Real Google Professional-Cloud-Security-Engineer Exam Questions in PDF Format

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

Section	Weight	Objectives
Topic 1: Managing operations	19%	- Automating infrastructure and application security 1. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics) 2. Automating virtual machine and container image creation (hardening, maintenance, patch management) 3. Automating security scanning for CVEs through CI/CD pipelines 4. Configuring Binary Authorization for GKE or Cloud Run
Topic 2: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 2. Protecting and managing compute instance metadata 3. Securing secrets with Secret Manager 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
Topic 3: Configuring access	25%	- Managing Cloud Identity 1. Automating user lifecycle management processes 2. Managing super administrator accounts 3. Administering user accounts and groups programmatically 4. Configuring Workforce Identity Federation 5. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider - Managing service accounts 1. Managing and creating short-lived credentials 2. Identifying scenarios requiring service accounts 3. Creating, disabling, and authorizing service accounts 4. Securing, auditing, and mitigating usage of service account keys 5. Securing and protecting service accounts (including default service accounts)
Topic 4: Configuring network security	19%	- Designing network security 1. Using Cloud NAT to enable outbound traffic 2. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 3. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 4. Configuring load balancing for security (Cloud Armor, SSL policies)
Topic 5: Supporting compliance requirements	14%	- 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

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Real Google Professional-Cloud-Security-Engineer Exam Question Samples For Free

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q55-Q60):

NEW QUESTION # 55
You work for an organization in a regulated industry that has strict data protection requirements.
The organization backs up their data in the cloud. To comply with data privacy regulations, this data can only be stored for a specific length of time and must be deleted after this specific period.
You want to automate the compliance with this regulation while minimizing storage costs. What should you do?

A. Store the data in a Cloud Bigtable table, and set an expiration time on the column families.
B. Store the data in a Cloud Storage bucket, and configure the bucket's Object Lifecycle Management feature.
C. Store the data in a persistent disk, and delete the disk at expiration time.
D. Store the data in a BigQuery table, and set the table's expiration time.

Answer: B

Explanation:
To miminize costs, it's always GCS even though BQ comes as a close 2nd. But, since the question did not specify what kind of data it is (raw files vs tabular data), it is safe to assume GCS is the preferred option with LifeCycle enablement.

NEW QUESTION # 56
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.)

A. The load balancer must be an external HTTP(S) load balancer.
B. The load balancer must use the Premium Network Service Tier.
C. Google Cloud Armor Policy rules can only match on Layer 7 (L7) attributes.
D. The backend service's load balancing scheme must be EXTERNAL.
E. The load balancer must be an external SSL proxy load balancer.

Answer: A,D

Explanation:
Explanation
https://cloud.google.com/armor/docs/security-policy-overview#requirements says: The backend service's load balancing scheme must be EXTERNAL, or EXTERNAL_MANAGED *** if you are using global external HTTP(S) load balancer ***.

NEW QUESTION # 57
You are setting up a CI/CD pipeline to deploy containerized applications to your production clusters on Google Kubernetes Engine (GKE). You need to prevent containers with known vulnerabilities from being deployed. You have the following requirements for your solution:
Must be cloud-native
Must be cost-efficient
Minimize operational overhead
How should you accomplish this? (Choose two.)

A. Use a cron job on a Compute Engine instance to scan your existing repositories for known vulnerabilities and raise an alert if a non-compliant container image is found.
B. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a Binary Authorization policy to block deployments of containers with no attestation in your cluster.
C. Use a Cloud Function triggered by log events in Google Cloud's operations suite to automatically scan your container images in Container Registry.
D. Deploy Jenkins on GKE and configure a CI/CD pipeline to deploy your containers to Container Registry. Add a step to validate your container images before deploying your container to the cluster.
E. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories repository. Add a step to analyze Container Analysis results before allowing the build to continue.

Answer: B,E

Explanation:
* A. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories repository. Add a step to analyze Container Analysis results before allowing the build to continue:
* Use Cloud Build to automate your CI/CD pipeline.
* Integrate Container Analysis to scan container images for vulnerabilities during the build process.
* If vulnerabilities are found, configure the build to fail, preventing deployment of insecure containers.
* E. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a Binary Authorization policy to block deployments of containers with no attestation in your cluster:
* Use Binary Authorization to enforce deploy-time security policies.
* Configure your CI/CD pipeline to generate attestations for container images that pass vulnerability scans.
* Binary Authorization will then block deployments of any containers without valid attestations, ensuring only secure images are deployed.
References:
* Cloud Build Overview
* Container Analysis
* Binary Authorization

NEW QUESTION # 58
You are migrating an application into the cloud. The application will need to read data from a Cloud Storage bucket. Due to local regulatory requirements, you need to hold the key material used for encryption fully under your control and you require a valid rationale for accessing the key material.
What should you do?

A. Encrypt the data in the Cloud Storage bucket by using Customer Managed Encryption Keys.
Configure an IAM deny policy for unauthorized groups.
B. Generate a key in your on-premises environment and store it in a Hardware Security Module (HSM) that is managed on-premises. Use this key as an external key in the Cloud Key Management Service (KMS). Activate Key Access Justifications (KAJ) and set the external key system to reject unauthorized accesses.
C. Encrypt the data in the Cloud Storage bucket by using Customer Managed Encryption Keys backed by a Cloud Hardware Security Module (HSM). Enable data access logs.
D. Generate a key in your on-premises environment to encrypt the data before you upload the data to the Cloud Storage bucket. Upload the key to the Cloud Key Management Service (KMS).
Activate Key Access Justifications (KAJ) and have the external key system reject unauthorized accesses.

Answer: B

NEW QUESTION # 59
Your company is deploying a three-tier web application-web, application, and database-on Google Cloud.
You need to configure network isolation between tiers to minimize the attack surface. The web tier needs to be accessible from the public internet, the application tier should only be accessible from the web tier, and the database tier should only be accessible from the application tier. Your solution must follow Google- recommended practices. What should you do?

A. Create three subnets within the VPC, one for each tier. Create firewall rules that allow traffic on specific ports on each subnet. Use network tags or service accounts on the VMs to apply the firewall rules.
B. Create three subnets within the VPC, one for each tier. Enable Private Google Access on each subnet.Create a single firewall rule allowing all traffic between the subnets.
C. Create a single subnet for all tiers. Create firewall rules that allow all traffic between instances within the same subnet. Use application-level security to prevent unauthorized access.
D. Create three separate VPC networks, one for each tier. Configure VPC Network Peering between the web and application VPCs, and between the application and database VPCs. Use firewall rules to control the traffic.

Answer: A

Explanation:
In Google Cloud, the best practice for micro-segmentation and tier isolation is to use a single VPC with multiple subnets and apply firewall rules using Service Accounts or Network Tags. Using Service Accounts is generally preferred over tags because they are identity-based and more secure.
According to the Google Cloud Security Foundations Guide:
"Segment your VPC networks into subnets to provide logical isolation. Use firewall rules to control traffic between tiers. Instead of relying on IP addresses, use service accounts to define source and destination for firewall rules. This ensures that even if an IP changes, the security policy remains enforced based on the identity of the workload." Implementation Details:
* Web Tier: Use a firewall rule allowing 0.0.0.0/0 (Internet) to the Service Account associated with the web VMs on port 80/443.
* App Tier: Use a firewall rule allowing traffic ONLY from the Web Tier Service Account to the App Tier Service Account.
* DB Tier: Use a firewall rule allowing traffic ONLY from the App Tier Service Account to the DB Tier Service Account.
Reference:
Google Cloud Documentation: "Best practices for VPC design - Use service accounts to restrict traffic" (https://cloud.google.com/vpc/docs/using-firewalls#service-account-vs-tag).
Professional Cloud Security Engineer Study Guide: Section on "Configuring Network Security - Micro- segmentation."

NEW QUESTION # 60
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