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The Google Professional-Cloud-Security-Engineer exam covers a wide range of topics, including security management, data protection, network security, and compliance. Candidates are expected to have a deep understanding of the security controls and mechanisms available on the Google Cloud Platform. They should also be able to identify and mitigate potential security threats and vulnerabilities.

Achieving the Google Professional-Cloud-Security-Engineer Certification demonstrates an individual's expertise in securing applications and data within the GCP environment. Google Cloud Certified - Professional Cloud Security Engineer Exam certification can help IT professionals advance their careers and demonstrate their value to organizations looking to adopt GCP for their cloud infrastructure.

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The Best Google Professional-Cloud-Security-Engineer Exam Questions

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To prepare for the exam, candidates should have experience in cloud security and a strong understanding of security fundamentals. Google offers several training resources, including courses, documentation, and hands-on labs, to help individuals prepare for the exam. Additionally, candidates can take practice exams to gauge their knowledge and identify areas where they may need to focus their studies.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q122-Q127):

NEW QUESTION # 122
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 FindingLimits and TimespanContfig to sample data and minimize transformation units.
B. Set appropriate rowsLimit value on BigQuery data hosted outside the US, and minimize transformation units on multiregional Cloud Storage buckets.
C. Set appropriate rowsLimit value on BigQuery data hosted outside the US and set appropriate bytesLimitPerFile value on multiregional Cloud Storage buckets.
D. Use rowsLimit and bytesLimitPerFile to sample data and use CloudStorageRegexFileSet to limit scans.

Answer: D

Explanation:
https://cloud.google.com/dlp/docs/inspecting-storage#sampling
https://cloud.google.com/dlp/docs/best-practices-
costs#limit_scans_of_files_in_to_only_relevant_files

NEW QUESTION # 123
You need to implement an encryption-at-rest strategy that protects sensitive data and reduces key management complexity for non-sensitive data. Your solution has the following requirements:
- Schedule key rotation for sensitive data.
- Control which region the encryption keys for sensitive data are stored in.
- Minimize the latency to access encryption keys for both sensitive and non-sensitive data.
What should you do?

A. Encrypt non-sensitive data and sensitive data with Cloud Key Management Service.
B. Encrypt non-sensitive data and sensitive data with Cloud External Key Manager.
C. Encrypt non-sensitive data with Google default encryption, and encrypt sensitive data with Cloud External Key Manager.
D. Encrypt non-sensitive data with Google default encryption, and encrypt sensitive data with Cloud Key Management Service.

Answer: D

Explanation:
https://cloud.google.com/docs/security/encryption/default-encryption

NEW QUESTION # 124
Your security team wants to implement a defense-in-depth approach to protect sensitive data stored in a Cloud Storage bucket. Your team has the following requirements:
The Cloud Storage bucket in Project A can only be readable from Project B.
The Cloud Storage bucket in Project A cannot be accessed from outside the network.
Data in the Cloud Storage bucket cannot be copied to an external Cloud Storage bucket.
What should the security team do?

A. Enable VPC Peering between Project A and B's networks with strict firewall rules that allow communication between the networks.
B. Enable domain restricted sharing in an organization policy, and enable uniform bucket-level access on the Cloud Storage bucket.
C. Enable Private Access in both Project A and B's networks with strict firewall rules that allow communication between the networks.
D. Enable VPC Service Controls, create a perimeter around Projects A and B. and include the Cloud Storage API in the Service Perimeter configuration.

Answer: A

NEW QUESTION # 125
Your team wants to centrally manage GCP IAM permissions from their on-premises Active Directory Service.
Your team wants to manage permissions by AD group membership.
What should your team do to meet these requirements?

A. Use the Cloud Identity and Access Management API to create groups and IAM permissions from Active Directory.
B. Set up SAML 2.0 Single Sign-On (SSO), and assign IAM permissions to the groups.
C. Set up Cloud Directory Sync to sync groups, and set IAM permissions on the groups.
D. Use the Admin SDK to create groups and assign IAM permissions from Active Directory.

Answer: C

Explanation:
Explanation
"In order to be able to keep using the existing identity management system, identities need to be synchronized between AD and GCP IAM. To do so google provides a tool called Cloud Directory Sync. This tool will read all identities in AD and replicate those within GCP. Once the identities have been replicated then it's possible to apply IAM permissions on the groups. After that you will configure SAML so google can act as a service provider and either you ADFS or other third party tools like Ping or Okta will act as the identity provider. This way you effectively delegate the authentication from Google to something that is under your control."

NEW QUESTION # 126
When working with agents in a support center via online chat, an organization's customers often share pictures of their documents with personally identifiable information (PII). The organization that owns the support center is concerned that the PII is being stored in their databases as part of the regular chat logs they retain for review by internal or external analysts for customer service trend analysis.
Which Google Cloud solution should the organization use to help resolve this concern for the customer while still maintaining data utility?

A. Use Cloud Key Management Service (KMS) to encrypt the PII data shared by customers before storing it for analysis.
B. Use Object Lifecycle Management to make sure that all chat records with PII in them are discarded and not saved for analysis.
C. Use the image inspection and redaction actions of the DLP API to redact PII from the images before storing them for analysis.
D. Use the generalization and bucketing actions of the DLP API solution to redact PII from the texts before storing them for analysis.

Answer: C

Explanation:
https://cloud.google.com/dlp/docs/deidentify-sensitive-data

NEW QUESTION # 127
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