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Google Professional-Cloud-Security-Engineer Certification Exam tests the candidate's ability to implement and manage security solutions on Google Cloud Platform. Professional-Cloud-Security-Engineer exam covers various security topics such as identity and access management, data protection, network security, and compliance. The format of the exam is multiple-choice questions and scenario-based questions. Professional-Cloud-Security-Engineer exam duration is two hours, and it requires a passing score of 70% or higher.
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Google Professional-Cloud-Security-Engineer Certification Exam is designed for individuals who want to demonstrate their expertise in securing applications and infrastructure on the Google Cloud Platform. Professional-Cloud-Security-Engineer exam tests candidates’ knowledge and skills in the areas of cloud security design, implementation, and monitoring. It is a challenging, hands-on exam that requires individuals to demonstrate their ability to apply industry best practices to real-world scenarios.
NEW QUESTION # 199
Your company is using Cloud Dataproc for its Spark and Hadoop jobs. You want to be able to create, rotate, and destroy symmetric encryption keys used for the persistent disks used by Cloud Dataproc. Keys can be stored in the cloud.
What should you do?
Answer: B
Explanation:
This PD and bucket data is encrypted using a Google-generated data encryption key (DEK) and key encryption key (KEK). The CMEK feature allows you to create, use, and revoke the key encryption key (KEK). Google still controls the data encryption key (DEK). For more information on Google data encryption keys, see Encryption at Rest. https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/customer-managed-encryption
https://codelabs.developers.google.com/codelabs/encrypt-and-decrypt-data-with-cloud-kms#0
NEW QUESTION # 200
Last week, a company deployed a new App Engine application that writes logs to BigQuery. No other workloads are running in the project. You need to validate that all data written to BigQuery was done using the App Engine Default Service Account.
What should you do?
Answer: A
Explanation:
To validate that all data written to BigQuery was done using the App Engine Default Service Account, you can use StackDriver Logging (now known as Cloud Logging) to filter and inspect the logs for BigQuery insert jobs. By hiding the entries matching the App Engine Default Service Account, you can ensure that no other service account has written to BigQuery if the resulting list is empty.
Steps:
* Open Cloud Logging: Navigate to Cloud Logging in the Google Cloud Console.
* Filter Logs: Apply a filter to display logs for BigQuery insert jobs.
* Inspect Entries: Click on the email address that corresponds to the App Engine Default Service Account in the authentication field.
* Hide Matching Entries: Select the option to hide matching entries.
* Validate: Check if the resulting list is empty, confirming that no other service account has performed write operations to BigQuery.
References:
* Google Cloud Logging
* Monitoring BigQuery logs
NEW QUESTION # 201
A customer is collaborating with another company to build an application on Compute Engine. The customer is building the application tier in their GCP Organization, and the other company is building the storage tier in a different GCP Organization. This is a 3-tier web application. Communication between portions of the application must not traverse the public internet by any means.
Which connectivity option should be implemented?
Answer: C
Explanation:
Objective: Ensure private communication between application tiers in different GCP Organizations.
Solution: Use VPC peering to enable private communication without traversing the public internet.
Steps:
Step 1: Open the Google Cloud Console.
Step 2: Navigate to the VPC Network Peering page.
Step 3: Create a new VPC peering connection in the project hosting the application tier.
Step 4: Specify the VPC network in the other organization (hosting the storage tier) to peer with.
Step 5: Accept the peering request in the other project.
Step 6: Configure the necessary routes and firewall rules to allow traffic between the peered VPC networks.
VPC peering allows you to connect two VPC networks privately and directly, ensuring that traffic between them does not traverse the public internet.
Reference:
GCP VPC Peering Documentation
VPC Network Peering Guide
NEW QUESTION # 202
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?
Answer: D
Explanation:
To handle images containing personally identifiable information (PII) in chat logs while maintaining data utility, you can use Google Cloud's Data Loss Prevention (DLP) API. The DLP API provides capabilities to inspect and redact sensitive information from images. Here's how you can use it:
Inspect Images: Use the DLP API to inspect images shared by customers for PII. This involves configuring the API to detect various types of sensitive information, such as names, social security numbers, and other PII.
Redact PII: Apply the redaction actions provided by the DLP API to remove or mask the PII in the images.
The redaction can blur, mask, or replace sensitive information with placeholders, ensuring that the PII is not stored in the databases.
Store Redacted Images: Store the redacted images in your database for further analysis. This ensures that the sensitive information is not retained, addressing privacy concerns while still preserving the utility of the data for analysis.
By using the DLP API, the organization can effectively manage PII in customer-provided images, ensuring compliance with privacy regulations.
References
Cloud DLP Documentation
Redacting Sensitive Data with DLP API
NEW QUESTION # 203
Your organization has implemented synchronization and SAML federation between Cloud Identity and Microsoft Active Directory. You want to reduce the risk of Google Cloud user accounts being compromised. What should you do?
Answer: C
Explanation:
https://cloud.google.com/identity/solutions/enforce-mfa#use_security_keys Use security keys We recommend requiring security keys for those employees who create and access data that needs the highest level of security. You should require 2SV for all other employees and encourage them to use security keys.
Security keys offer the most secure form of 2SV. They are based on the open standard developed by Google as part of the Fast Identity Online (FIDO) Alliance. Security keys require a compatible browser on user devices.
NEW QUESTION # 204
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