SOA-C03 Test Pattern & Pdf SOA-C03 Version

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q33-Q38):

NEW QUESTION # 33
A company has an application that uses an Amazon EFS file system. A recent incident that involved an application logic error corrupted several files. The company wants to improve its ability to back up and recover the EFS file system. The company must be able to recover individual files rapidly.
Which solution meets these requirements MOST cost-effectively?

Answer: A

Explanation:
AWS Backup is the managed service for backing up and restoring Amazon EFS file systems. It supports backup vaults and restore workflows without requiring a second live EFS file system. This is more cost- effective than maintaining a duplicate EFS file system in another Region. AWS documentation explains that AWS Backup performs incremental backups of EFS file systems, reducing duplicate backup storage and improving cost efficiency. For file-level recovery, a partial restore job can restore selected files or directories rather than restoring the entire file system. Amazon DLM is primarily used for EBS snapshots, not EFS file- level backup management. S3 Glacier retrieval is not the best fit for rapid individual file recovery because retrieval latency and restore workflow are unsuitable for quick operational recovery. Therefore, AWS Backup with partial restore is the right answer.


NEW QUESTION # 34
A company has an AWS CloudFormation template that includes an AWS::EC2::Instance resource and a custom resource (Lambda function). The Lambda function fails because it runs before the EC2 instance is launched.
Which solution will resolve this issue?

Answer: C

Explanation:
The AWS Cloud Operations and Infrastructure-as-Code documentation specifies that when using AWS CloudFormation, resources are created in parallel by default unless explicitly ordered using DependsOn.
If a custom resource (Lambda) depends on another resource (like an EC2 instance) to exist before execution, a DependsOn attribute must be added to enforce creation order. This ensures the EC2 instance is launched and available before the custom resource executes its automation logic.
Updating the service token (Option B) doesn't affect order of execution. The cfn-response module (Option C) handles callback communication but not sequencing. Fn::If (Option D) is for conditional creation, not dependency control.
Therefore, Option A is correct - adding a DependsOn attribute guarantees that CloudFormation provisions the EC2 instance before executing the Lambda custom resource.


NEW QUESTION # 35
A company plans to run a public web application on Amazon EC2 instances behind an Elastic Load Balancing (ELB) load balancer. The company's security team wants to protect the website by using AWS Certificate Manager (ACM) certificates. The load balancer must automatically redirect any HTTP requests to HTTPS.
Which solution will meet these requirements?

Answer: A

Explanation:
An Application Load Balancer (ALB) operates at Layer 7 (HTTP/HTTPS) and supports advanced routing features, including HTTP-to-HTTPS redirection. To meet the requirement of protecting traffic with ACM certificates and automatically redirecting HTTP requests, the ALB must be configured with two listeners.
The correct design is to create an HTTP listener on port 80 and an HTTPS listener on port 443. The SSL/TLS certificate from AWS Certificate Manager is attached to the HTTPS listener. A listener rule on port 80 redirects incoming HTTP requests to HTTPS on port 443, ensuring all client connections are encrypted.
Option A is invalid because HTTPS cannot operate on port 80. Option C uses TCP listeners, which do not support HTTP-level redirects. Option D uses a Network Load Balancer, which operates at Layer 4 and does not support HTTP redirects.
Therefore, Option B is the only solution that satisfies all requirements using AWS-native features with minimal complexity.


NEW QUESTION # 36
A company runs thousands of Amazon EC2 instances that are based on the Amazon Linux 2 Amazon Machine Image (AMI). A SysOps administrator must implement a solution to record commands and output from any user that needs an interactive session on one of the EC2 instances. The solution must log the data to a durable storage location. The solution also must provide automated notifications and alarms that are based on the log data.
Which solution will meet these requirements with the MOST operational efficiency?

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The most operationally efficient solution is C because AWS Systems Manager Session Manager is purpose- built for secure, auditable interactive access to EC2 instances at scale-without managing bastion hosts or distributing SSH keys. Session Manager can be configured to log session activity, including commands and output, to durable destinations such as Amazon CloudWatch Logs (and optionally Amazon S3). This directly satisfies the requirement to record interactive sessions and store logs durably.
For automated notifications and alarms, CloudWatch Logs supports metric filters that transform matching log patterns into CloudWatch metrics. Those metrics can then drive CloudWatch alarms and notifications (for example, via Amazon SNS). This is a standard CloudOps pattern: centralize logs, derive metrics from security-relevant patterns, and alert automatically.
Option A and D require installing and operating agents and building a more complex analytics path (Athena queries for alerting), which is less efficient and introduces more moving parts across thousands of instances.
Option B adds a bastion host dependency that becomes an operational burden (scaling, patching, hardening, HA) and a potential choke point. Session Manager reduces these burdens by using SSM Agent already installed, IAM-based access control, and centralized logging/monitoring integrations.
References:
AWS Systems Manager User Guide - Session Manager and session logging to CloudWatch Logs/S3 Amazon CloudWatch Logs User Guide - Metric filters and alarms from log patterns AWS SysOps Administrator Study Guide - Centralized logging, auditing, and operational monitoring


NEW QUESTION # 37
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket.
During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company's operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future.
The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team's email address to the SNS topic.
What should the company do next to meet these requirements?

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to alert before throttling occurs. For a DynamoDB table in provisioned capacity mode, throttling happens when demand approaches or exceeds provisioned throughput. CloudWatch provides direct table metrics such as ConsumedReadCapacityUnits and ProvisionedReadCapacityUnits (and related utilization signals). Creating an alarm on ConsumedReadCapacityUnits with a threshold set close to the table' s provisioned read capacity provides an early warning that the table is nearing its limit-before actual throttling prevents reads. The alarm can publish directly to the existing SNS topic so the operations team is notified proactively.
Option C and D focus on detecting throttling after it occurs by matching throttling exceptions in logs. That is reactive and violates "before throttled." Option B (auto scaling) may reduce the likelihood of throttling, but it does not directly satisfy the alerting requirement and "scaling events" notifications are not a reliable proxy for
"approaching throttle" (and may not fire early enough depending on scaling configuration). The simplest, most direct CloudOps approach is a CloudWatch alarm on consumption nearing provisioned capacity.
References:
Amazon DynamoDB Developer Guide - Provisioned capacity, throttling behavior, CloudWatch metrics Amazon CloudWatch User Guide - Alarms and SNS notifications AWS SysOps Administrator Study Guide - Monitoring DynamoDB and capacity planning


NEW QUESTION # 38
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