SCS-C02 VALID BRAINDUMPS EBOOK & VALID SCS-C02 TEST PATTERN

SCS-C02 Valid Braindumps Ebook & Valid SCS-C02 Test Pattern

SCS-C02 Valid Braindumps Ebook & Valid SCS-C02 Test Pattern

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Amazon SCS-C02 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • Threat Detection and Incident Response: In this topic, AWS Security specialists gain expertise in crafting incident response plans and detecting security threats and anomalies using AWS services. It delves into effective strategies for responding to compromised resources and workloads, ensuring readiness to manage security incidents. Mastering these concepts is critical for handling scenarios assessed in the SCS-C02 Exam.

Amazon AWS Certified Security - Specialty Sample Questions (Q227-Q232):

NEW QUESTION # 227
A security engineer wants to evaluate configuration changes to a specific AWS resource to ensure that the resource meets compliance standards. However, the security engineer is concerned about a situation in which several configuration changes are made to the resource in quick succession. The security engineer wants to record only the latest configuration of that resource to indicate the cumulative impact of the set of changes.
Which solution will meet this requirement in the MOST operationally efficient way?

  • A. Use AWS CloudTrail to detect the configuration changes by filtering API calls to monitor the changes.
    Use the most recent API call to indicate the cumulative impact of multiple calls
  • B. Use Amazon CloudWatch to detect the configuration changes by filtering API calls to monitor the changes. Use the most recent API call to indicate the cumulative impact of multiple calls.
  • C. Use AWS Cloud Map to detect the configuration changes. Generate a report of configuration changes from AWS Cloud Map to track the latest state by using a sliding time window.
  • D. Use AWS Config to detect the configuration changes and to record the latest configuration in case of multiple configuration changes.

Answer: D

Explanation:
AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations.
To evaluate configuration changes to a specific AWS resource and ensure that it meets compliance standards, the security engineer should use AWS Config to detect the configuration changes and to record the latest configuration in case of multiple configuration changes. This will allow the security engineer to view the current state of the resource and its compliance status, as well as its configuration history and timeline.
AWS Config records configuration changes as ConfigurationItems, which are point-in-time snapshots of the resource's attributes, relationships, and metadata. If multiple configuration changes occur within a short period of time, AWS Config records only the latest ConfigurationItem for that resource. This indicates the cumulative impact of the set of changes on the resource's configuration.
This solution will meet the requirement in the most operationally efficient way, as it leverages AWS Config's features to monitor, record, and evaluate resource configurations without requiring additional tools or services.
The other options are incorrect because they either do not record the latest configuration in case of multiple configuration changes (A, C), or do not use a valid service for evaluating resource configurations (D).
Verified References:
* https://docs.aws.amazon.com/config/latest/developerguide/WhatIsConfig.html
* https://docs.aws.amazon.com/config/latest/developerguide/config-item-table.html


NEW QUESTION # 228
A company is developing a highly resilient application to be hosted on multiple Amazon EC2 instances . The application will store highly sensitive user data in Amazon RDS tables The application must
* Include migration to a different IAM Region in the application disaster recovery plan.
* Provide a full audit trail of encryption key administration events
* Allow only company administrators to administer keys.
* Protect data at rest using application layer encryption
A Security Engineer is evaluating options for encryption key management Why should the Security Engineer choose IAM CloudHSM over IAM KMS for encryption key management in this situation?

  • A. The key administration event logging generated by CloudHSM is significantly more extensive than IAM KMS.
  • B. CloudHSM provides the ability to copy keys to a different Region, whereas IAM KMS does not
  • C. CloudHSM ensures that only company support staff can administer encryption keys, whereas IAM KMS allows IAM staff to administer keys
  • D. The ciphertext produced by CloudHSM provides more robust protection against brute force decryption attacks than the ciphertext produced by IAM KMS

Answer: C


NEW QUESTION # 229
A company plans to use AWS Key Management Service (AWS KMS) to implement an encryption strategy to protect data at rest. The company requires client-side encryption for company projects. The company is currently conducting multiple projects to test the company's use of AWS KMS. These tests have led to a sudden increase in the company's AWS resource consumption. The test projects include applications that issue multiple requests each second to KMS endpoints for encryption activities.
The company needs to develop a solution that does not throttle the company's ability to use AWS KMS. The solution must improve key usage for client-side encryption and must be cost optimized.
Which solution will meet these requirements?

  • A. Use keyrings with the AWS Encryption SDK. Use each keyring individually or combine keyrings into a multi-keyring. Use any of the wrapping keys in the multi-keyring to decrypt the data.
  • B. Use KMS key rotation. Use a local cache in the AWS Encryption SDK with a caching cryptographic materials manager.
  • C. Use keyrings with the AWS Encryption SDK. Use each keyring individually or combine keyrings into a multi-keyring. Decrypt the data by using a keyring that has the primary key in the multi-keyring.
  • D. Use data key caching. Use the local cache that the AWS Encryption SDK provides with a caching cryptographic materials manager.

Answer: D

Explanation:
Explanation
The correct answer is B. Use data key caching. Use the local cache that the AWS Encryption SDK provides with a caching cryptographic materials manager.
This answer is correct because data key caching can improve performance, reduce cost, and help the company stay within the service limits of AWS KMS. Data key caching stores data keys and related cryptographic material in a cache, and reuses them for encryption and decryption operations. This reduces the number of requests to AWS KMS endpoints and avoids throttling. The AWS Encryption SDK provides a local cache and a caching cryptographic materials manager (caching CMM) that interacts with the cache and enforces security thresholds that the company can set1.
The other options are incorrect because:
A: Using keyrings with the AWS Encryption SDK does not address the problem of throttling or cost optimization. Keyrings are used to generate, encrypt, and decrypt data keys, but they do not cache or reuse them. Using each keyring individually or combining them into a multi-keyring does not reduce the number of requests to AWS KMS endpoints2.
C: Using KMS key rotation does not address the problem of throttling or cost optimization. Key rotation is a security practice that creates new cryptographic material for a KMS key every year, but it does not affect the data that the KMS key protects. Key rotation does not reduce the number of requests to AWS KMS endpoints, and it might incur additional costs for storing multiple versions of key material3.
D: Using keyrings with the AWS Encryption SDK does not address the problem of throttling or cost optimization, as explained in option A. Moreover, using any of the wrapping keys in the multi-keyring to decrypt the data is not a valid option, because only one of the wrapping keys can decrypt a given data key. The wrapping key that encrypts a data key is stored in the encrypted data key structure, and only that wrapping key can decrypt it4.
References:
1: Data key caching - AWS Encryption SDK 2: Using keyrings - AWS Encryption SDK 3: Rotating AWS KMS keys - AWS Key Management Service 4: How keyrings work - AWS Encryption SDK


NEW QUESTION # 230
A company needs to log object-level activity in its Amazon S3 buckets. The company also needs to validate the integrity of the log file by using a digital signature.

  • A. Create an AWS CloudTrail trail with log file validation enabled. Enable data events. Specify Amazon S3 as the data event type.
  • B. Create a new S3 bucket for S3 server access logs. Configure the existing S3 buckets to send their S3 server access logs to the new S3 bucket.
  • C. Create an Amazon CloudWatch Logs log group. Configure the existing S3 buckets to send their S3 server access logs to the log group.
  • D. Create a new S3 bucket for S3 server access logs with log file validation enabled. Enable data events. Specify Amazon S3 as the data event type.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
To log object-level activity and validate log file integrity:
CloudTrail Data Events with Log File Validation:
CloudTrail data events log object-level activity in S3 buckets.
Enable log file validation to ensure integrity using a digital signature.
Reference:
Incorrect Options:
B and C: S3 server access logs do not provide object-level logging or integrity validation.
D: Log file validation is specific to CloudTrail, not S3 server access logs.


NEW QUESTION # 231
A company needs to log object-level activity in its Amazon S3 buckets. The company also needs to validate the integrity of the log file by using a digital signature.

  • A. Create a new S3 bucket for S3 server access logs with log file validation enabled. Enable data events.Specify Amazon S3 as the data event type.
  • B. Create an AWS CloudTrail trail with log file validation enabled. Enable data events. Specify Amazon S3 as the data event type.
  • C. Create a new S3 bucket for S3 server access logs. Configure the existing S3 buckets to send their S3 server access logs to the new S3 bucket.
  • D. Create an Amazon CloudWatch Logs log group. Configure the existing S3 buckets to send their S3 server access logs to the log group.

Answer: B

Explanation:
Comprehensive Detailed Explanation with all AWS References
To log object-level activity and validate log file integrity:
* CloudTrail Data Events with Log File Validation:
* CloudTrail data events log object-level activity in S3 buckets.
* Enable log file validation to ensure integrity using a digital signature.


NEW QUESTION # 232
......

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