Pass Authentic Google Professional-Cloud-Security-Engineer with Free Practice Tests and Exam Dumps
New Professional-Cloud-Security-Engineer Exam Questions Real Google Dumps
Google Professional-Cloud-Security-Engineer Certification Exam is highly regarded in the industry as it is recognized as a validation of the candidate's skills and knowledge in implementing and managing security solutions on Google Cloud Platform. Google Cloud Certified - Professional Cloud Security Engineer Exam certification provides the candidate with a competitive edge in the job market and opens up new career opportunities. Additionally, the certification demonstrates the candidate's commitment to continuous learning and professional development.
NEW QUESTION # 129
You discovered that sensitive personally identifiable information (PII) is being ingested to your Google Cloud environment in the daily ETL process from an on-premises environment to your BigQuery datasets. You need to redact this data to obfuscate the PII, but need to re-identify it for data analytics purposes. Which components should you use in your solution? (Choose two.)
- A. Cloud Data Loss Prevention with cryptographic hashing
- B. Cloud Data Loss Prevention with deterministic encryption using AES-SIV
- C. Cloud Key Management Service
- D. Secret Manager
- E. Cloud Data Loss Prevention with automatic text redaction
Answer: B,C
Explanation:
B: you need KMS to store the CryptoKey https://cloud.google.com/dlp/docs/reference/rest/v2/projects.deidentifyTemplates#crypt E: for the de-identity you need to use CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig https://cloud.google.com/dlp/docs/reference/rest/v2/projects.deidentifyTemplates#cryptodeterministicconfig
https://cloud.google.com/dlp/docs/deidentify-sensitive-data
NEW QUESTION # 130
Your company has deployed an application on Compute Engine. The application is accessible by clients on port 587. You need to balance the load between the different instances running the application. The connection should be secured using TLS, and terminated by the Load Balancer.
What type of Load Balancing should you use?
- A. TCP Proxy Load Balancing
- B. HTTP(S) Load Balancing
- C. Network Load Balancing
- D. SSL Proxy Load Balancing
Answer: D
Explanation:
Explanation
https://cloud.google.com/load-balancing/docs/ssl - SSL Proxy Load Balancing is a reverse proxy load balancer that distributes SSL traffic coming from the internet to virtual machine (VM) instances in your Google Cloud VPC network.
NEW QUESTION # 131
A centralized security service has been implemented by your company. All applications running in Google Cloud are required to send data to this service. You need to ensure that developers have high autonomy to configure firewall rules within their projects, while preventing accidental blockage of access to the central security service. What should you do?
- A. Deploy a central Secure Web Proxy and connect it to all VPC networks. Create a Secure Web Proxy policy to allow traffic to the central security service.
- B. Create a central project to manage Shared VPC networks which will be accessible to all other projects.
Administer all firewall rules centrally within this project. - C. Implement a hierarchical firewall policy that prioritizes the central security service by allowing its connections and directing all other traffic to the subsequent firewall level.
- D. Use Terraform to automate the creation of the required firewall rule in all projects. Restrict rule change permissions solely to the Terraform service account.
Answer: C
Explanation:
The problem has two key requirements:
All applications must send data to a centralized security service.
Developers need high autonomy over firewall rules within their projects.
Prevent accidental blockage of access to the central security service.
This scenario requires a mechanism to enforce critical network policies at a higher level of the resource hierarchy while still allowing project-level flexibility.
Hierarchical Firewall Policies: Google Cloud's Hierarchical Firewall Policies (HFP) are designed precisely for this purpose. They allow administrators to define firewall rules at the organization or folder level, and these rules are inherited by all projects and VPC networks within that hierarchy. Crucially, HFP rules can be prioritized. Rules with higher priority (lower numerical value) are evaluated first. This means you can create high-priority "allow" rules for critical services that cannot be overridden or blocked by project-level firewall rules.Extract Reference: "Hierarchical firewall policies allow you to define and enforce consistent network security policies across your organization. Policies can be applied at the organization or folder level, and they are inherited by all projects and VPC networks within that hierarchy." and "Rules in a hierarchical firewall policy can take precedence over VPC network firewall rules based on priority. A rule with a lower priority value takes precedence over a rule with a higher priority value." (Google Cloud documentation: https://cloud.
google.com/vpc/docs/firewall-policies-overview)
Preventing Accidental Blockage while Allowing Autonomy: By setting a high-priority "allow" rule for the central security service in a hierarchical firewall policy, you guarantee that this traffic will always be permitted, regardless of what project-level firewall rules developers might configure. This ensures the critical connectivity while still allowing developers to manage other, less critical firewall rules within their projects with high autonomy.
Let's evaluate the other options:
A). Deploy a central Secure Web Proxy and connect it to all VPC networks. Create a Secure Web Proxy policy to allow traffic to the central security service. A Secure Web Proxy is for HTTP/S outbound traffic to external web services. The central security service might not be an external web service, and this solution is focused on application-layer proxies, not general network connectivity like sending data to an internal service. Also, it doesn't directly address the challenge of developers blocking access with project-level firewall rules.
C). Create a central project to manage Shared VPC networks which will be accessible to all other projects.
Administer all firewall rules centrally within this project. While Shared VPC centralizes network management, it means all firewall rules are administered centrally. This directly contradicts the requirement for developers to have "high autonomy to configure firewall rules within their projects." Shared VPC would centralize too much control for this specific scenario.
D). Use Terraform to automate the creation of the required firewall rule in all projects. Restrict rule change permissions solely to the Terraform service account. This approach automates the creation but doesn't prevent developers from creating conflicting or overriding rules in their projects (unless Terraform is used to manage all rules, again removing autonomy). It also relies on restricting IAM permissions for all firewall rules, which is against the "high autonomy" requirement for developers. Hierarchical firewall policies offer a more robust and native solution for overriding and enforcing specific rules.
Therefore, implementing a hierarchical firewall policy is the most effective solution, as it allows for the enforcement of critical security service connectivity at a higher level, while still granting developers the desired autonomy over their project-specific firewall rules.
NEW QUESTION # 132
Your organization wants full control of the keys used to encrypt data at rest in their Google Cloud environments. Keys must be generated and stored outside of Google and integrate with many Google Services including BigQuery.
What should you do?
- A. Create a Cloud Key Management Service (KMS) key with imported key material. Wrap the key for protection during import. Import the key generated on a trusted system in Cloud KMS.
- B. Create a KMS key that is stored on a Google managed FIPS 140-2 level 3 Hardware Security Module (HSM). Manage the Identity and Access Management (IAM) permissions settings, and set up the key rotation period.
- C. Use Cloud External Key Management (EKM) that integrates with an external Hardware Security Module (HSM) system from supported vendors.
- D. Use customer-supplied encryption keys (CSEK) with keys generated on trusted external systems.
Provide the raw CSEK as part of the API call.
Answer: C
Explanation:
https://cloud.google.com/kms/docs/ekm
NEW QUESTION # 133
You need to enforce a security policy in your Google Cloud organization that prevents users from exposing objects in their buckets externally. There are currently no buckets in your organization. Which solution should you implement proactively to achieve this goal with the least operational overhead?
- A. Enable the constraints/storage.publicAccessPrevention constraint at the organization level.
- B. Create an hourly cron job to run a Cloud Function that finds public buckets and makes them private.
- C. Enable the constraints/storage.uniformBucketLevelAccess constraint at the organization level.
- D. Create a VPC Service Controls perimeter that protects the storage.googleapis.com service in your projects that contains buckets. Add any new project that contains a bucket to the perimeter.
Answer: A
Explanation:
https://cloud.google.com/storage/docs/public-access-prevention
Public access prevention protects Cloud Storage buckets and objects from being accidentally exposed to the public. If your bucket is contained within an organization, you can enforce public access prevention by using the organization policy constraint storage.publicAccessPrevention at the project, folder, or organization level.
NEW QUESTION # 134
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.)
- A. SSO SAML as a third-party IdP
- B. Cloud Identity
- C. Identity Platform
- D. Identity-Aware Proxy
- E. OpenID Connect
Answer: A,E
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 # 135
An organization is starting to move its infrastructure from its on-premises environment to Google Cloud Platform (GCP). The first step the organization wants to take is to migrate its current data backup and disaster recovery solutions to GCP for later analysis. The organization's production environment will remain on- premises for an indefinite time. The organization wants a scalable and cost-efficient solution.
Which GCP solution should the organization use?
- A. Compute Engine Virtual Machines using Persistent Disk
- B. Cloud Storage using a scheduled task and gsutil
- C. BigQuery using a data pipeline job with continuous updates
- D. Cloud Datastore using regularly scheduled batch upload jobs
Answer: B
Explanation:
To migrate the current data backup and disaster recovery solutions to GCP while keeping the production environment on-premises, the most scalable and cost-efficient solution is using Google Cloud Storage with scheduled tasks and the gsutil command.
Setup Cloud Storage: Create a Cloud Storage bucket to store the backups.
Go to the Cloud Console and navigate to Cloud Storage.
Click "Create bucket" and follow the prompts to configure the storage bucket.
Install gsutil: Ensure gsutil is installed on the on-premises servers.
gsutil is a command-line tool for interacting with Cloud Storage.
Follow the installation guide here.
Create Backup Script: Write a script to upload data to Cloud Storage using gsutil.
#!/bin/bash gsutil -m cp -r /path/to/local/backup gs://your-bucket-name Schedule Backup Task: Use a scheduling tool like cron on Linux to run the backup script at regular intervals.
Edit the crontab file with crontab -e and add an entry like:
Cloud Storage Documentation
gsutil Documentation
NEW QUESTION # 136
A company is backing up application logs to a Cloud Storage bucket shared with both analysts and the administrator. Analysts should only have access to logs that do not contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible by the administrator.
What should you do?
- A. Upload the logs to both the shared bucket and the bucket only accessible by the administrator. Create a job trigger using the Cloud Data Loss Prevention API. Configure the trigger to delete any files from the shared bucket that contain PII.
- B. Use Cloud Pub/Sub and Cloud Functions to trigger a Data Loss Prevention scan every time a file is uploaded to the shared bucket. If the scan detects PII, have the function move into a Cloud Storage bucket only accessible by the administrator.
- C. On the bucket shared with both the analysts and the administrator, configure a Cloud Storage Trigger that is only triggered when PII data is uploaded. Use Cloud Functions to capture the trigger and delete such files.
- D. On the bucket shared with both the analysts and the administrator, configure Object Lifecycle Management to delete objects that contain any PII.
Answer: B
Explanation:
To ensure that PII data is separated from non-PII data, using Cloud Pub/Sub and Cloud Functions to trigger a scan by the Data Loss Prevention (DLP) API is an effective approach. This method allows for automated detection and handling of PII.
Steps:
Set Up Cloud Pub/Sub: Configure a Cloud Pub/Sub topic to receive notifications whenever a file is uploaded to the shared Cloud Storage bucket.
Deploy Cloud Functions: Create a Cloud Function that is triggered by the Pub/Sub topic. This function will invoke the DLP API to scan the uploaded file for PII.
Move Detected PII Files: If the scan detects PII, the Cloud Function will move the file to a secure Cloud Storage bucket accessible only by the administrator.
Set Permissions: Ensure that appropriate permissions are set on the Cloud Storage buckets to restrict access to files containing PII.
Reference:
Google Cloud: Data Loss Prevention
Cloud Functions documentation
NEW QUESTION # 137
Your team sets up a Shared VPC Network where project co-vpc-prod is the host project. Your team has configured the firewall rules, subnets, and VPN gateway on the host project. They need to enable Engineering Group A to attach a Compute Engine instance to only the 10.1.1.0/24 subnet.
What should your team grant to Engineering Group A to meet this requirement?
- A. Compute Network User Role at the host project level.
- B. Compute Network User Role at the subnet level.
- C. Compute Shared VPC Admin Role at the service project level.
- D. Compute Shared VPC Admin Role at the host project level.
Answer: B
Explanation:
To enable Engineering Group A to attach a Compute Engine instance to a specific subnet (10.1.1.0/24) in a Shared VPC, you should grant the Compute Network User Role at the subnet level. This role allows users to use the subnetwork for their instances without giving them broader permissions at the project level.
Step-by-Step:
* Identify the Subnet: Locate the subnet (10.1.1.0/24) in the host project.
* Grant Role:
* Navigate to the GCP Console > VPC network > VPC networks.
* Select the Shared VPC host project and locate the specific subnet.
* Click on "Edit" and go to the "IAM & Admin" section.
* Assign the "Compute Network User" role to Engineering Group A at the subnet level.
* Verification: Ensure that Engineering Group A can now attach Compute Engine instances to the specified subnet.
Shared VPC Overview
Compute Network User Role
NEW QUESTION # 138
You need to audit the network segmentation for your Google Cloud footprint. You currently operate Production and Non-Production infrastructure-as-a-service (IaaS) environments. All your VM instances are deployed without any service account customization.
After observing the traffic in your custom network, you notice that all instances can communicate freely - despite tag-based VPC firewall rules in place to segment traffic properly - with a priority of 1000. What are the most likely reasons for this behavior?
- A. All VM instances are missing the respective network tags.
- B. A VPC firewall rule is allowing traffic between source/targets based on the same service account with priority 999.
- C. All VM instances are residing in the same network subnet.
- D. All VM instances are configured with the same network route.
- E. A VPC firewall rule is allowing traffic between source/targets based on the same service account with priority 1001.
Answer: B
Explanation:
Firewall Rule Analysis: Analyze the existing VPC firewall rules to identify any rules that might allow traffic between VM instances based on the same service account.
Priority Check: Check the priority of these rules. A rule with a priority lower than 1000 (such as 999) will take precedence over your tag-based rules.
Service Account Configuration: Since your VM instances are deployed without any service account customization, they are likely using the default service account. A firewall rule allowing traffic between instances using this default service account will override the tag-based rules if it has a higher priority.
Testing and Validation: Disable or adjust the priority of the rule with priority 999 to test if the tag-based segmentation works correctly. Validate that the traffic is segmented according to your intended configuration.
References:
Google Cloud - VPC Firewall Rules
Google Cloud - Service Accounts
NEW QUESTION # 139
You manage a Google Cloud organization with many projects located in various regions around the world. The projects are protected by the same Access Context Manager access policy. You created a new folder that will host two projects that process protected health information (PHI) for US-based customers. The two projects will be separately managed and require stricter protections. You are setting up the VPC Service Controls configuration for the new folder. You must ensure that only US-based personnel can access these projects and restrict Google Cloud API access to only BigQuery and Cloud Storage within these projects. What should you do?
- A. - Edit the organization-level access policy and add the new folder under "Select resources to include in the policy."
- Specify the two new projects as "Resources to protect" in the service perimeter configuration.
- Set "Restricted services" to "all services," set "VPC accessible services" to "Selected services," and specify only BigQuery and Cloud Storage.
- Edit the existing access level to add a "Geographic locations" condition set to "US." - B. - Create a scoped access policy, add the new folder under "Select resources to include in the policy," and assign an administrator under "Manage principals."
- For the service perimeter, specify the two new projects as "Resources to protect" in the service perimeter configuration.
- Set "Restricted services" to "all services," set "VPC accessible services" to "Selected services," and specify only BigQuery and Cloud Storage under "Selected services." - C. - Configure a Cloud Interconnect connection or a Virtual Private Network (VPN) between the on- premises environment and the Google Cloud organization.
- Configure the VPC firewall policies within the new projects to only allow connections from the on- premises IP address range.
- Enable the Restrict Resource Service Usage organization policy on the new folder with an
"Allow" policy type, and set both "storage.googleapis.com" and "bigquery.googleapis.com" under
"Custom values." - D. - Enable Identity Aware Proxy in the new projects.
- Create an Access Context Manager access level with an "IP Subnetworks" attribute condition set to the US-based corporate IP range.
- Enable the "Restrict Resource Service Usage" organization policy at the new folder level with an
"Allow" policy type and set both "storage.googleapis.com" and "bigquery.googleapis.com" under
"Custom values."
Answer: A
Explanation:
The best solution to meet the requirements of restricting access to US-based personnel and limiting Google Cloud API access to only BigQuery and Cloud Storage for the two new projects processing PHI is C.
NEW QUESTION # 140
Which two security characteristics are related to the use of VPC peering to connect two VPC networks?
(Choose two.)
- A. Non-transitive peered networks; where only directly peered networks can communicate
- B. Ability to peer networks that belong to different Google Cloud Platform organizations
- C. Ability to share specific subnets across peered networks
- D. Firewall rules that can be created with a tag from one peered network to another peered network
- E. Central management of routes, firewalls, and VPNs for peered networks
Answer: A,B
Explanation:
Explanation
https://cloud.google.com/vpc/docs/vpc-peering#key_properties
NEW QUESTION # 141
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
- A. Enable Private Google Access on the subnet that the Compute Engine VM is deployed within.
- B. Update the VPC routes to allow traffic to and from the internet.
- C. Provision a Cloud VPN tunnel in the same VPC and region as the Compute Engine VM.
- D. Provision a Cloud NAT instance in the same VPC and region as the Compute Engine VM
- E. Provision an HTTP load balancer with the VM in an unmanaged instance group to allow inbound connections from the internet to your VM.
Answer: A,D
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.
Reference:
Cloud NAT Documentation
Private Google Access
NEW QUESTION # 142
Your organization develops software involved in many open source projects and is concerned about software supply chain threats You need to deliver provenance for the build to demonstrate the software is untampered.
What should you do?
- A. * 1. Review the software process.* 2. Generate private and public key pairs and use Pretty Good Privacy (PGP) protocols to sign the output software artifacts together with a file containing the address of your enterprise and point of contact.* 3. Publish the PGP signed attestation to your public web page.
- B. * 1. Hire an external auditor to review and provide provenance* 2. Define the scope and conditions.* 3.
Get support from the Security department or representative.* 4. Publish the attestation to your public web page. - C. * 1- Generate Supply Chain Levels for Software Artifacts (SLSA) level 3 assurance by using Cloud Build.* 2. View the build provenance in the Security insights side panel within the Google Cloud console.
- D. * 1, Publish the software code on GitHub as open source.* 2. Establish a bug bounty program, and encourage the open source community to review, report, and fix the vulnerabilities.
Answer: C
Explanation:
* Generate Supply Chain Levels for Software Artifacts (SLSA) level 3 assurance by using Cloud Build:
SLSA is a framework for ensuring the integrity of software artifacts. By using Cloud Build, you can automate the build process and generate SLSA level 3 compliance, which includes verifiable build steps and provenance.
* View the build provenance in the Security insights side panel within the Google Cloud console: The build provenance provides a detailed history of how the software was built, including the source code, build process, and any dependencies. This information is accessible through the Security insights side panel in the Google Cloud console, allowing you to verify the integrity and authenticity of your software artifacts.
References
* Supply Chain Levels for Software Artifacts (SLSA) documentation
* Cloud Build documentation
* Security insights in Google Cloud console
NEW QUESTION # 143
A security audit uncovered several inconsistencies in your project's Identity and Access Management (IAM) configuration. Some service accounts have overly permissive roles, and a few external collaborators have more access than necessary. You need to gain detailed visibility into changes to IAM policies, user activity, service account behavior, and access to sensitive projects. What should you do?
- A. Enable the metrics explorer in Cloud Monitoring to follow the service account authentication events and build alerts linked on it.
- B. Use Cloud Audit Logs. Create log export sinks to send these logs to a security information and event management (SIEM) solution for correlation with other event sources.
- C. Deploy the OS Config Management agent to your VMs. Use OS Config Management to create patch management jobs and monitor system modifications.
- D. Configure Google Cloud Functions to be triggered by changes to IAM policies. Analyze changes by using the policy simulator, send alerts upon risky modifications, and store event details.
Answer: B
Explanation:
To address inconsistencies in your project's Identity and Access Management (IAM) configuration and gain comprehensive visibility into IAM policy changes, user activity, service account behavior, and access to sensitive projects, leveraging Google Cloud's auditing capabilities is essential.
* Option A: While Cloud Monitoring's metrics explorer can track certain metrics, it is not designed to provide detailed logs of IAM policy changes or user activities.
* Option B: Cloud Audit Logs offer detailed records of administrative activities, including IAM policy changes and authentications. By creating log export sinks, you can forward these logs to a Security Information and Event Management (SIEM) solution, enabling correlation with other event sources and comprehensive analysis. This approach provides the necessary visibility into IAM configurations and user activities.
* Option C: Triggering Cloud Functions based on IAM policy changes and analyzing them with a policy simulator is a proactive approach. However, it may not provide the depth of historical data and comprehensive analysis capabilities that a SIEM solution offers.
* Option D: Deploying the OS Config Management agent focuses on VM configuration and patch management, which does not directly address IAM policy monitoring or user activity tracking.
Therefore, Option B is the most effective solution to gain detailed visibility into IAM-related activities and address the identified inconsistencies.
References:
* Cloud Audit Logs Overview
* Exporting Logs to a SIEM
NEW QUESTION # 144
Your application is deployed as a highly available cross-region solution behind a global external HTTP(S) load balancer. You notice significant spikes in traffic from multiple IP addresses but it is unknown whether the IPs are malicious. You are concerned about your application's availability. You want to limit traffic from these clients over a specified time interval.
What should you do?
- A. Configure a deny action by using Google Cloud Armor to deny the clients that issued too many requests over the specified time interval.
- B. Configure a rate_based_ban action by using Google Cloud Armor and set the ban_duration_sec parameter to the specified time interval.
- C. Configure a firewall rule in your VPC to throttle traffic from the identified IP addresses.
- D. Configure a throttle action by using Google Cloud Armor to limit the number of requests per client over a specified time interval.
Answer: B
Explanation:
To handle significant traffic spikes and potentially malicious IPs, you can use Google Cloud Armor to configure rate-based bans. This approach allows you to automatically ban clients that exceed a predefined request rate, protecting your application from potential denial-of-service attacks.
* Access Google Cloud Console: Log in to your Google Cloud Console.
* Navigate to Google Cloud Armor: Go to the "Security" section and select "Google Cloud Armor".
* Create Security Policy: Create a new security policy or edit an existing one. Add a new rule to the policy.
* Configure Rate-Based Ban: Set the action to rate_based_ban. Define the rate limit (e.g., requests per second) and set the ban_duration_sec parameter to the desired time interval.
* Apply the Policy: Apply the security policy to your backend service or load balancer.
* Monitor and Adjust: Monitor the traffic patterns and adjust the rate limits and ban durations as necessary to balance security and availability.
References:
* Google Cloud Armor Documentation
* Rate Limiting with Cloud Armor
NEW QUESTION # 145
......
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