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SCS-C02サンプル問題集、SCS-C02学習資料
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Amazon SCS-C02 認定試験の出題範囲:
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Amazon SCS-C02学習資料、SCS-C02復習対策書
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Amazon AWS Certified Security - Specialty 認定 SCS-C02 試験問題 (Q170-Q175):
質問 # 170
An AWS account includes two S3 buckets: bucketl and bucket2. The bucket2 does not have a policy defined, but bucketl has the following bucket policy:
In addition, the same account has an 1AM User named "alice", with the following 1AM policy.
Which buckets can user "alice" access?
- A. Both bucketl and bucket2
- B. bucket2 only
- C. Neither bucketl nor bucket2
- D. bucketl only
正解:A
解説:
Understanding the IAM Policy:
The IAM useralicehas an explicit permission in the IAM policy to perform alls3:*actions on bothbucket1andbucket2resources.
This grants useralicefull access to both buckets from the IAM policy perspective.
Bucket Policy for bucket1:
The bucket policy forbucket1explicitly grants useralicefull access to this bucket.
This policy reinforces the permissions provided by the IAM policy.
Bucket Policy for bucket2:
bucket2does not have a bucket policy defined.
In the absence of a bucket policy, the permissions fall back to the IAM policy.
Effective Permissions:
Since the IAM policy grants access to both buckets, and there are no conflicting explicit deny statements, useralicecan access bothbucket1andbucket2.
IAM Policies and Bucket Policies
Evaluating Access with S3 Policies
質問 # 171
A development team is creating an open source toolset to manage a company's software as a service (SaaS) application. The company stores the code in a public repository so that anyone can view and download the toolset's code.
The company discovers that the code contains an IAM access key and secret key that provide access to internal resources in the company's AWS environment A security engineer must implement a solution to identify whether unauthorized usage of the exposed credentials has occurred. The solution also must prevent any additional usage of the exposed credentials.
Which combination of steps will meet these requirements? (Choose two.)
- A. Use AWS Identity and Access Management Access Analyzer to determine which resources the exposed credentials accessed and who used them.
- B. Create a new IAM access key and secret key for the user whose credentials were exposed.
- C. Create a rule in Amazon GuardDuty to block the access key in the source code from being used.
- D. Deactivate the exposed IAM access key from the user's IAM account.
- E. Generate an IAM credential report. Check the report to determine when the user that owns the access key last logged in.
正解:A、D
質問 # 172
A company used a lift-and-shift approach to migrate from its on-premises data centers to the AWS Cloud. The company migrated on-premises VMS to Amazon EC2 in-stances. Now the company wants to replace some of components that are running on the EC2 instances with managed AWS services that provide similar functionality.
Initially, the company will transition from load balancer software that runs on EC2 instances to AWS Elastic Load Balancers. A security engineer must ensure that after this transition, all the load balancer logs are centralized and searchable for auditing. The security engineer must also ensure that metrics are generated to show which ciphers are in use.
Which solution will meet these requirements?
- A. Create an Amazon S3 bucket. Configure the load balancers to send logs to the S3 bucket. Use Amazon Athena to search the logs that are in the S3 bucket. Create Amazon CloudWatch filters on the S3 log files for the re-quired metrics.
- B. Create an Amazon S3 bucket. Configure the load balancers to send logs to the S3 bucket. Use Amazon Athena to search the logs that are in the S3 bucket. Create Athena queries for the required metrics.
Publish the metrics to Amazon CloudWatch. - C. Create an Amazon CloudWatch Logs log group. Configure the load balancers to send logs to the log group. Use the AWS Management Console to search the logs. Create Amazon Athena queries for the required metrics. Publish the metrics to Amazon CloudWatch.
- D. Create an Amazon CloudWatch Logs log group. Configure the load balancers to send logs to the log group. Use the CloudWatch Logs console to search the logs. Create CloudWatch Logs filters on the logs for the required met-rics.
正解:B
解説:
Amazon S3 is a service that provides scalable, durable, and secure object storage. You can use Amazon S3 to store and retrieve any amount of data from anywhere on the web1 AWS Elastic Load Balancing is a service that distributes incoming application or network traffic across multiple targets, such as EC2 instances, containers, or IP addresses. You can use Elastic Load Balancing to increase the availability and fault tolerance of your applications2 Elastic Load Balancing supports access logging, which captures detailed information about requests sent to your load balancer. Each log contains information such as the time the request was received, the client's IP address, latencies, request paths, and server responses. You can use access logs to analyze traffic patterns and troubleshoot issues3 You can configure your load balancer to store access logs in an Amazon S3 bucket that you specify. You can also specify the interval for publishing the logs, which can be 5 or 60 minutes. The logs are stored in a hierarchical folder structure by load balancer name, IP address, year, month, day, and time.
Amazon Athena is a service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to manage and you pay only for the queries that you run.
You can use Athena to search the access logs that are stored in your S3 bucket. You can create a table in Athena that maps to your S3 bucket and then run SQL queries on the table. You can also use the Athena console or API to view and download the query results.
You can also use Athena to create queries for the required metrics, such as the number of requests per cipher or protocol. You can then publish the metrics to Amazon CloudWatch, which is a service that monitors and manages your AWS resources and applications. You can use CloudWatch to collect and track metrics, create alarms, and automate actions based on the state of your resources.
By using this solution, you can meet the requirements of ensuring that all the load balancer logs are centralized and searchable for auditing and that metrics are generated to show which ciphers are in use.
質問 # 173
A company is building an application on IAM that will store sensitive Information. The company has a support team with access to the IT infrastructure, including databases. The company's security engineer must introduce measures to protect the sensitive data against any data breach while minimizing management overhead. The credentials must be regularly rotated.
What should the security engineer recommend?
- A. Enable Amazon RDS encryption to encrypt the database and snapshots. Enable Amazon Elastic Block Store (Amazon EBS) encryption on Amazon EC2 instances. Store the database credentials in IAM Secrets Manager with automatic rotation. Set up TLS for the connection to the RDS hosted database.
- B. Set up an IAM CloudHSM cluster with IAM Key Management Service (IAM KMS) to store KMS keys.Set up Amazon RDS encryption using IAM KMS to encrypt the database. Store database credentials in the IAM Systems Manager Parameter Store with automatic rotation. Set up TLS for the connection to the RDS hosted database.
- C. Enable Amazon RDS encryption to encrypt the database and snapshots. Enable Amazon Elastic Block Store (Amazon EBS) encryption on Amazon EC2 instances. Include the database credential in the EC2 user data field. Use an IAM Lambda function to rotate database credentials. Set up TLS for the connection to the database.
- D. Install a database on an Amazon EC2 Instance. Enable third-party disk encryption to encrypt the Amazon Elastic Block Store (Amazon EBS) volume. Store the database credentials in IAM CloudHSM with automatic rotation. Set up TLS for the connection to the database.
正解:A
質問 # 174
A company is using Amazon Elastic Container Service (Amazon ECS) to run its container-based application on AWS. The company needs to ensure that the container images contain no severe vulnerabilities. The company also must ensure that only specific IAM roles and specific AWS accounts can access the container images.
Which solution will meet these requirements with the LEAST management overhead?
- A. Pull images from the public container registry. Publish the images to AWS CodeArtifact repositories in a centralized AWS account. Use a CI/CD pipeline to deploy the images to different AWS accounts. Use repository policies and identity-based policies to restrict access to which IAM principals and accounts can access the images.
- B. Pull images from the public container registry. Publish the images to Amazon Elastic Container Registry (Amazon ECR) repositories with scan on push configured in a centralized AWS account. Use a CI/CD pipeline to deploy the images to different AWS accounts. Use repository policies and identity-based policies to restrict access to which IAM principals and accounts can access the images.
- C. Pull images from the public container registry. Publish the images to Amazon Elastic Container Registry (Amazon ECR) repositories with scan on push configured in a centralized AWS account. Use a CI/CD pipeline to deploy the images to different AWS accounts. Use identity-based policies to restrict access to which IAM principals can access the images.
- D. Pull images from the public container registry. Publish the images to a private container registry that is hosted on Amazon EC2 instances in a centralized AWS account. Deploy host-based container scanning tools to EC2 instances that run Amazon ECS. Restrict access to the container images by using basic authentication over HTTPS.
正解:B
解説:
The correct answer is C. Pull images from the public container registry. Publish the images to Amazon Elastic Container Registry (Amazon ECR) repositories with scan on push configured in a centralized AWS account.
Use a CI/CD pipeline to deploy the images to different AWS accounts. Use repository policies and identity-based policies to restrict access to which IAM principals and accounts can access the images.
This solution meets the requirements because:
* Amazon ECR is a fully managed container registry service that supports Docker and OCI images and artifacts1. It integrates with Amazon ECS and other AWS services to simplify the development and deployment of container-based applications.
* Amazon ECR provides image scanning on push, which uses the Common Vulnerabilities and Exposures (CVEs) database from the open-source Clair project to detect software vulnerabilities in container images2. The scan results are available in the AWS Management Console, AWS CLI, or AWS SDKs2.
* Amazon ECR supports cross-account access to repositories, which allows sharing images across
* multiple AWS accounts3. This can be achieved by using repository policies, which are resource-based policies that specify which IAM principals and accounts can access the repositories and what actions they can perform4. Additionally, identity-based policies can be used to control which IAM roles in each account can access the repositories5.
The other options are incorrect because:
* A. This option does not use repository policies to restrict cross-account access to the images, which is a requirement. Identity-based policies alone are not sufficient to control access to Amazon ECR repositories5.
* B. This option does not use Amazon ECR, which is a fully managed service that provides image scanning and cross-account access features. Hosting a private container registry on EC2 instances would require more management overhead and additional security measures.
* D. This option uses AWS CodeArtifact, which is a fully managed artifact repository service that supports Maven, npm, NuGet, PyPI, and generic package formats6. However, AWS CodeArtifact does not support Docker or OCI container images, which are required for Amazon ECS applications.
質問 # 175
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