Google Professional Cloud Security Engineer PROFESSIONAL CLOUD SECURITY ENGINEER Dumps in PDF

Free Google PROFESSIONAL CLOUD SECURITY ENGINEER Real Questions (page: 4)

An organization's typical network and security review consists of analyzing application transit routes, request handling, and firewall rules. They want to enable their developer teams to deploy new applications without the overhead of this full review.

How should you advise this organization?

  1. Use Forseti with Firewall filters to catch any unwanted configurations in production.
  2. Mandate use of infrastructure as code and provide static analysis in the CI/CD pipelines to enforce policies.
  3. Route all VPC traffic through customer-managed routers to detect malicious patterns in production.
  4. All production applications will run on-premises. Allow developers free rein in GCP as their dev and QA platforms.

Answer(s): B

Explanation:

https://cloud.google.com/recommender/docs/tutorial-iac



An employer wants to track how bonus compensations have changed over time to identify employee outliers and correct earning disparities. This task must be performed without exposing the sensitive compensation data for any individual and must be reversible to identify the outlier.

Which Cloud Data Loss Prevention API technique should you use to accomplish this?

  1. Generalization
  2. Redaction
  3. CryptoHashConfig
  4. CryptoReplaceFfxFpeConfig

Answer(s): D

Explanation:

De-identifying sensitive data Cloud Data Loss Prevention (DLP) can de-identify sensitive data in text content, including text stored in container structures such as tables. De-identification is the process of removing identifying information from data. The API detects sensitive data such as personally identifiable information (PII), and then uses a de-identification transformation to mask, delete, or otherwise obscure the data. For example, de-identification techniques can include any of the following: Masking sensitive data by partially or fully replacing characters with a symbol, such as an asterisk (*) or hash (#). Replacing each instance of sensitive data with a token, or surrogate, string. Encrypting and replacing sensitive data using a randomly generated or pre-determined key.
When you de-identify data using the CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig infoType transformations, you can re-identify that data, as long as you have the CryptoKey used to originally de-identify the data. https://cloud.google.com/dlp/docs/deidentify-sensitive-data



An organization adopts Google Cloud Platform (GCP) for application hosting services and needs guidance on setting up password requirements for their Cloud Identity account. The organization has a password policy requirement that corporate employee passwords must have a minimum number of characters.

Which Cloud Identity password guidelines can the organization use to inform their new requirements?

  1. Set the minimum length for passwords to be 8 characters.
  2. Set the minimum length for passwords to be 10 characters.
  3. Set the minimum length for passwords to be 12 characters.
  4. Set the minimum length for passwords to be 6 characters.

Answer(s): A

Explanation:

Default password length is 8 characters.
https://support.google.com/cloudidentity/answer/33319?hl=en https://support.google.com/cloudidentity/answer/139399?hl=en#:~:text=It%20can%20be%20betwe en%208,decide%20to%20change%20their%20password.



You need to follow Google-recommended practices to leverage envelope encryption and encrypt data at the application layer.

What should you do?

  1. Generate a data encryption key (DEK) locally to encrypt the data, and generate a new key encryption key (KEK) in Cloud KMS to encrypt the DEK. Store both the encrypted data and the encrypted DEK.
  2. Generate a data encryption key (DEK) locally to encrypt the data, and generate a new key encryption key (KEK) in Cloud KMS to encrypt the DEK. Store both the encrypted data and the KEK.
  3. Generate a new data encryption key (DEK) in Cloud KMS to encrypt the data, and generate a key encryption key (KEK) locally to encrypt the key. Store both the encrypted data and the encrypted DEK.
  4. Generate a new data encryption key (DEK) in Cloud KMS to encrypt the data, and generate a key encryption key (KEK) locally to encrypt the key. Store both the encrypted data and the KEK.

Answer(s): A


Reference:

https://cloud.google.com/kms/docs/envelope-encryption

Envelope Encryption: https://cloud.google.com/kms/docs/envelope-encryption Here are best practices for managing DEKs:
-Generate DEKs locally.
-When stored, always ensure DEKs are encrypted at rest.
- For easy access, store the DEK near the data that it encrypts. The DEK is encrypted (also known as wrapped) by a key encryption key (KEK). The process of encrypting a key with another key is known as envelope encryption.
Here are best practices for managing KEKs:
-Store KEKs centrally. (KMS )
-Set the granularity of the DEKs they encrypt based on their use case. For example, consider a workload that requires multiple DEKs to encrypt the workload's data chunks. You could use a single KEK to wrap all DEKs that are responsible for that workload's encryption. -Rotate keys regularly, and also after a suspected incident.



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

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

Answer(s): C

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



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