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Professional-Cloud-Security-Engineer Unterlagen mit echte Prüfungsfragen der Google Zertifizierung

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Die Google Professional-Cloud-Security-Engineer Prüfung ist eine wertvolle Zertifizierung für Cloud-Sicherheitsfachleute und Ingenieure. Sie zeigt die Expertise des Kandidaten bei der Sicherung von Google Cloud Platform-Lösungen und bietet einen Wettbewerbsvorteil auf dem Arbeitsmarkt. Die Zertifizierung wird von Branchenführern anerkannt und bietet Möglichkeiten für Karriereentwicklung und höhere Gehälter. Darüber hinaus hilft die Zertifizierung Unternehmen dabei, qualifizierte und sachkundige Cloud-Sicherheitsfachleute und Ingenieure zu identifizieren.

Google Cloud Certified - Professional Cloud Security Engineer Exam Professional-Cloud-Security-Engineer Prüfungsfragen mit Lösungen (Q26-Q31):

26. Frage
Your company wants to determine what products they can build to help customers improve their credit scores depending on their age range. To achieve this, you need to join user information in the company's banking app with customers' credit score data received from a third party. While using this raw data will allow you to complete this task, it exposes sensitive data, which could be propagated into new systems.
This risk needs to be addressed using de-identification and tokenization with Cloud Data Loss Prevention while maintaining the referential integrity across the database. Which cryptographic token format should you use to meet these requirements?

A. Secure, key-based hashes
B. Cryptographic hashing
C. Format-preserving encryption
D. Deterministic encryption

Antwort: D

Begründung:
Explanation
"This encryption method is reversible, which helps to maintain referential integrity across your database and has no character-set limitations."
https://cloud.google.com/blog/products/identity-security/take-charge-of-your-data-how-tokenization-makes-data
https://cloud.google.com/dlp/docs/pseudonymization
FPE provides fewer security guarantees compared to other deterministic encryption methods such as AES-SIV. For these reasons, Google strongly recommends using deterministic encryption with AES-SIV instead of FPE for all security sensitive use cases. Other methods like deterministic encryption using AES-SIV provide these stronger security guarantees and are recommended for tokenization use cases unless length and character set preservation are strict requirements-for example, for backward compatibility with a legacy data system.

27. Frage
How should a customer reliably deliver Stackdriver logs from GCP to their on-premises SIEM system?

A. Configure every project to export all their logs to a common BigQuery DataSet, which will be queried by the SIEM system.
B. Configure Organizational Log Sinks to export logs to a Cloud Pub/Sub Topic, which will be sent to the SIEM via Dataflow.
C. Build a connector for the SIEM to query for all logs in real time from the GCP RESTful JSON APIs.
D. Send all logs to the SIEM system via an existing protocol such as syslog.

Antwort: B

Begründung:
Explanation
Scenarios for exporting Cloud Logging data: Splunk This scenario shows how to export selected logs from Cloud Logging to Pub/Sub for ingestion into Splunk. Splunk is a security information and event management (SIEM) solution that supports several ways of ingesting data, such as receiving streaming data out of Google Cloud through Splunk HTTP Event Collector (HEC) or by fetching data from Google Cloud APIs through Splunk Add-on for Google Cloud. Using the Pub/Sub to Splunk Dataflow template, you can natively forward logs and events from a Pub/Sub topic into Splunk HEC. If Splunk HEC is not available in your Splunk deployment, you can use the Add-on to collect the logs and events from the Pub/Sub topic.
https://cloud.google.com/solutions/exporting-stackdriver-logging-for-splunk

28. Frage
You have the following resource hierarchy. There is an organization policy at each node in the hierarchy as shown. Which load balancer types are denied in VPC A?

A. EXTERNAL_TCP_PROXY, EXTERNAL_SSL_PROXY, INTERNAL_TCP_UDP, and INTERNAL_HTTP_HTTPS are denied in accordance with the folder and project's policies.
B. INTERNAL_TCP_UDP, INTERNAL_HTTP_HTTPS is denied in accordance with the folder's policy.
C. EXTERNAL_TCP_PROXY, EXTERNAL_SSL_PROXY are denied in accordance with the project's policy.
D. All load balancer types are denied in accordance with the global node's policy.

Antwort: A

Begründung:
Understanding Organization Policies:
Organization policies are rules that can be set at different levels of the resource hierarchy in GCP to enforce governance and compliance.
These policies can be set at the organization node, folders, and projects, and they are inherited down the hierarchy unless explicitly overridden.
Hierarchy and Policy Inheritance:
The provided resource hierarchy has an organization node (Example.com), folders (Folder 1 and Folder 2), and a project (Project 2) under Folder 2 with a specific VPC (VPC A).
Each node in the hierarchy can have its own policies, and these policies are inherited by child nodes unless overridden.
Analyzing the Policies in the Hierarchy:
Organization Node Policy:
json
Copy code
{ "constraint": "constraints/compute.restrictLoadBalancerCreationForTypes", "listPolicy": { "allValues": "DENY" } } This policy at the organization node denies all load balancer types.
Folder 2 Policy:
json
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{ "constraint": "constraints/compute.restrictLoadBalancerCreationForTypes", "listPolicy": { "deniedValues": ["INTERNAL_TCP_UDP", "INTERNAL_HTTP_HTTPS"] } } This policy at Folder 2 denies the creation of INTERNAL_TCP_UDP and INTERNAL_HTTP_HTTPS load balancers.
Project 2 Policy:
json
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{ "constraint": "constraints/compute.restrictLoadBalancerCreationForTypes", "listPolicy": { "deniedValues": ["EXTERNAL_TCP_PROXY", "EXTERNAL_SSL_PROXY"] } } This policy at Project 2 denies the creation of EXTERNAL_TCP_PROXY and EXTERNAL_SSL_PROXY load balancers.
Policy Application to VPC A:
Since policies are inherited, VPC A (which is within Project 2 under Folder 2) will be affected by the policies of both Folder 2 and Project 2.
Combining the denied values from both Folder 2 and Project 2:
From Folder 2: INTERNAL_TCP_UDP, INTERNAL_HTTP_HTTPS
From Project 2: EXTERNAL_TCP_PROXY, EXTERNAL_SSL_PROXY
Conclusion:
VPC A will have the following load balancer types denied: INTERNAL_TCP_UDP, INTERNAL_HTTP_HTTPS, EXTERNAL_TCP_PROXY, EXTERNAL_SSL_PROXY.
Reference:
GCP Documentation on Organization Policies
GCP Documentation on Constraints and List Policies

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

Antwort: C

Begründung:
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

30. Frage
Your organization uses Google Workspace Enterprise Edition for authentication. You are concerned about employees leaving their laptops unattended for extended periods of time after authenticating into Google Cloud. You must prevent malicious people from using an employee's unattended laptop to modify their environment.
What should you do?

A. Create a policy that requires employees to not leave their sessions open for long durations.
B. Require strong passwords and 2SV through a security token or Google authenticator.
C. Set the session length timeout for Google Cloud services to a shorter duration.
D. Review and disable unnecessary Google Cloud APIs.

Antwort: C

31. Frage
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