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| Section | Objectives |
|---|---|
| Topic 1: Ensure data protection | - Encryption and key management
|
| Topic 2: Manage operations within a cloud security environment | - Security monitoring and operations
|
| Topic 3: Configure access within a cloud solution environment | - Identity and Access Management (IAM)
|
| Topic 4: Configure network security | - Google Cloud network security controls
|
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NEW QUESTION # 199
Your organization uses Google Workspace Enterprise Edition tor authentication. You are concerned about employees leaving their laptops unattended for extended periods of time after authenticating into Google Cloud. You must prevent malicious people from using an employee's unattended laptop to modify their environment.
What should you do?
Answer: A
Explanation:
Access Google Cloud Console:
Log in to the Google Cloud Console with administrative privileges.
Navigate to the "IAM & Admin" section.
Set Session Length Timeout:
Go to the "Settings" page within IAM & Admin.
Locate the "Session control" settings.
Configure the session length timeout to a shorter duration, such as 15 or 30 minutes. This ensures that user sessions expire automatically after the specified time of inactivity.
Apply and Enforce the Policy:
Save the changes and ensure the new session timeout policy is applied across all users and services.
Communicate the new policy to employees, highlighting the importance of session security and the rationale behind the change.
Additional Security Measures:
Consider implementing additional measures such as automatic screen locks and secure session management practices.
Educate employees on the importance of logging out of their sessions and securing their devices when not in use.
Reference:
Google Cloud IAM Documentation
Session Management Best Practices
NEW QUESTION # 200
You manage multiple internal-only applications that are hosted within different Google Cloud projects. You are deploying a new application that requires external internet access. To maintain security, you want to clearly separate this new application from internal systems. Your solution must have effective security isolation for the new externally-facing application. What should you do?
Answer: A
Explanation:
While VPC Service Controls offer strong isolation, they might be overkill for this scenario involving internal applications with moderate security needs.
NEW QUESTION # 201
You manage your organization's Security Operations Center (SOC). You currently monitor and detect network traffic anomalies in your Google Cloud VPCs based on packet header information. However, you want the capability to explore network flows and their payload to aid investigations. Which Google Cloud product should you use?
Answer: B
Explanation:
Reference: https://aws.amazon.com/blogs/aws/new-vpc-traffic-mirroring/
Packet Mirroring clones the traffic of specified instances in your Virtual Private Cloud (VPC) network and forwards it for examination. Packet Mirroring captures all traffic and packet data, including payloads and headers. https://cloud.google.com/vpc/docs/packet-mirroring
NEW QUESTION # 202
You manage one of your organization's Google Cloud projects (Project A). AVPC Service Control (SC) perimeter is blocking API access requests to this project including Pub/Sub. A resource running under a service account in another project (Project B) needs to collect messages from a Pub/Sub topic in your project Project B is not included in a VPC SC perimeter. You need to provide access from Project B to the Pub/Sub topic in Project A using the principle of least Privilege.
What should you do?
Answer: D
Explanation:
When dealing with VPC Service Controls (VPC SC), it's important to ensure that only authorized resources can access sensitive data and services. To allow a resource in Project B to access Pub/Sub in Project A without compromising security, you should configure an ingress policy for the service perimeter in Project A.
Identify the Service Account: Determine the service account in Project B that requires access to the Pub/Sub topic in Project A.
Configure Ingress Policy:
Go to the Google Cloud Console.
Navigate to Security > VPC Service Controls.
Select the service perimeter for Project A.
Add an ingress rule specifying the service account from Project B and allowing it access to the necessary Pub/Sub resources.
Define Conditions: Ensure that the ingress policy adheres to the principle of least privilege, granting only the necessary permissions to collect messages from the Pub/Sub topic.
Save and Apply: Save the policy and apply the changes to enforce the new access controls.
This approach maintains the security boundaries set by VPC SC while enabling the required access from Project B to Project A.
Reference:
VPC Service Controls Documentation
Configuring Ingress Policies
NEW QUESTION # 203
What is the default behavior in Vertex AI regarding the use of your data for model tuning?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:When using Google Cloud's generative AI platforms like Vertex AI for model tuning, the contractual and technical safeguards are designed to protect customer data from being used for public model training.
Google's policy is that the content (data) uploaded for model tuning is used only for that specific, express purpose (tuning your model) and is not used to tune Google's foundational public models or shared with other customers.
Extracts:
"Google only uses content that you import or upload to our model tuning feature for that express purpose." (Source 6.1)
"Tuning content may be retained in connection with your tuned models for purposes of re-tuning when supported models change. When you delete a tuned model, the related tuning content is also deleted." (Source
6.1)
Therefore, based on the documented commitment for Vertex AI model tuning, no additional action is required (Do nothing) to prevent Google from using the data for general model tuning.
NEW QUESTION # 204
......
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