Professional-Cloud-Security-Engineer Web-Based Practice Exam Questions

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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 Exam is a certification exam designed to test the knowledge and skills of professionals who are responsible for securing cloud-based solutions on the Google Cloud Platform. Professional-Cloud-Security-Engineer exam measures the ability of candidates to design and implement security solutions that are effective in protecting data, applications, and infrastructure in a cloud-based environment. It is a comprehensive exam that covers a range of topics related to cloud security, including identity and access management, network security, data protection, and compliance.

There are 3 study programs available that you can use to prepare for the test. Also, Google provides tons of skill badges that you can complete to verify your competence in implementing cloud security concepts at this level. We will be covering all of them below:

1. Google Cloud Fundamentals: Core Infrastructure

This course will help you build an important foundation for working with popular computing and storage devices in Google Cloud efficiently. These include Google Kubernetes, Cloud SQL, Cloud Storage, BigQuery, App Engine, and Compute Engine. Besides, this training option will also provide important coverage of resource and policy management tools such as Cloud Identity and Access Management and the Resource Manager hierarchy. If you are experienced in working with Azure or AWS and now looking to switch to Google Cloud, this course will be the best tool to ease the transition.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
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: C

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 # 20
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: C

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


NEW QUESTION # 21
Your DevOps team uses Packer to build Compute Engine images by using this process:
1 Create an ephemeral Compute Engine VM.
2 Copy a binary from a Cloud Storage bucket to the VM's file system.
3 Update the VM's package manager.
4 Install external packages from the internet onto the VM.
Your security team just enabled the organizational policy. consrraints/compure.vnExtemallpAccess. to restrict the usage of public IP Addresses on VMs. In response your DevOps team updated their scripts to remove public IP addresses on the Compute Engine VMs however the build pipeline is failing due to connectivity issues.
What should you do?
Choose 2 answers

Answer: B,C

Explanation:
* Provision a Cloud NAT Instance:
* Cloud NAT (Network Address Translation) allows instances without external IP addresses to access the internet securely.
* In the Google Cloud Console, navigate to the VPC Network section and select Cloud NAT.
* Create a new Cloud NAT configuration, specifying the VPC and region where your Compute Engine VMs are deployed.
* Configure Cloud NAT:
* Ensure that the Cloud NAT instance is configured to provide outbound internet connectivity for the VMs in your specified subnet.
* This setup allows the VMs to access the internet for package updates and external installations without requiring public IP addresses.
* Enable Private Google Access:
* Private Google Access allows VMs in a subnet to reach Google APIs and services using internal IP addresses.
* In the Google Cloud Console, navigate to the VPC Network section and select Subnets.
* Edit the subnet used by your Compute Engine VMs and enable Private Google Access.
* Update DevOps Scripts:
* Ensure that your DevOps scripts are updated to work with the new network configuration.
* Test the build process to confirm that the VMs can access necessary resources and complete the build pipeline successfully.
References:
* Cloud NAT Documentation
* Private Google Access


NEW QUESTION # 22
You want to use the gcloud command-line tool to authenticate using a third-party single sign-on (SSO) SAML identity provider. Which options are necessary to ensure that authentication is supported by the third-party identity provider (IdP)? (Choose two.)

Answer: A,B

Explanation:
Explanation
To provide users with SSO-based access to selected cloud apps, Cloud Identity as your IdP supports the OpenID Connect (OIDC) and Security Assertion Markup Language 2.0 (SAML) protocols.
https://cloud.google.com/identity/solutions/enable-sso


NEW QUESTION # 23
A customer's internal security team must manage its own encryption keys for encrypting data on Cloud Storage and decides to use customer-supplied encryption keys (CSEK).
How should the team complete this task?

Answer: C

Explanation:
To use customer-supplied encryption keys (CSEK) for encrypting data on Cloud Storage, follow these steps:
* Generate an Encryption Key: Generate a 256-bit AES encryption key. This key should be base64- encoded.
sh
Copy code
openssl rand -base64 32
* Upload Object with CSEK: Use the gsutil command-line tool to upload the object to Cloud Storage, specifying the location of the encryption key using the -o option.
gsutil -o "GSUtil:encryption_key=<base64-encoded-key>" cp [LOCAL_OBJECT_PATH] gs://
[BUCKET_NAME]/
* Verify Encryption: After uploading the object, you can verify that it is encrypted using the provided CSEK by checking the object's metadata.
gsutil stat gs://[BUCKET_NAME]/[OBJECT_NAME]
* Key Management: Ensure that the encryption key is securely stored and managed. It should not be hard- coded in scripts or applications.
By using the gsutil tool and specifying the encryption key, you ensure that the object is encrypted using the customer-supplied encryption key during the upload process.
Customer-Supplied Encryption Keys (CSEK) Documentation
gsutil Command Line Tool Documentation


NEW QUESTION # 24
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