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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.
The Google Professional-Cloud-Security-Engineer exam is designed to be challenging, and individuals are required to demonstrate their ability to apply their knowledge to real-world scenarios. Professional-Cloud-Security-Engineer exam is also designed to be fair and unbiased, and Google Cloud takes steps to ensure that the exam is free from any kind of bias or discrimination.
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Google Professional-Cloud-Security-Engineer Exam is a certification exam that tests the knowledge and skills of security engineers who are responsible for implementing and maintaining security in Google Cloud Platform. It is designed for professionals who have experience in the field of cloud security and want to validate their skills and knowledge.
NEW QUESTION # 156
What are the steps to encrypt data using envelope encryption?
Answer: A
Explanation:
* Objective: Encrypt data using envelope encryption.
* Solution: Follow the envelope encryption process.
* Steps:
* Step 1: Generate a Data Encryption Key (DEK) locally. The DEK is used to encrypt the actual data.
* Step 2: Encrypt the data using the DEK.
* Step 3: Use a Key Encryption Key (KEK) to wrap the DEK. The KEK is used to encrypt the DEK.
* Step 4: Store the encrypted data and the wrapped DEK. This ensures that the data can be securely decrypted in the future using the KEK to unwrap the DEK.
Envelope encryption enhances security by adding an additional layer of encryption to the data encryption key, which is particularly useful for managing large volumes of encrypted data.
References:
* Envelope Encryption Overview
* Google Cloud Key Management Service Documentation
NEW QUESTION # 157
A company is backing up application logs to a Cloud Storage bucket shared with both analysts and the administrator. Analysts should only have access to logs that do not contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible by the administrator.
What should you do?
Answer: C
NEW QUESTION # 158
An engineering team is launching a web application that will be public on the internet. The web application is hosted in multiple GCP regions and will be directed to the respective backend based on the URL request.
Your team wants to avoid exposing the application directly on the internet and wants to deny traffic from a specific list of malicious IP addresses Which solution should your team implement to meet these requirements?
Answer: C
Explanation:
Reference:
https://cloud.google.com/armor/docs/security-policy-concepts
NEW QUESTION # 159
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?
Answer: C
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 # 160
You are running code in Google Kubernetes Engine (GKE) containers in Google Cloud that require access to objects stored in a Cloud Storage bucket. You need to securely grant the Pods access to the bucket while minimizing management overhead. What should you do?
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity
NEW QUESTION # 161
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