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Google Cloud Certified Professional Cloud Security Engineer exam is a globally recognized certification that validates an individual's knowledge and expertise in securing applications, data, and infrastructure on the Google Cloud Platform. Professional-Cloud-Security-Engineer Exam is designed to test the candidate's knowledge of Google Cloud Platform security features, compliance, and best practices for securing applications and infrastructure.

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
A customer needs to launch a 3-tier internal web application on Google Cloud Platform (GCP).
The customer's internal compliance requirements dictate that end-user access may only be allowed if the traffic seems to originate from a specific known good CIDR. The customer accepts the risk that their application will only have SYN flood DDoS protection. They want to use GCP's native SYN flood protection.
Which product should be used to meet these requirements?

A. Cloud CDN
B. Cloud Identity and Access Management
C. Cloud Armor
D. VPC Firewall Rules

Answer: C

Explanation:
https://cloud.google.com/blog/products/identity-security/understanding-google-cloud-armors-new- waf-capabilities

NEW QUESTION # 58
A company has been running their application on Compute Engine. A bug in the application allowed a malicious user to repeatedly execute a script that results in the Compute Engine instance crashing. Although the bug has been fixed, you want to get notified in case this hack re-occurs.
What should you do?

A. Create an Alerting Policy in Stackdriver using the CPU usage metric. Set the threshold to 80% to be notified when the CPU usage goes above this 80%.
B. Log every execution of the script to Stackdriver Logging. Create a User-defined metric in Stackdriver Logging on the logs, and create a Stackdriver Dashboard displaying the metric.
C. Log every execution of the script to Stackdriver Logging. Configure BigQuery as a log sink, and create a BigQuery scheduled query to count the number of executions in a specific timeframe.
D. Create an Alerting Policy in Stackdriver using a Process Health condition, checking that the number of executions of the script remains below the desired threshold. Enable notifications.

Answer: D

Explanation:
To monitor and get notified in case the script causing the Compute Engine instance to crash is executed again, you should create an Alerting Policy in Stackdriver (now known as Google Cloud Monitoring). The Process Health condition can be set to monitor the number of executions of the script and ensure it remains below the desired threshold. By enabling notifications, you will be alerted if this threshold is exceeded.
Step-by-Step:
* Log Script Executions: Ensure that the script execution is logged.
* Create a User-Defined Metric: Go to Google Cloud Console > Logging > Logs-based Metrics, and create a new user-defined metric that counts the number of times the script executes.
* Set Up Alerting Policy:
* Navigate to Google Cloud Console > Monitoring > Alerting.
* Click on "Create Policy".
* Add a condition and select "Logs-based Metric".
* Configure the condition to trigger when the number of script executions exceeds the threshold.
* Configure Notifications: Add notification channels (email, SMS, etc.) to the alerting policy.
* Save and Test: Save the policy and test to ensure notifications are received when the script is executed beyond the threshold.
Google Cloud Logging User-defined Metrics
Google Cloud Monitoring Alerting Policies

NEW QUESTION # 59
You are backing up application logs to a shared Cloud Storage bucket that is accessible to both the administrator and analysts. Analysts should not have access to logs that contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible to the administrator. What should you do?

A. On the shared bucket, configure Object Lifecycle Management to delete objects that contain Pll.
B. On the shared bucket, configure a Cloud Storage trigger that is only triggered when Pll is uploaded. Use Cloud Functions to capture the trigger and delete the files that contain Pll.
C. Use Pub/Sub and Cloud Functions to trigger a Cloud Data Loss Prevention scan every time a file is uploaded to the administrator's bucket. If the scan does not detect Pll, have the function move the objects into the shared Cloud Storage bucket.
D. Upload the logs to both the shared bucket and the bucket with Pll that is only accessible to the administrator. Use the Cloud Data Loss Prevention API to create a job trigger. Configure the trigger to delete any files that contain Pll from the shared bucket.

Answer: C

Explanation:
Use Pub/Sub and Cloud Functions to trigger a Cloud Data Loss Prevention scan every time a file is uploaded to the administrator's bucket. If the scan does not detect PII, have the function move the objects into the shared Cloud Storage bucket:
Configure a Pub/Sub topic to publish notifications when new files are uploaded to the administrator's bucket.
Create a Cloud Function that is triggered by the Pub/Sub topic. This function uses the Cloud Data Loss Prevention (DLP) API to scan the uploaded files for PII.
If the scan does not detect PII, the function moves the file to the shared Cloud Storage bucket. This ensures that only non-sensitive data is accessible to analysts, while PII remains secure in the administrator's bucket.
Reference:
Using Pub/Sub with Cloud Functions
Cloud Data Loss Prevention API

NEW QUESTION # 60
Your organization hosts a financial services application running on Compute Engine instances for a third-party company. The third-party company's servers that will consume the application also run on Compute Engine in a separate Google Cloud organization. You need to configure a secure network connection between the Compute Engine instances. You have the following requirements:
The network connection must be encrypted.
The communication between servers must be over private IP addresses.
What should you do?

A. Configure a Cloud VPN connection between your organization's VPC network and the third party's that is controlled by VPC firewall rules.
B. Configure a VPC Service Controls perimeter around your Compute Engine instances, and provide access to the third party via an access level.
C. Configure a VPC peering connection between your organization's VPC network and the third party's that is controlled by VPC firewall rules.
D. Configure an Apigee proxy that exposes your Compute Engine-hosted application as an API, and is encrypted with TLS which allows access only to the third party.

Answer: A

Explanation:
To meet the requirements of encrypted communication over private IP addresses between Compute Engine instances in different Google Cloud organizations, a Cloud VPN connection is appropriate:
Cloud VPN: Cloud VPN creates a secure, encrypted tunnel between your organization's VPC network and the third party's VPC network. This ensures that data transmitted over the network is encrypted and secure.
Private IP Communication: Cloud VPN allows communication over private IP addresses, which helps maintain security by keeping traffic within the Google Cloud network and not exposing it to the public internet.
Firewall Rules: VPC firewall rules can be configured to control the traffic that flows through the VPN, ensuring that only authorized traffic is allowed, further enhancing security.
By setting up a Cloud VPN connection, you can achieve secure, encrypted communication over private IP addresses between different Google Cloud organizations.
Reference:
Cloud VPN Overview

NEW QUESTION # 61
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?

A. Configure an ingress policy for the perimeter in Project A and allow access for the service account in Project B to collect messages.
B. Create an access level that allows a developer in Project B to subscribe to the Pub/Sub topic that is located in Project A.
C. Create a perimeter bridge between Project A and Project B to allow the required communication between both projects.
D. Remove the Pub/Sub API from the list of restricted services in the perimeter configuration for Project A.

Answer: A

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 # 62
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