P.S. Fast2test在Google Drive上分享了免費的、最新的Professional-Cloud-Security-Engineer考試題庫：https://drive.google.com/open?id=1igNYuqt6R6jZiiN9uY6huXo7gZIIoNpD
我們會在互聯網上免費提供部分關於Google Professional-Cloud-Security-Engineer 認證考試的練習題讓嘗試，您會發現Fast2test的練習題是最全面的，是你最想要的。
| Section | Objectives |
|---|---|
| Ensure data protection | - Encryption and key management
|
| Configure access within a cloud solution environment | - Identity and Access Management (IAM)
|
| Manage operations within a cloud security environment | - Security monitoring and operations
|
| Configure network security | - Google Cloud network security controls
|
>> Professional-Cloud-Security-Engineer指南 <<
最近，Fast2test開始提供給大家很多關於IT認證考試的最新的資料。比如Professional-Cloud-Security-Engineer考古題都是根據最新版的IT認證考試研發出來的。可以告訴大家最新的與考試相關的消息。考試的大綱有什麼變化，以及考試中可能會出現的新題型，這些內容都包括在了資料中。所以，如果你想參加IT考試，最好利用Fast2test的資料。因為只有這樣你才能更好地準備考試。
問題 #73
An organization is evaluating the use of Google Cloud Platform (GCP) for certain IT workloads. A well-established directory service is used to manage user identities and lifecycle management.
This directory service must continue for the organization to use as the "source of truth" directory for identities.
Which solution meets the organization's requirements?
答案：A
解題說明：
https://cloud.google.com/solutions/federating-gcp-with-active-directory-introduction
問題 #74
An organization 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?
答案：D
解題說明：
Format-preserving encryption (FPE) allows you to encrypt sensitive data in a way that maintains the format of the input data. This is particularly useful when you need to use encrypted data in systems that require data in a specific format. Importantly, FPE is reversible, meaning you can decrypt the data back to its original form when necessary. This would allow the organization to track changes over time and identify outliers, without exposing sensitive compensation data.
問題 #75
A patch for a vulnerability has been released, and a DevOps team needs to update their running containers in Google Kubernetes Engine (GKE).
How should the DevOps team accomplish this?
答案：C
解題說明：
Reference:
https://cloud.google.com/kubernetes-engine/docs/security-bulletins
問題 #76
A retail customer allows users to upload comments and product reviews. The customer needs to make sure the text does not include sensitive data before the comments or reviews are published.
Which Google Cloud Service should be used to achieve this?
答案：B
解題說明：
To ensure user-uploaded comments and product reviews do not include sensitive data before publication, use the Cloud Data Loss Prevention (DLP) API.
* Enable DLP API:
* Go to the Cloud Console and navigate to APIs & Services > Library.
* Search for "Data Loss Prevention API" and enable it.
* Configure DLP API:
* Create an inspection template specifying the types of sensitive data to detect.
* Set up de-identification templates if you want to redact or mask sensitive data.
* Implement DLP in Application:
* Use the Google Cloud DLP Client Library for the desired programming language.
* Send the text data to the DLP API for inspection before saving or publishing.
from google.cloud import dlp_v2 dlp_client = dlp_v2.DlpServiceClient() parent = f"projects/{project_id}" item = {"value": "User comment text here"} inspect_config = {"info_types": [{"name": "PERSON_NAME"},
{"name": "CREDIT_CARD_NUMBER"}]} response = dlp_client.inspect_content(parent=parent, inspect_config=inspect_config, item=item) Cloud Data Loss Prevention API Documentation DLP API Client Libraries
問題 #77
Your company's users access data in a BigQuery table. You want to ensure they can only access the data during working hours.
What should you do?
答案：B
解題說明：
o ensure that users can only access the data in a BigQuery table during working hours, you can assign the BigQuery Data Viewer role with an IAM condition that specifies the allowed access times. This method leverages IAM Conditions, which allow you to define and enforce time-based access policies. Here's how to do it:
Identify the BigQuery Table: Determine which BigQuery table(s) require restricted access.
Create an IAM Policy with Conditions: Define an IAM policy that includes a condition for time-based access. You can do this using the Google Cloud Console, gcloud command-line tool, or directly editing the IAM policy JSON.
Specify Working Hours: In the IAM condition, specify the time frame during which access is allowed. For example, you can set access to be allowed from 9 AM to 5 PM on weekdays.
Assign the Role with Conditions: Apply the policy to the users or groups who need access. Ensure that the condition is correctly attached to the BigQuery Data Viewer role.
Example using gcloud:
gcloud projects add-iam-policy-binding [PROJECT_ID] \
--member=user:[USER_EMAIL] \
--role=roles/bigquery.dataViewer \
--condition=expression="(request.time.getFullYear() == 2024) && (request.time.getDayOfWeek() in [1, 2, 3, 4, 5]) && (request.time.getHours() >= 9) && (request.time.getHours() < 17)",title="Working hours condition",description="Access limited to working hours" Reference:
Google Cloud IAM Conditions
Google Cloud BigQuery IAM Roles
問題 #78
......
Fast2test為您提供的針對性培訓和高品質的練習題，是你第一次參加Google Professional-Cloud-Security-Engineer 認證考試最好的準備。Fast2test提供的練習題是與真實的考試試題很相似的，能確保你一次成功通過Google Professional-Cloud-Security-Engineer 認證考試。如果你考試失敗，我們將全額退款。
Professional-Cloud-Security-Engineer資訊: https://tw.fast2test.com/Professional-Cloud-Security-Engineer-premium-file.html
順便提一下，可以從雲存儲中下載Fast2test Professional-Cloud-Security-Engineer考試題庫的完整版：https://drive.google.com/open?id=1igNYuqt6R6jZiiN9uY6huXo7gZIIoNpD