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SCS-C02 Übungsfragen: AWS Certified Security - Specialty & SCS-C02 Dateien Prüfungsunterlagen
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Amazon SCS-C02 Prüfungsplan:
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Amazon AWS Certified Security - Specialty SCS-C02 Prüfungsfragen mit Lösungen (Q200-Q205):
200. Frage
A company runs workloads on Amazon EC2 instances. The company needs to continually scan the EC2 instances for software vulnerabilities and unintended network exposure.
Which solution will meet these requirements?
- A. Use Amazon Inspector. Set the scan mode to hybrid scanning.
- B. Use Amazon GuardDuty. Enable the Malware Protection feature.
- C. Use Amazon Inspector. Enable the Malware Protection feature.
- D. Use Amazon GuardDuty. Enable the Runtime Monitoring feature.
Antwort: C
Begründung:
Amazon Inspector offers automated, continuous vulnerability scanning for Amazon EC2 instances. The new version includes Malware Protection, which scans for malicious software as part of its inspection process.
This capability enables both detection of software vulnerabilities and malicious activity (like viruses or rootkits), thus covering both parts of the requirement: vulnerabilities and unintended network exposure.
This falls under Infrastructure Security and aligns with recommended practices for securing compute resources on AWS.
201. Frage
A company's security engineer wants to receive an email alert whenever Amazon GuardDuty, AWS Identity and Access Management Access Analyzer, or Amazon Made generate a high-severity security finding. The company uses AWS Control Tower to govern all of its accounts. The company also uses AWS Security Hub with all of the AWS service integrations turned on.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create an Amazon EventBridge rule with a pattern that matches Security Hub findings events with high severity. Configure the rule to send the findings to a target Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the desired email addresses to the SNS topic.
- B. Set up separate AWS Lambda functions for GuardDuty, 1AM Access Analyzer, and Macie to call each service's public API to retrieve high-severity findings. Use Amazon Simple Notification Service (Amazon SNS) to send the email alerts. Create an Amazon EventBridge rule to invoke the functions on a schedule.
- C. Create an Amazon EventBridge rule with a pattern that matches AWS Control Tower events with high severity. Configure the rule to send the findings to a target Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the desired email addresses to the SNS topic.
- D. Host an application on Amazon EC2 to call the GuardDuty, 1AM Access Analyzer, and Macie APIs.
Within the application, use the Amazon Simple Notification Service (Amazon SNS) API to retrieve high-severity findings and to send the findings to an SNS topic. Subscribe the desired email addresses to the SNS topic.
Antwort: A
Begründung:
The AWS documentation states that you can create an Amazon EventBridge rule with a pattern that matches Security Hub findings events with high severity. You can then configure the rule to send the findings to a target Amazon Simple Notification Service (Amazon SNS) topic. You can subscribe the desired email addresses to the SNS topic. This method is the least operational overhead way to meet the requirements.
References: : AWS Security Hub User Guide
202. Frage
A company uses Amazon Elastic Container Service (Amazon ECS) containers that have the Fargate launch type. The containers run web and mobile applications that are written in Java and Node.js. To meet network segmentation requirements, each of the company's business units deploys applications in its own dedicated AWS account.
Each business unit stores container images in an Amazon Elastic Container Registry (Amazon ECR) private registry in its own account.
A security engineer must recommend a solution to scan ECS containers and ECR registries for vulnerabilities in operating systems and programming language libraries.
The company's audit team must be able to identify potential vulnerabilities that exist in any of the accounts where applications are deployed.
Which solution will meet these requirements?
- A. In each account, update the ECR registry to use Amazon Inspector instead of the default scanning service. Configure Amazon Inspector to forwardvulnerability findings to AWS Security Hub in a central security account. Provide access for the audit team to use Security Hub to review the findings.
- B. In each account, configure AWS Audit Manager to scan the ECS containers and the ECR registry.
Configure Audit Manager to forward vulnerability findings toAWS Security Hub in a central security account. Provide access for the audit team to use Security Hub to review the findings. - C. In each account, configure AWS Config to monitor the configuration of the ECS containers and the ECR registry. Configure AWS Config conformance packs forvulnerability scanning. Create an AWS Config aggregator in a central account to collect configuration and compliance details from all accounts. Provide theaudit team with access to AWS Config in the account where the aggregator is configured.
- D. In each account, configure Amazon GuardDuty to scan the ECS containers and the ECR registry.Configure GuardDuty to forward vulnerability findings to AWS Security Hub in a central security account. Provide access for the audit team to use Security Hub to review the findings.
Antwort: C
Begründung:
Option B: This option meets the requirements of scanning ECS containers and ECR registries for vulnerabilities, and providing a centralized view of the findings for the audit team. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config conformance packs are a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. Conformance packs can help you manage configuration compliance of your AWS resources at scale by using a common framework and packaging model. You can use prebuilt conformance packs for vulnerability scanning, such as CIS Operating System SecurityConfiguration Benchmarks or Amazon Inspector Rules for Linux Instances1.
You can also create custom conformance packs to scan for vulnerabilities in programming language libraries. AWS Config aggregator is a feature that enables you to aggregate configuration and compliance data from multiple accounts and Regions into a single accountand Region2. You can provide access for the audit team to use AWS Config in the account where the aggregator is configured, and view the aggregated data in the AWS Config console or API.
203. Frage
A company has an application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Amazon EC2 Auto Scaling group and are attached to Amazon Elastic Blodfc Store (Amazon EBS) volumes.
A security engineer needs to preserve all forensic evidence from one of the instances.
Which order of steps should the security engineer use to meet this requirement?
- A. Take a memory snapshot of the instance and store the snapshot in an Amazon S3 bucket. Stop the instance. Take an EBS volume snapshot of the instance and store the snapshot in an S3 bucket. Detach the instance from the Auto Scaling group. Deregister the instance from the ALB.
- B. Detach the instance from the Auto Scaling group. Deregister the instance from the ALB. Take an EBS volume snapshot of the instance and store the snapshot in an Amazon S3 bucket. Take a memory snapshot of the instance and store the snapshot in an S3 bucket. Stop the instance
- C. Detach the instance from the Auto Scaling group Deregister the instance from the ALB. Stop the instance. Take a memory snapshot of the instance and store the snapshot in an Amazon S3 bucket. Take an EBS volume snapshot of the instance and store the snapshot in an S3 bucket.
- D. Take an EBS volume snapshot of the instance and store the snapshot in an Amazon S3 bucket. Take a memory snapshot of the instance and store the snapshot in an S3 bucket. Detach the instance from the Auto Scaling group. Deregister the instance from the ALB. Stop the instance.
Antwort: A
Begründung:
The correct answer is B because it preserves the forensic evidence from the instance in the correct order. The first step is to take a memory snapshot of the instance and store it in an S3 bucket, as memory data is volatile and can be lost when the instance is stopped. The second step is to stop the instance, which will prevent any further changes to the EBS volume. The third step is to take an EBS volume snapshot of the instance and store it in an S3 bucket, which will capture the disk state of the instance. The last two steps are to detach the instance from the Auto Scaling group and deregister it from the ALB, which will isolate the instance from the rest of the application.
The other options are incorrect because they do not preserve the forensic evidence in the correct order. Option A takes the EBS volume snapshot before the memory snapshot, which can result in inconsistent data. Option C detaches and deregisters the instance before taking any snapshots, which can affect the availability of the application. Option D stops the instance before taking the memory snapshot, which can cause the loss of memory data.
204. Frage
A company wants to create a log analytics solution for logs generated from its on-premises devices. The logs are collected from the devices onto a server on premises. The company wants to use AWS services to perform near real-time log analysis. The company also wants to store these logs for 365 days for pattern matching and substring search capabilities later.
Which solution will meet these requirements with the LEAST development overhead?
- A. Install Amazon Kinesis Agent on the on-premises server to send the logs to Amazon Data Firehose. Configure Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) as the destination for real-time processing. Store the logs in Amazon OpenSearch Service for pattern matching and substring search. Configure an OpenSearch Service Index State Management (ISM) policy to delete the data after 365 days.
- B. Install Amazon Kinesis Agent on the on-premises server to send the logs to Amazon DynamoDB. Configure an AWS Lambda trigger on DynamoDB streams to perform near real-time log analysis. Export the DynamoDB data to Amazon S3 periodically. Run Amazon Athena queries for pattern matching and substring search. Set up S3 Ufecycle policies to delete the log data after 365 days.
- C. Install Amazon Managed Streaming for Apache Kafka (Amazon MSK) on the on-premises server. Create an MSK cluster to collect the streaming data and analyze the data in real time. Set the data retention period to 365 days to store the logs persistently for pattern matching and substring search.
- D. Use Amazon API Gateway and AWS Lambda to write the logs from the on-premises server to Amazon DynamoDB. Configure a Lambda trigger on DynamoDB streams to perform near real-time log analysis. Run Amazon Athena federated queries on DynamoDB data for pattern matching and substring search. Set up TTL to delete data after 365 days.
Antwort: A
205. Frage
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