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Exact Inside Professional-Cloud-Security-Engineer Detailed Study Dumps Questions and Answers

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The Google Professional Cloud Security Engineer certification is designed to equip the individuals with the knowledge and skills required to design, develop and manage secure infrastructure leveraging Google security technologies. To earn this certificate, the candidates need to pass one exam. The qualifying test measures the professionals’ expertise in all the aspects of Cloud Security, including managing identity & access management, utilizing Google technologies to provide data protection, determining the organizational structure & policies, configuring network security defenses, managing incident responses, collecting & analyzing Google Cloud Platform logs, as well as understanding regulatory concerns.

Google Professional-Cloud-Security-Engineer certification is a prestigious certification offered by Google Cloud, which is designed to validate the skills of IT professionals in securing Google Cloud Platform (GCP) solutions. Google Cloud Certified - Professional Cloud Security Engineer Exam certification is aimed at professionals who want to demonstrate their expertise in cloud security and protect cloud-based infrastructure from potential attacks.

Google Cloud Certified - Professional Cloud Security Engineer certification exam is designed for individuals who are responsible for creating and managing Google Cloud security architectures. Google Cloud Certified - Professional Cloud Security Engineer Exam certification exam is ideal for professionals who want to showcase their expertise in securing Google Cloud infrastructure and help organizations maintain compliance with laws and regulations concerning data security. The Professional-Cloud-Security-Engineer Certification is recognized as a benchmark for excellence in cloud security engineering.

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q186-Q191):

NEW QUESTION # 186
Your company has deployed an artificial intelligence model in a central project As this model has a lot of sensitive intellectual property and must be kept strictly isolated from the internet, you must expose the model endpoint only to a defined list of projects in your organization What should you do?

A. Activate Private Google Access in both the model project as well as in each project that needs to connect to the model Create a firewall policy to allow connectivity to Private Google Access addresses
B. Within the model project, create an external Application Load Balancer that points to the model endpoint Create a Cloud Armor policy to restrict IP addresses to Google Cloud
C. Create a central project to host Shared VPC networks that are provided to all other projects Centrally administer all firewall rules in this project to grant access to the model
D. Within the model project, create an internal Application Load Balancer that points to the model endpoint Expose this load balancer with Private Service Connect to a configured list of projects

Answer: D

Explanation:
The problem requires exposing a sensitive AI model endpoint internally (strictly isolated from the internet) to a defined list of projects within the organization Internal Exposure and Isolation: An "internal Application Load Balancer" is suitable for exposing services within your VPC network, ensuring they are not accessible from the internet Private Service Connect (PSC): This is the key technology for securely and privately exposing services from one VPC network (the service producer, where the model is) to other VPC networks (the service consumers, the defined list of projects) within the same or different organizations PSC allows consumers to access services using internal IP addresses, with traffic remaining on Google's private network You can configure a service attachment that points to the internal load balancer, and then permit specific consumer projects to connect to this service attachmentExtract Reference: "Private Service Connect is a capability of Google Cloud networking that allows consumers to access managed services privately from inside their VPC network Similarly, it allows managed service producers to host these services in their own separate VPC networks and offer a private connection to their consumers" (Google Cloud Documentation: "Private Service Connect | VPC" - https://cloudgooglecom/vpc/docs/private-service-connect) Extract Reference: "Private Service Connect endpoints are internal IP addresses in a consumer VPC network that can be directly accessed by clients in that network Endpoints are created by deploying a forwarding rule that references a service attachment or a bundle of Google APIs" (Google Cloud Documentation: "About Private Service Connect | VPC" - https://cloudgooglecom/vpc/docs/private-service-connect) Extract Reference: "Private Service Connect can be used to access managed services that are owned by Google, third-party software as a service (SaaS) companies, or other teams within the consumer's own company Both published services and Google APIs can be targets of Private Service Connect" (Google Cloud Documentation: "About Private Service Connect | VPC" - https://cloudgooglecom/vpc/docs/private-service-connect) Let's evaluate the other options:
A Shared VPC and central firewall rules: While Shared VPC centralizes network management, it does not provide a direct managed service exposure mechanism like PSC for a model endpoint to specific projects It's more about sharing subnets and network resources Administering all firewall rules centrally would also not meet the need for exposing only this specific model to a defined list of projects in a managed, private service pattern B Activate Private Google Access (PGA): Private Google Access allows VMs without external IP addresses to access Google APIs and services (like Cloud Storage, BigQuery, etc) privately from within their VPC network It's for consuming Google services, not for exposing custom services hosted in a Google Cloud project to other projects D External Application Load Balancer + Cloud Armor: An "external Application Load Balancer" exposes the service to the internet While Cloud Armor can restrict access based on IP addresses, it still involves internet exposure, which contradicts the "strictly isolated from the internet" requirement Restricting to "Google Cloud IP addresses" doesn't guarantee access only to a defined list of projects and still exposes the service externally Therefore, creating an internal Application Load Balancer and exposing it via Private Service Connect is the most suitable and secure solution for this scenario

NEW QUESTION # 187
A security audit uncovered several inconsistencies in your project's Identity and Access Management (IAM) configuration. Some service accounts have overly permissive roles, and a few external collaborators have more access than necessary. You need to gain detailed visibility into changes to IAM policies, user activity, service account behavior, and access to sensitive projects. What should you do?

A. Configure Google Cloud Functions to be triggered by changes to IAM policies. Analyze changes by using the policy simulator, send alerts upon risky modifications, and store event details.
B. Deploy the OS Config Management agent to your VMs. Use OS Config Management to create patch management jobs and monitor system modifications.
C. Use Cloud Audit Logs. Create log export sinks to send these logs to a security information and event management (SIEM) solution for correlation with other event sources.
D. Enable the metrics explorer in Cloud Monitoring to follow the service account authentication events and build alerts linked on it.

Answer: C

Explanation:
To address inconsistencies in your project's Identity and Access Management (IAM) configuration and gain comprehensive visibility into IAM policy changes, user activity, service account behavior, and access to sensitive projects, leveraging Google Cloud's auditing capabilities is essential.
* Option A: While Cloud Monitoring's metrics explorer can track certain metrics, it is not designed to provide detailed logs of IAM policy changes or user activities.
* Option B: Cloud Audit Logs offer detailed records of administrative activities, including IAM policy changes and authentications. By creating log export sinks, you can forward these logs to a Security Information and Event Management (SIEM) solution, enabling correlation with other event sources and comprehensive analysis. This approach provides the necessary visibility into IAM configurations and user activities.
* Option C: Triggering Cloud Functions based on IAM policy changes and analyzing them with a policy simulator is a proactive approach. However, it may not provide the depth of historical data and comprehensive analysis capabilities that a SIEM solution offers.
* Option D: Deploying the OS Config Management agent focuses on VM configuration and patch management, which does not directly address IAM policy monitoring or user activity tracking.
Therefore, Option B is the most effective solution to gain detailed visibility into IAM-related activities and address the identified inconsistencies.
References:
* Cloud Audit Logs Overview
* Exporting Logs to a SIEM

NEW QUESTION # 188
A company is running workloads in a dedicated server room. They must only be accessed from within the private company network. You need to connect to these workloads from Compute Engine instances within a Google Cloud Platform project.
Which two approaches can you take to meet the requirements? (Choose two.)

A. Configure the project with Cloud Interconnect.
B. Configure the project with Shared VPC.
C. Configure all Compute Engine instances with Private Access.
D. Configure the project with Cloud VPN.
E. Configure the project with VPC peering.

Answer: C,E

NEW QUESTION # 189
Your organization develops software involved in many open source projects and is concerned about software supply chain threats You need to deliver provenance for the build to demonstrate the software is untampered.
What should you do?

A. * 1. Review the software process.
* 2. Generate private and public key pairs and use Pretty Good Privacy (PGP) protocols to sign the output software artifacts together with a file containing the address of your enterprise and point of contact.
* 3. Publish the PGP signed attestation to your public web page.
B. * 1. Hire an external auditor to review and provide provenance
* 2. Define the scope and conditions.
* 3. Get support from the Security department or representative.
* 4. Publish the attestation to your public web page.
C. * 1, Publish the software code on GitHub as open source.
* 2. Establish a bug bounty program, and encourage the open source community to review, report, and fix the vulnerabilities.
D. * 1- Generate Supply Chain Levels for Software Artifacts (SLSA) level 3 assurance by using Cloud Build.
* 2. View the build provenance in the Security insights side panel within the Google Cloud console.

Answer: D

Explanation:
* Generate Supply Chain Levels for Software Artifacts (SLSA) level 3 assurance by using Cloud Build: SLSA is a framework for ensuring the integrity of software artifacts. By using Cloud Build, you can automate the build process and generate SLSA level 3 compliance, which includes verifiable build steps and provenance.
* View the build provenance in the Security insights side panel within the Google Cloud console:
The build provenance provides a detailed history of how the software was built, including the source code, build process, and any dependencies. This information is accessible through the Security insights side panel in the Google Cloud console, allowing you to verify the integrity and authenticity of your software artifacts.
References
* Supply Chain Levels for Software Artifacts (SLSA) documentation
* Cloud Build documentation
* Security insights in Google Cloud console

NEW QUESTION # 190
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. Use Cloud Storage as a federated Data Source.
C. Customer-managed encryption keys (CMEK).
D. Customer-supplied encryption keys (CSEK).

Answer: C

Explanation:
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 # 191
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