Associate-Cloud-Engineer Exam Dumps - Google Cloud Certified - Associate Cloud Engineer

Cloud Spanner is a relational database and is highly scalable. Cloud Spanner is a highly scalable, enterprise-grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with a non-relational horizontal scale. This combination delivers high-performance transactions and strong consistency across rows, regions, and continents with an industry-leading 99.999% availability SLA, no planned downtime, and enterprise-grade security

Ref: https://cloud.google.com/spanner

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The correct answer is B because the Organization Policy Service provides a managed resource locations constraint for restricting where supported location-based resources can be created. Using the gcp.resourceLocations list constraint with an allowed_values entry is the cleanest and lowest-maintenance approach. The in:australia-locations value represents Google’s predefined location group for Australia locations, avoiding manual custom logic. A denied_values policy would block only specified locations and could accidentally allow other regions, which does not satisfy the strict regulatory requirement. Custom CEL policies add unnecessary complexity and are less appropriate when a built-in list constraint exists for this exact purpose. The requirement asks for minimal configuration, so using the predefined location group in allowed_values is the strongest fit.

To minimize latency for global users and support growth across multiple geographical regions, you must deploy your resources in those regions and use a global load balancing service.

Action B (Multi-Region Deployment): Deploying VMs in multiple regions closest to your users is necessary to reduce latency (by shortening the physical distance data must travel) and support regional growth.

Action C (Global External Application Load Balancer): The external Application Load Balancer (Global) is the Google-recommended Layer 7 solution for applications that require global reach. It provides a single anycast IP address and directs users to the nearest healthy backend, thus minimizing latency globally.

Database Center is the correct choice because it is designed to provide a centralized view of Google Cloud database and data storage services, including operational health and availability-related insights. The requirement is not only to list assets but to monitor the health of multiple managed data services and identify downtime risk. Dataplex Universal Catalog is mainly for data discovery, governance, and metadata search, not operational database health monitoring. Terraform state only reflects resources managed by Terraform and does not provide live service health or risk signals. Cloud Asset Inventory can show resource inventory, but it is not the best operational console for database health. Database Center gives the unified operational overview required with the least manual effort.

Spot VMs (formerly known as preemptible VMs) are Compute Engine virtual machine instances that are available at a much lower price than standard Compute Engine instances. However, Compute Engine might preempt (stop) these instances if it needs to reclaim those resources for other tasks. This makes Spot VMs ideal for batch processing jobs that are fault-tolerant and can handle interruptions, as they can be restarted when resources become available again. This directly addresses the requirement for a cost-effective solution for interruptible workloads.

Option A: While containerization offers portability and consistency, it doesn ' t inherently provide cost savings for compute resources. You would still need to choose a cost-effective underlying compute option.

Option B: Custom machine types allow you to tailor the CPU and memory configuration of your VMs, which can optimize costs to some extent by avoiding over-provisioning. However, they don ' t offer the significant cost reduction that Spot VMs provide.

Option C: The M1 machine series is a specific family of Compute Engine instances optimized for memory-intensive workloads. While potentially suitable for the job ' s requirements, it doesn ' t inherently address the cost-effectiveness requirement as directly as Spot VMs, which are priced lower regardless of the machine series.

Reference to Google Cloud Certified - Associate Cloud Engineer Documents:

The concept and use cases for Spot VMs are explicitly covered in the Compute Engine section of the Google Cloud documentation, which is a key area for the Associate Cloud Engineer certification. The cost savings and suitability for fault-tolerant workloads are highlighted as primary benefits.

The organization policy explicitly prevents the use of service account keys, so options A and B, which involve requesting exceptions to create them, are not in line with the policy and Google ' s recommended practices for secure authentication.