Google Professional Cloud Security Engineer Exam Dumps & Questions 2026
Google Professional Cloud Security Engineer Exam Dumps & Questions 2026
Visit Official SkillCertPro Website :-
For a full set of 1100 questions. Go to
https://skillcertpro.com/product/google-professional-cloud-security-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.
Question 1:
You have an application where the frontend is deployed on a managed instance group in Subnet A, and the data layer is stored on a MySQL Compute Engine virtual machine (VM) in Subnet B within the same VPC.
Both Subnet A and Subnet B contain several other Compute Engine VMs.
You want to ensure that only the application frontend can access the MySQL instance on TCP port 3306.
What should you do?
A. Configure an ingress firewall rule that allows communication from the source IP range of Subnet A to the network tag data-tag applied to the MySQL Compute Engine VM on TCP port 3306.
B. Configure an ingress firewall rule that allows communication from the frontend's unique service account to the unique service account of the MySQL Compute Engine VM on TCP port 3306.
C. Configure a network tag fe-tag to be applied to all instances in Subnet A, and a network tag data-tag to be applied to all instances in Subnet B.
D. Configure a network tag fe-tag to be applied to all instances in Subnet A, and a network tag data-tag to be applied to all instances in Subnet B.
Answer: B
Explanation:
✅ B. Configure an ingress firewall rule that allows communication from the frontend's unique service account to the unique service account of the MySQL Compute Engine VM on TCP port 3306.
The goal is to ensure that only the frontend application can communicate with the MySQL Compute Engine VM, while preventing access from any other VMs, even those located in the same subnet.
The most secure and precise approach is to use service account-based firewall rules.
Unlike IP address or subnet-based rules, service account-based rules provide identity-based access control, allowing access only to VMs running under a specific service account.
This ensures that:
Only the frontend VM can connect to the MySQL VM.
Other VMs in the same subnet cannot access the database.
Access control is based on workload identity rather than network location.
Firewall Configuration
Configure an ingress firewall rule on the MySQL VM with the following settings:
Source filter: Frontend VM's service account
Target filter: MySQL VM's service account
Allowed protocol/port: TCP 3306
❌ A. Use subnet IP ranges or network tags
Subnet-based rules are too broad because all VMs within the subnet would be allowed to access the MySQL VM.
Network tags are more granular than subnet rules but rely on consistent tagging and can accidentally grant access to unintended VMs if tags are misconfigured.
Neither approach provides the same level of precision as service account-based firewall rules.
❌ C. Configure an egress rule from the MySQL VM
An egress firewall rule controls outbound traffic from the MySQL VM.
It does not restrict which VMs can initiate inbound connections to the MySQL instance.
Therefore, it does not meet the requirement to prevent unauthorized VMs from accessing the database.
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account
Question 2:
Which international compliance standard provides guidelines for information security controls applicable to the provision and use of cloud services?
A.ISO 27001
B.ISO 27002
C.ISO 27017
D.ISO 27018
Answer: C
Explanation:
C. ISO 27017
ISO/IEC 27017 provides guidelines for information security controls specifically applicable to cloud services, covering both cloud service providers and cloud service customers. It extends ISO 27002 with cloud-specific controls, which is exactly what the question asks for.
Incorrect:
Option A. ISO 27001
ISO/IEC 27001 defines the requirements for establishing, implementing, maintaining, and continually improving an information security management system (ISMS). It is a certification standard, not a cloud-specific set of security control guidelines.
Option B. ISO 27002
ISO/IEC 27002 provides general information security control guidance applicable across many environments. It does not focus specifically on cloud services or cloud-specific risks and responsibilities.
Option D. ISO 27018
ISO/IEC 27018 focuses on the protection of personally identifiable information (PII) in public cloud environments. While relevant to cloud privacy, it does not provide comprehensive security control guidelines for the overall provision and use of cloud services.
Question 3:
You are responsible for protecting highly sensitive data in BigQuery.
Your operations team needs access to the data, but due to privacy regulations, you must ensure that they cannot view sensitive fields such as email addresses and first names. These sensitive fields should be accessible only on a need-to-know basis by the HR team.
What should you do?
A. Perform data masking with the Cloud DLP API and store the masked data in BigQuery for later use.
B. Perform data redaction with the Cloud DLP API and store the redacted data in BigQuery for later use.
C. Perform data inspection with the Cloud DLP API and store the inspected data in BigQuery for later use.
D. Perform tokenization (pseudonymization) with the Cloud DLP API and store the tokenized data in BigQuery for later use.
Answer: B
Explanation:
B. Perform data redaction with the DLP API and store that data in BigQuery for later use
Data redaction with the Cloud Data Loss Prevention (DLP) API allows you to remove or obfuscate sensitive fields (like email addresses and first names) before storing or sharing data.
This ensures that operations teams can still query and analyze the dataset without seeing personally identifiable information (PII).
HR can be granted access to the original sensitive fields when needed, satisfying the need-to-know principle and regulatory compliance.
Incorrect:
A. Perform data masking with the DLP API and store that data in BigQuery for later use
Data masking replaces sensitive values with fictitious but realistic-looking data.
While useful for testing or non-production environments, masking does not fully meet compliance requirements for restricting access in production analytics.
C. Perform data inspection with the DLP API and store that data in BigQuery for later use
Data inspection only identifies sensitive data; it does not protect or restrict access to it.
Inspection is a detection step, not a protection mechanism.
D. Perform tokenization for pseudonymization with the DLP API and store that data in BigQuery for later use
Tokenization/pseudonymization replaces sensitive data with reversible tokens.
While this can protect data, it requires additional infrastructure to manage token vaults and re-identification, which is more complex than redaction.
Redaction is simpler and more aligned with the exam’s requirement of restricting access to sensitive fields.
Question 4:
Your enterprise plans to migrate the majority of its computing resources to Google Cloud. The organization wants to continue using its existing on-premises Identity and Access Management (IAM) system for user authentication in Google Cloud.
Which two actions should you implement to integrate the enterprise's on-premises IAM system with Google Cloud and establish access control? (Choose two.)
A. Deploy Google Cloud Directory Sync (GCDS) and connect it with your on-premises IAM system and Cloud Identity.
B. Create IAM groups with permissions that correspond to each IAM group from the on-premises IAM system.
C. Use Identity Platform to provision users and groups within Google Cloud.
D. Create IAM roles with permissions that correspond to each IAM group from the on-premises IAM system.
E. Configure Cloud Identity SAML to provision users and groups within Google Cloud.
Answer: A and E
Explanation:
✅ A. Deploy Google Cloud Directory Sync (GCDS), and link it with your on-premises IAM system and Cloud Identity.
Google Cloud Directory Sync (GCDS) synchronizes users and groups from an on-premises directory (such as Active Directory) into Cloud Identity.
This enables organizations to:
Synchronize existing user accounts and groups automatically.
Avoid manually recreating identities in Google Cloud.
Keep identities consistent between the on-premises environment and Google Cloud.
✅ E. Employ Cloud Identity SAML configuration to authenticate users with the on-premises IAM system.
Cloud Identity SAML federation enables users to authenticate to Google Cloud using their existing enterprise credentials.
This allows:
Single Sign-On (SSO) using the organization's existing IAM system.
Authentication with corporate credentials.
Cloud Identity to enforce Google Cloud access control policies after successful authentication.
Together, GCDS and SAML federation provide a secure, scalable, and compliant integration between the enterprise's on-premises IAM system and Google Cloud.
❌ B. Set up IAM groups corresponding to on-premises groups
Manually recreating IAM groups in Google Cloud is not scalable or maintainable.
GCDS provides automated synchronization of users and groups, eliminating the need for manual group creation.
❌ C. Utilize Identity Platform to allocate users and groups
Identity Platform is designed primarily for Customer Identity and Access Management (CIAM).
It is intended for authenticating external users of applications rather than integrating an enterprise's internal IAM system.
Therefore, it is not the appropriate solution for employee authentication.
❌ D. Construct IAM roles aligned with on-premises groups
IAM roles define permissions, not user identities or authentication.
While roles are required for authorization, they do not provide identity synchronization or federation between an on-premises IAM system and Google Cloud.
Therefore, this option does not address the integration requirement.
Question 5:
An organization's security and risk management teams are concerned about understanding the shared responsibility model for production workloads running on Google Cloud Platform (GCP).
The organization primarily uses Platform as a Service (PaaS) offerings, including App Engine.
Which area of the technology stack is the organization's primary responsibility when using App Engine?
A. Configure and monitor VPC Flow Logs.
B. Defend against Cross-Site Scripting (XSS) and SQL Injection (SQLi) attacks.
C. Manage the latest updates and security patches for the guest operating system.
D. Encrypt all stored data.
Answer: B
Explanation:
✅ B. Defending against XSS and SQLi attacks
When using Google App Engine (PaaS), Google is responsible for managing the underlying infrastructure, operating system, and platform security.
The customer's primary responsibility is application-level security, including protecting applications against vulnerabilities such as:
Cross-Site Scripting (XSS)
SQL Injection (SQLi)
These vulnerabilities result from insecure application code and must be prevented through secure development practices, input validation, output encoding, and parameterized queries.
❌ A. Configure and monitor VPC Flow Logs
App Engine abstracts most of the underlying networking infrastructure.
Although organizations may configure VPC Flow Logs for other Google Cloud resources, this is not the customer's primary responsibility when using App Engine.
❌ C. Manage the latest updates and security patches for the guest operating system
In Platform as a Service (PaaS) offerings such as App Engine, Google manages:
The underlying operating system
Security updates
OS patching
Customers are not responsible for maintaining or patching the guest operating system.
❌ D. Encrypt all stored data
Google Cloud automatically encrypts data at rest and in transit by default.
Although customers can choose to manage their own encryption keys (for example, using Customer-Managed Encryption Keys), encryption itself is not their primary responsibility when using App Engine.
For a full set of 1100 questions. Go to
https://skillcertpro.com/product/google-professional-cloud-security-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.
Question 6:
You want to evaluate Google Cloud Platform (GCP) for PCI compliance. You need to identify Google's inherent controls under the shared responsibility model.
Which document should you review to find this information?
A. Google Cloud Platform: Customer Responsibility Matrix
B. PCI DSS Requirements and Security Assessment Procedures
C. PCI SSC Cloud Computing Guidelines
D. Product documentation for Compute Engine
Answer: A
Explanation:
✅ A. Google Cloud Platform: Customer Responsibility Matrix
The Google Cloud Platform Customer Responsibility Matrix is the authoritative document for understanding the shared responsibility model in Google Cloud.
It clearly identifies:
Which security and compliance controls are Google's responsibility (inherent controls).
Which controls are the customer's responsibility.
When evaluating PCI compliance, this matrix helps determine which PCI DSS requirements are addressed by Google Cloud and which must be implemented by the customer.
❌ B. PCI DSS Requirements and Security Assessment Procedures
This is the official PCI DSS standard that defines the compliance requirements.
However, it does not describe Google Cloud's inherent controls or built-in security responsibilities.
It explains what must be achieved for compliance, not how Google Cloud satisfies portions of those requirements.
❌ C. PCI SSC Cloud Computing Guidelines
These guidelines provide general best practices for implementing PCI DSS in cloud environments.
They are vendor-neutral and do not describe Google Cloud-specific controls or responsibilities.
Therefore, they cannot be used to identify Google's inherent controls.
❌ D. Product documentation for Compute Engine
Compute Engine documentation explains service features, configuration options, and operational guidance.
It does not provide a comprehensive mapping of PCI DSS responsibilities or distinguish between Google-managed and customer-managed security controls across Google Cloud services.
Question 7:
To ensure your company's messaging application complies with FIPS 140-2, a decision has been made to use Google Cloud Compute and network services.
The application architecture includes:
A Managed Instance Group (MIG) that manages a cluster of Compute Engine instances.
Local SSDs used for data caching.
UDP for instance-to-instance communication.
The application development team is willing to make any changes necessary to achieve FIPS 140-2 compliance.
Which option should you recommend to meet the requirements?
A. Encrypt all cache storage and VM-to-VM communication using the BoringCrypto module.
B. Configure Disk Encryption on the Instance Template used by the MIG to use Customer-Managed Encryption Keys (CMEK), and use BoringSSL for all data in transit between instances.
C. Change the application's instance-to-instance communication from UDP to TCP, and enable BoringSSL on clients' TLS connections.
D. Configure Disk Encryption on the Instance Template used by the MIG to use Google-Managed Encryption Keys (GMEK), and use the BoringSSL library for all instance-to-instance communications.
Answer: A
Explanation:
✅ A. Encrypt all cache storage and VM-to-VM communication using the BoringCrypto module.
FIPS 140-2 requires that all cryptographic operations use FIPS-validated cryptographic modules.
In Google Cloud, the BoringCrypto module is the FIPS 140-2–validated cryptographic module.
By encrypting:
Cache storage (including data stored on Local SSDs), and
VM-to-VM communications
using BoringCrypto, both data at rest and data in transit are protected using approved cryptographic implementations, directly satisfying the FIPS 140-2 compliance requirement.
❌ B. Configure Disk Encryption to use Customer-Managed Encryption Keys (CMEK) and use BoringSSL for data in transit
Using Customer-Managed Encryption Keys (CMEK) does not automatically provide FIPS 140-2 compliance.
In addition, BoringSSL by itself is not a FIPS-validated cryptographic module.
BoringSSL only satisfies FIPS requirements when operating through the BoringCrypto module.
Therefore, this option does not fully meet the compliance requirement.
❌ C. Change instance-to-instance communication from UDP to TCP and enable BoringSSL on TLS connections
Switching from UDP to TCP does not address FIPS 140-2 requirements.
FIPS 140-2 is concerned with the cryptographic module being used, not the underlying transport protocol.
Simply enabling TLS with BoringSSL, without using the FIPS-validated BoringCrypto module, is insufficient for compliance.
❌ D. Configure Disk Encryption to use Google-Managed Encryption Keys (GMEK) and use the BoringSSL library for instance-to-instance communication
Google-managed encryption keys are acceptable for protecting data at rest.
However, using the BoringSSL library alone does not guarantee FIPS 140-2 compliance.
To meet the standard, cryptographic operations must use the FIPS-validated BoringCrypto module.
As stated, this option does not ensure compliance.
Question 8:
Your organization operates in a highly regulated environment and must comply with strict requirements for protecting customer data.
To meet these compliance requirements, you must ensure that data is encrypted while it is being processed.
What is the best solution to achieve this?
A. Enable Customer-Supplied Encryption Keys (CSEK) for Google Compute Engine VMs, allowing your organization to maintain full control over VM disk encryption.
B. Implement a Confidential VM, which provides a trusted execution environment to secure data while it is being processed.
C. Use a Shielded VM to provide secure boot and integrity monitoring for your application environment.
D. Use Customer-Managed Encryption Keys (CMEK) with Cloud KMS to manage and control encryption for Cloud SQL data.
Answer: B
Explanation:
✅ B. Implement a Confidential VM, which provides a trusted execution environment to secure data while it is being processed.
Google Cloud Confidential VMs are purpose-built to provide encryption in use. They leverage CPU-level technologies such as Secure Encrypted Virtualization (SEV) and Intel Trust Domain Extensions (TDX) to ensure that data stored in a VM's memory remains encrypted while it is being processed.
This protects the contents of memory from unauthorized access, including access by the hypervisor or a compromised guest operating system.
Confidential VMs provide end-to-end protection for data:
At rest
In transit
While in use (processing)
As a result, they are the appropriate solution for meeting strict regulatory and compliance requirements that require customer data to remain protected during processing.
❌ A. Customer-Supplied Encryption Keys (CSEK) on Compute Engine
CSEK allows customers to supply and manage the encryption keys used for disk encryption.
It protects data at rest only.
Once data is loaded into memory for processing, it is no longer protected by CSEK. Therefore, it does not meet the requirement to secure data while it is being processed.
❌ C. Shielded VM
Shielded VMs enhance VM security through features such as:
Secure Boot
Virtual Trusted Platform Module (vTPM)
Integrity monitoring
Root-of-trust attestation
These capabilities help prevent boot-level attacks and detect unauthorized modifications to the VM.
However, Shielded VMs do not encrypt application memory. Data remains in plaintext while the operating system and applications are actively running.
❌ D. Customer-Managed Encryption Keys (CMEK) with Cloud SQL
CMEK allows organizations to manage the encryption keys used to protect Cloud SQL storage.
It encrypts data at rest, but does not encrypt data while it is being processed in memory.
Additionally, CMEK for Cloud SQL protects only Cloud SQL databases and does not provide encryption in use for Compute Engine VMs or other application workloads.
Question 9:
Your organization publishes annual reports that summarize website usage analytics.
To ensure compliance, you must prevent any Personally Identifiable Information (PII) from appearing in the published reports. You are required to use the Cloud Data Loss Prevention (Cloud DLP) API while maintaining the accuracy of the analytics.
What should you do?
A. Use the Cloud DLP API to detect all PII in your storage, and configure a Cloud Function to remove any identified PII.
B. Use the Cloud DLP API to identify and quarantine any PII stored in your data.
C. Use the Cloud DLP API to detect and transform any PII present in your reports.
D. Encrypt any PII in the reports using the Cloud DLP API.
Answer: C
Explanation:
✅ C. Use Cloud Data Loss Prevention (Cloud DLP) in "Inspect-and-Transform" mode
Use Cloud Data Loss Prevention (Cloud DLP) in Inspect-and-Transform mode on the draft report before it is published.
The process consists of two steps:
Inspect
Cloud DLP automatically detects sensitive information by identifying built-in or custom infoTypes, such as:
Names
Email addresses
IP addresses
Other Personally Identifiable Information (PII)
Transform
After detecting sensitive data, Cloud DLP applies de-identification techniques such as:
Redaction
Masking
Deterministic (pseudonymous) replacement
These transformations remove or obfuscate PII while preserving aggregate counts and non-sensitive data, ensuring that the report remains analytically accurate without exposing sensitive information.
Because the transformation is applied only to the report, rather than the underlying datasets, the source data remains unchanged while ensuring that no PII appears in the final published document.
❌ A. Detect then delete PII across storage
Deleting PII from the underlying datasets can:
Break referential integrity.
Distort historical and yearly analytics.
The requirement is to sanitize the published report, not modify the entire data lake.
❌ B. Quarantine PII records
Quarantining removes entire records, not just sensitive fields.
This can skew usage statistics and reduce the accuracy of analytical reports.
❌ D. Encrypt PII in the report
Encrypting PII does not remove it from the published report.
Encrypted values are still present, which does not satisfy the requirement that no PII be included in the published document.
Additionally, encrypted data provides no analytical value to report readers.
Question 10:
Your organization has configured a 100 Gbps Cloud Interconnect connection between Google Cloud and an on-premises edge router.
While verifying connectivity, you confirm that the physical connection is operational, but an error indicates that MACsec is down.
How should you resolve this issue?
A. Verify that the Cloud Interconnect connection is compatible with MACsec.
B. Ensure that the on-premises router is fully operational.
C. Check that the active MACsec pre-shared key has not expired on both the on-premises and Google edge routers.
D. Confirm that the active MACsec pre-shared key is the same on both the on-premises and Google edge routers.
Answer: D
Explanation:
✅ D. Confirm that the active pre-shared key is the same on both the on-premises and Google edge routers.
When Cloud Interconnect reports "MACsec operationally down" while the physical link and LACP are both operational, the most common cause is a key mismatch between the on-premises router and the Google edge router.
According to Google's troubleshooting guidance, you should verify that the following MACsec parameters match on both peers:
Connectivity Association Key (CAK)
Connectivity Association Key Name (CKN)
Key start time
If any of these values differ, the MACsec session cannot be established, even though the underlying network connection remains up.
❌ A. Verify MACsec compatibility
A 100 Gbps Dedicated Cloud Interconnect already supports MACsec.
If there were a compatibility issue, it would typically have appeared when MACsec was initially configured or enabled—not after the physical connection became operational.
❌ B. Ensure the on-premises router is operational
The physical connection and LACP are already up, indicating that:
The router is functioning correctly.
The optics and physical link are operational.
The issue is isolated to the MACsec session, which depends on successful key agreement rather than basic link connectivity.
❌ C. Check whether the active key has expired
Google Cloud MACsec keys do not expire automatically.
A key remains valid until it is explicitly deleted.
Therefore, key expiration cannot cause the MACsec session to go down.
For a full set of 1100 questions. Go to
https://skillcertpro.com/product/google-professional-cloud-security-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.