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

Section	Weight	Objectives
Topic 1: Managing Operations	19%	- Security automation and governance 1. Policy enforcement and compliance monitoring 2. Infrastructure as Code security 3. Binary Authorization and supply chain security - Security monitoring and logging 1. Security Command Center (SCC) 2. Threat detection and response 3. Cloud Audit Logs and logging configuration
Topic 2: Supporting Compliance Requirements	11%	- Audit and assessment 1. Security assessment frameworks 2. Evidence collection and reporting - Regulatory compliance 1. Shared responsibility model 2. Controls for GDPR, HIPAA, PCI DSS, ISO 27001
Topic 3: Ensuring Data Protection	23%	- 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. Retention and deletion policies 2. Sensitive data discovery and classification
Topic 4: Configuring Network Security	20%	- Perimeter security 1. VPC design and private access 2. Cloud NGFW rules and policies 3. Identity-Aware Proxy (IAP) - Secure communication 1. Load balancer security 2. Encryption in transit 3. Certificate management
Topic 5: Configuring Access	25%	- Implementing access management 1. Service accounts and key management 2. User and group management 3. Deny policies and conditional access - Designing access control 1. Identity federation and workload identity 2. IAM roles, permissions, and policies 3. Resource hierarchy and organization policies

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q107-Q112):

NEW QUESTION # 107
You are running code in Google Kubernetes Engine (GKE) containers in Google Cloud that require access to objects stored in a Cloud Storage bucket. You need to securely grant the Pods access to the bucket while minimizing management overhead. What should you do?

A. Create a service account. Grant bucket access to the Pods by using Workload Identity Federation for GKE.
B. Create a service account with keys. Store the keys in Secret Manager. Reference the keys in the Pods.
C. Create a service account with keys. Store the keys in Secret Manager with a 30-day rotation schedule. Reference the keys in the Pods.
D. Create a service account with keys. Store the keys as a Kubernetes secret. Reference the keys in the Pods.

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity

NEW QUESTION # 108
Your organization operates a hybrid cloud environment and has recently deployed a private Artifact Registry repository in Google Cloud. On-premises developers cannot resolve the Artifact Registry hostname and therefore cannot push or pull artifacts. You've verified the following:
Connectivity to Google Cloud is established by Cloud VPN or Cloud Interconnect.
No custom DNS configurations exist on-premises.
There is no route to the internet from the on-premises network.
You need to identify the cause and enable the developers to push and pull artifacts. What is likely causing the issue and what should you do to fix the issue?

A. On-premises DNS servers lack the necessary records to resolve private Google API domains. Create DNS records for restricted.googleapis.com or private.googleapis.com pointing to Google's published IP ranges.
B. Developers must be granted the artifactregistry.writer IAM role. Grant the relevant developer group this role.
C. Artifact Registry requires external HTTP/HTTPS access. Create a new firewall rule allowing ingress traffic on ports 80 and 443 from the developer's IP ranges.
D. Private Google Access is not enabled for the subnet hosting the Artifact Registry. Enable Private Google Access for the appropriate subnet.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The problem is that the on-premises developers cannot resolve the Artifact Registry hostname, and they have no route to the internet. This is a classic DNS resolution problem in a hybrid network using private API access.
Artifact Registry is a Google-managed service, and its hostname (e.g., us-west1-docker.pkg.dev) resolves to a Google API domain. To access Google services privately from an on-premises network without an internet route, the traffic must be directed to Private Google Access IP ranges.
Issue: The on-premises DNS cannot resolve the Google service domain to the required private IP range.
Solution: The on-premises DNS needs a record (or a forwarding rule) to resolve the Google service domain to the dedicated IP ranges used for Private Google Access, specifically restricted.googleapis.com or private.
googleapis.com (which provide the IP addresses for private access).
Extracts (Conceptual Basis):
"To direct traffic privately, you must ensure that your on-premises network's DNS is configured to resolve Google API and service domain names to the IP address range for Private Google Access." (Source 1.1)
"The IP addresses for private.googleapis.com are used for Private Google Access. To enable on-premises hosts to access Google APIs and services using this method, you must configure on-premises DNS to resolve requests for Google API domain names to the IP address range for private.googleapis.com." (Source 1.2) Option B is incorrect because Private Google Access (PGA) is enabled on the VPC subnet, allowing VMs within the VPC to access Google APIs. However, the problem is with the on-premises developers; the on- premises DNS must be configured to resolve the hostname correctly.

NEW QUESTION # 109
Your organization is using Google Workspace. Google Cloud, and a third-party SIEM. You need to export events such as user logins, successful logins, and failed logins to the SIEM. Logs need to be ingested in real time or near real-time. What should you do?

A. Create a Cloud Logging sink to export relevant authentication logs to a Pub/Sub topic for SIEM subscription.
B. Create a Cloud Storage bucket as a sink for all logs. Configure the SIEM to periodically scan the bucket for new log files.
C. Configure Google Workspace to directly send logs to the API endpoint of the third-party SIEM.
D. Poll Cloud Logging for authentication events using the gcloud logging read tool. Forward the events to the SIEM.

Answer: A

Explanation:
The most efficient and recommended way to achieve real-time/near real-time ingestion of logs (including Google Workspace Audit Logs, which feed into Cloud Logging) to a third-party system is by using a Cloud Logging sink to a Pub/Sub topic.
Cloud Logging Sink: Creates a stream of logs filtered by type (e.g., authentication events).
Pub/Sub Topic: A messaging service that acts as a reliable, real-time message queue.
SIEM Subscription: The SIEM system can subscribe directly to the Pub/Sub topic, receiving log events as soon as they are published, meeting the real-time requirement.
Extracts:
"Cloud Logging sinks let you route logs to destinations like Cloud Storage, BigQuery, or Pub/Sub... Routing logs to Pub/Sub enables real-time streaming of log data for consumption by external services or applications, such as a third-party SIEM." (Source 7.1) Option B (polling) and Option D (Cloud Storage bucket) are batch-oriented methods, which do not meet the real-time/near real-time requirement.

NEW QUESTION # 110
Your company is moving to Google Cloud. You plan to sync your users first by using Google Cloud Directory Sync (GCDS). Some employees have already created Google Cloud accounts by using their company email addresses that were created outside of GCDS. You must create your users on Cloud Identity.
What should you do?

A. Write a custom script to identify existing Google Cloud users and call the Admin SDK: Directory API to transfer their account.
B. Configure GCDS and use GCDS search rules to sync these users.
C. Configure GCDS and use GCDS exclusion rules to ensure users are not suspended.
D. Use the transfer tool to migrate unmanaged users.

Answer: D

Explanation:
https://support.google.com/a/answer/7177267?sjid=1548376628970849998-AP

NEW QUESTION # 111
An organization is starting to move its infrastructure from its on-premises environment to Google Cloud Platform (GCP). The first step the organization wants to take is to migrate its current data backup and disaster recovery solutions to GCP for later analysis. The organization's production environment will remain on-premises for an indefinite time. The organization wants a scalable and cost-efficient solution.
Which GCP solution should the organization use?

A. BigQuery using a data pipeline job with continuous updates
B. Cloud Datastore using regularly scheduled batch upload jobs
C. Cloud Storage using a scheduled task and gsutil
D. Compute Engine Virtual Machines using Persistent Disk

Answer: C

Explanation:
A cost efficient disaster recovery solution is needed not a data warehouse.
https://cloud.google.com/solutions/dr-scenarios-planning-guide#use-cloud-storage-as-part-of- your-daily-backup-routine

NEW QUESTION # 112
......

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