Quiz Google - Professional Professional-Cloud-Security-Engineer - Google Cloud Certified - Professional Cloud Security Engineer Exam Valid Exam Format

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Prerequisites

This Google certification has no official requirements, but it is recommended that the students have at least three years of industry experience and at least one year of work experience in the design and management of solutions with the use of GCP. They should also develop the skills and knowledge of the exam topics before attempting the test.

Ensure Data Protection

Data Loss Prevention with DLP API: This domain measures the examinees’ skills and competence in the configuration of tokenization, identification, and redaction of PII, restriction of access to DLP datasets, and configuration of format preservation substitution;
Management of Encryption at Rest: This part requires the candidates’ knowledge of the use cases for customer-supplied encryption keys, default encryption, and customer-managed encryption keys. It also validates their competence in the creation and management of encryption keys for CSEK and CMEK. In addition, the applicants should have an understanding of envelope encryption, enclave computing, and application secrets management.

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q63-Q68):

NEW QUESTION # 63
A patch for a vulnerability has been released, and a DevOps team needs to update their running containers in Google Kubernetes Engine (GKE).
How should the DevOps team accomplish this?

A. Update the application code or apply a patch, build a new image, and redeploy it.
B. Configure containers to automatically upgrade when the base image is available in Container Registry.
C. Use Puppet or Chef to push out the patch to the running container.
D. Verify that auto upgrade is enabled; if so, Google will upgrade the nodes in a GKE cluster.

Answer: D

NEW QUESTION # 64
You are working with protected health information (PHI) for an electronic health record system. The privacy officer is concerned that sensitive data is stored in the analytics system. You are tasked with anonymizing the sensitive data in a way that is not reversible. Also, the anonymized data should not preserve the character set and length. Which Google Cloud solution should you use?

A. Cloud Data Loss Prevention with Cloud Key Management Service wrapped cryptographic keys
B. Cloud Data Loss Prevention with deterministic encryption using AES-SIV
C. Cloud Data Loss Prevention with format-preserving encryption
D. Cloud Data Loss Prevention with cryptographic hashing

Answer: D

Explanation:
* Use Cloud Data Loss Prevention (DLP) with cryptographic hashing:
* Cloud DLP allows you to de-identify sensitive data using several techniques, including cryptographic hashing.
* Choose a suitable hashing algorithm like SHA-256 for non-reversible anonymization.
* This method converts the original data into a fixed-length hash that does not preserve the original data's format or character set.
* Set up a Cloud DLP job to scan your data sources, identify PHI, and apply the cryptographic hashing transformation.
References:
* Cloud DLP Overview
* De-identification with Cloud DLP

NEW QUESTION # 65
You are deploying a web application hosted on Compute Engine. A business requirement mandates that application logs are preserved for 12 years and data is kept within European boundaries. You want to implement a storage solution that minimizes overhead and is cost-effective. What should you do?

A. Configure a custom retention policy of 12 years on your Google Cloud's operations suite log bucket in the EUROPE-WEST1 region.
B. Use a Pub/Sub topic to forward your application logs to a Cloud Storage bucket in the EUROPE- WEST1 region.
C. Configure your Compute Engine instances to use the Google Cloud's operations suite Cloud Logging agent to send application logs to a custom log bucket in the EUROPE-WEST1 region with a custom retention of 12 years.
D. Create a Cloud Storage bucket to store your logs in the EUROPE-WEST1 region. Modify your application code to ship logs directly to your bucket for increased efficiency.

Answer: C

Explanation:
To fulfill the requirements of preserving logs for 12 years and ensuring data residency within European boundaries, the best approach is to use Google Cloud's operations suite (formerly Stackdriver) with a custom log bucket configured in the desired region.
* Configure Cloud Logging Agent:
* Install and configure the Cloud Logging agent on your Compute Engine instances. This agent collects logs from your application and system and sends them to Google Cloud's operations suite.
* Create a Custom Log Bucket:
* In the Cloud Logging interface, create a custom log bucket in the EUROPE-WEST1 region. This bucket will store your logs and can be configured with a custom retention period.
* Set Custom Retention Policy:
* Configure the retention policy for the custom log bucket to 12 years. This ensures that all logs are preserved for the required duration.
* Ship Logs to the Custom Log Bucket:
* Modify the logging configuration to direct logs from the Cloud Logging agent to the custom log bucket. This can be done through the logging configuration settings in the Cloud Console or by updating the agent configuration files.
This solution minimizes overhead by using managed services and ensures cost-effectiveness by leveraging Cloud Logging's built-in capabilities for log storage and retention management.
References
* Cloud Logging Documentation
* Creating and Managing Logs Buckets

NEW QUESTION # 66
You have just created a new log bucket to replace the _Default log bucket. You want to route all log entries that are currently routed to the _Default log bucket to this new log bucket, in the most efficient manner. What should you do?

A. Create exclusion filters for the _Default sink to prevent it from receiving new logs. Create a user- defined sink, and select the new log bucket as the sink destination.
B. Edit the _Default sink, and select the new log bucket as the sink destination.
C. Create a user-defined sink with inclusion filters copied from the _Default sink. Select the new log bucket as the sink destination.
D. Disable the _Default sink. Create a user-defined sink and select the new log bucket as the sink destination.

Answer: B

Explanation:
https://cloud.google.com/logging/docs/buckets#manage_buckets

NEW QUESTION # 67
Your organization is using GitHub Actions as a continuous integration and delivery (Cl/CD) platform. You must enable access to Google Cloud resources from the Cl/CD pipelines in the most secure way.
What should you do?

A. Configure workload identity federation to use GitHub as an identity pool provider.
B. Create a service account key and add it to the GitHub pipeline configuration file.
C. Configure a Google Kubernetes Engine cluster that uses Workload Identity to supply credentials to GitHub.
D. Create a service account key and add it to the GitHub repository content.

Answer: A

Explanation:
Challenge:
Ensuring secure access to Google Cloud resources from GitHub Actions CI/CD pipelines without directly managing service account keys.
Workload Identity Federation:
Allows for the delegation of access to Google Cloud resources based on federated identities, such as those from GitHub.
Benefits:
This approach eliminates the need to manage service account keys, reducing the risk of key leakage.
It leverages GitHub's identity provider capabilities to authenticate and authorize access.
Steps to Configure Workload Identity Federation:
Step 1: Create a workload identity pool in Google Cloud.
Step 2: Add GitHub as an identity provider within the pool.
Step 3: Configure the necessary permissions and bindings for the identity pool to allow GitHub Actions to access Google Cloud resources.
Step 4: Update the GitHub Actions workflow to use the identity federation for authentication.
Reference:
Workload Identity Federation
Configuring Workload Identity Federation with GitHub

NEW QUESTION # 68
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Quiz Google - Professional Professional-Cloud-Security-Engineer - Google Cloud Certified - Professional Cloud Security Engineer Exam Valid Exam Format

Prerequisites

Ensure Data Protection

Verified Professional-Cloud-Security-Engineer Valid Exam Format & Guaranteed Google Professional-Cloud-Security-Engineer Exam Success with Trustable Certification Professional-Cloud-Security-Engineer Exam Infor

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q63-Q68):

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