GOOGLE PROFESSIONAL-CLOUD-SECURITY-ENGINEER TEST LABS & EXAM PROFESSIONAL-CLOUD-SECURITY-ENGINEER TESTKING

Google Professional-Cloud-Security-Engineer Test Labs & Exam Professional-Cloud-Security-Engineer Testking

Google Professional-Cloud-Security-Engineer Test Labs & Exam Professional-Cloud-Security-Engineer Testking

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q143-Q148):

NEW QUESTION # 143
Your company has been creating users manually in Cloud Identity to provide access to Google Cloud resources. Due to continued growth of the environment, you want to authorize the Google Cloud Directory Sync (GCDS) instance and integrate it with your on-premises LDAP server to onboard hundreds of users. You are required to:
Replicate user and group lifecycle changes from the on-premises LDAP server in Cloud Identity.
Disable any manually created users in Cloud Identity.
You have already configured the LDAP search attributes to include the users and security groups in scope for Google Cloud. What should you do next to complete this solution?

  • A. 1. Configure the LDAP search attributes to exclude manually created Cloud identity users not found in LDAP.
    2. Run GCDS after user and group lifecycle changes.
  • B. 1. Configure the option to suspend domain users not found in LDAP.
    2. Set up a recurring GCDS task.
  • C. 1. Configure the option to delete domain users not found in LDAP.
    2. Run GCDS after user and group lifecycle changes.
  • D. 1. Configure the LDAP search attributes to exclude manually created Cloud Identity users not found in LDAP.
    2. Set up a recurring GCDS task.

Answer: B

Explanation:
To achieve the requirement "Disable any manually created users in Cloud Identity", configure GCDS to suspend rather than delete accounts if user accounts are not found in the LDAP directory in GCDS. Ref: https://support.google.com/a/answer/7177267


NEW QUESTION # 144
A customer implements Cloud Identity-Aware Proxy for their ERP system hosted on Compute Engine. Their security team wants to add a security layer so that the ERP systems only accept traffic from Cloud Identity-Aware Proxy.
What should the customer do to meet these requirements?

  • A. Make sure that the ERP system can validate the x-forwarded-for headers in the HTTP requests.
  • B. Make sure that the ERP system can validate the JWT assertion in the HTTP requests.
  • C. Make sure that the ERP system can validate the user's unique identifier headers in the HTTP requests.
  • D. Make sure that the ERP system can validate the identity headers in the HTTP requests.

Answer: B

Explanation:
If there is a risk of IAP being turned off or bypassed, your app can check to make sure the identity information it receives is valid. This uses a third web request header added by IAP, called X- Goog-IAP-JWT-Assertion. The value of the header is a cryptographically signed object that also contains the user identity data. Your application can verify the digital signature and use the data provided in this object to be certain that it was provided by IAP without alteration.
https://cloud.google.com/iap/docs/signed-headers-howto


NEW QUESTION # 145
While migrating your organization's infrastructure to GCP, a large number of users will need to access GCP Console. The Identity Management team already has a well-established way to manage your users and want to keep using your existing Active Directory or LDAP server along with the existing SSO password.
What should you do?

  • A. Users sign in using OpenID (OIDC) compatible IdP, receive an authentication token, then use that token to log in to the GCP Console.
  • B. Manually synchronize the data in Google domain with your existing Active Directory or LDAP server.
  • C. Users sign in directly to the GCP Console using the credentials from your on-premises Kerberos compliant identity provider.
  • D. Use Google Cloud Directory Sync to synchronize the data in Google domain with your existing Active Directory or LDAP server.

Answer: D

Explanation:
Reference:
https://cloud.google.com/blog/products/identity-security/using-your-existing-identity-management- system-with-google-cloud-platform


NEW QUESTION # 146
A security team at an e-commerce company wants to define an automatic incident response process for fraudulent credit card usage attempts. The team targets a 10-minute or faster response time for such incidents. The fraudulent card list is updated every 60 seconds. The e- commerce servers log the transaction details in near-real time. Which option should you recommend to the security team?

  • A. Maintain a log ingestion exclusion filter based on the fraudulent credit card lists.
  • B. Create a new logging export with a filter to match the transaction and a sink pointing to a Cloud Pub/Sub topic.
  • C. Use AutoML to automatically build models based on the fraudulent credit card lists.
  • D. Define a log-based metric for each fraudulent credit card, and set a Stackdriver alert for these metrics.

Answer: B

Explanation:
A is not correct because creating a metric for every credit card will not scale well.
B is not correct because it will exclude the transactions that are relevant to the security team.
C is not correct because while we could use AutoML to build models, this solution is incomplete without deploying and running the model, as well as wiring them up with some consumer service.
D is correct because this will capture the important events and pass them to Pub/Sub which in turn can send the message to a consumer service like a chat notification webhook.
https://cloud.google.com/logging/docs/export/configure_export_v2


NEW QUESTION # 147
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?

  • A. Use Puppet or Chef to push out the patch to the running container.
  • B. Verify that auto upgrade is enabled; if so, Google will upgrade the nodes in a GKE cluster.
  • C. Configure containers to automatically upgrade when the base image is available in Container Registry.
  • D. Update the application code or apply a patch, build a new image, and redeploy it.

Answer: D

Explanation:
When a vulnerability patch is released for a running container in Google Kubernetes Engine (GKE), the recommended approach is to update the application code or apply the patch directly to the codebase. Then, a new container image should be built incorporating these changes. After building the new image, it should be deployed to replace the running containers. This method ensures that the containers run the updated, secure code.
Steps:
* Update Application Code: Modify the application code or dependencies to incorporate the vulnerability patch.
* Build New Image: Use a tool like Docker to build a new container image with the updated code.
* Push New Image: Push the new container image to the Container Registry.
* Update Deployments: Update the Kubernetes deployment to use the new image. This can be done by modifying the image tag in the deployment YAML file.
* Redeploy Containers: Apply the updated deployment configuration using kubectl apply -f < deployment-file>.yaml, which will redeploy the containers with the new image.
References:
* Google Cloud: Container security
* Kubernetes: Updating an application


NEW QUESTION # 148
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