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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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Obtaining the Google Cloud Certified - Professional Cloud Security Engineer certification is a great accomplishment for security professionals who work with Google Cloud. The designation showcases an individual's skills and knowledge about implementing and managing cloud security solutions. Google Cloud Certified - Professional Cloud Security Engineer Exam certification is evidence of both practical and theoretical skills necessary for securing Google Cloud infrastructure. With the rising demand for cloud security solutions, this certification can enhance an individual's credentials and open up new career opportunities in the field.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q310-Q315):

NEW QUESTION # 310
You are developing a new application that uses exclusively Compute Engine VMs Once a day. this application will execute five different batch jobs Each of the batch jobs requires a dedicated set of permissions on Google Cloud resources outside of your application. You need to design a secure access concept for the batch jobs that adheres to the least-privilege principle What should you do?

A. * 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2 Create one service account per batch job 'b-sa-[1-5)\ Grant only the permissions required to run the individual batch jobs to the service accounts and generate service account keys for each of these service accounts
* 3. Store the service account keys in Secret Manager. Grant g-sa access to Secret Manager and run the batch jobs with the permissions of b-sa-[1-5].
B. 1. Create a general service account **g-sa" to execute the batch jobs.
* 2 Grant the permissions required to execute the batch jobs to g-sa.
* 3. Execute the batch jobs with the permissions granted to g-sa
C. 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2. Create one service account per batch job Mb-sa-[1-5]," and grant only the permissions required to run the individual batch jobs to the service accounts.
* 3. Grant the Service Account Token Creator role to g-sa Use g-sa to obtain short-lived access tokens for b-sa-[1-5] and to execute the batch jobs with the permissions of b-sa-[1-5].
D. 1. Create a workload identity pool and configure workload identity pool providers for each batch job
* 2 Assign the workload identity user role to each of the identities configured in the providers.
* 3. Create one service account per batch job Mb-sa-[1-5]". and grant only the permissions required to run the individual batch jobs to the service accounts
* 4 Generate credential configuration files for each of the providers Use these files to execute the batch jobs with the permissions of b-sa-[1-5].

Answer: C

NEW QUESTION # 311
Your organization has had a few recent DDoS attacks. You need to authenticate responses to domain name lookups. Which Google Cloud service should you use?

A. Cloud DNS with DNSSEC
B. HTTP(S) Load Balancing
C. Google Cloud Armor
D. Cloud NAT

Answer: A

NEW QUESTION # 312
The security operations team needs access to the security-related logs for all projects in their organization. They have the following requirements:
Follow the least privilege model by having only view access to logs.
Have access to Admin Activity logs.
Have access to Data Access logs.
Have access to Access Transparency logs.
Which Identity and Access Management (IAM) role should the security operations team be granted?

A. roles/logging.viewer
B. roles/logging.privateLogViewer
C. roles/logging.admin
D. roles/viewer

Answer: B

Explanation:
https://cloud.google.com/logging/docs/access-control#considerations roles/logging.privateLogViewer (Private Logs Viewer) includes all the permissions contained by roles/logging.viewer, plus the ability to read Data Access audit logs in the _Default bucket.

NEW QUESTION # 313
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 VPN.
B. Configure the project with Cloud Interconnect.
C. Configure the project with VPC peering.
D. Configure all Compute Engine instances with Private Access.
E. Configure the project with Shared VPC.

Answer: A,B

Explanation:
https://cloud.google.com/solutions/secure-data-workloads-use-cases#gateway-for-hybrid
https://cloud.google.com/solutions/secure-data-workloads-gcp-products#cloud_vpn

NEW QUESTION # 314
An employer wants to track how bonus compensations have changed over time to identify employee outliers and correct earning disparities. This task must be performed without exposing the sensitive compensation data for any individual and must be reversible to identify the outlier.
Which Cloud Data Loss Prevention API technique should you use to accomplish this?

A. CryptoReplaceFfxFpeConfig
B. Redaction
C. Generalization
D. CryptoHashConfig

Answer: A

Explanation:
De-identifying sensitive data Cloud Data Loss Prevention (DLP) can de-identify sensitive data in text content, including text stored in container structures such as tables. De-identification is the process of removing identifying information from data. The API detects sensitive data such as personally identifiable information (PII), and then uses a de-identification transformation to mask, delete, or otherwise obscure the data. For example, de-identification techniques can include any of the following: Masking sensitive data by partially or fully replacing characters with a symbol, such as an asterisk (*) or hash (#). Replacing each instance of sensitive data with a token, or surrogate, string. Encrypting and replacing sensitive data using a randomly generated or pre-determined key. When you de-identify data using the CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig infoType transformations, you can re-identify that data, as long as you have the CryptoKey used to originally de-identify the data. https://cloud.google.com/dlp/docs/deidentify-sensitive-data

NEW QUESTION # 315
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