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

SectionWeightObjectives
Configuring Access25%- Implementing access management
  • 1. Service accounts and key management
  • 2. User and group management
  • 3. Deny policies and conditional access
- Designing access control
  • 1. IAM roles, permissions, and policies
  • 2. Resource hierarchy and organization policies
  • 3. Identity federation and workload identity
Managing Operations19%- Security automation and governance
  • 1. Binary Authorization and supply chain security
  • 2. Policy enforcement and compliance monitoring
  • 3. Infrastructure as Code security
- Security monitoring and logging
  • 1. Threat detection and response
  • 2. Security Command Center (SCC)
  • 3. Cloud Audit Logs and logging configuration
Supporting Compliance Requirements11%- Regulatory compliance
  • 1. Controls for GDPR, HIPAA, PCI DSS, ISO 27001
  • 2. Shared responsibility model
- Audit and assessment
  • 1. Security assessment frameworks
  • 2. Evidence collection and reporting
Configuring Network Security20%- Perimeter security
  • 1. VPC design and private access
  • 2. Cloud NGFW rules and policies
  • 3. Identity-Aware Proxy (IAP)
- Secure communication
  • 1. Encryption in transit
  • 2. Load balancer security
  • 3. Certificate management
Ensuring Data Protection23%- Encryption implementation
  • 1. Encryption at rest (CMEK, Google-managed keys)
  • 2. Key management and rotation
  • 3. Data loss prevention (DLP)
- Data classification and lifecycle
  • 1. Sensitive data discovery and classification
  • 2. Retention and deletion policies

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q178-Q183):

NEW QUESTION # 178
When working with agents in a support center via online chat, an organization's customers often share pictures of their documents with personally identifiable information (PII). The organization that owns the support center is concerned that the PII is being stored in their databases as part of the regular chat logs they retain for review by internal or external analysts for customer service trend analysis.
Which Google Cloud solution should the organization use to help resolve this concern for the customer while still maintaining data utility?

Answer: C

Explanation:
Reference:
https://cloud.google.com/dlp/docs/deidentify-sensitive-data


NEW QUESTION # 179
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.)

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.
Reference:
Cloud Data Loss Prevention Documentation
Data Redaction and Masking Techniques


NEW QUESTION # 180
Your organization has implemented synchronization and SAML federation between Cloud Identity and Microsoft Active Directory. You want to reduce the risk of Google Cloud user accounts being compromised. What should you do?

Answer: A

Explanation:
https://cloud.google.com/identity/solutions/enforce-mfa#use_security_keys Use security keys We recommend requiring security keys for those employees who create and access data that needs the highest level of security. You should require 2SV for all other employees and encourage them to use security keys.
Security keys offer the most secure form of 2SV. They are based on the open standard developed by Google as part of the Fast Identity Online (FIDO) Alliance. Security keys require a compatible browser on user devices.


NEW QUESTION # 181
In order to meet PCI DSS requirements, a customer wants to ensure that all outbound traffic is authorized.
Which two cloud offerings meet this requirement without additional compensating controls? (Choose two.)

Answer: B,E

Explanation:
App Engine ingress firewall rules are available, but egress rules are not currently available. Per requirements 1.2.1 and 1.3.4, you must ensure that all outbound traffic is authorized. SAQ A-EP and SAQ D-type merchants must provide compensating controls or use a different Google Cloud product. Compute Engine and GKE are the preferred alternatives. https://cloud.google.com/solutions/pci-dss-compliance-in-gcp


NEW QUESTION # 182
Your company requires the security and network engineering teams to identify all network anomalies within and across VPCs, internal traffic from VMs to VMs, traffic between end locations on the internet and VMs, and traffic between VMs to Google Cloud services in production. Which method should you use?

Answer: B

Explanation:
VPC Flow Logs samples each VM's TCP, UDP, ICMP, ESP, and GRE flows. Both inbound and outbound flows are sampled. These flows can be between the VM and another VM, a host in your on-premises data center, a Google service, or a host on the internet.
https://cloud.google.com/vpc/docs/flow-logs


NEW QUESTION # 183
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