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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
You work for a healthcare provider that is expanding into the cloud to store and process sensitive patient data.
You must ensure the chosen Google Cloud configuration meets these strict regulatory requirements:
* Data must reside within specific geographic regions.
* Certain administrative actions on patient data require explicit approval from designated compliance officers.
* Access to patient data must be auditable.
What should you do?

A. Deploy an Assured Workloads environment in multiple regions for redundancy. Utilize custom IAM roles with granular permissions. Isolate network-level data by using VPC Service Controls.
B. Select multiple standard Google Cloud regions for high availability. Implement Access Control Lists (ACLs) on individual storage objects containing patient data. Enable Cloud Audit Logs.
C. Select a standard Google Cloud region. Restrict access to patient data based on user location and job function by using Access Context Manager. Enable both Cloud Audit Logging and Access Transparency.
D. Deploy an Assured Workloads environment in an approved region. Configure Access Approval for sensitive operations on patient data. Enable both Cloud Audit Logs and Access Transparency.

Answer: D

Explanation:
To ensure compliance with strict regulatory requirements for storing and processing sensitive patient data in the cloud, the following measures should be implemented:
* Assured Workloads: Deploying an Assured Workloads environment in an approved region ensures that data residency requirements are met by restricting data storage and processing to specific geographic locations. Assured Workloads provide predefined controls and configurations tailored to meet regulatory compliance needs.
* Access Approval: Configuring Access Approval ensures that certain administrative actions on patient data require explicit approval from designated compliance officers. This adds a layer of control over sensitive operations, aligning with the need for explicit approvals.
* Cloud Audit Logs and Access Transparency: Enabling Cloud Audit Logs provides a detailed record of actions taken on your data, supporting the requirement for auditability. Access Transparency logs offer visibility into Google's administrative access to your content, enhancing transparency and compliance.
Therefore, Option C is the most appropriate choice, as it comprehensively addresses data residency, administrative control, and auditability requirements.
References:
* Assured Workloads Overview
* Access Approval Documentation
* Cloud Audit Logs Overview
* Access Transparency Overview

NEW QUESTION # 14
Your company's cloud security policy dictates that VM instances should not have an external IP address. You need to identify the Google Cloud service that will allow VM instances without external IP addresses to connect to the internet to update the VMs. Which service should you use?

A. Cloud NAT
B. Identity Aware-Proxy
C. Cloud DNS
D. TCP/UDP Load Balancing

Answer: A

Explanation:
https://cloud.google.com/nat/docs/overview "Cloud NAT (network address translation) lets certain resources without external IP addresses create outbound connections to the internet."

NEW QUESTION # 15
Your organization is transitioning to Google Cloud You want to ensure that only trusted container images are deployed on Google Kubernetes Engine (GKE) clusters in a project. The containers must be deployed from a centrally managed. Container Registry and signed by a trusted authority.
What should you do?
Choose 2 answers

A. Enable Container Threat Detection in the Security Command Center (SCC) for the project.
B. Enable Pod Security standards and set them to Restricted.
C. Create a custom organization policy constraint to enforce Binary Authorization for Google Kubernetes Engine (GKE).
D. Configure the trusted image organization policy constraint for the project.
E. Configure the Binary Authorization policy with respective attestations for the project.

Answer: C,E

Explanation:
* Configure Binary Authorization:
* Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on GKE. It uses attestations to verify the authenticity and integrity of the images.
* Enable Binary Authorization in your project through the Google Cloud Console or using the gcloud command-line tool.
* Define attestation policies that specify which attestors (trusted entities) must sign off on container images before deployment.
* Set Up Attestors:
* Create and configure attestors that will sign the container images. This involves generating cryptographic keys and setting up trusted authorities.
* Attestors can be configured to sign images based on criteria such as vulnerability scanning results, compliance checks, and other security policies.
* Create a Custom Organization Policy Constraint:
* Define an organization policy constraint that enforces Binary Authorization across your GKE clusters.
* This custom constraint ensures that all clusters in the organization must adhere to the Binary Authorization policy, preventing the deployment of unsigned or unauthorized container images.
* Implement and Enforce the Policies:
* Apply the Binary Authorization policy and the organization policy constraint to your GKE clusters.
* Regularly review and update the policies and attestation rules to align with your security and compliance requirements.
References:
* Binary Authorization Documentation
* Creating Attestors
* Organization Policy Constraints

NEW QUESTION # 16
You discovered that sensitive personally identifiable information (PII) is being ingested to your Google Cloud environment in the daily ETL process from an on-premises environment to your BigQuery datasets. You need to redact this data to obfuscate the PII, but need to re-identify it for data analytics purposes. Which components should you use in your solution? (Choose two.)

A. Cloud Data Loss Prevention with deterministic encryption using AES-SIV
B. Secret Manager
C. Cloud Data Loss Prevention with automatic text redaction
D. Cloud Data Loss Prevention with cryptographic hashing
E. Cloud Key Management Service

Answer: A,D

Explanation:
To handle PII data ingestion and ensure both redaction and re-identification for analytics purposes, you can use Cloud Data Loss Prevention (DLP) with appropriate techniques for masking and encryption.
Cloud Data Loss Prevention (DLP) with Cryptographic Hashing (C):
Use Cloud DLP to apply cryptographic hashing to PII data. Hashing transforms the data into a fixed-length string that is not directly readable, providing a layer of obfuscation. This helps in masking the PII while retaining the ability to verify data integrity.
Cloud Data Loss Prevention (DLP) with Deterministic Encryption using AES-SIV (E):
Apply deterministic encryption using AES-SIV through Cloud DLP. Deterministic encryption ensures that the same input will always produce the same encrypted output, allowing you to re-identify the PII when necessary. This method enables secure encryption while allowing data re-identification for analytics.
By combining these two approaches, you can effectively mask PII for privacy protection and later re-identify it when required for analysis.
Reference:
Cloud Data Loss Prevention Documentation
Data Redaction and Masking Techniques

NEW QUESTION # 17
A company is backing up application logs to a Cloud Storage bucket shared with both analysts and the administrator. Analysts should only have access to logs that do not contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible by the administrator.
What should you do?

A. On the bucket shared with both the analysts and the administrator, configure a Cloud Storage Trigger that is only triggered when PII data is uploaded. Use Cloud Functions to capture the trigger and delete such files.
B. Use Cloud Pub/Sub and Cloud Functions to trigger a Data Loss Prevention scan every time a file is uploaded to the shared bucket. If the scan detects PII, have the function move into a Cloud Storage bucket only accessible by the administrator.
C. On the bucket shared with both the analysts and the administrator, configure Object Lifecycle Management to delete objects that contain any PII.
D. Upload the logs to both the shared bucket and the bucket only accessible by the administrator. Create a job trigger using the Cloud Data Loss Prevention API. Configure the trigger to delete any files from the shared bucket that contain PII.

Answer: B

Explanation:
Explanation
https://codelabs.developers.google.com/codelabs/cloud-storage-dlp-functions#0https://www.youtube.com/watch

NEW QUESTION # 18
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