on the log data.

Answer: C

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.
AWS documentation states:
"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.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1:
Monitoring and Logging* Amazon CloudWatch Logs - Metric Filters* AWS Well-Architected Framework - Operational Excellence Pillar

NEW QUESTION # 93
A CloudOps engineer is examining the following AWS CloudFormation template:
AWSTemplateFormatVersion: '2010-09-09'
Description: 'Creates an EC2 Instance'
Resources:
EC2Instance:
Type: AWS::EC2::Instance
Properties:
ImageId: ami-79fd7eee
InstanceType: m5n.large
SubnetId: subnet-1abc3d3fg
PrivateDnsName: ip-10-24-34-0.ec2.internal
Tags:
- Key: Name
Value: !Sub "${AWS::StackName} Instance"
Why will the stack creation fail?

A. The Parameters section of the CloudFormation template was omitted.
B. The VPC was not specified in the CloudFormation template.
C. The Outputs section of the CloudFormation template was omitted.
D. The PrivateDnsName cannot be set from a CloudFormation template.

Answer: D

Explanation:
The PrivateDnsName attribute of an EC2 instance is automatically assigned by AWS at launch time and is a read-only property. CloudFormation does not allow users to specify this value manually.
Including PrivateDnsName in the EC2 instance properties causes validation to fail during stack creation.
Outputs and Parameters sections are optional, and the VPC is implicitly defined through the subnet ID.
Therefore, attempting to set PrivateDnsName results in stack creation failure.

NEW QUESTION # 94
An ecommerce company uses Amazon ElastiCache (Redis OSS) for caching product queries.
The CloudOps engineer observes a large number of cache evictions in Amazon CloudWatch metrics and needs to reduce evictions while retaining popular data in cache.
Which solution meets these requirements with the least operational overhead?

A. Decrease the ElastiCache TTL value.
B. Migrate to a new ElastiCache cluster with larger nodes.
C. Increase the ElastiCache TTL value.
D. Add another node to the ElastiCache cluster.

Answer: B

Explanation:
According to the AWS Cloud Operations and ElastiCache documentation, cache evictions occur when the cache runs out of memory and must remove items to make space for new data.
To reduce evictions and retain frequently accessed items, AWS recommends increasing the total available memory -- either by scaling up to larger node types or scaling out by adding shards/nodes. Migrating to a cluster with larger nodes is the simplest and most efficient solution because it immediately expands capacity without architectural changes.
Adjusting TTL (Options B and C) controls expiration timing, not memory allocation. Adding a single node (Option A) may help, but redistributing data requires resharding, introducing more complexity.
Thus, Option D provides the lowest operational overhead and ensures high cache hit rates by increasing total cache memory.

NEW QUESTION # 95
A company uses Amazon ElastiCache (Redis OSS) to cache application data. A CloudOps engineer must implement a solution to increase the resilience of the cache. The solution also must minimize the recovery time objective (RTO).
Which solution will meet these requirements?

A. Enable automatic backups. Restore the backups when necessary.
B. Replace ElastiCache (Redis OSS) with ElastiCache (Memcached).
C. Create an Amazon EventBridge rule to initiate a backup every hour. Restore the backup when necessary.
D. Create a read replica in a second Availability Zone. Enable Multi-AZ for the ElastiCache (Redis OSS) replication group.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
For high availability and fast failover, ElastiCache for Redis supports replication groups with Multi-AZ and automatic failover. CloudOps guidance states that a primary node can be paired with one or more replicas across multiple Availability Zones; if the primary fails, Redis automatically promotes a replica to primary in seconds, thereby minimizing RTO. This architecture maintains in-memory data continuity without waiting for backup restore operations. Backups (Options B and D) provide durability but require restore and re-warm procedures that increase RTO and may impact application latency. Switching engines (Option A) to Memcached does not provide Redis replication/failover semantics and would not inherently improve resilience for this use case. Therefore, creating a read replica in a different AZ and enabling Multi-AZ with automatic failover is the prescribed CloudOps pattern to increase resilience and achieve the lowest practical RTO for Redis caches.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Reliability and Business Continuity* Amazon ElastiCache for Redis - Replication Groups, Multi-AZ, and Automatic Failover* AWS Well-Architected Framework - Reliability Pillar

NEW QUESTION # 96
A CloudOps engineer creates a new VPC that includes a public subnet and a private subnet. The CloudOps engineer successfully launches 11 Amazon EC2 instances in the private subnet. The CloudOps engineer attempts to launch one more EC2 instance in the same subnet but receives an error stating that not enough free IP addresses are available.
What must the CloudOps engineer do to deploy more EC2 instances?

A. Edit the private subnet to extend across a second Availability Zone.
B. Assign additional Elastic IP addresses to the private subnet.
C. Edit the private subnet to change the CIDR block to /27.
D. Create a new private subnet to hold the required EC2 instances.

Answer: D

Explanation:
Comprehensive Explanation (250-350 words):
Each subnet in a VPC has a fixed CIDR range that determines how many private IP addresses are available.
AWS reserves five IP addresses per subnet, reducing the usable address count. Once the available IP addresses are exhausted, no more instances can be launched in that subnet.
AWS does not allow changing the CIDR block of an existing subnet. Therefore, Option A is invalid. Option B does not increase the number of IP addresses; Availability Zones are properties of subnets, not expansions of their CIDR ranges. Option C is incorrect because Elastic IP addresses are public IPs and do not increase the number of private IP addresses available in a subnet.
The only viable solution is to create a new subnet with a larger or additional CIDR range and deploy additional EC2 instances there. This approach aligns with AWS VPC design principles and is the standard method for handling IP exhaustion.

NEW QUESTION # 97
......

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