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Skills Measured
This certification exam measures the ability of the professionals to perform a range of technical tasks. Therefore, you need to know the details of the subject areas covered in the test to be able to master the overall content. All in all, the exam contains the following objectives:
Configure Access in a Cloud Solution Environment
- Service Accounts Management: The questions from this domain cover service keys and accounts auditing and automation of rotations of the user-managed service account service and keys. It also measures the understanding of securely managed API access management as well as creation, securing, and authorization of service accounts;
- User Accounts Management: This part evaluates the test takers' ability to design identity roles at organizational and project levels, automate the lifecycle management process of a user, and API usage;
- Authentication Management: This subtopic validates the individuals’ skills in establishing Security Assertion Mark-up Language, creating password policies for user accounts, as well as configuring and enforcing two-factor authentication;
- Cloud Identity Configuration: This area requires that the candidates demonstrate their skills in the management of Cloud Identity, configuration of Google Cloud Directory Sync, and management of the super administrator's account;
- Management and Implementation of Authorization Controls: In this section, the students have to demonstrate their competence in the use of resource hierarchy for access control, separation of duties & privileged roles, and management of IAM permissions with the predefined, custom, and basic roles. It also measures their skills in granting permissions to various identity types and the understanding of the differences between Google Cloud Storage IAM & ACLs;
- Resource Hierarchy Definition: This topic estimates the applicants’ skills in the creation and management of the organization. It measures their understanding of resource structures, security & trust boundaries in Google Cloud projects, as well as usage of resource hierarchy for permission inheritance and access control. Additionally, they have to be able to define and manage organization constraints.
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Training for Your Exam
You can prepare for the Google Professional Cloud Security Engineer exam using a ton of different ways. Firstly, you can opt for the official learning path. This track entails a series of intense hands-on lab lessons, in-person classes, and online training among other resources provided by the vendor itself.
Target Audience
The potential candidates for this certification are the Cloud security engineers who have proficiency in different areas of Cloud Security. They include the definition of organizational policies and structures as well as management of identity & access with the use of the Google technologies to offer data protection. Besides that, they should also have the skills in network security defense configuration, collection and analysis of Google management of incident responses, and the understanding of regulatory issues.
Reference: https://cloud.google.com/certification/cloud-security-engineer
Ensuring Compliance
The last topic of the certification exam evaluates the applicants’ understanding of regulatory concerns as well as compute environment concerns. Specifically, they will need to demonstrate their knowledge of the security shared responsibility model, security guarantees in the framework of Cloud execution environments, security guarantees & constraints for different compute environments (Google Kubernetes Engine, Compute Engine, App Engine), and more.
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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
|
| Topic 2: Configuring network security | 19% | - Designing network security
|
| Topic 3: Ensuring data protection | 23% | - Protecting sensitive data and preventing data loss
|
| Topic 4: Supporting compliance requirements | 14% | - Determining security requirements
|
| Topic 5: Configuring access | 25% | - Managing service accounts
|
Google Cloud Certified - Professional Cloud Security Engineer Sample Questions:
Your company wants to deploy 2-step verification (2SV). The organizational unit (OU) structure of your company is divided into four departmental units: Human Resources. Finance. Engineering, and Marketing.
You need to prevent many access issues from occurring at the same time. Your solution should minimize complexity in management and configuration. What should you do?
- A. Create a single new OU to configure enforcement of 2SV to certain users but not others.
- B. In the Admin console, for each OU, check the checkbox to Allow users to turn on 2-Step Verification and set Enforcement to Off.
- C. In the Admin console, for each OU. uncheck the checkbox to Allow users to turn on 2-Step Verification and set Enforcement to On
- D. Create configuration groups, and enable a phased migration to control the number of individuals in which to enforce 2SV.
Correct Answer: D 🗳️
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You manage one of your organization's Google Cloud projects (Project A). AVPC Service Control (SC) perimeter is blocking API access requests to this project including Pub/Sub. A resource running under a service account in another project (Project B) needs to collect messages from a Pub/Sub topic in your project Project B is not included in a VPC SC perimeter. You need to provide access from Project B to the Pub/Sub topic in Project A using the principle of least Privilege.
What should you do?
- A. Configure an ingress policy for the perimeter in Project A and allow access for the service account in Project B to collect messages.
- B. Create an access level that allows a developer in Project B to subscribe to the Pub/Sub topic that is located in Project A.
- C. Create a perimeter bridge between Project A and Project B to allow the required communication between both projects.
- D. Remove the Pub/Sub API from the list of restricted services in the perimeter configuration for Project A.
Correct Answer: A 🗳️
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Your organization is rolling out a new continuous integration and delivery (CI/CD) process to deploy infrastructure and applications in Google Cloud Many teams will use their own instances of the CI/CD workflow It will run on Google Kubernetes Engine (GKE) The CI/CD pipelines must be designed to securely access Google Cloud APIs What should you do?
- A. * 1 Create individual service accounts (or each deployment pipeline* 2 Add an identifier for the pipeline in the service account naming convention* 3 Ensure each pipeline runs on dedicated pods* 4 Use workload identity to map a deployment pipeline pod with a service account
- B. * 1 Create service accounts for each deployment pipeline* 2 Generate private keys for the service accounts* 3 Securely store the private keys as Kubernetes secrets accessible only by the pods that run the specific deploy pipeline
- C. * 1 Create two service accounts one for the infrastructure and one for the application deployment* 2 Use workload identities to let the pods run the two pipelines and authenticate with the service accounts* 3 Run the infrastructure and application pipelines in separate namespaces
- D. * 1 Create a dedicated service account for the CI/CD pipelines* 2 Run the deployment pipelines in a dedicated nodes pool in the GKE cluster* 3 Use the service account that you created as identity for the nodes in the pool to authenticate to the Google Cloud APIs
Correct Answer: A 🗳️
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You have been tasked with configuring Security Command Center for your organization's Google Cloud environment. Your security team needs to receive alerts of potential crypto mining in the organization's compute environment and alerts for common Google Cloud misconfigurations that impact security. Which Security Command Center features should you use to configure these alerts? (Choose two.)
- A. Security Health Analytics
- B. Container Threat Detection
- C. Google Cloud Armor
- D. Cloud Data Loss Prevention
- E. Event Threat Detection
Correct Answer: A,E 🗳️
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A retail customer allows users to upload comments and product reviews. The customer needs to make sure the text does not include sensitive data before the comments or reviews are published.
Which Google Cloud Service should be used to achieve this?
- A. BigQuery
- B. Cloud Key Management Service
- C. Cloud Data Loss Prevention API
- D. Cloud Security Scanner
Correct Answer: C 🗳️
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