Google - Professional-Cloud-Security-Engineer - Google Cloud Certified - Professional Cloud Security Engineer Exam–High-quality Relevant Exam Dumps

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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q249-Q254):

NEW QUESTION # 249
Your organization has on-premises hosts that need to access Google Cloud APIs You must enforce private connectivity between these hosts minimize costs and optimize for operational efficiency What should you do?

A. Route all on-premises traffic to Google Cloud through a dedicated or Partner interconnect to a VPC with Private Google Access enabled.
B. Enforce a security policy that mandates all applications to encrypt data with a Cloud Key Management. Service (KMS) key before you send it over the network.
C. Route all on-premises traffic to Google Cloud through an IPsec VPN tunnel to a VPC with Private Google Access enabled.
D. Set up VPC peering between the hosts on-premises and the VPC through the internet.

Answer: A

Explanation:
To enforce private connectivity between on-premises hosts and Google Cloud APIs while optimizing for cost and operational efficiency, using a dedicated or Partner Interconnect is the best solution. This setup ensures a reliable, high-bandwidth connection with private IP addressing.
Choose Interconnect Type: Decide between Dedicated Interconnect and Partner Interconnect based on your bandwidth needs and proximity to Google Cloud locations.
Set Up Interconnect:
For Dedicated Interconnect, order circuits through the Google Cloud Console.
For Partner Interconnect, select a supported service provider and order the connection through them.
Configure VPC and Private Google Access:
In your VPC, enable Private Google Access to allow on-premises hosts to access Google APIs privately.
Go to "VPC network" -> "Private Google Access" and enable it for your subnets.
Establish Connectivity: Work with your network team and (if applicable) your Partner Interconnect provider to set up the physical and logical connections.
Test Connectivity: Verify that on-premises hosts can reach Google Cloud services using private IP addresses.
Reference:
Google Cloud Interconnect Overview
Configuring Private Google Access

NEW QUESTION # 250
What is the most effective way to automatically scan environment variables in Cloud Functions for sensitive data and create security findings?

A. Implement regular peer reviews to assess the environment variables and identify secrets in your Cloud Functions. Raise a security incident if secrets are discovered.
B. Use Sensitive Data Protection to scan the environment variables multiple times per day. and create a finding in Security Command Center if secrets are discovered.
C. Integrate dynamic application security testing into the CI/CD pipeline that scans the application code for the Cloud Functions. Fail the build process if secrets are discovered.
D. Implement a Cloud Function that scans the environment variables multiple times a day. and creates a finding in Security Command Center if secrets are discovered.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The problem is the detection of secrets (sensitive data patterns) within the environment variables of deployed resources (Cloud Functions) in a timely, automated manner.
Sensitive Data Protection (SDP), formerly Cloud DLP, is the purpose-built Google Cloud service for scanning and classifying sensitive data patterns. It can be configured to scan code, configuration, or environment variables and integrate its findings directly with Security Command Center (SCC).
Extracts:
"Sensitive Data Protection provides highly configurable, automated detection of sensitive data, including API keys, passwords, and other credentials, using both pre-built and custom infoTypes." (Source 8.1)
"SDP can be integrated with Cloud Functions and other resource configurations to scan environment variables or configuration files for secrets. Violations can be automatically routed to Security Command Center as findings." (Source 8.2) Option D (DAST) scans the application code or running application logic, but the requirement specifies the secrets are in the environment variables, which are part of the configuration/deployment metadata, making SDP the correct detection tool.

NEW QUESTION # 251
You are setting up a CI/CD pipeline to deploy containerized applications to your production clusters on Google Kubernetes Engine (GKE). You need to prevent containers with known vulnerabilities from being deployed. You have the following requirements for your solution:
Must be cloud-native
Must be cost-efficient
Minimize operational overhead
How should you accomplish this? (Choose two.)

A. Use a Cloud Function triggered by log events in Google Cloud's operations suite to automatically scan your container images in Container Registry.
B. Use a cron job on a Compute Engine instance to scan your existing repositories for known vulnerabilities and raise an alert if a non-compliant container image is found.
C. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories repository. Add a step to analyze Container Analysis results before allowing the build to continue.
D. Deploy Jenkins on GKE and configure a CI/CD pipeline to deploy your containers to Container Registry. Add a step to validate your container images before deploying your container to the cluster.
E. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a Binary Authorization policy to block deployments of containers with no attestation in your cluster.

Answer: B,E

NEW QUESTION # 252
An office manager at your small startup company is responsible for matching payments to invoices and creating billing alerts. For compliance reasons, the office manager is only permitted to have the Identity and Access Management (IAM) permissions necessary for these tasks. Which two IAM roles should the office manager have? (Choose two.)

A. Project Creator
B. Billing Account Costs Manager
C. Billing Account User
D. Billing Account Viewer
E. Organization Administrator

Answer: C,E

NEW QUESTION # 253
A database administrator notices malicious activities within their Cloud SQL instance. The database administrator wants to monitor the API calls that read the configuration or metadata of resources. Which logs should the database administrator review?

A. Admin Activity
B. System Event
C. Data Access
D. Access Transparency

Answer: A

Explanation:
* Review Admin Activity logs:
* Admin Activity logs contain entries for API calls that modify or read the configuration or metadata of resources.
* These logs are useful for monitoring and auditing administrative actions, including those that could indicate malicious activity on a Cloud SQL instance.
References:
* Audit Logs: Admin Activity

NEW QUESTION # 254
......

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