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[General] New SCS-C02 Dumps Ppt - Valid SCS-C02 Test Blueprint

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【General】 New SCS-C02 Dumps Ppt - Valid SCS-C02 Test Blueprint

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Amazon SCS-C02 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Infrastructure Security: Aspiring AWS Security specialists are trained to implement and troubleshoot security controls for edge services, networks, and compute workloads under this topic. Emphasis is placed on ensuring resilience and mitigating risks across AWS infrastructure. This section aligns closely with the exam's focus on safeguarding critical AWS services and environments.
Topic 2
  • Data Protection: AWS Security specialists learn to ensure data confidentiality and integrity for data in transit and at rest. Topics include lifecycle management of data at rest, credential protection, and cryptographic key management. These capabilities are central to managing sensitive data securely, reflecting the exam's focus on advanced data protection strategies.
Topic 3
  • Management and Security Governance: This topic teaches AWS Security specialists to develop centralized strategies for AWS account management and secure resource deployment. It includes evaluating compliance and identifying security gaps through architectural reviews and cost analysis, essential for implementing governance aligned with certification standards.
Topic 4
  • Security Logging and Monitoring: This topic prepares AWS Security specialists to design and implement robust monitoring and alerting systems for addressing security events. It emphasizes troubleshooting logging solutions and analyzing logs to enhance threat visibility.
Topic 5
  • Identity and Access Management: The topic equips AWS Security specialists with skills to design, implement, and troubleshoot authentication and authorization mechanisms for AWS resources. By emphasizing secure identity management practices, this area addresses foundational competencies required for effective access control, a vital aspect of the certification exam.

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Amazon AWS Certified Security - Specialty Sample Questions (Q76-Q81):NEW QUESTION # 76
A company is running workloads on AWS. The workloads are in separate AWS accounts for development, testing, and production. All the company's developers can access the development account. A subset of the developers can access the testing account and the production account.
The company is spending too much time managing individual credentials for every developer across every environment. A security engineer must implement a more scalable solution that the company can use when a developer needs different access. The solution must allow developers to access resources across multiple accounts. The solution also must minimize credential sharing.
Which solution will meet these requirements?
  • A. Use AWS Identity and Access Management Access Analyzer to identity the permissions that the developers need on each account. Configure 1AM Access Analyzer to automatically provision the correct access for each developer.
  • B. Create I AM roles in the testing account and production account. Add a policy that allows the sts:AssumeRole action to the roles. Create 1AM roles in the development account for the developers who have access to the testing and production accounts. Add these roles to the trust policy on the new roles in the testing and production accounts.
  • C. Create an Amazon Simple Workflow Service (Amazon SWF) workflow. Instruct the developers to use the workflow to request access to other accounts when additional access is necessary.
  • D. Create service accounts in the testing environment and production environment. Give the access keys for the service accounts to developers who require access to the testing account and the production account. Rotate the access keys for the service accounts periodically.
Answer: B

NEW QUESTION # 77
A developer operations team uses AWS Identity and Access Management (1AM) to manage user permissions The team created an Amazon EC2 instance profile role that uses an AWS managed Readonly Access policy. When an application that is running on Amazon EC2 tries to read a file from an encrypted Amazon S3 bucket, the application receives an AccessDenied error.
The team administrator has verified that the S3 bucket policy allows everyone in the account to access the S3 bucket. There is no object ACL that is attached to the file.
What should the administrator do to fix the 1AM access issue?
  • A. Attach an inline policy with kms Decrypt permissions to the 1AM role
  • B. Add the EC2 1AM role as the authorized Principal to the S3 bucket policy.
  • C. Edit the ReadOnlyAccess policy to add kmsecrypt actions.
  • D. Attach an inline policy with S3: * permissions to the 1AM role.
Answer: A

NEW QUESTION # 78
A company needs to create a centralized solution to analyze log files. The company uses an organization in AWS Organizations to manage its AWS accounts.
The solution must aggregate and normalize events from the following sources:
* The entire organization in Organizations
* All AWS Marketplace offerings that run in the company's AWS accounts
* The company's on-premises systems
Which solution will meet these requirements?
  • A. Set up a delegated Amazon Security Lake administrator account in Organizations. Enable and configure Security Lake for the organization. Add the accounts that need monitoring. Use Amazon Athena to query the log data.
  • B. Apply an SCP to configure all member accounts and services to deliver log files to a centralized Amazon S3 bucket. Use Amazon OpenSearch Service to query the centralized S3 bucket for log entries.
  • C. Configure log streams in Amazon CloudWatch Logs for the sources that need monitoring. Create log subscription filters for each log stream. Forward the messages to Amazon OpenSearch Service for analysis.
  • D. Configure a centralized Amazon S3 bucket for the logs Enable VPC Flow Logs, AWS CloudTrail, and Amazon Route 53 logs in all accounts. Configure all accounts to use the centralized S3 bucket.
    Configure AWS Glue crawlers to parse the log files Use Amazon Athena to query the log data.
Answer: A
Explanation:
Amazon Security Lake, when configured with a delegated administrator account in AWS Organizations, provides a centralized solution for aggregating, organizing, and prioritizing security data from multiple sources including AWS services, AWS Marketplace solutions, and on-premises systems. By enabling Security Lake for the organization and adding the necessary AWS accounts, the solution centralizes the collection and analysis of log data. This setup leverages the organization's structure to streamline log aggregation and normalization, making it an efficient solution for the specified requirements. The use of Amazon Athena for querying the log data further enhances the ability to analyze and respond to security findings across the organization.

NEW QUESTION # 79
A company is evaluating its security posture. In the past, the company has observed issues with specific hosts and host header combinations that affected the company's business. The company has configured AWS WAF web ACLs as an initial step to mitigate these issues.
The company must create a log analysis solution for the AWS WAF web ACLs to monitor problematic activity. The company wants to process all the AWS WAF logs in a central location. The company must have the ability to filter out requests based on specific hosts.
A security engineer starts to enable access logging for the AWS WAF web ACLs.
What should the security engineer do next to meet these requirements with the MOST operational efficiency?
  • A. Specify Amazon CloudWatch as the destination for the access logs. Export the CloudWatch logs to an Amazon S3 bucket. Use Amazon Athena to query the logs and to filter the logs by host.
  • B. Specify Amazon CloudWatch as the destination for the access logs. Use Amazon Redshift Spectrum to query the logs and to filter the logs by host.
  • C. Specify Amazon CloudWatch as the destination for the access logs. Use Amazon CloudWatch Logs Insights to design a query to filter the logs by host.
  • D. Specify Amazon Redshift as the destination for the access logs. Deploy the Amazon Athena Redshift connector. Use Athena to query the data from Amazon Redshift and to filter the logs by host.
Answer: A
Explanation:
The correct answer is C. Specify Amazon CloudWatch as the destination for the access logs. Export the CloudWatch logs to an Amazon S3 bucket. Use Amazon Athena to query the logs and to filter the logs by host.
According to the AWS documentation1, AWS WAF offers logging for the traffic that your web ACLs analyze. The logs include information such as the time that AWS WAF received the request from your protected AWS resource, detailed information about the request, and the action setting for the rule that the request matched. You can send yourlogs to an Amazon CloudWatch Logs log group, an Amazon Simple Storage Service (Amazon S3) bucket, or an Amazon Kinesis Data Firehose.
To create a log analysis solution for the AWS WAF web ACLs, you can use Amazon Athena, which is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL2. You can use Athena to query and filter the AWS WAF logs by host or any other criteria. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
To use Athena with AWS WAF logs, you need to export the CloudWatch logs to an S3 bucket.You can do this by creating a subscription filter that sends your log events to a Kinesis Data Firehose delivery stream, which then delivers the data to an S3 bucket3.Alternatively, you can use AWS DMS to migrate your CloudWatch logs to S34.
After you have exported your CloudWatch logs to S3, you can create a table in Athena that points to your S3 bucket and use the AWS service log format that matches your log schema5. For example, if you are using format for your AWS WAF logs, you can use the AWSSerDe serde. Then you can run SQL queries on your Athena table and filter the results by host or any other field in your log data.
Therefore, this solution meets the requirements of creating a log analysis solution for the AWS WAF web ACLs with the most operational efficiency. This solution does not require setting up any additional infrastructure or services, and it leverages the existing capabilities of CloudWatch, S3, and Athena.
The other options are incorrect because:
A . Specifying Amazon Redshift as the destination for the access logs is not possible, because AWS WAF does not support sending logs directly to Redshift. You would need to use an intermediate service such as Kinesis Data Firehose or AWS DMS to load the data from CloudWatch or S3 to Redshift.Deploying the Amazon Athena Redshift connector is not necessary, because you can query Redshift data directly from Athena without using a connector6. This solution would also incur additional costs and operational overhead of managing a Redshift cluster.
B . Specifying Amazon CloudWatch as the destination for the access logs is possible, but using Amazon CloudWatch Logs Insights to design a query to filter the logs by host is not efficient or scalable.CloudWatch Logs Insights is a feature that enables you to interactively search and analyze your log data in CloudWatch Logs7.However, CloudWatch Logs Insights has somelimitations, such as a maximum query duration of 20 minutes, a maximum of 20 log groups per query, and a maximum retention period of 24 months8. These limitations may affect your ability to perform complex and long-running analysis on your AWS WAF logs.
D . Specifying Amazon CloudWatch as the destination for the access logs is possible, but using Amazon Redshift Spectrum to query the logs and filter them by host is not efficient or cost-effective.Redshift Spectrum is a feature of Amazon Redshift that enables you to run queries against exabytes of data in S3 without loading or transforming any data9. However, Redshift Spectrum requires a Redshift cluster to process the queries, which adds additional costs and operational overhead.Redshift Spectrum also charges you based on the number ofbytes scanned by each query, which can be expensive if you have large volumes of log data10.
References:
1ogging AWS WAF web ACL traffic - AmazonWeb Services2:What Is Amazon Athena? - Amazon Athena3:Streaming CloudWatch Logs Data to Amazon S3 - Amazon CloudWatch Logs4:Migrate data from CloudWatch Logs using AWS Database Migration Service - AWS Database Migration Service5uerying AWS service logs - Amazon Athena6uerying data from Amazon Redshift - Amazon Athena7:Analyzing log data with CloudWatch LogsInsights - Amazon CloudWatch Logs8:CloudWatch Logs Insights quotas - Amazon CloudWatch9uerying external data using Amazon Redshift Spectrum - Amazon Redshift10:Amazon Redshift Spectrum pricing - Amazon Redshift

NEW QUESTION # 80
A company is implementing new compliance requirements to meet customer needs. According to the new requirements the company must not use any Amazon RDS DB instances or DB clusters that lack encryption of the underlying storage. The company needs a solution that will generate an email alert when an unencrypted DB instance or DB cluster is created. The solution also must terminate the unencrypted DB instance or DB cluster.
Which solution will meet these requirements in the MOST operationally efficient manner?
  • A. Create an Amazon EventBridge rule that evaluates RDS event patterns and is initiated by the creation of DB instances or DB clusters Configure the rule to publish messages to an Amazon Simple Notification Service (Amazon SNS) topic that includes an AWS Lambda function and an email delivery target as subscribers. Configure the Lambda function to delete the unencrypted resource.
  • B. Create an Amazon EventBridge rule that evaluates RDS event patterns and is initiated by the creation of DB instances or DB clusters. Configure the rule to invoke an AWS Lambda function. Configure the Lambda function to publish messages to an Amazon Simple Notification Service (Amazon SNS) topic and to delete the unencrypted resource.
  • C. Create an AWS Config managed rule to detect unencrypted ROS storage. Configure an automatic remediation action to publish messages to an Amazon Simple Notification Service (Amazon SNS) topic that includes an AWS Lambda function and an email delivery target as subscribers. Configure the Lambda function to delete the unencrypted resource.
  • D. Create an AWS Config managed rule to detect unencrypted RDS storage. Configure a manual remediation action to invoke an AWS Lambda function. Configure the Lambda function to publish messages to an Amazon Simple Notification Service (Amazon SNS) topic and to delete the unencrypted resource.
Answer: C
Explanation:
https://docs.aws.amazon.com/conf ... rage-encrypted.html

NEW QUESTION # 81
......
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