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Professional-Cloud-Security-Engineer考題套裝 - Professional-Cloud-Security-Engineer考試證照綜述
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>> Professional-Cloud-Security-Engineer考題套裝 <<
快速下載Professional-Cloud-Security-Engineer考題套裝 |第一次嘗試輕鬆學習並通過考試,優秀的Google Google Cloud Certified - Professional Cloud Security Engineer Exam
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最新的 Google Cloud Certified Professional-Cloud-Security-Engineer 免費考試真題 (Q311-Q316):
問題 #311
You have noticed an increased number of phishing attacks across your enterprise user accounts. You want to implement the Google 2-Step Verification (2SV) option that uses a cryptographic signature to authenticate a user and verify the URL of the login page. Which Google 2SV option should you use?
答案:C
解題說明:
Explanation
https://cloud.google.com/titan-security-key
Security keys use public key cryptography to verify a user's identity and URL of the login page ensuring attackers can't access your account even if you are tricked into providing your username and password.
問題 #312
An employer wants to track how bonus compensations have changed over time to identify employee outliers and correct earning disparities. This task must be performed without exposing the sensitive compensation data for any individual and must be reversible to identify the outlier.
Which Cloud Data Loss Prevention API technique should you use to accomplish this?
答案:C
解題說明:
De-identifying sensitive data Cloud Data Loss Prevention (DLP) can de-identify sensitive data in text content, including text stored in container structures such as tables. De-identification is the process of removing identifying information from data. The API detects sensitive data such as personally identifiable information (PII), and then uses a de-identification transformation to mask, delete, or otherwise obscure the data. For example, de-identification techniques can include any of the following: Masking sensitive data by partially or fully replacing characters with a symbol, such as an asterisk (*) or hash (#). Replacing each instance of sensitive data with a token, or surrogate, string. Encrypting and replacing sensitive data using a randomly generated or pre-determined key. When you de-identify data using the CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig infoType transformations, you can re-identify that data, as long as you have the CryptoKey used to originally de-identify the data. https://cloud.google.com/dlp/docs/deidentify-sensitive-data
問題 #313
You are onboarding new users into Cloud Identity and discover that some users have created consumer user accounts using the corporate domain name. How should you manage these consumer user accounts with Cloud Identity?
答案:A
問題 #314
Your customer is moving their corporate applications to Google Cloud Platform. The security team wants detailed visibility of all resources in the organization. You use Resource Manager to set yourself up as the org admin. What Cloud Identity and Access Management (Cloud IAM) roles should you give to the security team?
答案:B
解題說明:
A is not correct because Project owner is too broad. The security team does not need to be able to make changes to projects.
B is correct because:
- Org viewer grants the security team permissions to view the organization's display name.
- Project viewer grants the security team permissions to see the resources within projects.
C is not correct because Org admin is too broad. The security team does not need to be able to make changes to the organization.
D is not correct because Project owner is too broad. The security team does not need to be able to make changes to projects.
https://cloud.google.com/resource-manager/docs/access-control-org#using_predefined_roles
問題 #315
You are setting up a CI/CD pipeline to deploy containerized applications to your production clusters on Google Kubernetes Engine (GKE). You need to prevent containers with known vulnerabilities from being deployed. You have the following requirements for your solution:
- Must be cloud-native
- Must be cost-efficient
- Minimize operational overhead
How should you accomplish this? (Choose two.)
答案:C,E
解題說明:
On-demand container analysis can be integrated into a Cloud Build Pipeline:
https://cloud.google.com/container-analysis/docs/ods-cloudbuild
Also binary attestation is a complementary mechanism "cloud-native".
問題 #316
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