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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified CloudOps Engineer - Associate |
| Exam Number: | SOA-C03 |
| Available Languages: | Japanese, Simplified Chinese, Korean, English |
| Exam Duration: | 130 minutes |
| Related Certifications: | AWS Certified SysOps Administrator - Associate (SOA-C02, retired) |
| Passing Score: | 720 (scaled score 100โ1000) |
| Exam Price: | 150 USD |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple response, Multiple choice |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| 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 # 161
A company operates compute resources in a VPC and in the company's on-premises data center. The company already has an AWS Direct Connect connection between the VPC and the on-premises data center.
A CloudOps engineer needs to ensure that Amazon EC2 instances in the VPC can resolve DNS names for hosts in the on-premises data center.
Which solution will meet this requirement with the LEAST amount of ongoing maintenance?
Answer: B
Explanation:
Amazon Route 53 Resolver outbound endpoints enable Amazon VPC resources to forward DNS queries to DNS servers that are outside of AWS, such as on-premises DNS servers. Because the company already has AWS Direct Connect in place, DNS queries can be routed privately from the VPC to the on-premises DNS infrastructure without using the public internet.
By creating an outbound endpoint and configuring forwarding rules for the on-premises domains, EC2 instances in the VPC can resolve DNS names dynamically using the existing authoritative DNS servers. This approach requires minimal ongoing maintenance because DNS records continue to be managed centrally in the on-premises DNS system.
Manually populating a private hosted zone or /etc/hosts files would require constant updates and does not scale. Reverse DNS forwarding alone does not solve forward name resolution.
Therefore, using Route 53 Resolver outbound endpoints is the correct solution.
NEW QUESTION # 162
An application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The application takes up to 2 minutes to populate a local cache after the application is started. The application reports as healthy in the target group health check a few seconds after starting.
A CloudOps engineer observes that after some of the instances are rebooted, the instances receive an equal share of the traffic immediately after each instance reports as healthy. The application needs to receive a gradually increasing share of the traffic while the application cache is populated.
Which solution will meet this requirement?
Answer: C
Explanation:
The slow start feature of an ALB target group (slow_start.duration_seconds) is specifically designed to let new or newly healthy targets ramp up gradually, giving them a smaller, increasing share of traffic over a defined period. Setting it to 120 seconds allows each instance to warm its local cache during that time instead of receiving a full share of requests immediately, which matches the 2-minute cache warm-up requirement.
NEW QUESTION # 163
A company uses an Amazon Simple Queue Service (Amazon SQS) queue and Amazon EC2 instances in an Auto Scaling group with target tracking for a web application. The company collects the ASGAverageNetworkIn metric but notices that instances do not scale fast enough during peak traffic. There are a large number of SQS messages accumulating in the queue.
A CloudOps engineer must reduce the number of SQS messages during peak periods.
Which solution will meet this requirement?
Answer: C
Explanation:
According to the AWS Cloud Operations and Auto Scaling documentation, scaling applications that consume Amazon SQS messages should be driven by queue backlog per instance, not by general system metrics such as network traffic or CPU.
The correct approach is to calculate a custom metric using CloudWatch metric math that divides the SQS metric ApproximateNumberOfMessagesVisible by the number of active EC2 instances in the Auto Scaling group. This "backlog per instance" value represents the average number of messages waiting to be processed by each instance.
Then, the CloudOps engineer can create a target tracking policy that automatically scales out or in based on maintaining a desired backlog threshold. This approach ensures dynamic, workload-driven scaling behavior that reacts in near real time to message volume.
Step and simple scaling (Options C and D) require manual thresholds and do not automatically balance the load per instance.
Thus, Option B-using CloudWatch metric math to define queue backlog per instance for target tracking-is the most effective and AWS-recommended CloudOps practice.
Reference: AWS Cloud Operations & Scaling Guide - Scaling Based on Amazon SQS Queue Backlog Per Instance
NEW QUESTION # 164
A CloudOps engineer has created an AWS Service Catalog portfolio and shared it with a second AWS account in the company, managed by a different CloudOps engineer.
Which action can the CloudOps engineer in the second account perform?
Answer: C
Explanation:
Per the AWS Cloud Operations and Service Catalog documentation, when a portfolio is shared across AWS accounts, the recipient account imports the shared portfolio.
The recipient CloudOps engineer cannot modify the original products or their configurations but can:
* Add products from the imported portfolio into their local portfolios for deployment,
* Control end-user access in the recipient account, and
* Manage local constraints or permissions.
However, the recipient cannot edit, delete, or reconfigure the shared products (Options B, C, and D). The source (owner) account retains full administrative control over products, launch roles, and lifecycle policies.
This model aligns with AWS CloudOps principles of centralized governance with distributed self-service deployment across multiple accounts.
Thus, Option A is correct-imported portfolios allow the recipient to add products to a local portfolio but not alter the shared configuration.
Reference: AWS Cloud Operations & Governance Guide - Managing Shared AWS Service Catalog Portfolios Across Multiple Accounts
NEW QUESTION # 165
A company runs custom statistical analysis software on a cluster of Amazon EC2 instances. The software is highly sensitive to network latency between nodes, although network throughput is not a limitation.
Which solution will minimize network latency?
Answer: B
Explanation:
The AWS Cloud Operations and Compute documentation explains that placement groups control how EC2 instances are physically arranged within AWS data centers to optimize network performance.
Among the available placement strategies:
* Cluster placement groups place instances physically close together within a single Availability Zone, connected through high-bandwidth, low-latency networking (ideal for tightly coupled, HPC, or distributed workloads).
* Spread placement groups distribute instances across distinct racks or Availability Zones for fault tolerance, increasing latency.
* Partition placement groups separate instances into partitions for isolation, not latency reduction.
Therefore, to minimize latency for workloads such as computational clusters, the CloudOps engineer should use a cluster placement group. This placement ensures single-digit microsecond latency and enhanced packet rate performance between instances.
Elastic IPs (Option B) do not influence internal networking. Jumbo frames (Option C) can marginally improve throughput but do not reduce propagation latency. Spread placement (Option D) increases distance, worsening latency.
Hence, Option A - using a cluster placement group - delivers the lowest possible network latency and is AWS's best-practice design for HPC-style clusters.
Reference: AWS Cloud Operations & Compute Optimization Guide - Optimizing EC2 Networking with Cluster Placement Groups for Low Latency Workloads
NEW QUESTION # 166
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