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

Section	Objectives
Ensure data protection	- Encryption and key management 1. Data loss prevention (DLP) concepts 2. Cloud KMS and key lifecycle management 3. Customer-managed encryption keys (CMEK)
Configure access within a cloud solution environment	- Identity and Access Management (IAM) 1. Manage IAM roles and permissions 2. Service accounts and workload identity 3. Implement least privilege access
Manage operations within a cloud security environment	- Security monitoring and operations 1. Incident response and alerting 2. Security Command Center usage 3. Logging and monitoring with Cloud Logging
Configure network security	- Google Cloud network security controls 1. Cloud Armor and DDoS protection 2. VPC firewall rules 3. Private Google Access and restricted services

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Because the Google Cloud Certified - Professional Cloud Security Engineer Exam (Professional-Cloud-Security-Engineer) test has a restricted time constraint, time management must be exercised to get success. Only with enough practice one can answer real Google Professional-Cloud-Security-Engineer Exam Questions in a given amount of time. It has created three formats to aid Google Professional-Cloud-Security-Engineer applicants in practicing and organizing their time for this aim.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
A customer has an analytics workload running on Compute Engine that should have limited internet access.
Your team created an egress firewall rule to deny (priority 1000) all traffic to the internet.
The Compute Engine instances now need to reach out to the public repository to get security updates. What should your team do?

A. Create an egress firewall rule to allow traffic to the CIDR range of the repository with a priority greater than 1000.
B. Create an egress firewall rule to allow traffic to the CIDR range of the repository with a priority less than 1000.
C. Create an egress firewall rule to allow traffic to the hostname of the repository with a priority less than 1000.
D. Create an egress firewall rule to allow traffic to the hostname of the repository with a priority greater than 1000.

Answer: B

Explanation:
To allow Compute Engine instances to access public repositories for security updates while an egress firewall rule is in place to deny all internet traffic, you need to create a more specific egress rule that permits traffic to the CIDR range of the repository. The priority of this rule should be lower (i.e., a higher priority number) than the deny rule.
Steps:
Identify the CIDR Range: Determine the CIDR range of the public repository from which the security updates will be fetched.
Create Egress Firewall Rule: Create a new egress firewall rule allowing traffic to the identified CIDR range with a priority less than 1000.
Apply Firewall Rule: Use the Google Cloud Console or gcloud command-line tool to apply the new firewall rule.
Reference:
Google Cloud: Firewall rules
Creating firewall rules

NEW QUESTION # 82
Your organization is developing a sophisticated machine learning (ML) model to predict customer behavior for targeted marketing campaigns. The BigQuery dataset used for training includes sensitive personal information. You must design the security controls around the AI/ML pipeline.
Data privacy must be maintained throughout the model's lifecycle and you must ensure that personal data is not used in the training process. Additionally, you must restrict access to the dataset to an authorized subset of people only. What should you do?

A. Deploy the model on Confidential VMs for enhanced protection of data and code while in use.Implement strict Identity and Access Management (IAM) policies to control access to BigQuery.
B. De-identify sensitive data before model training by using Cloud Data Loss Prevention (DLP)APIs.
and implement strict Identity and Access Management (IAM) policies to control access to BigQuery.
C. Implement Identity-Aware Proxy to enforce context-aware access to BigQuery and models based on user identity and device.
D. Implement at-rest encryption by using customer-managed encryption keys (CMEK) for the pipeline. Implement strict Identity and Access Management (IAM) policies to control access to BigQuery.

Answer: B

Explanation:
Data De-identification: De-identifying sensitive data using Cloud DLP APIs ensures that the data used for model training does not contain personally identifiable information (PII). This protects data privacy and reduces the risk of unauthorized access or misuse.
IAM Policies: Implementing strict IAM policies controls access to BigQuery, ensuring that only authorized personnel can access and use the dataset. This further protects data privacy and reduces the risk of unauthorized access.
Comprehensive Approach: This approach combines data de-identification and IAM controls to provide a robust and effective security solution for the AI/ML pipeline.

NEW QUESTION # 83
You need to create a VPC that enables your security team to control network resources such as firewall rules. How should you configure the network to allow for separation of duties for network resources?

A. Set up multiple VPC networks, and set up multi-NIC virtual appliances to connect the networks.
B. Set up VPC Network Peering, and allow developers to peer their network with a Shared VPC.
C. Set up a VPC in a project. Assign the Compute Network Admin role to the security team, and assign the Compute Admin role to the developers.
D. Set up a Shared VPC where the security team manages the firewall rules, and share the network with developers via service projects.

Answer: D

NEW QUESTION # 84
Your organization wants to be compliant with the General Data Protection Regulation (GDPR) on Google Cloud You must implement data residency and operational sovereignty in the EU.
What should you do?
Choose 2 answers

A. Use Cloud IDS to get east-west and north-south traffic visibility in the EU to monitor intra-VPC and mter-VPC communication.
B. Use VPC Flow Logs to monitor intra-VPC and inter-VPC traffic in the EU.
C. Limit the physical location of a new resource with the Organization Policy Service resource locations constraint."
D. Limit Google personnel access based on predefined attributes such as their citizenship or geographic location by using Key Access Justifications
E. Use identity federation to limit access to Google Cloud resources from non-EU entities.

Answer: C,D

Explanation:
https://cloud.google.com/architecture/framework/security/data-residency-sovereignty#manage_your_operational_sovereignty

NEW QUESTION # 85
For compliance reasons, an organization needs to ensure that in-scope PCI Kubernetes Pods reside on "in- scope" Nodes only. These Nodes can only contain the "in-scope" Pods.
How should the organization achieve this objective?

A. Create a node pool with the label inscope: true and a Pod Security Policy that only allows the Pods to run on Nodes with that label.
B. Add a nodeSelector field to the pod configuration to only use the Nodes labeled inscope: true.
C. Run all in-scope Pods in the namespace "in-scope-pci".
D. Place a taint on the Nodes with the label inscope: true and effect NoSchedule and a toleration to match in the Pod configuration.

Answer: B

Explanation:
Explanation
nodeSelector is the simplest recommended form of node selection constraint. You can add the nodeSelector field to your Pod specification and specify the node labels you wantthe target node to have. Kubernetes only schedules the Pod onto nodes that have each of the labels you specify. =>
https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#nodeselector Tolerations are applied to pods. Tolerations allow the scheduler to schedule pods with matching taints. Tolerations allow scheduling but don't guarantee scheduling: the scheduler also evaluates other parameters as part of its function.
=>https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/

NEW QUESTION # 86
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