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| Vendor: | |
|---|---|
| Exam Code: | Professional-Cloud-Security-Engineer |
| Exam Name: | Professional Cloud Security Engineer |
| Exam Questions: | 266 |
| Last Updated: | November 2, 2025 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | Professional Google Cloud Security Engineers |
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A DevOps team will create a new container to run on Google Kubernetes Engine. As the application will be internet-facing, they want to minimize the attack surface of the container.
What should they do?
To minimize the attack surface of the container for an internet-facing application running on Google Kubernetes Engine (GKE), the best practice is to build small containers using small base images. This approach helps in the following ways:
Reduce Vulnerabilities: Smaller base images contain fewer packages and dependencies, which minimizes the potential vulnerabilities that an attacker could exploit.
Improved Security: Using minimal base images such as distroless or Alpine Linux ensures that only the necessary components are included, reducing the attack surface significantly.
Easier Maintenance: Small containers are easier to maintain and update, ensuring that security patches can be applied quickly without dealing with unnecessary components.
Steps to Implement:
Choose a Minimal Base Image:
Use base images like gcr.io/distroless/base or alpine.
FROM gcr.io/distroless/base COPY myapp /myapp CMD ['/myapp']
Optimize Container Image:
Remove unnecessary tools and libraries.
Use multi-stage builds to keep the final image small.
Regularly Update Base Images:
Keep the base images up-to-date with the latest security patches.
Best Practices for Building Containers
A customer wants to make it convenient for their mobile workforce to access a CRM web interface that is hosted on Google Cloud Platform (GCP). The CRM can only be accessed by someone on the corporate network. The customer wants to make it available over the internet. Your team requires an authentication layer in front of the application that supports two-factor authentication
Which GCP product should the customer implement to meet these requirements?
Cloud Identity-Aware Proxy (Cloud IAP) provides a way to control access to your web applications and resources running on Google Cloud. It works by verifying the identity of a user trying to access the application and supports multi-factor authentication (MFA). Cloud IAP can restrict access to users on the corporate network and also supports access over the internet securely.
Steps:
Enable Cloud IAP: In the Google Cloud Console, navigate to the IAP section and enable IAP for your web application.
Configure OAuth Consent Screen: Set up the OAuth consent screen to manage how users grant access.
Set Up Authentication: Use Google Identity Platform to manage users and enable two-factor authentication.
Add Users: Grant users access to the application by adding their identities in the IAP settings.
Google Cloud: Identity-Aware Proxy
Setting up IAP
As adoption of the Cloud Data Loss Prevention (DLP) API grows within the company, you need to optimize usage to reduce cost. DLP target data is stored in Cloud Storage and BigQuery. The location and region are identified as a suffix in the resource name.
Which cost reduction options should you recommend?
Objective: Optimize the usage of Cloud Data Loss Prevention (DLP) API to reduce costs.
Solution:
rowsLimit and bytesLimitPerFile: These parameters help in sampling data instead of scanning the entire dataset, thereby reducing the amount of data processed.
CloudStorageRegexFileSet: This feature allows you to specify a subset of files to be scanned using regular expressions, limiting the scope and volume of data scanned.
Steps:
Step 1: Set appropriate rowsLimit values for BigQuery data scans to sample rows instead of scanning entire tables.
Step 2: Set bytesLimitPerFile values for Cloud Storage buckets to limit the number of bytes scanned per file.
Step 3: Use CloudStorageRegexFileSet to specify the subset of files to be scanned based on patterns that match the filenames.
By combining these strategies, you effectively reduce the scope and volume of data processed by the DLP API, leading to cost savings.
DLP API Best Practices
Configuring Finding Limits
A customer wants to move their sensitive workloads to a Compute Engine-based cluster using Managed Instance Groups (MIGs). The jobs are bursty and must be completed quickly. They have a requirement to be able to manage and rotate the encryption keys.
Which boot disk encryption solution should you use on the cluster to meet this customer's requirements?
For managing and rotating encryption keys in a Compute Engine-based cluster using Managed Instance Groups (MIGs), Customer-Managed Encryption Keys (CMEK) with Cloud KMS is the appropriate solution.
Set Up Cloud KMS:
Go to the Cloud Console and navigate to Security > Cryptographic Keys.
Create a keyring and a key.
Create and Use CMEK:
While creating or updating a Compute Engine instance, specify the CMEK key.
Example command:
gcloud compute instances create example-instance \ --image-family=debian-9 \ --image-project=debian-cloud \ --boot-disk-kms-key=projects/[PROJECT_ID]/locations/global/keyRings/[KEY_RING]/cryptoKeys/[KEY]
Rotate Keys:
Rotate keys periodically using Cloud KMS by creating new key versions and updating the instances to use the new key versions.
Customer-Managed Encryption Keys (CMEK)
Using Customer-Managed Encryption Keys
In an effort for your company messaging app to comply with FIPS 140-2, a decision was made to use GCP compute and network services. The messaging app architecture includes a Managed Instance Group (MIG) that controls a cluster of Compute Engine instances. The instances use Local SSDs for data caching and UDP for instance-to-instance communications. The app development team is willing to make any changes necessary to comply with the standard
Which options should you recommend to meet the requirements?
To comply with FIPS 140-2 for the messaging app, you need to ensure that both data at rest and data in transit are encrypted according to the standard. Using customer-managed encryption keys (CMEK) ensures that you have control over the encryption keys, and BoringSSL is a library that meets FIPS 140-2 standards for encrypting data in transit.
Steps:
Encrypt Local SSDs: Modify the instance template for the Managed Instance Group (MIG) to use customer-managed encryption keys (CMEK) for encrypting Local SSDs.
Enable BoringSSL: Update the application to use the BoringSSL library for all instance-to-instance communication to ensure that all data in transit is encrypted according to FIPS 140-2 standards.
Google Cloud: Customer-managed encryption keys (CMEK)
BoringSSL documentation
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