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質問 # 47
Martin Sheen is a senior cloud security engineer in SecGlob Cloud Pvt. Ltd. Since 2012, his organization has been using AWS cloud-based services. Using an intrusion detection system and antivirus software, Martin noticed that an attacker is trying to breach the security of his organization. Therefore, Martin would like to identify and protect the sensitive data of his organization. He requires a fully managed data security service that supports S3 storage and provides an inventory of publicly shared buckets, unencrypted buckets, and the buckets shared with AWS accounts outside his organization. Which of the following Amazon services fulfills Martin's requirement?
正解：C
解説：
Amazon S3
Explore
Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. It is specifically designed to support Amazon S3 storage and provides an inventory of S3 buckets, helping organizations like SecGlob Cloud Pvt. Ltd. to identify and protect their sensitive data.
Here's how Amazon Macie fulfills Martin's requirements:
* Sensitive Data Identification: Macie automatically and continuously discovers sensitive data, such as personally identifiable information (PII), in S3 buckets.
* Inventory and Monitoring: It provides an inventory of S3 buckets, detailing which are publicly accessible, unencrypted, or shared with accounts outside the organization.
* Alerts and Reporting: Macie generates detailed alerts and reports when it detects unauthorized access or inadvertent data leaks.
* Data Security Posture: It helps improve the data security posture by providing actionable recommendations for securing S3 buckets.
* Compliance Support: Macie aids in compliance efforts by monitoring data access patterns and ensuring that sensitive data is handled according to policy.
References:
* AWS documentation on Amazon Macie, which outlines its capabilities for protecting sensitive data in S31.
* An AWS blog post discussing how Macie can be used to identify and protect sensitive data in S3 buckets1.
質問 # 48
Jack Jensen works as a cloud security engineer in an IT company located in Madison, Wisconsin.
Owing to the various security services provided by Google, in 2012, his organization adopted Google cloud-based services. Jack would like to identify security abnormalities to secure his organizational data and workload. Which of the following is a built-in feature in the Security Command Center that utilizes behavioral signals to detect security abnormalities such as unusual activity and leaked credentials in virtual machines or GCP projects?
正解：C
解説：
Cloud Anomaly Detection is a built-in feature in Google Cloud's Security Command Center that uses behavioral signals to identify security abnormalities, such as unusual activity and potential leaked credentials, in virtual machines or GCP projects. This feature helps organizations enhance their security posture by detecting and responding to anomalies in their cloud environment.
質問 # 49
VenturiaCloud is a cloud service provider that offers robust and cost-effective cloud-based services to cloud consumers. The organization became a victim of a cybersecurity attack. An attacker performed a DDoS attack over the cloud that caused failure in the entire cloud environment. VenturiaCloud conducted a forensics investigation. Who among the following are the first line of defense against cloud security attacks with their primary role being responding against any type of security incident immediately?
正解：A
解説：
Incident Handlers are the first line of defense against cloud security attacks. Their primary role is to respond to and manage security incidents as they occur, ensuring that the organization can quickly mitigate the effects of an attack and restore normal operations. They are trained to handle incidents effectively and are essential for maintaining the security posture of the organization.
質問 # 50
James Harden works as a cloud security engineer in an IT company. James' organization has adopted a RaaS architectural model in which the production application is placed in the cloud and the recovery or backup target is kept in the private data center. Based on the given information, which RaaS architectural model is implemented in James' organization?
正解：A
解説：
The RaaS (Recovery as a Service) architectural model described, where the production application is placed in the cloud and the recovery or backup target is kept in the private data center, is known as "From-cloud RaaS." This model is designed for organizations that want to utilize cloud resources for their primary operations while maintaining their disaster recovery systems on-premises.
Here's how the From-cloud RaaS model works:
* Cloud Production Environment: The primary production application runs in the cloud, taking advantage of the cloud's scalability and flexibility.
* On-Premises Recovery: The disaster recovery site is located in the organization's private data center, not in the cloud.
* Data Replication: Data is replicated from the cloud to the on-premises data center to ensure that the backup is up-to-date.
* Disaster Recovery: In the event of a disaster affecting the cloud environment, the organization can recover its applications and data from the on-premises backup.
* Control and Compliance: This model allows organizations to maintain greater control over their recovery processes and meet specific compliance requirements that may not be fully addressed in the cloud.
References:
* Industry guidelines on RaaS architectural models, explaining the different approaches including From-cloud RaaS.
* A white paper discussing the benefits and considerations of various RaaS deployment models for organizations.
質問 # 51
A web server passes the reservation information to an application server and then the application server queries an Airline service. Which of the following AWS service allows secure hosted queue server-side encryption (SSE), or uses custom SSE keys managed in AWS Key Management Service (AWS KMS)?
正解：A
解説：
Amazon Simple Queue Service (Amazon SQS) supports server-side encryption (SSE) to protect the contents of messages in queues using SQS-managed encryption keys or keys managed in the AWS Key Management Service (AWS KMS).
* Enable SSE on Amazon SQS: When you create a new queue or update an existing queue, you can enable SSE by selecting the option for server-side encryption.
* Choose Encryption Keys: You can choose to use the default SQS-managed keys (SSE-SQS) or select a custom customer-managed key in AWS KMS (SSE-KMS).
* Secure Data Transmission: With SSE enabled, messages are encrypted as soon as Amazon SQS receives them and are stored in encrypted form.
* Decryption for Authorized Consumers: Amazon SQS decrypts messages only when they are sent to an authorized consumer, ensuring the security of the message contents during transit.
References:Amazon SQS provides server-side encryption to protect sensitive data in queues, using either SQS-managed encryption keys or customer-managed keys in AWS KMS1. This feature helps in meeting strict encryption compliance and regulatory requirements, making it suitable for scenarios where secure message transmission is critical12.
質問 # 52
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