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To prepare for the Google Professional-Cloud-Security-Engineer Certification Exam, candidates should review the exam objectives and study the relevant Google Cloud Platform documentation. Google also offers training courses and resources to help candidates prepare for the exam. Additionally, candidates can take practice exams to gauge their readiness for the actual exam. It is recommended that candidates have hands-on experience with Google Cloud Platform and its security features before taking the exam.

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
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?

A. Use rowsLimit and bytesLimitPerFile to sample data and use CloudStorageRegexFileSet to limit scans.
B. Use FindingLimits and TimespanContfig to sample data and minimize transformation units.
C. Set appropriate rowsLimit value on BigQuery data hosted outside the US, and minimize transformation units on multiregional Cloud Storage buckets.
D. Set appropriate rowsLimit value on BigQuery data hosted outside the US and set appropriate bytesLimitPerFile value on multiregional Cloud Storage buckets.

Answer: A

Explanation:
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.
Reference:
DLP API Best Practices
Configuring Finding Limits

NEW QUESTION # 35
Your team wants to limit users with administrative privileges at the organization level Which two roles should your team restrict? (Choose two.)

A. Compute Admin
B. Organization Role Viewer
C. GKE Cluster Admin
D. Organization Administrator
E. Super Admin

Answer: D,E

Explanation:
Explanation/Reference: https://cloud.google.com/resource-manager/docs/creating-managing-organization

NEW QUESTION # 36
Your organization's application is being integrated with a partner application that requires read access to customer data to process customer orders. The customer data is stored in one of your Cloud Storage buckets.
You have evaluated different options and determined that this activity requires the use of service account keys. You must advise the partner on how to minimize the risk of a compromised service account key causing a loss of data. What should you advise the partner to do?

A. Ensure that all data for the application that is accessed through the relevant service accounts is encrypted at rest by using customer-managed encryption keys (CMEK).
B. Implement a secret management service. Configure the service to frequently rotate the service account key. Configure proper access control to the key, and restrict who can create service account keys.
C. Scan the Cloud Storage bucket with Sensitive Data Protection when new data is added, and automatically mask all customer data.
D. Define a VPC Service Controls perimeter, and restrict the Cloud Storage API. Add an ingress rule to the perimeter to allow access to the Cloud Storage API for the service account from outside of the perimeter.

Answer: B

Explanation:
When integrating applications that require access to sensitive data stored in Cloud Storage, managing service account keys securely is crucial to prevent unauthorized access or data loss.
* Option A: Defining a VPC Service Controls perimeter enhances security by restricting access to Google Cloud services. However, configuring ingress rules to allow external access for the service account may introduce complexities and potential security gaps, especially if the partner's infrastructure is outside the defined perimeter.
* Option B: Scanning and masking customer data addresses data sensitivity but does not mitigate risks associated with compromised service account keys. This approach focuses on data content rather than access control mechanisms.
* Option C: Encrypting data at rest using customer-managed encryption keys (CMEK) ensures data confidentiality but does not directly address the security of service account keys or access controls.
* Option D: Implementing a secret management service to handle service account keys is a best practice.
By configuring the service to frequently rotate keys, you reduce the window of opportunity for malicious actors to exploit compromised keys. Additionally, enforcing strict access controls ensures that only authorized personnel can create or manage service account keys, minimizing the risk of unauthorized access. This approach directly addresses the security concerns related to service account key management.
Therefore, Option D is the most appropriate recommendation, as it focuses on securely managing service account keys through rotation and access controls, thereby minimizing the risk of data loss due to compromised keys.
References:
* Best Practices for Managing Service Account Keys
* Secret Manager Documentation

NEW QUESTION # 37
Your organization's record data exists in Cloud Storage. You must retain all record data for at least seven years. This policy must be permanent.
What should you do?

A. 1. Identify buckets with record data.
2. Apply a retention policy, and set it to retain for seven years.
3. Monitor the bucket by using log-based alerts to ensure that no modifications to the retention policy occurs.
B. 1. Identify buckets with record data.
2. Enable the bucket policy only to ensure that data is retained.
3. Enable bucket lock.
C. 1. Identify buckets with record data.
2. Apply a retention policy and set it to retain for seven years.
3. Enable bucket lock.
D. 1. Identify buckets with record data.
2. Apply a retention policy, and set it to retain for seven years.
3. Remove any Identity and Access Management (IAM) roles that contain the storage buckets update permission.

Answer: C

Explanation:
https://cloud.google.com/storage/docs/bucket-lock

NEW QUESTION # 38
In order to meet PCI DSS requirements, a customer wants to ensure that all outbound traffic is authorized.
Which two cloud offerings meet this requirement without additional compensating controls? (Choose two.)

A. Cloud Storage
B. Compute Engine
C. App Engine
D. Cloud Functions
E. Google Kubernetes Engine

Answer: B,E

Explanation:
Explanation
App Engine ingress firewall rules are available, but egress rules are not currently available. Per requirements
1.2.1 and 1.3.4, you must ensure that all outbound traffic is authorized. SAQ A-EP and SAQ D-type merchants must provide compensating controls or use a different Google Cloud product. Compute Engine and GKE are the preferred alternatives. https://cloud.google.com/solutions/pci-dss-compliance-in-gcp

NEW QUESTION # 39
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