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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Cloud Security Engineer Exam |
| Exam Number: | Professional-Cloud-Security-Engineer |
| Real Exam Qty: | 50-60 |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Case studies, Multiple select |
| Exam Price: | 200 USD |
| Available Languages: | English, Portuguese, Spanish, Japanese |
| Recommended Training: | Google Cloud Security Engineer Training Resources Google Cloud Skills Boost - Security Engineer Learning Path |
| Exam Registration: | Kryterion Webassessor Registration Official Google Cloud Certification |
| Sample Questions: | Google Professional-Cloud-Security-Engineer Sample Questions |
| Exam Way: | Online proctored or test center (Kryterion Webassessor) |
| Pre Condition: | No formal prerequisites required. Recommended: 3+ years of industry experience including at least 1 year designing and managing solutions using Google Cloud. |
| Official Syllabus URL: | https://cloud.google.com/certification/cloud-security-engineer |
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Google Professional-Cloud-Security-Engineer Exam is a certification offered by Google for professionals who are responsible for ensuring the security of data and infrastructure in the cloud. Professional-Cloud-Security-Engineer exam is designed to test the candidate’s knowledge and skills in implementing security controls and maintaining compliance in the Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud Security Engineer Exam certification is intended for security engineers, security architects, and other professionals who have experience in cloud security.
NEW QUESTION # 159
Your team needs to configure their Google Cloud Platform (GCP) environment so they can centralize the control over networking resources like firewall rules, subnets, and routes. They also have an on-premises environment where resources need access back to the GCP resources through a private VPN connection. The networking resources will need to be controlled by the network security team.
Which type of networking design should your team use to meet these requirements?
Answer: A
Explanation:
Centralize network control:
Use Shared VPC to connect to a common VPC network. Resources in those projects can communicate with each other securely and efficiently across project boundaries using internal IPs. You can manage shared network resources, such as subnets, routes, and firewalls, from a central host project, enabling you to apply and enforce consistent network policies across the projects.
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#centralize_network_control
NEW QUESTION # 160
Your company's Chief Information Security Officer (CISO) creates a requirement that business data must be stored in specific locations due to regulatory requirements that affect the company's global expansion plans. After working on the details to implement this requirement, you determine the following:
The services in scope are included in the Google Cloud Data Residency Terms.
The business data remains within specific locations under the same organization.
The folder structure can contain multiple data residency locations.
You plan to use the Resource Location Restriction organization policy constraint. At which level in the resource hierarchy should you set the constraint?
Answer: D
Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/defining-locations
NEW QUESTION # 161
You need to audit the network segmentation for your Google Cloud footprint. You currently operate Production and Non-Production infrastructure-as-a-service (IaaS) environments. All your VM instances are deployed without any service account customization.
After observing the traffic in your custom network, you notice that all instances can communicate freely - despite tag-based VPC firewall rules in place to segment traffic properly - with a priority of 1000. What are the most likely reasons for this behavior?
Answer: A,E
NEW QUESTION # 162
Your organization must store highly sensitive data within Google Cloud. You need to design a solution that provides the strongest level of security and control. What should you do?
Answer: B
Explanation:
A more suitable option would involve using Cloud HSMs in conjunction with other strong security measures such as CMEKs and Cloud DLP.
NEW QUESTION # 163
Your company is deploying a large number of containerized applications to GKE The existing CI/CD pipeline uses Cloud Build to construct container images, transfers the images to Artifact Registry, and then deploys the images to GKE You need to ensure that only images that have passed vulnerability scanning and meet specific corporate policies are allowed to be deployed The process needs to be automated and integrated into the existing CI/CD pipeline What should you do?
Answer: C
Explanation:
The problem requires ensuring that only images that have passed vulnerability scanning and meet corporate policies are allowed to be deployed to GKE, with the process being automated and integrated into the existing CI/CD pipeline Binary Authorization: This Google Cloud service is purpose-built to enforce deployment policies on images before they are run on Google Kubernetes Engine (GKE), Cloud Run, and other deployable platforms It acts as a policy gate that prevents the deployment of non-compliant images Extract Reference: "Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE), Cloud Run, and Anthos clusters" and "With Binary Authorization, you can require images to be signed by trusted authorities and enforce validation policies during deployment" (Google Cloud Documentation: "Binary Authorization overview" - https://cloudgooglecom/binary-authorization/docs/overview) Artifact Analysis (part of Container Analysis): Artifact Analysis (which includes Container Analysis) provides vulnerability scanning capabilities for container images stored in Artifact Registry It generates findings and metadata about vulnerabilities Extract Reference: "Container Analysis is a service that scans your images for known vulnerabilities and provides metadata about them" (Google Cloud Documentation: "Overview | Container Analysis" - https://cloudgooglecom/container-analysis/docs/overview) Binary Authorization can be configured to integrate with Artifact Analysis (or other attestors) to check for vulnerability scan results as part of its deployment policy Integration and Automation: Binary Authorization policies can require attestations before deployment An attestation confirms that an image meets specific criteria (eg, it has passed a vulnerability scan, it was signed by an approved CI/CD process, it adheres to corporate policies) Cloud Build can be configured to generate these attestations after a successful vulnerability scan (using Artifact Analysis) This fully automates the process and integrates directly into the CI/CD pipeline Extract Reference: "With Binary Authorization, you create a policy that enforces your requirements The policy defines rules that govern deployment For example, a policy can require all images to be signed by a trusted authority before deployment" (Google Cloud Documentation: "Binary Authorization overview" - https://cloudgooglecom/binary-authorization/docs/overview) Let's evaluate the other options:
A Custom script in Cloud Build Fail the build: While scanning during the build is good practice (shift-left security), failing the build only prevents the image from being pushed It doesn't prevent a developer or an automated process from manually deploying an old or non-compliant image that might already exist in Artifact Registry, or from bypassing the build system The enforcement needs to happen at deployment time B Configure GKE to use only images from a specific trusted Artifact Registry repository Manually inspect all images: Manually inspecting images is not automated and does not scale for a "large number of containerized applications" It also doesn't programmatically enforce vulnerability scan results or corporate policies D Enable Artifact Analysis vulnerability scanning and regularly scan images Remove any images that do not meet before deployment: This describes scanning and remediation, which are important However, it's a reactive approach ("remove any images") rather than a proactive enforcement ("only images that are allowed to be deployed") There's still a window where a non-compliant image could be deployed before it's removed Binary Authorization is the enforcement gate Therefore, configuring Binary Authorization with a policy that integrates with Artifact Analysis (or requires attestations based on its findings) is the most robust, automated, and Google-recommended solution for enforcing deployment policies based on vulnerability scanning and corporate compliance
NEW QUESTION # 164
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