Professional Cloud Security Engineer Exam Questions

Google Cloud Professional Cloud Security Engineer Certification

Course Description

A Cloud Security Engineer allows organizations to design and implement secure workloads and infrastructure on Google Cloud. Through an understanding of security best practices and industry requirements, this individual designs, develops, and manages a secure solution by using Google security technologies. A Cloud Security Engineer is procient in Identity and Access Management, dening the resource hierarchy and policies, using Google Cloud technologies to provide data protection, conguring network security defenses, monitoring environments for threats, conguring security automation, securing AI workloads, securing the soware supply chain, and enforcing regulatory controls.

What You’ll Learn

• Implement identity and access management (IAM) strategies to control resource access

• Apply network security best practices using VPCs, firewall rules, and private connectivity

• Encrypt data at rest and in transit using Cloud KMS, CMEK, and DLP services

• Monitor and respond to threats using Security Command Center, audit logs, and third-party tools

• Manage regulatory compliance and risk through policy enforcement and secure configurations

Requirements

• Experience with GCP services such as Compute Engine, Cloud Storage, and IAM

• Basic understanding of cloud networking, authentication, and security models

• Familiarity with Linux command-line tools and scripting is helpful

• Access to a Google Cloud account for hands-on practice and labs

Who This Course Is For

• Cloud engineers, architects, and security professionals working with GCP

• Individuals preparing for the Google Cloud Professional Cloud Security Engineer certification exam

• DevOps and SecOps professionals securing infrastructure and applications in cloud environments

• IT professionals expanding into cloud security and compliance roles

Section 1: Configuring Access (~25%)

1.1 Managing Cloud Identity

• Configure Google Cloud Directory Sync and implement single sign-on (SSO) with third-party identity providers

• Manage super administrator accounts

• Automate user lifecycle management

• Administer user accounts and groups programmatically

• Configure Workforce Identity Federation

1.2 Managing Service Accounts

• Secure and protect service accounts, including default accounts

• Identify when to use service accounts

• Create, disable, and authorize service accounts

• Secure, audit, and manage service account keys

• Manage short-lived credentials

• Configure Workload Identity Federation

• Manage service account impersonation

1.3 Managing Authentication

• Define password and session management policies

• Set up SAML and OAuth

• Configure and enforce 2-step verification

1.4 Managing and Implementing Authorization Controls

• Manage IAM roles, permissions, and separation of duties

• Configure IAM and ACL permissions

• Use IAM conditions and deny policies to manage permissions

• Apply least privilege across organization, folder, project, and resource levels

• Configure Access Context Manager

• Apply Policy Intelligence recommendations

• Manage permissions through groups

• Configure Privileged Access Manager and identify use cases

1.5 Defining the Resource Hierarchy

• Manage folders and projects at scale

• Apply organization policies (pre-built and custom) at different hierarchy levels

• Use the resource hierarchy for permission inheritance

Section 2: Securing Communications and Establishing Boundary Protection (~22%)

2.1 Designing and Configuring Perimeter Security

• Configure network perimeter controls (Cloud NGFW, IAP, load balancers, Certificate Authority Service)

• Enable application layer inspection (Layer 7) on Cloud NGFW

• Differentiate between public and private IP addressing

• Configure web application firewalls (Google Cloud Armor)

• Deploy Secure Web Proxy

• Configure Cloud DNS security settings

• Monitor and restrict configured APIs

2.2 Configuring Boundary Segmentation

• Configure security settings for VPC networks, peering, Shared VPC, and firewall rules

• Configure network isolation and data encapsulation for N-tier applications

• Identify use cases and configure VPC Service Controls

2.3 Establishing Private Connectivity

• Set up private connectivity between VPC networks and GCP projects

• Configure HA VPN, Cloud Interconnect, and encryption for private connectivity

• Set up Private Google Access and Private Service Connect

• Use Cloud NAT for outbound traffic

Section 3: Ensuring Data Protection (~23%)

3.1 Protecting Sensitive Data and Preventing Data Loss

• Configure Sensitive Data Protection (SDP) for PII discovery, redaction, pseudonymization, and format-preserving encryption

• Restrict access to services like BigQuery, Cloud Storage, and Cloud SQL

• Secure secrets using Secret Manager

• Protect and manage compute instance metadata

3.2 Managing Encryption at Rest, in Transit, and in Use

• Choose between default encryption, CMEK, and Cloud EKM

• Use software and hardware encryption keys appropriately

• Create, rotate, revoke, and import encryption keys

• Apply encryption methods to use cases

• Configure object lifecycle policies in Cloud Storage

• Enable Confidential Computing

3.3 Securing AI Workloads

• Apply security/privacy controls to protect AI/ML models and data

• Define requirements for IaaS- and PaaS-hosted model training

• Secure Vertex AI workloads

Section 4: Managing Operations (~19%)

4.1 Automating Infrastructure and Application Security

• Automate security scanning for CVEs in CI/CD pipelines

• Configure Binary Authorization for GKE and Cloud Run

• Automate VM/container image creation and patching

• Manage policy drift detection and cloud security posture (e.g., Security Health Analytics, custom org policies/modules)

4.2 Configuring Logging, Monitoring, and Detection

• Analyze logs: Cloud NGFW, VPC Flow Logs, Packet Mirroring, Cloud IDS, Log Analytics

• Design a logging strategy

• Monitor, respond to, and remediate security incidents

• Design secure access to logs

• Export logs to external systems

• Configure Cloud Audit Logs and data access logs

• Set up log sinks and aggregated log exports

• Monitor Security Command Center

Section 5: Supporting Compliance Requirements (~11%)

5.1 Adhering to Regulatory and Industry Standards

• Determine technical needs across compute, data, network, and storage

• Evaluate Google Cloud's shared responsibility model

• Configure security controls to meet compliance (e.g., Assured Workloads, org policies, Access Transparency, Access Approval)

• Define which GCP resources fall within compliance scope

• Map compliance requirements to GCP services and controls (e.g., access segmentation, audit logging)