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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Networking and Content Delivery | 18% | - Implement and manage networking configurations
|
| Topic 2: Reliability and Business Continuity | 22% | - Implement high availability and fault tolerance
|
| Topic 3: Deployment, Provisioning, and Automation | 22% | - Implement automation for operational tasks
|
| Topic 4: Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Implement metrics, alarms, and filters by using AWS monitoring and logging services
|
| Topic 5: Security and Compliance | 16% | - Implement data protection
|
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NEW QUESTION # 234
A company runs an application on an Amazon EC2 instance. The application uses a MySQL database. The EC2 instance has a General Purpose SSD (gp3) Amazon EBS volume attached.
The company wants to perform load testing using a new MySQL database created from an EBS snapshot of the production instance. The new database must perform as similarly as possible to production. Which solution will meet these requirements in the LEAST amount of time?
Answer: D
Explanation:
Amazon EBS snapshots are stored in Amazon S3, and standard restores can experience higher latency until data blocks are fully retrieved. Fast Snapshot Restore (FSR) eliminates this latency by ensuring that all blocks are immediately available at full performance.
Because the production environment uses a General Purpose SSD (gp3) volume, creating the test database on the same volume type ensures performance characteristics are as similar as possible. Using FSR significantly reduces restore time and allows load testing to begin immediately.
Provisioned IOPS volumes would introduce different performance characteristics and unnecessary cost. Standard snapshot restore would delay testing due to gradual block hydration.
Therefore, using FSR with the same EBS volume type is the fastest and most accurate solution.
NEW QUESTION # 235
A company runs an application on hundreds of Amazon EC2 instances in three Availability Zones. The application calls a third-party API over the public internet. A CloudOps engineer must provide the third party with a list of static IP addresses so that the third party can allow traffic from the application.
Which solution will meet these requirements?
Answer: C
Explanation:
A NAT gateway uses an Elastic IP address for outbound internet access from private subnets. By creating one NAT gateway in a public subnet in each Availability Zone and routing private subnet outbound traffic through the NAT gateway in the same Availability Zone, the company gets a small, stable list of public source IP addresses to give to the third party. This is also highly available because each Availability Zone has its own NAT gateway path. Option B is impossible because a single Elastic IP address cannot be associated with hundreds of instances simultaneously. Option C is wrong because Network Load Balancers handle inbound traffic distribution, not outbound internet NAT for API calls. Option D is operationally poor and does not provide a scalable centralized static egress pattern.
NEW QUESTION # 236
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?
Answer: A
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 CloudOps Documents / Study Guide):
* 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 # 237
A company has a critical serverless application that uses multiple AWS Lambda functions. Each Lambda function generates 1 GB of log data daily in its own Amazon CloudWatch Logs log group. The company's security team asks for a count of application errors, grouped by type, across all of the log groups.
What should a CloudOps engineer do to meet this requirement?
Answer: C
Explanation:
CloudWatch Logs Insights is purpose-built for interactive querying and analysis across log data that is stored in CloudWatch Logs. It supports selecting multiple log groups at once (including many Lambda log groups), filtering events to match error patterns, extracting fields, and aggregating results. The requirement is to produce a count of application errors grouped by type across all log groups, which aligns directly with Logs Insights capabilities.
With Logs Insights, a CloudOps engineer can query all relevant Lambda log groups, parse or extract an "error type" field from structured JSON logs (or use pattern parsing for unstructured logs), and then aggregate using the stats command with count() grouped by the parsed error type field. This approach is fast to implement, requires no data pipeline, and scales well for large volumes because Logs Insights is optimized for CloudWatch Logs data. It also supports time-range selection so the security team can request daily or incident- window reporting.
Option B is incorrect because CloudWatch Logs "search" is a basic filtering feature and does not provide the same structured aggregation and grouping features as Logs Insights for large-scale, cross-log-group analytics.
Option C (Athena) would require exporting logs to Amazon S3 (for example, via subscription filters, Kinesis Data Firehose, or scheduled exports) and maintaining a schema and partitions, which adds operational overhead not required here. Option D is not applicable because CloudWatch log data is not queried through Amazon RDS, and using an RDS database for log analytics would introduce significant ingestion and operational complexity.
Therefore, running a CloudWatch Logs Insights query using stats and count() to group errors by type across all Lambda log groups is the correct solution.
NEW QUESTION # 238
A company is migrating its production file server to AWS. All data stored on the file server must remain accessible if an Availability Zone becomes unavailable or during system maintenance. Users must access the file server through the SMB protocol and manage permissions by using Windows ACLs.
Which solution will meet these requirements?
Answer: B
Explanation:
Amazon FSx for Windows File Server is a fully managed native Windows file system that supports SMB, Windows authentication, and Windows ACLs. The Multi-AZ deployment option automatically replicates data synchronously across Availability Zones and provides automatic failover with minimal downtime.
This architecture ensures continuous availability during AZ failures or maintenance events without manual intervention. Users experience consistent access and permissions through SMB, fully meeting the stated requirements.
Storage Gateway introduces on-premises dependencies. DFS Replication increases complexity and recovery time. Therefore, FSx for Windows Multi-AZ is the correct solution.
NEW QUESTION # 239
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