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[General] Discount SOA-C03 Code, SOA-C03 Valid Real Exam

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【General】 Discount SOA-C03 Code, SOA-C03 Valid Real Exam

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q18-Q23):NEW QUESTION # 18
A company runs a large number of Amazon EC2 instances for internal departments. The company needs to track the costs of its existing AWS resources by department.
What should a SysOps administrator do to meet this requirement?
  • A. Activate all of the AWS generated cost allocation tags for the account.
  • B. Schedule an AWS Lambda function to run the AWS Pricing Calculator for EC2 usage on a recurring schedule.
  • C. Use the AWS Trusted Advisor dashboard to export EC2 cost reports.
  • D. Apply user-defined tags to the instances through Tag Editor. Activate these tags for cost allocation.
Answer: D
Explanation:
Cost allocation tags enable you to categorize and track costs by department or any other organizational dimension. AWS supports two tag types: AWS-generated tags and user-defined tags. To map costs to departments, user-defined cost allocation tags must be created and activated for cost reporting, and then associated with the EC2 instances. This allows Cost Explorer and related billing reports to group and filter costs by the department identifiers defined by the organization.

NEW QUESTION # 19
A company asks a SysOps administrator to provision an additional environment for an application in four additional AWS Regions. The application is running on more than 100 Amazon EC2 instances in the us-east-
1 Region, using fully configured Amazon Machine Images (AMIs). The company has an AWS CloudFormation template to deploy resources in us-east-1.
What should the SysOps administrator do to provision the application in the MOST operationally efficient manner?
  • A. Update the CloudFormation template to include the additional Regions in the Auto Scaling group.Update the existing stack in us-east-1.
  • B. Run the existing CloudFormation template in each additional Region based on the success of the template that is used currently in us-east-1.
  • C. Copy the AMI to each Region by using the aws ec2 copy-image command. Update the CloudFormation template to include mappings for the copied AMIs.
  • D. Create a snapshot of the running instance. Copy the snapshot to the other Regions. Create an AMI from the snapshots. Update the CloudFormation template for each Region to use the new AMI.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The most operationally efficient approach is A: copy the AMI to each target Region using copy-image and update the CloudFormation template to reference the correct AMI IDs per Region (commonly via Mappings or parameters). AMIs are regional resources, so an AMI built in us-east-1 cannot be launched directly in other Regions without copying. The copy-image operation is the standard, supported method to replicate an AMI across Regions while preserving the image configuration and backing snapshots in the destination Region.
Once AMIs exist in each Region, CloudFormation can be executed in each Region using the same template logic. Adding mappings for AMI IDs keeps the deployment consistent and repeatable, aligning with Infrastructure as Code practices and minimizing manual steps.
Option B is more work than necessary because copying snapshots and re-creating AMIs adds extra steps and increases the chance of inconsistency. Option C is incomplete because the template will fail or launch incorrect resources if it references an AMI ID that does not exist in the target Region. Option D is not feasible because an Auto Scaling group is a regional construct and cannot span multiple Regions from a single stack update in us-east-1.
References:
Amazon EC2 User Guide - Copy an AMI across Regions (copy-image) and AMI regional scope AWS CloudFormation User Guide - Mappings/parameters for Region-specific values AWS SysOps Administrator Study Guide - Multi-Region provisioning and automation best practices

NEW QUESTION # 20
A company has a microservice that runs on a set of Amazon EC2 instances. The EC2 instances run behind an Application Load Balancer (ALB).
A CloudOps engineer must use Amazon Route 53 to create a record that maps the ALB URL to example.com
.
Which type of record will meet this requirement?
  • A. An AAAA record
  • B. An A record
  • C. A CNAME record
  • D. An alias record
Answer: D
Explanation:
An alias record is the recommended Route 53 record type to map domain names (e.g., example.com) to AWS-managed resources such as an Application Load Balancer. Alias records are extension types of A or AAAA records that support AWS resources directly, providing automatic DNS integration and no additional query costs.
AWS documentation states:
"Use alias records to map your domain or subdomain to an AWS resource such as an Application Load Balancer, CloudFront distribution, or S3 website endpoint." A and AAAA records are used for static IP addresses, not load balancers. CNAME records cannot be used at the root domain (e.g., example.com). Thus, Option C is correct as it meets CloudOps networking best practices for scalable, managed DNS resolution to ALBs.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 5:
Networking and Content Delivery* Amazon Route 53 Developer Guide - Alias Records* AWS Well- Architected Framework - Reliability and Performance Efficiency Pillars* Elastic Load Balancing - Integrating with Route 53

NEW QUESTION # 21
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. Increase the ElastiCache TTL value.
  • B. Add another node to the ElastiCache cluster.
  • C. Migrate to a new ElastiCache cluster with larger nodes.
  • D. Decrease the ElastiCache TTL value.
Answer: C
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.
Reference: AWS Cloud Operations & Performance Optimization Guide - Reducing Evictions and Scaling Amazon ElastiCache Clusters

NEW QUESTION # 22
A medical research company uses an Amazon Bedrock powered AI assistant with agents and knowledge bases to provide physicians quick access to medical study protocols. The company needs to generate audit reports that contain user identities, usage data for Bedrock agents, access data for knowledge bases, and interaction parameters.
Which solution will meet these requirements?
  • A. Use AWS CloudTrail to log API events from generative AI workloads. Store the events in CloudTrail Lake. Use SQL-like queries to generate reports.
  • B. Use AWS CloudTrail to capture generative AI application logs. Stream the logs to Amazon Managed Service for Apache Flink. Use SQL queries to generate reports.
  • C. Use Amazon CloudWatch to log API events from generative AI workloads. Send the events to an Amazon S3 bucket. Use Amazon Athena queries to generate reports.
  • D. Use Amazon CloudWatch to capture generative AI application logs. Stream the logs to Amazon OpenSearch Service. Use an OpenSearch dashboard visualization to generate reports.
Answer: A
Explanation:
As per AWS Cloud Operations, Bedrock, and Governance documentation, AWS CloudTrail is the authoritative service for capturing API activity and audit trails across AWS accounts. For Amazon Bedrock
, CloudTrail records all user-initiated API calls, including interactions with agents, knowledge bases, and generative AI model parameters.
Using CloudTrail Lake, organizations can store, query, and analyze CloudTrail events directly without needing to export data. CloudTrail Lake supports SQL-like queries for generating audit and compliance reports, enabling the company to retrieve information such as user identity, API usage, timestamp, model or agent ID, and invocation parameters.
In contrast, CloudWatch focuses on operational metrics and log streaming, not API-level identity data.
OpenSearch or Flink would add unnecessary complexity and cost for this use case.
Thus, the AWS-recommended CloudOps best practice is to leverage CloudTrail with CloudTrail Lake to maintain auditable, queryable API activity for Bedrock workloads, fulfilling governance and compliance requirements.
Reference: AWS Cloud Operations & Governance Guide - Section: Auditing and Governance for Generative AI Workloads Using AWS CloudTrail and CloudTrail Lake

NEW QUESTION # 23
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