An enterprise is deploying confidential workloads onto Compute Engine instances within a custom VPC subnet that has no external IP addresses and no default internet gateway route. The security team has defined a VPC Service Controls (VPC-SC) perimeter protecting services such as Cloud Storage and BigQuery. To enforce strict perimeter boundaries and prevent data exfiltration, the architecture must satisfy these criteria: Compute Engine instances must communicate privately with Google APIs using internal routing. Instances must be blocked from sending requests to Google APIs and services that are not supported by VPC Service Controls. Network routes and DNS resolution within the VPC must guarantee that all API traffic resolves exclusively to the restricted VIP range. Which network and DNS configuration should the security engineer implement?

Enable Private Google Access on the subnet, create a Cloud DNS private zone for `googleapis.com` with a CNAME record directing `*.googleapis.com` to `restricted.googleapis.com`, and map `restricted.googleapis.com` to `199.36.153.4/30`.: What the restricted.googleapis.com VIP is The restricted.googleapis.com virtual IP (VIP) address range (199.36.153.4/30 for IPv4) is a specialized Google Cloud endpoint designed specifically to integrate with VPC Service Controls. When workloads route API traffic to this VIP, Google Cloud only accepts API calls directed to services that support VPC Service Controls perimeters. How it meets the requirements Internal Private Connectivity: Enabling Private Google Access on the subnet allows VM instances without external IP addresses to reach Google API VIPs over internal Google network routing. Blocking Unsupported Services: Directing traffic to restricted.googleapis.com automatically drops or rejects requests targeting Google services that do not support VPC Service Controls. This prevents workloads from exfiltrating data via unvetted, non-perimeter-protected APIs. Deterministic DNS Routing: Configuring a private Cloud DNS response policy or private zone for googleapis.com with a wildcard CNAME to restricted.googleapis.com ensures that all VM API calls natively resolve to 199.36.153.4/30. Key advantages Data Exfiltration Mitigation: Ensures egress traffic from VMs cannot reach unauthorized consumer services or unsupported Google APIs. Native VPC Integration: Works seamlessly with existing VPC routing tables and internal DNS resolution mechanisms. Strict Perimeter Enforcement: Guarantees that IAM and perimeter ingress/egress rules are evaluated for every API invocation. Zero Internet Exposure: Completely avoids assigning public IP addresses or deploying NAT gateways. Why this is optimal Routing to restricted.googleapis.com is the Google Cloud best practice for environments governed by VPC Service Controls. It ensures that traffic cannot bypass perimeter security boundaries while keeping network traffic entirely private.

Vpc Service Controls Restricted Vip Dns Config | Professional Cloud Security Engineer

AdvancedProfessional Cloud Security Engineer

A security engineer needs to establish centralized detection and alerting across an enterprise Google Cloud organization for unauthorized API invocation attempts and policy violations blocked at the perimeter. The solution must fulfill the following operational requirements: Capture and distinguish between administrative configuration modifications and perimeter or policy denial events. Enable automated near-real-time alerting in Cloud Monitoring when unauthorized or denied API invocation attempts spike across projects. Ingest and centralize the required audit telemetry without incurring unexpected ingestion drop-offs due to default project settings. Which configuration strategy should the engineer implement?

Continually monitoring and restricting configured APIs.

AdvancedProfessional Cloud Security Engineer

An enterprise organization is establishing perimeter security and API governance across its Google Cloud resource hierarchy. A security engineer must implement controls to meet the following requirements: Requirement 1: Prevent project owners in the Development folder from activating or consuming any unapproved Google Cloud APIs, ensuring only an explicit allowlist of authorized services (such as Compute Engine and Cloud Storage) can be used. Requirement 2: Secure external API keys used by backend web servers so that the keys can only be used from authorized server IP addresses and can only invoke the designated backend service API. Which combination of controls should the security engineer implement to satisfy these requirements?

Continually monitoring and restricting configured APIs.

AdvancedProfessional Cloud Security Engineer

A security engineer is designing an automated image maintenance pipeline in Google Cloud to ensure base container images are continuously patched against newly disclosed vulnerabilities and dependencies remain up to date. The solution must meet the following requirements: Automatically rebuild base container images on a recurring daily schedule to incorporate upstream operating system patches and library updates. Store rebuilt container images in a private Artifact Registry Docker repository and automatically scan them for vulnerabilities. Trigger the build pipeline programmatically on a cron schedule using native Google Cloud services while adhering to least-privilege access control. Which architecture and configuration should the engineer implement?

Automating virtual machine and container image creation (e.g., hardening, maintenance, VM patch management).

AdvancedProfessional Cloud Security Engineer

An enterprise is architecting an automated data protection pipeline using Sensitive Data Protection (SDP) and Cloud Dataflow to sanitize transactional records before storing them in BigQuery. The solution must satisfy the following distinct workload requirements: Downstream Analytics Workload: Analysts need to execute SQL JOIN and aggregation operations on customer identifiers across multiple independent batch jobs and streaming runs. The tokens must be mathematically irreversible (one-way) to prevent sensitive identity leakage under any circumstance. Regulatory Compliance Workload: Compliance officers must be able to reverse the pseudonyms (two-way tokenization) back to cleartext during authorized audits. Downstream systems for this workload do not have legacy schema or field-length constraints, so the strongest cryptographic authentication guarantees must be used. Key Security Policy: Plaintext keys must never be exposed over API calls or templates, and tokenization integrity must persist consistently across multiple API requests and pipeline runs. Which combination of Sensitive Data Protection cryptographic transformations and key configurations should the security engineer implement?

Configuring Sensitive Data Protection (SDP) (e.g., discovering and redacting personally identifiable information (PII), configuring pseudonymization and format preserving encryption).

AdvancedProfessional Cloud Security Engineer

An enterprise organization is deploying an internet-facing web service on Compute Engine instances in Google Cloud. The security and compliance teams have defined the following technical and architectural requirements: Jurisdictional compliance: Transport Layer Security (TLS) decryption and session termination must strictly occur within the europe-west3 region; terminating TLS at globally distributed edge points of presence (PoPs) is prohibited. Application traffic management: The load balancer must evaluate HTTP(S) request attributes to support URL path-based routing, header transformations, and percentage-based canary traffic splitting. Network perimeter isolation: Managed proxies handling the traffic must reside within the VPC network and draw IP addresses from a dedicated, reserved proxy-only subnet in the region. Which load balancing architecture should the security engineer deploy to satisfy all requirements?

Configuring network perimeter controls (e.g., Cloud Next Generation Firewall [Cloud NGFW] rules and policies, Identity-Aware Proxy [IAP], load balancers, and Certificate Authority Service).

IntermediateProfessional Cloud Architect

A data processing application running on Google Cloud programmatically queries Google Cloud APIs to monitor thousands of compute resources. During peak operations, the application encounters transient rate-limiting and temporary service unavailability errors. Currently, the application executes immediate retries at fixed intervals, causing synchronized traffic bursts that worsen backend congestion. Furthermore, the application retrieves full resource definitions when it only requires resource state fields, causing unnecessary network overhead. You need to optimize the application's programmatic API interactions to improve resilience and minimize network latency. Which approach should you implement?

Accessing Google API best practices

Professional Cloud Security Engineer

Vpc Service Controls Restricted Vip Dns Config

Related questions

Professional Cloud Security Engineer

Vpc Service Controls Restricted Vip Dns Config

What the restricted.googleapis.com VIP is

How it meets the requirements

Key advantages

Why this is optimal

Related questions

What the restricted.googleapis.com VIP is

How it meets the requirements

Key advantages

Why this is optimal