You have developed a non-critical update to your application that is running in a managed instance group, and have created a new instance template with the update that you want to release. To prevent any possible impact to the application, you don't want to update any running instances. You want any new instances that are created by the managed instance group to contain the new update. What should you do?
Answer(s): D
Here's a detailed justification for why option D is the correct answer:The goal is to introduce a non-critical update without impacting existing running instances. We want the update to be applied only to new instances created by the managed instance group (MIG). Option D, "Start a new rolling update. Select the Opportunistic update mode," achieves this.Rolling updates involve gradually updating instances in a MIG. There are two key modes for these updates: Proactive and Opportunistic. Proactive updates immediately start replacing existing instances, which is explicitly against the requirement in this scenario. Opportunistic updates, on the other hand, only apply the new instance template when the MIG scales up or repairs a failing instance. In this case, the new instances will be based on the updated template, allowing for a gradual adoption of the update without forcibly impacting the existing application.Option A, "Start a new rolling restart operation," would not apply the new instance template, meaning new instances would continue to use the old template after a restart. Option B, "Start a new rolling replace operation," would replace all existing instances with the new template, which is contrary to the requirement of not updating current instances. Option C, "Start a new rolling update. Select the Proactive update mode," while using rolling updates, would force the update to existing instances because of the "Proactive" mode, which also contradicts the scenario's need.Therefore, option D's "Opportunistic" approach is the only one that meets the stated requirements: no impact to currently running instances and new instances getting the update upon creation or replacement.Relevant links for further research:Google Cloud Documentation on Rolling Updates: https://cloud.google.com/compute/docs/instance-groups/updating-managed-instance-groups#rolling_updates Google Cloud Documentation on Opportunistic Updates: https://cloud.google.com/compute/docs/instance-groups/updating-managed-instance-groups#opportunistic_update
Your company is designing its application landscape on Compute Engine. Whenever a zonal outage occurs, the application should be restored in another zone as quickly as possible with the latest application data. You need to design the solution to meet this requirement. What should you do?
Answer(s): B
Option B is the most appropriate solution because it leverages regional resources for high availability and disaster recovery within a single region. An instance template defines the configuration of a virtual machine, allowing for rapid deployment of identical instances. A regional persistent disk provides data replication across multiple zones within a region. Therefore, when a zonal outage occurs, the application can be restored in another zone by using the existing instance template to spin up a new VM and attaching the already replicated regional persistent disk, ensuring data consistency and minimal downtime. Option A is incorrect because restoring a disk in the same zone doesn't address a zonal outage; the zone is unavailable. Option C is partially correct, but involves manual disk restoration, which is slower than automatically spinning up a new instance. Option D is an over-engineered solution because it introduces complexity by involving a different region when the desired failover is within the same region, also this implies an increased latency. Additionally, option D adds complexity with data transfer across regions. In conclusion, Option B is the best approach as it offers rapid recovery with minimal effort, leveraging GCP's regional resources for disaster recovery within the same region.Supporting Cloud Computing Concepts:Instance Templates: Provide reusable configurations for VM instances, enabling consistent and rapid deployments. https://cloud.google.com/compute/docs/instance-templates Regional Persistent Disks: Offer data replication across multiple zones within a region for high availability and fault tolerance. https://cloud.google.com/compute/docs/disks/#regionalpds High Availability (HA): Designing systems to minimize downtime and ensure service continuity, often through redundancy and failover mechanisms. Disaster Recovery (DR): Strategies for recovering from a disaster scenario, including data protection, and system restoration. Zonal vs. Regional Resources: Understanding the scope of resources, where zonal resources reside in a single zone while regional resources are replicated across multiple zones within a region.https://cloud.google.com/compute/docs/regions-zones
Your company has just acquired another company, and you have been asked to integrate their existing Google Cloud environment into your company's data center. Upon investigation, you discover that some of the RFC 1918 IP ranges being used in the new company's Virtual Private Cloud (VPC) overlap with your data center IP space. What should you do to enable connectivity and make sure that there are no routing conflicts when connectivity is established?
Answer(s): A
The correct answer is A: Create a Cloud VPN connection from the new VPC to the data center, create a Cloud Router, and apply new IP addresses so there is no overlapping IP space.Here's why:Overlapping RFC 1918 IP ranges between the acquired company's VPC and your data center will create routing conflicts. Direct connectivity will be impossible or highly unstable because devices wouldn't know which path to take when an IP address is used in both networks. Option A addresses this fundamentally by suggesting re-addressing.Cloud VPN establishes a secure, encrypted tunnel between your networks, facilitating connectivity. Cloud Router dynamically manages route information exchange (using BGP) across the VPN tunnel. Therefore, a Cloud VPN connection along with Cloud Router is the base infrastructure needed to connect the two networks.However, simply creating the VPN isn't sufficient due to the overlapping IPs. Changing the IP address space in the acquired VPC prevents routing conflicts. Once the re-addressing is completed, the two networks can communicate without ambiguity.Option B, using Cloud NAT, does not resolve the fundamental routing issues. NAT translates private IPs into public IPs but does not solve the overlapping ranges issue within the private address space of the connected networks. It also requires more complex configurations and might impact internal application functionality.Option C, using custom route advertisements to block overlapping IPs, won't facilitate communication where needed. Although it would prevent conflicts, it would also block desired communication. It’s a cumbersome solution.Option D, using firewall rules, will block traffic, but it will not resolve the routing conflict and make it very difficult to troubleshoot and manage.Therefore, changing the overlapping IP ranges and using VPN & Cloud Router is the proper approach. This avoids routing conflicts and facilitates reliable connectivity. It adheres to best practices for merging networks with IP overlap.Authoritative Links:Google Cloud VPN: https://cloud.google.com/network-connectivity/docs/vpn/concepts/overview Google Cloud Router: https://cloud.google.com/network-connectivity/docs/router/concepts/overview RFC 1918 (Private IP Addresses): https://datatracker.ietf.org/doc/html/rfc1918
You need to migrate Hadoop jobs for your company's Data Science team without modifying the underlying infrastructure. You want to minimize costs and infrastructure management effort. What should you do?
The best solution for migrating Hadoop jobs without modifying the underlying infrastructure while minimizing costs and management effort is to leverage Dataproc with preemptible worker instances (Option B) . Dataproc is a managed Hadoop and Spark service on Google Cloud Platform, abstracting away the complexities of setting up and managing a Hadoop cluster. This fulfills the requirement of avoiding infrastructure modification. Preemptible VMs offer a significant cost reduction compared to standard VMs, as they can be reclaimed by Google Cloud if capacity is needed elsewhere. This aligns with the need to minimize costs. Hadoop jobs are often fault-tolerant, and transient failures due to preemptions are typically manageable, particularly for batch processing. Therefore, the cost savings from preemptible instances outweigh the potential inconvenience. Option A, while using Dataproc, doesn't address the cost minimization aspect as effectively. Options C and D, manually deploying a Hadoop cluster on Compute Engine, introduce considerable infrastructure management overhead, contradicting the requirement to minimize management effort. Therefore, Dataproc with preemptible worker instances provides the optimal balance of cost-effectiveness, reduced management, and efficient job execution, while adhering to the requirement of not modifying the underlying architecture.Further Research:Google Cloud Dataproc Documentation: https://cloud.google.com/dataproc/docs Preemptible VMs: https://cloud.google.com/compute/docs/instances/preemptible Cost Optimization with Dataproc: https://cloud.google.com/blog/products/data-analytics/how-to-reduce-dataproc-costs-using-preemptible-vms
Your company has a project in Google Cloud with three Virtual Private Clouds (VPCs). There is a Compute Engine instance on each VPC. Network subnets do not overlap and must remain separated. The network configuration is shown below.Instance #1 is an exception and must communicate directly with both Instance #2 and Instance #3 via internal IPs. How should you accomplish this?
Add two additional NICs to Instance #1 with the following configuration: ¢ NIC1 ג —‹ VPC: VPC #2 ג —‹ SUBNETWORK: subnet #2 ¢ NIC2 ג —‹ VPC: VPC #3 ג —‹ SUBNETWORK: subnet #3 Update firewall rules to enable traffic between instances.
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