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

Section	Weight	Objectives
Topic 1: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Securing secrets with Secret Manager 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 3. Protecting and managing compute instance metadata 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
Topic 2: Supporting compliance requirements	14%	- Determining security requirements 1. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency) 2. Identifying security requirements (e.g., regulatory, compliance) 3. Implementing security controls for Vertex AI and AI/ML workloads
Topic 3: Managing operations	19%	- Automating infrastructure and application security 1. Configuring Binary Authorization for GKE or Cloud Run 2. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics) 3. Automating virtual machine and container image creation (hardening, maintenance, patch management) 4. Automating security scanning for CVEs through CI/CD pipelines
Topic 4: Configuring access	25%	- Managing Cloud Identity 1. Configuring Workforce Identity Federation 2. Automating user lifecycle management processes 3. Administering user accounts and groups programmatically 4. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 5. Managing super administrator accounts - Managing service accounts 1. Creating, disabling, and authorizing service accounts 2. Securing, auditing, and mitigating usage of service account keys 3. Managing and creating short-lived credentials 4. Securing and protecting service accounts (including default service accounts) 5. Identifying scenarios requiring service accounts
Topic 5: Configuring network security	19%	- Designing network security 1. Using Cloud NAT to enable outbound traffic 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 4. Configuring load balancing for security (Cloud Armor, SSL policies)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
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. System Event
B. Access Transparency
C. Admin Activity
D. Data Access

Answer: D

Explanation:
https://cloud.google.com/logging/docs/audit/#data-access
Data Access audit logs contain API calls that read the configuration or metadata of resources, as well as user-driven API calls that create, modify, or read user-provided resource data.

NEW QUESTION # 50
Your organization recently activated the Security Command Center {SCO standard tier. There are a few Cloud Storage buckets that were accidentally made accessible to the public. You need to investigate the impact of the incident and remediate it.
What should you do?

A. * 1 Remove the Identity and Access Management (IAM) granting access to allusers from the buckets
* 2 Apply the organization policy storage. unifromBucketLevelAccess to prevent regressions
* 3 Query the data access logs to report on unauthorized access
B. * 1 Change permissions to limit access for authorized users
* 2 Enforce a VPC Service Controls perimeter around all the production projects to immediately stop any unauthorized access
* 3 Review the administrator activity audit logs to report on any unauthorized access
C. * 1 Change bucket permissions to limit access
* 2 Query the data access audit logs for any unauthorized access to the buckets
* 3 After the misconfiguration is corrected mute the finding in the Security Command Center
D. * 1 Change the bucket permissions to limit access
* 2 Query the buckets usage logs to report on unauthorized access to the data
* 3 Enforce the organization policy storage.publicAccessPrevention to avoid regressions

Answer: C

Explanation:
To investigate and remediate the issue of public access to Cloud Storage buckets, you can follow these steps:
Change Bucket Permissions:
Navigate to the Cloud Storage section in the Google Cloud Console.
For each affected bucket, remove any public access permissions (e.g., removing allUsers or allAuthenticatedUsers from the IAM policy).
Ensure that only authorized users have the necessary permissions to access the buckets.
Query Data Access Audit Logs:
Go to the Logging section in the Google Cloud Console.
Query the audit logs for the affected buckets to identify any unauthorized access. You can use filters to search for access by unauthorized users.
Correct the Misconfiguration:
After correcting the permissions, mute the relevant findings in the Security Command Center to indicate that the issue has been resolved.
This helps in maintaining a clear view of ongoing security issues and ensures the findings are not flagged again unless there's a new occurrence.
By following these steps, you ensure that the buckets are no longer publicly accessible, investigate any potential unauthorized access, and update the Security Command Center status to reflect the resolution of the issue.
Reference:
Cloud Storage IAM Permissions
Viewing Audit Logs
Security Command Center Documentation

NEW QUESTION # 51
Your organization's financial modeling application is already deployed on Google Cloud. The application processes large amounts of sensitive customer financial data. Application code is old and poorly understood by your current software engineers. Recent threat modeling exercises have highlighted the potential risk of sophisticated side-channel attacks against the application while the application is running. You need to further harden the Google Cloud solution to mitigate the risk of these side-channel attacks, ensuring maximum protection for the confidentiality of financial data during processing, while minimizing application problems. What should you do?

A. Migrate the application to Confidential VMs to provide hardware-level encryption of memory and protect sensitive data during processing.
B. Implement a runtime library designed to introduce noise and timing variations into the application's execution which will disrupt side-channel attack.
C. Enforce stricter access controls for Compute Engine instances by using service accounts, least privilege IAM policies, and limit network access.
D. Utilize customer-managed encryption keys (CMEK) to ensure complete control over the encryption process.

Answer: A

Explanation:
https://cloud.google.com/confidential-computing/confidential-vm/docs/confidential-vm-overview
https://cloud.google.com/confidential-computing/confidential-vm/docs

NEW QUESTION # 52
You are working with protected health information (PHI) for an electronic health record system. The privacy officer is concerned that sensitive data is stored in the analytics system. You are tasked with anonymizing the sensitive data in a way that is not reversible. Also, the anonymized data should not preserve the character set and length. Which Google Cloud solution should you use?

A. Cloud Data Loss Prevention with format-preserving encryption
B. Cloud Data Loss Prevention with cryptographic hashing
C. Cloud Data Loss Prevention with Cloud Key Management Service wrapped cryptographic keys
D. Cloud Data Loss Prevention with deterministic encryption using AES-SIV

Answer: B

Explanation:
* Use Cloud Data Loss Prevention (DLP) with cryptographic hashing:
* Cloud DLP allows you to de-identify sensitive data using several techniques, including cryptographic hashing.
* Choose a suitable hashing algorithm like SHA-256 for non-reversible anonymization.
* This method converts the original data into a fixed-length hash that does not preserve the original data's format or character set.
* Set up a Cloud DLP job to scan your data sources, identify PHI, and apply the cryptographic hashing transformation.
References:
* Cloud DLP Overview
* De-identification with Cloud DLP

NEW QUESTION # 53
A large financial institution is moving its Big Data analytics to Google Cloud Platform. They want to have maximum control over the encryption process of data stored at rest in BigQuery.
What technique should the institution use?

A. Customer-managed encryption keys (CMEK).
B. Use a Cloud Hardware Security Module (Cloud HSM).
C. Customer-supplied encryption keys (CSEK).
D. Use Cloud Storage as a federated Data Source.

Answer: A

Explanation:
If you want to manage the key encryption keys used for your data at rest, instead of having Google manage the keys, use Cloud Key Management Service to manage your keys. This scenario is known as customer-managed encryption keys (CMEK).
https://cloud.google.com/bigquery/docs/encryption-at-rest

NEW QUESTION # 54
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