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Professional-Cloud-Security-Engineer Study Plan | Exam Professional-Cloud-Security-Engineer Consultant
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The Google Professional-Cloud-Security-Engineer Exam evaluates a candidate's proficiency in areas such as access control, data protection, network security, and incident response management. Successful candidates demonstrate their ability to use various GCP services and tools to secure cloud environments and protect against cyber threats. Google Cloud Certified - Professional Cloud Security Engineer Exam certification also recognizes the candidate's capacity to work collaboratively with other professionals and stakeholders to develop and implement effective security policies and procedures.
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Earning the Google Professional-Cloud-Security-Engineer certification is a great way to advance your career in the cloud security field. It demonstrates to potential employers that you have the skills, knowledge, and experience necessary to secure cloud environments and protect against emerging threats. It also opens up new opportunities for career advancement and higher salaries.
Google Professional-Cloud-Security-Engineer exam is a certification provided by Google Cloud that is aimed at professionals who want to master the complex world of cloud security. Google Cloud Certified - Professional Cloud Security Engineer Exam certification is designed to validate the skills and knowledge required to implement and manage security solutions in the Google Cloud Platform. Professional-Cloud-Security-Engineer Exam covers a wide range of topics, including network security, application security, data encryption, identity and access management, and security operations. Professional-Cloud-Security-Engineer exam follows a scenario-based format and tests the candidate's ability to identify security risks, design and implement security solutions, and monitor and manage security incidents.
Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q192-Q197):
NEW QUESTION # 192
Your organization strives to be a market leader in software innovation. You provided a large number of Google Cloud environments so developers can test the integration of Gemini in Vertex AI into their existing applications or create new projects. Your organization has 200 developers and a five-person security team. You must prevent and detect proper security policies across the Google Cloud environments. What should you do? (Choose 2 answers)
- A. Apply organization policy constraints. Detect and monitor drifts by using Security Health Analytics.
- B. Publish internal policies and clear guidelines to securely develop applications.
- C. Apply a predefined AI-recommended security posture template for Gemini in Vertex AI in Security Command Center Enterprise or Premium tiers.
- D. Implement the least privileged access Identity and Access Management roles to prevent misconfigurations.
- E. Use Cloud Logging to create log filters to detect misconfigurations. Trigger Cloud Run functions to remediate misconfigurations.
Answer: A,D
Explanation:
To maintain proper security policies across numerous Google Cloud environments, especially with a large developer base and a small security team, it's crucial to implement automated and scalable security measures.
Option A: While applying AI-recommended security posture templates can be beneficial, as of now, there isn't a specific predefined template for Gemini in Vertex AI within the Security Command Center.
Option B: Publishing internal policies and guidelines is essential for promoting secure development practices but may not be sufficient alone to enforce or detect security policies.
Option C: Implementing the principle of least privilege through Identity and Access Management (IAM) roles minimizes the risk of misconfigurations and unauthorized access by ensuring users have only the permissions necessary for their tasks.
Option D: Applying organization policy constraints enforces specific configurations and restrictions across projects. Utilizing Security Health Analytics helps in detecting and monitoring deviations from these policies, providing automated insights into potential security issues.
Option E: Using Cloud Logging to detect misconfigurations and triggering Cloud Run functions for remediation introduces complexity and may require significant maintenance, making it less practical for a small security team.
Therefore, Options C and D are the most effective strategies. They provide automated enforcement and monitoring of security policies, aligning with the need for scalable solutions given the organization's size and resources.
Reference:
Identity and Access Management (IAM) Overview
Organization Policy Service Overview
Security Health Analytics Overview
NEW QUESTION # 193
A customer wants to deploy a large number of 3-tier web applications on Compute Engine.
How should the customer ensure authenticated network separation between the different tiers of the application?
- A. Run each tier with its own VM tags, and use tag-based firewall rules.
- B. Run each tier with a different Service Account (SA), and use SA-based firewall rules.
- C. Run each tier in its own Project, and segregate using Project labels.
- D. Run each tier in its own subnet, and use subnet-based firewall rules.
Answer: B
Explanation:
"Isolate VMs using service accounts when possible" "even though it is possible to uses tags for target filtering in this manner, we recommend that you use service accounts where possible. Target tags are not access-controlled and can be changed by someone with the instanceAdmin role while VMs are in service. Service accounts are access-controlled, meaning that a specific user must be explicitly authorized to use a service account. There can only be one service account per instance, whereas there can be multiple tags. Also, service accounts assigned to a VM can only be changed when the VM is stopped." https://cloud.google.com/solutions/best-practices-vpc-design#isolate-vms-service-accounts
NEW QUESTION # 194
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?
- A. Grant Compute Admin role to the networking team for each engineering project
- B. Cloud VPN Gateway between all engineering projects using a hub and spoke model
- C. Shared VPC Network with a host project and service projects
- D. VPC peering between all engineering projects using a hub and spoke model
Answer: C
Explanation:
Reference:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#centralize_network_control
NEW QUESTION # 195
Your team needs to make sure that a Compute Engine instance does not have access to the internet or to any Google APIs or services.
Which two settings must remain disabled to meet these requirements? (Choose two.)
- A. IAM Network User Role
- B. Private Google Access
- C. Public IP
- D. IP Forwarding
- E. Static routes
Answer: B,C
Explanation:
To ensure that a Compute Engine instance does not have access to the internet or to any Google APIs or services, you need to disable the following settings:
Public IP: Disabling the public IP address ensures that the instance does not have a direct connection to the internet. Without a public IP address, the instance cannot be accessed from or communicate with the internet directly.
Private Google Access: Disabling Private Google Access ensures that the instance does not have access to Google APIs and services through the internal Google network. Private Google Access allows instances without a public IP to reach Google APIs and services using private IP addresses, but disabling it will block this path.
Disabling these settings will effectively isolate the instance from both the public internet and Google's internal API services.
Reference:
Google Cloud VPC Documentation - Overview
Configuring Private Google Access
Compute Engine Network Overview
NEW QUESTION # 196
You have created an OS image that is hardened per your organization's security standards and is being stored in a project managed by the security team. As a Google Cloud administrator, you need to make sure all VMs in your Google Cloud organization can only use that specific OS image while minimizing operational overhead. What should you do? (Choose two.)
- A. Grant users the compuce.imageUser role in the OS image project.
- B. Store the image in every project that is spun up in your organization.
- C. Set up an image access organization policy constraint, and list the security team managed project in the projects allow list.
- D. Grant users the compuce.imageUser role in their own projects.
- E. Remove VM instance creation permission from users of the projects, and only allow you and your team to create VM instances.
Answer: A,C
Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints - constraints
/compute.trustedImageProjects
This list constraint defines the set of projects that can be used for image storage and disk instantiation for Compute Engine. If this constraint is active, only images from trusted projects will be allowed as the source for boot disks for new instances.
NEW QUESTION # 197
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