Google Professional Cloud Security Engineer Exam 2025

This is Google Professional Cloud Security Engineer Practice Test.

These mock tests will help you in preparation for the Google Professional Cloud Security Engineer actual exam.

Applied knowledge and skills in the following areas :

Configuring access

Managing Cloud Identity

• Configuring Google Cloud Directory Sync and third-party connectors

• Managing a super administrator account

• Automating the user lifecycle management process

• Administering user accounts and groups programmatically

• Configuring Workforce Identity Federation

Managing service accounts

• Securing and protecting service accounts (including default service accounts)

• Identifying scenarios requiring service accounts

• Creating, disabling, and authorizing service accounts

• Securing, auditing and mitigating the usage of service account keys

• Managing and creating short-lived credentials

• Configuring Workload Identity Federation

• Managing service account impersonation

Managing authentication

• Creating a password and session management policy for user accounts

• Setting up Security Assertion Markup Language (SAML) and OAuth

• Configuring and enforcing two-step verification

Managing and implementing authorization controls

• Managing privileged roles and separation of duties with Identity and Access Management (IAM) roles and permissions

• Managing IAM and access control list (ACL) permissions

• Granting permissions to different types of identities, including using IAM conditions and IAM deny policies

• Designing identity roles at the organization, folder, project, and resource level

• Configuring Access Context Manager

• Applying Policy Intelligence for better permission management

• Managing permissions through groups

Defining resource hierarchy

• Creating and managing organizations at scale

• Managing organization policies for organization folders, projects, and resources

• Using resource hierarchy for access control and permissions inheritance

Securing communications and establishing boundary protection

Designing and configuring perimeter security

• Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Identity-Aware Proxy [IAP], load balancers, and Certificate Authority Service)

• Differentiating between private and public IP addressing

• Configuring web application firewall (Google Cloud Armor)

• Deploying Secure Web Proxy

• Configuring Cloud DNS security settings

• Continually monitoring and restricting configured APIs

Configuring boundary segmentation

• Configuring security properties of a VPC network, VPC peering, Shared VPC, and firewall rules

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

• Configuring VPC Service Controls

Establishing private connectivity

• Designing and configuring private connectivity between VPC networks and Google Cloud projects (Shared VPC, VPC peering, and Private Google Access for on-premises hosts)

• Designing and configuring private connectivity between data centers and VPC network (HA-VPN, IPsec, MACsec, and Cloud Interconnect)

• Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Google Access for on-premises hosts, restricted Google access, Private Service Connect)

• Using Cloud NAT to enable outbound traffic

Ensuring data protection

Protecting sensitive data and preventing data loss

• Inspecting and redacting personally identifiable information (PII)

• Ensuring continuous discovery of sensitive data (structured and unstructured)

• Configuring pseudonymization

• Configuring format-preserving encryption

• Restricting access to BigQuery, Cloud Storage, and Cloud SQL datastores

• Securing secrets with Secret Manager

• Protecting and managing compute instance metadata

Managing encryption at rest, in transit, and in use

• Identifying use cases for Google default encryption, customer-managed encryption keys (CMEK), Cloud External Key Manager (EKM), and Cloud HSM

• Creating and managing encryption keys for CMEK and EKM

• Applying Google's encryption approach to use cases

• Configuring object lifecycle policies for Cloud Storage

• Enabling Confidential Computing

Planning for security and privacy in AI

• Implementing security controls for AI/ML systems (e.g., protecting against unintentional exploitation of data or models)

• Determining security requirements for IaaS-hosted and PaaS-hosted training models

Managing operations

Automating infrastructure and application security

• Automating security scanning for Common Vulnerabilities and Exposures (CVEs) through a continuous integration and delivery (CI/CD) pipeline

• Configuring Binary Authorization to secure GKE clusters or Cloud Run

• Automating virtual machine image creation, hardening, maintenance, and patch management

• Automating container image creation, verification, hardening, maintenance, and patch management

• Managing policy and drift detection at scale (custom organization policies and custom modules for Security Health Analytics)

Configuring logging, monitoring, and detection

• Configuring and analyzing network logs (Firewall Rules Logging, VPC flow logs, Packet Mirroring, Cloud Intrusion Detection System [Cloud IDS], Log Analytics)

• Designing an effective logging strategy

• Logging, monitoring, responding to, and remediating security incidents

• Designing secure access to logs

• Exporting logs to external security systems

• Configuring and analyzing Google Cloud audit logs and data access logs

• Configuring log exports (log sinks and aggregated sinks)

• Configuring and monitoring Security Command Center

Supporting compliance requirements

Determining regulatory requirements for the cloud

● Determining concerns relative to compute, data, network, and storage

● Evaluating the shared responsibility model

● Configuring security controls within cloud environments to support compliance requirements (regionalization of data and services)

● Restricting compute and data for regulatory compliance (Assured Workloads, organizational policies, Access Transparency, Access Approval)

● Determining the Google Cloud environment in scope for regulatory compliance

We recommend you to practice these test before taking your real exam.

This Google Professional Cloud Security Engineer exam gives you the feeling of reality and is a clue to the questions ask in the real Google Professional Cloud Security Engineer exam

These practice tests will help you in preparation for the Google Professional Cloud Security Engineer exam

Upon enrollment, You will receive unlimited access to the tests as well as regular updates.

Official Exam Details:

Exam Name : Professional Cloud Security Engineer

Exam format : multiple choice and multiple select questions

Duration : 120 minutes

Questions: 50-60