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Professional-Cloud-Security-Engineer新版題庫上線&有效Google Professional-Cloud-Security-Engineer權威考題:Google Cloud Certified - Professional Cloud Security Engineer Exam
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最新的 Google Cloud Certified Professional-Cloud-Security-Engineer 免費考試真題 (Q75-Q80):
問題 #75
Your team needs to configure their Google Cloud Platform (GCP) environment so they can centralize the control over networking resources like firewall rules, subnets, and routes. They also have an on-premises environment where resources need access back to the GCP resources through a private VPN connection. The networking resources will need to be controlled by the network security team.
Which type of networking design should your team use to meet these requirements?
- A. VPC peering between all engineering projects using a hub and spoke model
- B. Grant Compute Admin role to the networking team for each engineering project
- C. Shared VPC Network with a host project and service projects
- D. Cloud VPN Gateway between all engineering projects using a hub and spoke model
答案:C
解題說明:
Explanation/Reference: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#centralize_network_control
問題 #76
Your application is deployed as a highly available cross-region solution behind a global external HTTP(S) load balancer. You notice significant spikes in traffic from multiple IP addresses but it is unknown whether the IPs are malicious. You are concerned about your application's availability. You want to limit traffic from these clients over a specified time interval.
What should you do?
- A. Configure a rate_based_ban action by using Google Cloud Armor and set the ban_duration_sec parameter to the specified time interval.
- B. Configure a deny action by using Google Cloud Armor to deny the clients that issued too many requests over the specified time interval.
- C. Configure a firewall rule in your VPC to throttle traffic from the identified IP addresses.
- D. Configure a throttle action by using Google Cloud Armor to limit the number of requests per client over a specified time interval.
答案:A
解題說明:
To handle significant traffic spikes and potentially malicious IPs, you can use Google Cloud Armor to configure rate-based bans. This approach allows you to automatically ban clients that exceed a predefined request rate, protecting your application from potential denial-of-service attacks.
* Access Google Cloud Console: Log in to your Google Cloud Console.
* Navigate to Google Cloud Armor: Go to the "Security" section and select "Google Cloud Armor".
* Create Security Policy: Create a new security policy or edit an existing one. Add a new rule to the policy.
* Configure Rate-Based Ban: Set the action to rate_based_ban. Define the rate limit (e.g., requests per second) and set the ban_duration_sec parameter to the desired time interval.
* Apply the Policy: Apply the security policy to your backend service or load balancer.
* Monitor and Adjust: Monitor the traffic patterns and adjust the rate limits and ban durations as necessary to balance security and availability.
References:
* Google Cloud Armor Documentation
* Rate Limiting with Cloud Armor
問題 #77
Which encryption algorithm is used with Default Encryption in Cloud Storage?
- A. 3DES
- B. AES-256
- C. SHA512
- D. MD5
答案:B
解題說明:
A is correct because Cloud Storage encrypts user data at rest using AES-256.
B is not correct because Cloud Storage encrypts user data at rest using AES-256.
C is not correct because Cloud Storage encrypts user data at rest using AES-256.
D is not correct because Cloud Storage encrypts user data at rest using AES-256.
https://cloud.google.com/storage/docs/encryption/default-keys
問題 #78
You are developing a new application that uses exclusively Compute Engine VMs Once a day. this application will execute five different batch jobs Each of the batch jobs requires a dedicated set of permissions on Google Cloud resources outside of your application. You need to design a secure access concept for the batch jobs that adheres to the least-privilege principle What should you do?
- A. 1. Create a workload identity pool and configure workload identity pool providers for each batch job
* 2 Assign the workload identity user role to each of the identities configured in the providers.
* 3. Create one service account per batch job Mb-sa-[1-5]". and grant only the permissions required to run the individual batch jobs to the service accounts - B. 1. Create a general service account **g-sa" to execute the batch jobs.
* 2 Grant the permissions required to execute the batch jobs to g-sa.
* 3. Execute the batch jobs with the permissions granted to g-sa - C. 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2. Create one service account per batch job Mb-sa-[1-5]," and grant only the permissions required to run the individual batch jobs to the service accounts.
* 3. Grant the Service Account Token Creator role to g-sa Use g-sa to obtain short-lived access tokens for b-sa-[1-5] and to execute the batch jobs with the permissions of b-sa-[1-5].
答案:C
解題說明:
* 4 Generate credential configuration files for each of the providers Use these files to execute the batch jobs with the permissions of b-sa-[1-5].
D.
* 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2 Create one service account per batch job 'b-sa-[1-5) Grant only the permissions required to run the individual batch jobs to the service accounts and generate service account keys for each of these service accounts
* 3. Store the service account keys in Secret Manager. Grant g-sa access to Secret Manager and run the batch jobs with the permissions of b-sa-[1-5].
問題 #79
You're developing the incident response plan for your company. You need to define the access strategy that your DevOps team will use when reviewing and investigating a deployment issue in your Google Cloud environment. There are two main requirements:
* Least-privilege access must be enforced at all times.
* The DevOps team must be able to access the required resources only during the deployment issue.
How should you grant access while following Google-recommended best practices?
- A. Assign the Project Viewer Identity and Access Management (1AM) role to the DevOps team.
- B. Create a custom 1AM role with limited list/view permissions, and assign it to the DevOps team.
- C. Create a service account, and grant it limited list/view permissions. Give the Service Account User Role on this service account to the DevOps team.
- D. Create a service account, and grant it the Project Owner 1AM role. Give the Service Account User Role on this service account to the DevOps team.
答案:C
解題說明:
To ensure least-privilege access and provide necessary permissions to the DevOps team only during a deployment issue, follow these steps:
* Create a Service Account:
* In your Google Cloud project, create a new service account specifically for the DevOps team.
* Assign Limited Permissions:
* Grant the service account permissions with only the necessary list/view roles. For instance, you can create a custom IAM role with compute.instances.list and compute.instances.get permissions.
* Grant Service Account User Role:
* Assign the Service Account User role to the DevOps team members for the created service account. This allows them to act as the service account and use its permissions.
* Access Control During Incidents:
* During a deployment issue, the DevOps team can temporarily use the service account to access the resources. This ensures they have the least-privilege access required to investigate and resolve the issue.
* Automation and Monitoring:
* Implement automation to enable and disable the service account access as needed and monitor the usage to ensure compliance with the least-privilege principle.
Benefits:
* Security: Limits access to only what is necessary, reducing the risk of unauthorized changes.
* Flexibility: Provides necessary access during incidents without granting permanent elevated permissions.
References
* Creating and Managing Service Accounts
* Service Account User Role
問題 #80
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