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

Section	Weight	Objectives
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. Cloud Audit Logs and logging configuration 2. Threat detection and response 3. Security Command Center (SCC)
Configuring Access	25%	- Designing access control 1. Identity federation and workload identity 2. IAM roles, permissions, and policies 3. Resource hierarchy and organization policies - Implementing access management 1. Deny policies and conditional access 2. User and group management 3. Service accounts and key management
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
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
Configuring Network Security	20%	- Secure communication 1. Encryption in transit 2. Load balancer security 3. Certificate management - Perimeter security 1. VPC design and private access 2. Identity-Aware Proxy (IAP) 3. Cloud NGFW rules and policies

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q191-Q196):

NEW QUESTION # 191
Your Security team believes that a former employee of your company gained unauthorized access to Google Cloud resources some time in the past 2 months by using a service account key. You need to confirm the unauthorized access and determine the user activity. What should you do?

A. Use the Cloud Data Loss Prevention API to query logs in Cloud Storage.
B. Use the Logs Explorer to search for user activity.
C. Use the Cloud Monitoring console to filter audit logs by user.
D. Use Security Health Analytics to determine user activity.

Answer: B

Explanation:
We use audit logs by searching the Service Account and checking activities in the past 2 months.
(the user identity will not be seen since he used the SA identity but we can make correlations based on ip address, working hour, etc. )

NEW QUESTION # 192
Your organization is worried about recent news headlines regarding application vulnerabilities in production applications that have led to security breaches. You want to automatically scan your deployment pipeline for vulnerabilities and ensure only scanned and verified containers can run in the environment. What should you do?

A. Use Kubernetes role-based access control (RBAC) as the source of truth for cluster access by granting "container.clusters.get" to limited users. Restrict deployment access by allowing these users to generate a kubeconfig file containing the configuration access to the GKE cluster.
B. Enforce the use of Cloud Code for development so users receive real-time security feedback on vulnerable libraries and dependencies before they check in their code.
C. Use gcloud artifacts docker images describe LOCATION-
docker.pkg.dev/PROJECT_ID/REPOSITORY/IMAGE_ID@sha256:HASH --show-package- vulnerability in your CI/CD pipeline, and trigger a pipeline failure for critical vulnerabilities.
D. Enable Binary Authorization and create attestations of scans.

Answer: D

Explanation:
https://cloud.google.com/binary-authorization/docs/attestations

NEW QUESTION # 193
A customer wants to make it convenient for their mobile workforce to access a CRM web interface that is hosted on Google Cloud Platform (GCP). The CRM can only be accessed by someone on the corporate network. The customer wants to make it available over the internet. Your team requires an authentication layer in front of the application that supports two-factor authentication Which GCP product should the customer implement to meet these requirements?

A. Cloud Endpoints
B. Cloud Identity-Aware Proxy
C. Cloud Armor
D. Cloud VPN

Answer: B

Explanation:
Cloud IAP is integrated with Google Sign-in which Multi-factor authentication can be enabled. https://cloud.google.com/iap/docs/concepts-overview

NEW QUESTION # 194
You are developing a new application that uses exclusively Compute Engine VMs. Once a day, this application will execute five different batch jobs. Each of the batch jobs requires a dedicated set of permissions on Google Cloud resources outside of your application. You need to design a secure access concept for the batch jobs that adheres to the least-privilege principle.
What should you do?

A. 1. Create a general service account "g-sa" to orchestrate the batch jobs.
2. Create one service account per batch job "b-sa-[1-5]", and grant only the permissions required to run the individual batch jobs to the service accounts.
3. Grant the Service Account Token Creator role to g-sa. Use g-sa to obtain short-lived access tokens for b-sa-[1-5] and to execute the batch jobs with the permissions of b-sa-[1-5].
B. 1. Create a general service account "g-sa" to execute the batch jobs.
2. Grant the permissions required to execute the batch jobs to g-sa.
3. Execute the batch jobs with the permissions granted to g-sa.
C. 1. Create a workload identity pool and configure workload identity pool providers for each batch job.
2. Assign the workload identity user role to each of the identities configured in the providers.
3. Create one service account per batch job "b-sa-[1-5]", and grant only the permissions required to run the individual batch jobs to the service accounts.
4. Generate credential configuration files for each of the providers. Use these files to execute the batch jobs with the permissions of b-sa-[1-5].
D. 1. Create a general service account "g-sa" to orchestrate the batch jobs.
2. Create one service account per batch job 'b-sa-[1-5]'. Grant only the permissions required to run the individual batch jobs to the service accounts and generate service account keys for each of these service accounts.
3. Store the service account keys in Secret Manager. Grant g-sa access to Secret Manager and run the batch jobs with the permissions of b-sa-[1-5].

Answer: A

Explanation:
This approach adheres to the principle of least privilege by ensuring that each batch job has only the permissions it needs to run. The general service account "g-sa" is used to orchestrate the batch jobs, and the Service Account Token Creator role allows it to obtain short-lived access tokens for the batch job service accounts "b-sa-[1-5]". This setup allows the batch jobs to be executed with the permissions of the respective service accounts.

NEW QUESTION # 195
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 a Cloud Hardware Security Module (Cloud HSM).
B. Customer-supplied encryption keys (CSEK).
C. Use Cloud Storage as a federated Data Source.
D. Customer-managed encryption keys (CMEK).

Answer: D

Explanation:
If you want to manage the key encryption keys used for your data at rest, instead of having Google manage the keys, use Cloud Key Management Service to manage your keys. This scenario is known as customer-managed encryption keys (CMEK). https://cloud.google.com/bigquery/docs/encryption-at-rest

NEW QUESTION # 196
......

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