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Google Professional-Cloud-Security-Engineer Exam is a certification exam designed to test the knowledge and skills of professionals who are responsible for securing cloud-based solutions on the Google Cloud Platform. Professional-Cloud-Security-Engineer exam measures the ability of candidates to design and implement security solutions that are effective in protecting data, applications, and infrastructure in a cloud-based environment. It is a comprehensive exam that covers a range of topics related to cloud security, including identity and access management, network security, data protection, and compliance.

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q308-Q313):

NEW QUESTION # 308
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 automatic text redaction
  • B. Secret Manager
  • C. Cloud Data Loss Prevention with deterministic encryption using AES-SIV
  • D. Cloud Key Management Service
  • E. Cloud Data Loss Prevention with cryptographic hashing

Answer: C,E

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.
References
* Cloud Data Loss Prevention Documentation
* Data Redaction and Masking Techniques


NEW QUESTION # 309
Your security team wants to reduce the risk of user-managed keys being mismanaged and compromised. To achieve this, you need to prevent developers from creating user-managed service account keys for projects in their organization. How should you enforce this?

  • A. Configure Secret Manager to manage service account keys.
  • B. Remove the iam.serviceAccounts.getAccessToken permission from users.
  • C. Enable an organization policy to prevent service account keys from being created.
  • D. Enable an organization policy to disable service accounts from being created.

Answer: C

Explanation:
Explanation
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys
"To prevent unnecessary usage of service account keys, use organization policy constraints: At the root of your organization's resource hierarchy, apply the Disable service account key creation and Disable service account key upload constraints to establish a default where service account keys are disallowed. When needed, override one of the constraints for selected projects to re-enable service account key creation or upload."


NEW QUESTION # 310
You are working with a client that is concerned about control of their encryption keys for sensitive data. The client does not want to store encryption keys at rest in the same cloud service provider (CSP) as the data that the keys are encrypting. Which Google Cloud encryption solutions should you recommend to this client?
(Choose two.)

  • A. Customer-managed encryption keys
  • B. Secret Manager
  • C. Cloud External Key Manager
  • D. Customer-supplied encryption keys.
  • E. Google default encryption

Answer: C,D

Explanation:
For a client concerned about the control of their encryption keys and not wanting to store these keys within the same cloud service provider (CSP) as the data, the following solutions are suitable:
* Customer-supplied encryption keys (A):
* With customer-supplied encryption keys, clients manage their own encryption keys outside of Google Cloud and supply them to encrypt and decrypt data. This ensures that the keys are not stored in Google Cloud, providing full control over the key management process.
* Cloud External Key Manager (D):
* Cloud External Key Manager (EKM) allows clients to integrate an external key management system (KMS) with Google Cloud services. This setup enables the client to keep their encryption keys outside Google Cloud while still allowing the data to be encrypted and decrypted within Google Cloud services. This method offers an additional layer of security and control over the encryption keys.
These options provide robust solutions for clients requiring external key management and enhanced control over their encryption processes.
References
* Customer-Supplied Encryption Keys
* Cloud External Key Manager


NEW QUESTION # 311
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. Use Cloud Storage as a federated Data Source.
  • B. Use a Cloud Hardware Security Module (Cloud HSM).
  • C. Customer-managed encryption keys (CMEK).
  • D. Customer-supplied encryption keys (CSEK).

Answer: C


NEW QUESTION # 312
You are troubleshooting access denied errors between Compute Engine instances connected to a Shared VPC and BigQuery datasets. The datasets reside in a project protected by a VPC Service Controls perimeter. What should you do?

  • A. Create a perimeter bridge between the service project where the Compute Engine instances reside and the perimeter that contains the protected BigQuery datasets.
  • B. Add the service project where the Compute Engine instances reside to the service perimeter.
  • C. Create a service perimeter between the service project where the Compute Engine instances reside and the host project that contains the Shared VPC.
  • D. Add the host project containing the Shared VPC to the service perimeter.

Answer: C


NEW QUESTION # 313
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