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NEW QUESTION # 295
A highly regulated company has a policy that DevOps engineers should not log in to their Amazon EC2 instances except in emergencies. It a DevOps engineer does log in the security team must be notified within
15 minutes of the occurrence.
Which solution will meet these requirements'?
Answer: D
Explanation:
https://aws.amazon.com/blogs/security/how-to-monitor-and-visualize-failed-ssh-access-attempts-to-amazon- ec2-linux-instances/
NEW QUESTION # 296
A company runs its container workloads in AWS App Runner. A DevOps engineer manages the company's container repository in Amazon Elastic Container Registry (Amazon ECR).
The DevOps engineer must implement a solution that continuously monitors the container repository. The solution must create a new container image when the solution detects an operating system vulnerability or language package vulnerability.
Which solution will meet these requirements?
Answer: D
Explanation:
Explanation
The solution that meets the requirements is to use EC2 Image Builder to create a container image pipeline, use Amazon ECR as the target repository, turn on enhanced scanning on the ECR repository, create an Amazon EventBridge rule to capture an Inspector2 finding event, and use the event to invoke the image pipeline.
Re-upload the container to the repository.
This solution will continuously monitor the container repository for vulnerabilities using enhanced scanning, which is a feature of Amazon ECR that provides detailed information and guidance on how to fix security issues found in your container images. Enhanced scanning uses Inspector2, a security assessment service that integrates with Amazon ECR and generates findings for any vulnerabilities detected in your images. You can use Amazon EventBridge to create a rule that triggers an action when an Inspector2 finding event occurs. The action can be to invoke an EC2 Image Builder pipeline, which is a service that automates the creation of container images. The pipeline can use the latest patches and updates to build a new container image and upload it to the same ECR repository, replacing the vulnerable image.
The other options are not correct because they do not meet all the requirements or use services that are not relevant for the scenario.
Option B is not correct because it uses Amazon GuardDuty Malware Protection, which is a feature of GuardDuty that detects malicious activity and unauthorized behavior on your AWS accounts and resources.
GuardDuty does not scan container images for vulnerabilities, nor does it integrate with Amazon ECR or EC2 Image Builder.
Option C is not correct because it uses basic scanning on the ECR repository, which only provides a summary of the vulnerabilities found in your container images. Basic scanning does not use Inspector2 or generate findings that can be captured by Amazon EventBridge. Moreover, basic scanning does not provide guidance on how to fix the vulnerabilities.
Option D is not correct because it uses AWS Systems Manager Compliance, which is a feature of Systems Manager that helps you monitor and manage the compliance status of your AWS resources based on AWS Config rules and AWS Security Hub standards. Systems Manager Compliance does not scan container images for vulnerabilities, nor does it integrate with Amazon ECR or EC2 Image Builder.
NEW QUESTION # 297
A company that uses electronic patient health records runs a fleet of Amazon EC2 instances with an Amazon Linux operating system. The company must continuously ensure that the EC2 instances are running operating system patches and application patches that are in compliance with current privacy regulations. The company uses a custom repository to store application patches.
A DevOps engineer needs to automate the deployment of operating system patches and application patches.
The DevOps engineer wants to use both the default operating system patch repository and the custom patch repository.
Which solution will meet these requirements with the LEAST effort?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The operating system (Amazon Linux) uses yum for package management. To use both the default and a custom repository, the simplest method is to add the custom repository configuration file under /etc/yum.repos.
d/ using the yum-config-manager CLI, and enable it. This allows the system to access both repositories during patching automatically.
This approach requires minimal setup and effort and leverages the existing yum patching mechanisms.
Option A and D involve managing multiple patch baselines in Systems Manager Patch Manager, which does not natively support custom repositories - it relies on the underlying OS package manager.
Option B (Direct Connect) is not necessary unless network connectivity is an issue.
Thus, option C meets the requirement with the least effort.
Reference:
Managing Custom Repositories on Amazon Linux:"To add a custom yum repository, add a repo file in /etc
/yum.repos.d/ and enable it using yum-config-manager."(Amazon Linux Repository Management) AWS Systems Manager Patch Manager:"Patch Manager uses the OS package manager, so custom repositories must be configured at the OS level."(AWS Patch Manager)
NEW QUESTION # 298
A DevOps engineer has developed an AWS Lambda function The Lambda function starts an AWS CloudFormation drift detection operation on all supported resources for a specific CloudFormation stack The Lambda function then exits Its invocation The DevOps engineer has created an Amazon EventBrdge scheduled rule that Invokes the Lambda function every hour. An Amazon Simple Notification Service (Amazon SNS) topic already exists In the AWS account. The DevOps engineer has subscribed to the SNS topic to receive notifications The DevOps engineer needs to receive a notification as soon as possible when drift is detected in this specific stack configuration.
Which solution Will meet these requirements?
Answer: A
Explanation:
Explanation
A comprehensive and detailed explanation is:
Option A is incorrect because EventBridge rules cannot filter events based on the message body or attributes of the target service. Therefore, configuring an SNS subscription filter policy to match the CloudFormation stack will not work. The SNS topic will receive all events from the EventBridge rule, regardless of the stack name or drift status.
Option B is incorrect because it introduces unnecessary complexity and cost. Creating a second Lambda function to query the CloudFormation API for the drift detection results is redundant, since CloudFormation already publishes drift detection events to EventBridge. Moreover, invoking two Lambda functions every hour will incur more charges than invoking one.
Option C is incorrect because GuardDuty does not provide drift detection for CloudFormation stacks.
GuardDuty is a threat detection service that monitors for malicious activity and unauthorized behavior in AWS accounts and workloads. It does not monitor or report on configuration changes or drifts in CloudFormation stacks.
Option D is correct because it leverages AWS Config and its managed rule for drift detection. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. It can detect configuration changes and drifts in CloudFormation stacks using the cloudformation-stack-drift-detection-check managed rule. This rule triggers an AWS Config event when a stack drifts from its expected template configuration. By creating a second EventBridge rule that reacts to this event for the specific stack, the DevOps engineer can configure the SNS topic as a target and receive a notification as soon as possible when drift is detected.
References:
AWS Config
Amazon SNS subscription filter policies
Amazon EventBridge rules
NEW QUESTION # 299
A company deploys an API by using an Application Load Balancer (ALB) that targets an AWS Lambda function. The API takes a list of tasks as an input and typically processes the tasks in 40 seconds. The API is CPU intensive and performs writes to an Amazon Aurora PostgreSQL DB cluster. The API also performs frequent large-scale Amazon S3 object PUT requests to the same prefix of an S3 bucket.
The API usage and the number of input tasks is increasing significantly. The increased demand is causing the API response time to increase, and some API requests fail because the database connection quota is being exceeded. A DevOps engineer must improve the performance of the API.
Which combination of solutions will meet this requirement? (Select THREE.)
Answer: A,B,F
Explanation:
The failures come from three separate pressure points: database connection exhaustion, CPU-bound Lambda execution, and high-volume S3 writes to one prefix. RDS Proxy is designed to improve database connection management, scalability, availability, and security, so it addresses the Aurora connection quota issue.
Increasing Lambda memory is also correct because AWS allocates CPU proportionally with memory; CPU- bound functions can improve dramatically when memory is increased. For S3, AWS documents at least 3,500 PUT/COPY/POST/DELETE requests per second per partitioned prefix and notes that write performance can be scaled by writing across multiple prefixes. NLB in front of ALB adds no value, API Gateway does not solve the listed bottlenecks, and an Aurora read replica does not help a write-heavy workload.
NEW QUESTION # 300
......
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