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

SectionWeightObjectives
Configuring access25%- Managing Cloud Identity
  • 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 2. Managing super administrator accounts
  • 3. Automating user lifecycle management processes
  • 4. Administering user accounts and groups programmatically
  • 5. Configuring Workforce Identity Federation
- Managing service accounts
  • 1. Managing and creating short-lived credentials
  • 2. Securing and protecting service accounts (including default service accounts)
  • 3. Creating, disabling, and authorizing service accounts
  • 4. Securing, auditing, and mitigating usage of service account keys
  • 5. Identifying scenarios requiring service accounts
Managing operations19%- Automating infrastructure and application security
  • 1. Automating security scanning for CVEs through CI/CD pipelines
  • 2. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 3. Configuring Binary Authorization for GKE or Cloud Run
  • 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
Supporting compliance requirements14%- 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
Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 2. Protecting and managing compute instance metadata
  • 3. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
  • 4. Securing secrets with Secret Manager
Configuring network security19%- Designing network security
  • 1. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 3. Using Cloud NAT to enable outbound traffic
  • 4. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q145-Q150):

NEW QUESTION # 145
Your organization is migrating a complex application to Google Cloud. The application has multiple internal components that interact with each other across several Google Cloud projects.
Security is a major concern, and you must design an authorization scheme for administrators that aligns with the principles of least privilege and separation of duties. What should you do?

Answer: A


NEW QUESTION # 146
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: A

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 # 147
Your company has been creating users manually in Cloud Identity to provide access to Google Cloud resources. Due to continued growth of the environment, you want to authorize the Google Cloud Directory Sync (GCDS) instance and integrate it with your on-premises LDAP server to onboard hundreds of users. You are required to:
- Replicate user and group lifecycle changes from the on-premises LDAP server in Cloud Identity.
- Disable any manually created users in Cloud Identity.
You have already configured the LDAP search attributes to include the users and security groups in scope for Google Cloud. What should you do next to complete this solution?

Answer: D

Explanation:
To achieve the requirement "Disable any manually created users in Cloud Identity", configure GCDS to suspend rather than delete accounts if user accounts are not found in the LDAP directory in GCDS.
Ref: https://support.google.com/a/answer/7177267


NEW QUESTION # 148
A company is deploying their application on Google Cloud Platform. Company policy requires long-term data to be stored using a solution that can automatically replicate data over at least two geographic places.
Which Storage solution are they allowed to use?

Answer: C

Explanation:
Cloud Bigtable is a fully managed NoSQL database service designed to handle large analytical and operational workloads. One of its key features is the ability to replicate data across multiple geographic locations automatically, ensuring high availability and resilience. Here's a detailed explanation:
Replication: Cloud Bigtable supports multi-cluster routing and replication across different geographic regions. This means that data can be replicated across multiple zones within a region or even across regions, providing geo-redundancy.
Automatic Handling: Once configured, Bigtable automatically manages replication without requiring manual intervention. This is in line with the company's policy for long-term data storage that necessitates automatic replication over at least two geographic places.
Use Case Suitability: Bigtable is ideal for applications that require low-latency access to large amounts of data, which makes it suitable for various use cases including analytical applications, IoT, and financial data processing.
Configuration: Setting up replication involves creating instances in multiple zones and configuring them to replicate data. Google Cloud's management interface and APIs make this straightforward to configure and monitor.
Reference:
Google Cloud Bigtable Documentation
Google Cloud Storage Options


NEW QUESTION # 149
You plan to use a Google Cloud Armor policy to prevent common attacks such as cross-site scripting (XSS) and SQL injection (SQLi) from reaching your web application's backend. What are two requirements for using Google Cloud Armor security policies? (Choose two.)

Answer: A,D

Explanation:
Google Cloud Armor helps to protect applications from DDoS attacks and web application firewall (WAF) threats like XSS and SQLi. To use Google Cloud Armor security policies, certain requirements must be met:
* External Load Balancers: Google Cloud Armor is specifically designed to work with external HTTP (S) load balancers, which handle traffic at the edge of the Google Cloud network. This type of load balancer provides a global frontend that can distribute traffic to various backends.
* Load Balancing Scheme: The backend service associated with the Google Cloud Armor policy must have an EXTERNAL load balancing scheme. This scheme allows the service to accept traffic from outside the Google Cloud network, which is necessary for applying security policies effectively at the network edge.
These requirements ensure that Google Cloud Armor can inspect and filter incoming traffic before it reaches your web application's backend services, providing an additional layer of security against common web vulnerabilities.
References
* Google Cloud Armor Documentation
* External HTTP(S) Load Balancing Overview


NEW QUESTION # 150
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