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| Section | Objectives |
|---|---|
| Configure network security | - Google Cloud network security controls
|
| Manage operations within a cloud security environment | - Security monitoring and operations
|
| Ensure data protection | - Encryption and key management
|
| Configure access within a cloud solution environment | - Identity and Access Management (IAM)
|
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質問 # 214
You are using Security Command Center (SCC) to protect your workloads and receive alerts for suspected security breaches at your company. You need to detect cryptocurrency mining software.
Which SCC service should you use?
正解：D
解説：
* Enable Security Command Center (SCC):
* SCC provides centralized visibility and control over your cloud resources' security status.
* Ensure that SCC is enabled in your Google Cloud environment.
* Configure Virtual Machine Threat Detection (VMTD):
* VMTD is part of SCC and specializes in detecting threats within VM instances, such as cryptocurrency mining malware.
* Navigate to the SCC settings in the Google Cloud Console.
* Activate VMTD:
* Enable VMTD for the projects or resources where you want to monitor and detect potential threats.
* VMTD uses behavioral analysis to identify anomalies indicative of unauthorized mining activities.
* Monitor and Respond to Alerts:
* VMTD generates alerts when it detects suspicious activities, such as unauthorized cryptocurrency mining.
* Set up appropriate response actions, such as notifications, automatic remediation, or manual investigation, to handle these alerts.
References:
* Security Command Center Documentation
* Virtual Machine Threat Detection
質問 # 215
You want to make sure that your organization's Cloud Storage buckets cannot have data publicly available to the internet. You want to enforce this across all Cloud Storage buckets. What should you do?
正解：C
質問 # 216
You are tasked with exporting and auditing security logs for login activity events for Google Cloud console and API calls that modify configurations to Google Cloud resources. Your export must meet the following requirements:
Export related logs for all projects in the Google Cloud organization.
Export logs in near real-time to an external SIEM.
What should you do? (Choose two.)
正解：A、B
解説：
Reference:
"Google Workspace Login Audit: Login Audit logs track user sign-ins to your domain. These logs only record the login event. They don't record which system was used to perform the login action." https://cloud.google.com/logging/docs/audit/gsuite-audit-logging#services
質問 # 217
Your security team uses encryption keys to ensure confidentiality of user data. You want to establish a process to reduce the impact of a potentially compromised symmetric encryption key in Cloud Key Management Service (Cloud KMS).
Which steps should your team take before an incident occurs? (Choose two.)
正解：B、E
解説：
* Enable automatic key version rotation on a regular schedule:
* Regularly rotating keys reduces the impact of a potentially compromised key by limiting the amount of data encrypted with a single key version.
* Set up automatic key rotation in Cloud KMS to ensure keys are rotated without manual intervention.
* Limit the number of messages encrypted with each key version:
* Reducing the number of messages encrypted with each key version minimizes the potential data exposure in case of a key compromise.
* Implement policies to ensure that new key versions are used periodically to limit the usage of each key version.
References:
* Cloud KMS Key Rotation
* Best Practices for Using Cryptographic Keys
質問 # 218
Which approach is the most effective for managing and restricting access to models in Vertex AI?
正解：C
解説：
The problem states that the organization is using Model Garden and needs to ensure users can only access approved models. This implies a need for a central, enforceable control mechanism.
Organization Policies and Constraints: Google Cloud Organization Policy Service allows administrators to centrally control resources across an organization. Constraints are specific types of restrictions that can be applied. For AI Platform (which includes Vertex AI and Model Garden), there are specific constraints designed to control model usage.
vertexai.allowedModels Constraint: This specific organization policy constraint is designed precisely to restrict which models can be used within a given organization, folder, or project. It provides a centralized way to define a list of approved models that users are allowed to access.Extract Reference: "The vertexai.
allowedModels constraint allows you to specify a list of model URIs that are allowed to be used within the resource hierarchy." and "This constraint helps organizations enforce compliance and control which models are consumed by their users." (Google Cloud documentation, typically found under Organization Policy Service constraints for Vertex AI or AI Platform) Let's evaluate the other options:
A). Configure IAM permissions on individual Model Garden to restrict access to specific models: IAM (Identity and Access Management) typically grants permissions at a broader resource level (e.g., project, dataset, model resource). While you can control who can manage models, directly restricting access to specific models within Model Garden for consumption via IAM roles on individual models is not the primary mechanism for enforcing a list of approved models across an organization in a preventative way. Organization policies are designed for this kind of broad, preventative control.
B). Regularly audit user activity logs in Vertex AI to identify and revoke access to unapproved models:
Auditing logs is a reactive measure. While important for monitoring and detecting violations, it does not prevent users from accessing unapproved models in the first place. The requirement is to ensure they can only access approved models, implying a proactive control.
C). Train custom models within your Vertex AI project and restrict user access to these models: This is about managing access to custom-trained models, not about controlling access to the collection of models in Model Garden, which often includes pre-trained or publicly available models that need to be whitelisted. It doesn't address the requirement of ensuring users only access approved models from the broader Model Garden collection.
Therefore, implementing an organization policy with the vertexai.allowedModels constraint is the most effective and Google-recommended way to centrally ensure that users can only access approved models within an organization using Model Garden.
質問 # 219
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