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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment, Provisioning, and Automation | 20% | - Deploy and provision resources consistently
|
| Topic 2: Networking and Content Delivery | 18% | - Optimize and troubleshoot network connectivity and performance
|
| Topic 3: Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Remediate issues and optimize performance
|
| Topic 4: Reliability and Business Continuity | 22% | - Design and implement high availability and fault tolerance
|
| Topic 5: Security and Compliance | 18% | - Enforce security controls and compliance requirements
|
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NEW QUESTION # 128
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: A
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 # 129
A company wants to automate the processing of photos that upload to an Amazon S3 bucket.
A CloudOps engineer must invoke a 2-minute processing workflow immediately when a new photo uploads. The CloudOps engineer must initiate the workflow by using a native S3 notification destination.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Amazon S3 can natively invoke an AWS Lambda function when a new object is created. Because the processing takes only 2 minutes, it is well within the Lambda execution limit, making direct S3-to-Lambda invocation the simplest solution with the least operational overhead.
NEW QUESTION # 130
A CloudOps engineer has many Windows Amazon EC2 instances that need to share a file system between nodes. The CloudOps engineer creates an Amazon EFS file share. After creation of the file share, the CloudOps engineer is having trouble mounting the file share to the EC2 instances.
Which action should the CloudOps engineer take so that the EC2 instances can share the files?
Answer: A
Explanation:
Amazon EFS is a Linux-oriented NFS file system and is not the preferred managed file-share service for Windows workloads. For Windows EC2 instances that need shared file storage, Amazon FSx for Windows File Server is the correct service because it provides a fully managed Windows file system using the SMB protocol and integrates with Microsoft Active Directory. This matches Windows application expectations and avoids forcing Windows instances into an unsuitable NFS-based design. Option C is not the best operational answer because adding NFS support to Windows is not the recommended managed AWS pattern for Windows file sharing. Option D may be relevant to Linux EFS mounting problems, but the issue is service selection for Windows nodes. Therefore, replacing EFS with FSx for Windows File Server is correct.
NEW QUESTION # 131
A company has an application that collects notifications from thousands of alarm systems. Notifications include alarm notifications and information notifications. All notifications are stored in an Amazon Simple Queue Service (Amazon SQS) queue. Amazon EC2 instances in an Auto Scaling group process the messages.
A CloudOps engineer needs to prioritize alarm notifications over information notifications.
Which solution will meet these requirements?
Answer: B
Explanation:
Amazon SQS does not support message prioritization within a single queue. To prioritize certain messages, AWS recommends using multiple queues and processing them in priority order.
By separating alarm notifications into one queue and information notifications into another, the application can poll and process the alarm queue first. This ensures that critical alarm messages are handled immediately, even during high load.
Scaling faster or using SNS fanout does not guarantee priority. DynamoDB streams are unrelated to SQS message ordering.
Therefore, separate queues provide a simple, scalable, and effective prioritization mechanism.
NEW QUESTION # 132
An application uses an Amazon Aurora MySQL DB cluster that includes one Aurora Replica. The application's read performance degrades when there are more than 200 user connections. The number of user connections is approximately 180 on a consistent basis. Occasionally, the number of user connections increases rapidly to more than 200.
A CloudOps engineer must implement a solution that will scale the application automatically as user demand increases or decreases.
Which solution will meet these requirements?
Answer: A
Explanation:
Aurora Auto Scaling can automatically add or remove Aurora Replicas based on target metrics, including average connections across Aurora Replicas. AWS documentation lists "Average connections of Aurora Replicas" as a target metric when adding an auto scaling policy to an Aurora DB cluster. Because performance degrades above 200 connections and baseline usage is around 180, setting a target near 195 allows scaling to begin before the connection count crosses the problem threshold.
NEW QUESTION # 133
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