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| Section | Weight | Objectives |
|---|---|---|
| Security and Compliance | 18% | - Enforce security controls and compliance requirements
|
| Deployment, Provisioning, and Automation | 20% | - Automate operational tasks and workflows
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Remediate issues and optimize performance
|
| Networking and Content Delivery | 18% | - Configure and maintain AWS networking services
|
| Reliability and Business Continuity | 22% | - Design and implement high availability and fault tolerance
|
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NEW QUESTION # 172
A company is attempting to manage its costs in the AWS Cloud. A CloudOps engineer needs specific company-defined tags that are assigned to resources to appear on the billing report.
What should the CloudOps engineer do to meet this requirement?
Answer: A
Explanation:
Company-defined resource tags must be activated as user-defined cost allocation tags before they can appear in AWS billing reports such as the Cost and Usage Report. After activation, AWS can include those tag keys in billing data for cost tracking and allocation.
NEW QUESTION # 173
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?
Answer: C
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 # 174
A CloudOps engineer needs to quickly resolve issues in an application that runs in a production environment on Amazon EC2 instances. The application uses an Amazon RDS database. To resolve the issues, the CloudOps engineer needs a centralized solution to collect and query logs for both the EC2 instances and the RDS database. Which solution will meet these requirements?
Answer: A
Explanation:
The CloudWatch agent can collect and forward EC2 instance application or system logs to CloudWatch Logs. Amazon RDS can also export supported database logs to CloudWatch Logs.
CloudWatch Logs Insights then provides a centralized way to search and query both log sources for faster troubleshooting.
NEW QUESTION # 175
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: B
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.
NEW QUESTION # 176
A CloudOps engineer is responsible for a legacy, CPU-heavy application. The application can only be scaled vertically. Currently, the application is deployed on a single t3.large Amazon EC2 instance. The system is showing 90% CPU usage and significant performance latency after a few minutes. What change should be made to alleviate the performance problem?
Answer: D
Explanation:
The application is CPU-heavy, shows sustained high CPU utilization, and can only scale vertically. Therefore, the correct action is to move to a larger or more appropriate compute- optimized EC2 instance family. The current t3.large is a burstable general-purpose instance.
Burstable instances can experience performance limitations if CPU credits are depleted after sustained high CPU usage, which matches the "after a few minutes" latency pattern. Provisioned IOPS helps storage-bound workloads, not CPU-bound workloads. Adding more t3.large instances is horizontal scaling, which the question explicitly says the application cannot use. Reserved Instances reduce cost commitment but do not improve performance. A compute-optimized instance provides stronger sustained CPU capacity and is the correct performance optimization for a vertically scaled CPU-heavy workload.
NEW QUESTION # 177
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