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You have just created a new log bucket to replace the _Default log bucket. You want to route all log entries that are currently routed to the _Default log bucket to this new log bucket in the most efficient manner. What should you do?
In Google Cloud's Logging service, log entries are automatically routed to the _Default log bucket unless configured otherwise. When you create a new log bucket and intend to redirect all log entries from the _Default bucket to this new bucket, the most efficient approach is to modify the existing _Default sink to point to the new log bucket.
Option A: Creating a new user-defined sink with filters replicated from the _Default sink is redundant and may lead to configuration complexities.
Option B: Implementing exclusion filters on the _Default sink and then creating a new sink introduces unnecessary steps and potential for misconfiguration.
Option C: Disabling the _Default sink would stop all log routing to it, but creating a new sink to replicate its functionality is inefficient.
Option D: Editing the _Default sink to change its destination to the new log bucket ensures a seamless transition of log routing without additional configurations.
Therefore, Option D is the most efficient and straightforward method to achieve the desired log routing.
Routing and Storage Overview
Configure Default Log Router Settings
Your company requires the security and network engineering teams to identify all network anomalies and be able to capture payloads within VPCs. Which method should you use?
https://cloud.google.com/vpc/docs/packet-mirroring
Packet Mirroring clones the traffic of specified instances in your Virtual Private Cloud (VPC) network and forwards it for examination. Packet Mirroring captures all traffic and packet data, including payloads and headers.
A customer needs an alternative to storing their plain text secrets in their source-code management (SCM) system.
How should the customer achieve this using Google Cloud Platform?
Storing secrets securely is crucial for maintaining the integrity and confidentiality of your applications. Here is how you can achieve this using Google Cloud Platform:
Encrypt the Secrets: Use Customer-Managed Encryption Keys (CMEK) to encrypt your secrets. CMEK allows you to have greater control over the encryption keys used to protect your data. This ensures that even if the storage medium is compromised, the secrets remain protected by strong encryption.
Store in Cloud Storage: Store the encrypted secrets in Google Cloud Storage. Cloud Storage is a secure and scalable object storage service. By using encrypted storage, you can ensure that the secrets are securely stored and can only be accessed by authorized entities.
This method provides a secure and managed way to store secrets, ensuring that they are not exposed in plain text within your source code management system.
Customer-Managed Encryption Keys (CMEK)
Google Cloud Storage Security
You are a consultant for an organization that is considering migrating their data from its private cloud to Google Cloud. The organization's compliance team is not familiar with Google Cloud and needs guidance on how compliance requirements will be met on Google Cloud. One specific compliance requirement is for customer data at rest to reside within specific geographic boundaries. Which option should you recommend for the organization to meet their data residency requirements on Google Cloud?
To meet data residency requirements on Google Cloud, the recommended option is to use Organization Policy Service constraints. This service allows you to define and enforce specific constraints across your organization, including constraints related to the geographical location where data is stored.
Organization Policy Service constraints allow administrators to enforce policies that restrict resources to specific locations. For instance, you can set policies to ensure that all storage buckets, databases, and other data resources reside within specific geographic boundaries. This helps in complying with data residency requirements.
Organization Policy Service documentation
Google Cloud Data Residency
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?
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.
Google Cloud: Data Loss Prevention
Cloud Functions documentation
