Professional-Cloud-Security-Engineer New Study Notes - Exam Professional-Cloud-Security-Engineer Simulator

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Google Cloud Certified - Professional Cloud Security Engineer certification exam is designed for individuals who are responsible for creating and managing Google Cloud security architectures. Google Cloud Certified - Professional Cloud Security Engineer Exam certification exam is ideal for professionals who want to showcase their expertise in securing Google Cloud infrastructure and help organizations maintain compliance with laws and regulations concerning data security. The Professional-Cloud-Security-Engineer Certification is recognized as a benchmark for excellence in cloud security engineering.

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
A customer wants to move their sensitive workloads to a Compute Engine-based cluster using Managed Instance Groups (MIGs). The jobs are bursty and must be completed quickly. They have a requirement to be able to manage and rotate the encryption keys.
Which boot disk encryption solution should you use on the cluster to meet this customer's requirements?

Answer: D

Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/how-to/dynamic-provisioning-cmek


NEW QUESTION # 12
A manager wants to start retaining security event logs for 2 years while minimizing costs. You write a filter to select the appropriate log entries.
Where should you export the logs?

Answer: C

Explanation:
Cloud storage is always considered when minimize cost.


NEW QUESTION # 13
Your organization uses the top-tier folder to separate application environments (prod and dev). The developers need to see all application development audit logs but they are not permitted to review production logs. Your security team can review all logs in production and development environments. You must grant Identity and Access Management (1AM) roles at the right resource level tor the developers and security team while you ensure least privilege.
What should you do?

Answer: D

Explanation:
To ensure that the developers can view audit logs for the development environment and the security team can review all logs, you should grant IAM roles at the appropriate resource levels:
* Grant logging.admin Role to the Security Team:
* Assign the logging.admin role to the security team at the organization resource level.
* This grants the security team full access to all logging data across the organization, including both production and development environments.
* Grant logging.viewer Role to the Developer Team:
* Assign the logging.viewer role to the developer team at the folder resource level that contains all the development projects.
* This restricts the developers' access to only view logs in the development environment, ensuring they do not have access to production logs.
By using these roles and assigning them at the appropriate levels, you ensure that each team has the access they need while adhering to the principle of least privilege.
References:
* IAM Roles for Cloud Logging
* Resource Hierarchy in Google Cloud


NEW QUESTION # 14
Your company's users access data in a BigQuery table. You want to ensure they can only access the data during working hours.
What should you do?

Answer: B

Explanation:
o ensure that users can only access the data in a BigQuery table during working hours, you can assign the BigQuery Data Viewer role with an IAM condition that specifies the allowed access times. This method leverages IAM Conditions, which allow you to define and enforce time-based access policies. Here's how to do it:
Identify the BigQuery Table: Determine which BigQuery table(s) require restricted access.
Create an IAM Policy with Conditions: Define an IAM policy that includes a condition for time-based access.
You can do this using the Google Cloud Console, gcloud command-line tool, or directly editing the IAM policy JSON.
Specify Working Hours: In the IAM condition, specify the time frame during which access is allowed. For example, you can set access to be allowed from 9 AM to 5 PM on weekdays.
Assign the Role with Conditions: Apply the policy to the users or groups who need access. Ensure that the condition is correctly attached to the BigQuery Data Viewer role.
Example using gcloud:
gcloud projects add-iam-policy-binding [PROJECT_ID] \
--member=user:[USER_EMAIL] \
--role=roles/bigquery.dataViewer \
--condition=expression="(request.time.getFullYear() == 2024) && (request.time.getDayOfWeek() in [1, 2, 3,
4, 5]) && (request.time.getHours() >= 9) && (request.time.getHours() < 17)",title="Working hours condition",description="Access limited to working hours" References Google Cloud IAM Conditions Google Cloud BigQuery IAM Roles


NEW QUESTION # 15
Your organization must comply with the regulation to keep instance logging data within Europe. Your workloads will be hosted in the Netherlands in region europe-west4 in a new project. You must configure Cloud Logging to keep your data in the country.
What should you do?

Answer: B

Explanation:
To comply with the regulation to keep instance logging data within Europe, specifically in the Netherlands (region europe-west4), you need to configure Cloud Logging to ensure that all logs are stored in a specified region. Here are the steps to achieve this:
Create a Cloud Storage Bucket:
Go to the Google Cloud Console.
Navigate to Cloud Storage and create a new bucket.
Set the location type to "Region" and select "europe-west4" as the region.
Configure Log Sink:
Go to the Logging section in the Google Cloud Console.
Create a new log sink and configure it to export logs to the Cloud Storage bucket you just created.
Ensure the sink includes all logs you want to keep within europe-west4.
Verify Configuration:
Ensure that the logs are being exported to the Cloud Storage bucket by checking the contents of the bucket.
This setup ensures that all your logging data remains within the specified region, adhering to compliance requirements.
Reference:
Creating and Managing Log Sinks
Cloud Storage Locations


NEW QUESTION # 16
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