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| Section | Objectives |
|---|---|
| Ensure data protection | - Encryption and key management
|
| Manage operations within a cloud security environment | - Security monitoring and operations
|
| Configure network security | - Google Cloud network security controls
|
| Configure access within a cloud solution environment | - Identity and Access Management (IAM)
|
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29. Frage
Your organization wants to be compliant with the General Data Protection Regulation (GDPR) on Google Cloud You must implement data residency and operational sovereignty in the EU.
What should you do?
Choose 2 answers
Antwort: A,D
Begründung:
https://cloud.google.com/architecture/framework/security/data-residency- sovereignty#manage_your_operational_sovereignty To ensure compliance with GDPR and implement data residency and operational sovereignty in the EU, the following steps can be taken:
Limit Physical Location of Resources: Use the Organization Policy Service to enforce the resource locations constraint. This ensures that all new resources are created within the specified regions (EU in this case).
Configure Organization Policy: Set up an organization policy that restricts the locations where new resources can be created. This is done through the Google Cloud Console or via the gcloud command-line tool.
Example:
gcloud resource-manager org-policies allow constraints/gcp.resourceLocations [europe-west1,europe-west2] -- organization=YOUR_ORG_ID Key Access Justifications (KAJ): Use Key Access Justifications to limit Google personnel's access to encryption keys based on attributes like their geographic location or citizenship.
Set Up KAJ: Implement KAJ policies to ensure that only authorized personnel within the EU can access encryption keys.
References
Organization Policy Service
Key Access Justifications
30. Frage
An organization is evaluating the use of Google Cloud Platform (GCP) for certain IT workloads. A well- established directory service is used to manage user identities and lifecycle management. This directory service must continue for the organization to use as the "source of truth" directory for identities.
Which solution meets the organization's requirements?
Antwort: C
Begründung:
Explanation
With Google Cloud Directory Sync (GCDS), you can synchronize the data in your Google Account with your Microsoft Active Directory or LDAP server. GCDS doesn't migrate any content (such as email messages, calendar events, or files) to your Google Account. You use GCDS to synchronize your Google users, groups, and shared contacts to match the information in your LDAP server.
https://support.google.com/a/answer/106368?hl=en
31. Frage
As adoption of the Cloud Data Loss Prevention (DLP) API grows within the company, you need to optimize usage to reduce cost. DLP target data is stored in Cloud Storage and BigQuery. The location and region are identified as a suffix in the resource name.
Which cost reduction options should you recommend?
Antwort: A
Begründung:
https://cloud.google.com/dlp/docs/inspecting-storage#sampling
https://cloud.google.com/dlp/docs/best-practices-
costs#limit_scans_of_files_in_to_only_relevant_files
32. Frage
Your financial services company is migrating its operations to Google Cloud. You are implementing a centralized logging strategy to meet strict regulatory compliance requirements. Your company's Google Cloud organization has a dedicated folder for all production projects. All audit logs, including Data Access logs from all current and future projects within this production folder, must be securely collected and stored in a central BigQuery dataset for long-term retention and analysis. To prevent duplicate log storage and to enforce centralized control, you need to implement a logging solution that intercepts and overrides any project-level log sinks for these audit logs, to ensure that logs are not inadvertently routed elsewhere. What should you do?
Antwort: C
Begründung:
The problem's critical requirements are: centralized collection of all audit logs (including Data Access logs) from a production folder to a central BigQuery dataset, with long-term retention, and most importantly, the ability to intercept and override any project-level log sinks to prevent duplicate storage or misrouting.
Aggregated Log Sink at Folder Level: To centralize logs from all current and future projects within the
"production folder," an aggregated sink configured at the folder level is the correct approach. Logs generated in child projects will flow up to the folder level and be matched by this sink.
Extract Reference: "Aggregated exports allow you to export logs from multiple Google Cloud projects, folders, or your entire organization. An aggregated export can include all logs from all included resources, or you can use queries to include only specific logs." (Google Cloud Documentation: "Route logs to supported destinations | Cloud Logging" - https://cloud.google.com/logging/docs/export/aggregated_exports) Intercepting Sink (--intercept-logs / overrideDestinations): This is the crucial feature to meet the "intercept and override" requirement. When an aggregated sink is configured as an "intercepting" sink, any log entries that match its filter are immediately routed to its destination and are not processed by any lower-level sinks (e.
g., project-level sinks). This ensures that logs are not inadvertently routed elsewhere and prevents duplicate storage.
Extract Reference: "An intercepting sink is an aggregated sink that, if it includes the overrideDestinations field set to true, stops matched log entries from propagating to lower-level sinks in the Cloud Logging resource hierarchy." (Google Cloud Documentation: "Route logs to supported destinations | Cloud Logging" -
https://cloud.google.com/logging/docs/export/aggregated_exports)
BigQuery Destination and IAM Permissions: BigQuery is specified as the long-term retention destination.
The sink's writer_identity (a service account automatically created for the sink) needs appropriate IAM permissions (e.g., BigQuery Data Editor or BigQuery User) on the target BigQuery dataset to write logs.
Inclusion Filter for Audit Logs: An inclusion filter is necessary to ensure only the required audit logs, including Data Access logs (logName:"cloudaudit.googleapis.com" OR logName:"data_access"), are routed.
Let's evaluate the other options:
A). Standard aggregated log sink... Logs Bucket Writer: A standard aggregated sink does not intercept or override lower-level sinks. Also, Logs Bucket Writer role is for Cloud Logging buckets, not BigQuery. The correct role would be for BigQuery.
B). Log sink in each production project: This is not a centralized solution and would require manual configuration for every project, which is inefficient and error-prone for "all current and future projects." It also doesn't provide any override mechanism.
C). Aggregated log sink at the organization level... configure a log view: While an organization-level sink offers broad centralization, if the requirement is specifically for a production folder and not the entire organization, a folder-level intercepting sink is more targeted. A log view is for displaying logs, not for routing or overriding. The --include-children flag is implied for aggregated sinks but doesn't provide the intercepting behavior.
Therefore, creating an intercepting aggregated log sink at the production folder level, configured to send audit logs to BigQuery, is the precise solution to meet all the stated requirements, especially the crucial "intercept and override" condition.
33. Frage
A DevOps team will create a new container to run on Google Kubernetes Engine. As the application will be internet-facing, they want to minimize the attack surface of the container.
What should they do?
Antwort: D
Begründung:
Explanation
Small containers usually have a smaller attack surface as compared to containers that use large base images.https://cloud.google.com/blog/products/gcp/kubernetes-best-practices-how-and-why-to-build-small-conta
34. Frage
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