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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
Your organization uses Google Workspace Enterprise Edition for authentication. You are concerned about employees leaving their laptops unattended for extended periods of time after authenticating into Google Cloud. You must prevent malicious people from using an employee's unattended laptop to modify their environment.
What should you do?

A. Set the session length timeout for Google Cloud services to a shorter duration.
B. Require strong passwords and 2SV through a security token or Google authenticator.
C. Review and disable unnecessary Google Cloud APIs.
D. Create a policy that requires employees to not leave their sessions open for long durations.

Answer: A

NEW QUESTION # 13
A company is using Google Kubernetes Engine (GKE) with container images of a mission-critical application The company wants to scan the images for known security issues and securely share the report with the security team without exposing them outside Google Cloud.
What should you do?

A. * 1. Get a GitHub subscription.
* 2. Build the images in Cloud Build and store them in GitHub for automatic scanning
* 3. Download the report from GitHub and share with the Security Team
B. 1. Enable Container Threat Detection in the Security Command Center Premium tier.
* 2. Upgrade all clusters that are not on a supported version of GKE to the latest possible GKE version.
* 3. View and share the results from the Security Command Center
C. * 1. Use an open source tool in Cloud Build to scan the images.
* 2. Upload reports to publicly accessible buckets in Cloud Storage by using gsutil
* 3. Share the scan report link with your security department.
D. * 1. Enable vulnerability scanning in the Artifact Registry settings.
* 2. Use Cloud Build to build the images
* 3. Push the images to the Artifact Registry for automatic scanning.
* 4. View the reports in the Artifact Registry.

Answer: D

Explanation:
Explanation
"The service evaluates all changes and remote access attempts to detect runtime attacks in near-real time." :
https://cloud.google.com/security-command-center/docs/concepts-container-threat-detection-overview This has nothing to do with KNOWN security Vulns in images

NEW QUESTION # 14
Your company wants to determine what products they can build to help customers improve their credit scores depending on their age range. To achieve this, you need to join user information in the company's banking app with customers' credit score data received from a third party. While using this raw data will allow you to complete this task, it exposes sensitive data, which could be propagated into new systems.
This risk needs to be addressed using de-identification and tokenization with Cloud Data Loss Prevention while maintaining the referential integrity across the database. Which cryptographic token format should you use to meet these requirements?

A. Cryptographic hashing
B. Secure, key-based hashes
C. Deterministic encryption
D. Format-preserving encryption

Answer: B

NEW QUESTION # 15
A company has been running their application on Compute Engine. A bug in the application allowed a malicious user to repeatedly execute a script that results in the Compute Engine instance crashing. Although the bug has been fixed, you want to get notified in case this hack re-occurs.
What should you do?

A. Log every execution of the script to Stackdriver Logging. Configure BigQuery as a log sink, and create a BigQuery scheduled query to count the number of executions in a specific timeframe.
B. Create an Alerting Policy in Stackdriver using a Process Health condition, checking that the number of executions of the script remains below the desired threshold. Enable notifications.
C. Log every execution of the script to Stackdriver Logging. Create a User-defined metric in Stackdriver Logging on the logs, and create a Stackdriver Dashboard displaying the metric.
D. Create an Alerting Policy in Stackdriver using the CPU usage metric. Set the threshold to 80% to be notified when the CPU usage goes above this 80%.

Answer: D

NEW QUESTION # 16
Your organization s customers must scan and upload the contract and their driver license into a web portal in Cloud Storage. You must remove all personally identifiable information (Pll) from files that are older than 12 months. Also you must archive the anonymized files for retention purposes.
What should you do?

A. Create a Cloud Data Loss Prevention (DLP) inspection job that de-identifies Pll in files created more than 12 months ago and archives them to another Cloud Storage bucket. Delete the original files.
B. Schedule a Cloud Key Management Service (KMS) rotation period of 12 months for the encryption keys of the Cloud Storage files containing Pll to de-identify them Delete the original keys.
C. Set a time to live (TTL) of 12 months for the files in the Cloud Storage bucket that removes PH and moves the files to the archive storage class.
D. Configure the Autoclass feature of the Cloud Storage bucket to de-identify Pll Archive the files that are older than 12 months Delete the original files.

Answer: A

Explanation:
To remove personally identifiable information (PII) from files older than 12 months and archive the anonymized files for retention purposes, you can use Google Cloud Data Loss Prevention (DLP).
* Create a Cloud DLP Inspection Job:
* Go to the Cloud DLP section in the Google Cloud Console.
* Create an inspection job that scans files in your Cloud Storage bucket for PII.
* Configure the job to only target files that are older than 12 months.
* Configure De-identification:
* In the inspection job settings, configure de-identification actions to remove or obfuscate PII in the files.
* Specify the transformation techniques appropriate for your data, such as masking or tokenization.
* Archive Anonymized Files:
* Set up the job to move the de-identified files to another Cloud Storage bucket designated for archival.
* Ensure this bucket has the appropriate retention policies and access controls in place.
* Delete Original Files:
* After de-identification and archiving, configure the job to delete the original files from the source bucket.
This approach ensures that PII is effectively removed from old files and that the anonymized data is securely archived, maintaining compliance with data retention and privacy policies.
References:
* Cloud Data Loss Prevention Documentation
* Setting Up DLP Jobs
* Cloud Storage Documentation

NEW QUESTION # 17
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Pass Guaranteed 2025 Professional-Cloud-Security-Engineer: Google Cloud Certified - Professional Cloud Security Engineer Exam–High-quality Reliable Exam Guide

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q12-Q17):

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