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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Supporting Compliance Requirements	11%	- Audit and assessment 1. Security assessment frameworks 2. Evidence collection and reporting - Regulatory compliance 1. Shared responsibility model 2. Controls for GDPR, HIPAA, PCI DSS, ISO 27001
Topic 2: Configuring Network Security	20%	- Secure communication 1. Certificate management 2. Encryption in transit 3. Load balancer security - Perimeter security 1. Cloud NGFW rules and policies 2. Identity-Aware Proxy (IAP) 3. VPC design and private access
Topic 3: Managing Operations	19%	- Security monitoring and logging 1. Security Command Center (SCC) 2. Cloud Audit Logs and logging configuration 3. Threat detection and response - Security automation and governance 1. Infrastructure as Code security 2. Binary Authorization and supply chain security 3. Policy enforcement and compliance monitoring
Topic 4: Configuring Access	25%	- Implementing access management 1. Deny policies and conditional access 2. User and group management 3. Service accounts and key management - Designing access control 1. Identity federation and workload identity 2. Resource hierarchy and organization policies 3. IAM roles, permissions, and policies
Topic 5: Ensuring Data Protection	23%	- Encryption implementation 1. Key management and rotation 2. Encryption at rest (CMEK, Google-managed keys) 3. Data loss prevention (DLP) - Data classification and lifecycle 1. Sensitive data discovery and classification 2. Retention and deletion policies

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q108-Q113):

NEW QUESTION # 108
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. 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.
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. 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%.
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.
References:
* Google Cloud Logging User-defined Metrics
* Google Cloud Monitoring Alerting Policies

NEW QUESTION # 109
You are a Security Administrator at your organization. You need to restrict service account creation capability within production environments. You want to accomplish this centrally across the organization. What should you do?

A. Use Identity and Access Management (IAM) to restrict access of all users and service accounts that have access to the production environment.
B. Use organization policy constraints/iam.disableServiceAccountCreation boolean to disable the creation of new service accounts.
C. Use organization policy constraints/iam.disableServiceAccountKeyUpload boolean to disable the creation of new service accounts.
D. Use organization policy constraints/iam.disableServiceAccountKeyCreation boolean to disable the creation of new service accounts.

Answer: B

Explanation:
Reference:
You can use the iam.disableServiceAccountCreation boolean constraint to disable the creation of new service accounts. This allows you to centralize management of service accounts while not restricting the other permissions your developers have on projects. https://cloud.google.com/resource-manager/docs/organization-policy/restricting-service-accounts#disable_service_account_creation

NEW QUESTION # 110
You are in charge of migrating a legacy application from your company datacenters to GCP before the current maintenance contract expires. You do not know what ports the application is using and no documentation is available for you to check. You want to complete the migration without putting your environment at risk.
What should you do?

A. Refactor the application into a micro-services architecture hosted in Cloud Functions in an isolated project.Disable all traffic from outside your project using Firewall Rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
B. Migrate the application into an isolated project using a "Lift & Shift" approach. Enable all internal TCP traffic using VPC Firewall rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.
C. Migrate the application into an isolated project using a "Lift & Shift" approach in a custom network. Disable all traffic within the VPC and look at the Firewall logs to determine what traffic should be allowed for the application to work properly.
D. Refactor the application into a micro-services architecture in a GKE cluster. Disable all traffic from outside the cluster using Firewall Rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.

Answer: B

Explanation:
Migrate the application into an isolated project using a "Lift & Shift" approach. Enable all internal TCP traffic using VPC Firewall rules. Use VPC Flow logs to determine what traffic should be allowed for the application to work properly.

NEW QUESTION # 111
Your DevOps team uses Packer to build Compute Engine images by using this process:
1 Create an ephemeral Compute Engine VM.
2 Copy a binary from a Cloud Storage bucket to the VM's file system.
3 Update the VM's package manager.
4 Install external packages from the internet onto the VM.
Your security team just enabled the organizational policy. consrraints/compure.vnExtemallpAccess. to restrict the usage of public IP Addresses on VMs. In response your DevOps team updated their scripts to remove public IP addresses on the Compute Engine VMs however the build pipeline is failing due to connectivity issues.
What should you do?
Choose 2 answers

A. Provision an HTTP load balancer with the VM in an unmanaged instance group to allow inbound connections from the internet to your VM.
B. Provision a Cloud NAT instance in the same VPC and region as the Compute Engine VM
C. Enable Private Google Access on the subnet that the Compute Engine VM is deployed within.
D. Provision a Cloud VPN tunnel in the same VPC and region as the Compute Engine VM.
E. Update the VPC routes to allow traffic to and from the internet.

Answer: B,C

Explanation:
* Provision a Cloud NAT Instance:
* Cloud NAT (Network Address Translation) allows instances without external IP addresses to access the internet securely.
* In the Google Cloud Console, navigate to the VPC Network section and select Cloud NAT.
* Create a new Cloud NAT configuration, specifying the VPC and region where your Compute Engine VMs are deployed.
* Configure Cloud NAT:
* Ensure that the Cloud NAT instance is configured to provide outbound internet connectivity for the VMs in your specified subnet.
* This setup allows the VMs to access the internet for package updates and external installations without requiring public IP addresses.
* Enable Private Google Access:
* Private Google Access allows VMs in a subnet to reach Google APIs and services using internal IP addresses.
* In the Google Cloud Console, navigate to the VPC Network section and select Subnets.
* Edit the subnet used by your Compute Engine VMs and enable Private Google Access.
* Update DevOps Scripts:
* Ensure that your DevOps scripts are updated to work with the new network configuration.
* Test the build process to confirm that the VMs can access necessary resources and complete the build pipeline successfully.
References:
* Cloud NAT Documentation
* Private Google Access

NEW QUESTION # 112
A customer wants to make it convenient for their mobile workforce to access a CRM web interface that is hosted on Google Cloud Platform (GCP). The CRM can only be accessed by someone on the corporate network. The customer wants to make it available over the internet. Your team requires an authentication layer in front of the application that supports two-factor authentication Which GCP product should the customer implement to meet these requirements?

A. Cloud VPN
B. Cloud Identity-Aware Proxy
C. Cloud Endpoints
D. Cloud Armor

Answer: B

Explanation:
Cloud Identity-Aware Proxy (Cloud IAP) provides a way to control access to your web applications and resources running on Google Cloud. It works by verifying the identity of a user trying to access the application and supports multi-factor authentication (MFA). Cloud IAP can restrict access to users on the corporate network and also supports access over the internet securely.
Steps:
Enable Cloud IAP: In the Google Cloud Console, navigate to the IAP section and enable IAP for your web application.
Configure OAuth Consent Screen: Set up the OAuth consent screen to manage how users grant access.
Set Up Authentication: Use Google Identity Platform to manage users and enable two-factor authentication.
Add Users: Grant users access to the application by adding their identities in the IAP settings.
Reference:
Google Cloud: Identity-Aware Proxy
Setting up IAP

NEW QUESTION # 113
......

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