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Google Professional-Cloud-Network-Engineer certification is ideal for network engineers, network administrators, and cloud architects who work with Google Cloud Platform. Google Cloud Certified - Professional Cloud Network Engineer certification demonstrates the ability to design, implement, and manage secure and scalable network solutions on the Google Cloud Platform. Professional-Cloud-Network-Engineer Exam comprises of multiple choice and scenario-based questions that test a candidate's ability to apply their knowledge to real-world scenarios.
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To obtain the Google Cloud Certified - Professional Cloud Network Engineer certification, candidates must pass a rigorous exam that tests their knowledge and expertise in various areas such as cloud networking, network security, and network optimization. Professional-Cloud-Network-Engineer Exam is intended to assess the candidate's ability to design, develop and implement a secure, scalable and reliable network infrastructure on the Google Cloud Platform.
The Google Professional Cloud Network Engineer exam helps the specialists use the Google Cloud Platform for managing and implementing network architectures.
NEW QUESTION # 252
You are deploying an application that runs on Compute Engine instances. You need to determine how to expose your application to a new customer You must ensure that your application meets the following requirements
* Maps multiple existing reserved external IP addresses to the Instance
* Processes IP Encapsulating Security Payload (ESP) traffic
What should you do?
Answer: C
Explanation:
The correct answer is C. Configure a target instance, and create a protocol forwarding rule for each external IP address to be mapped to the instance.
This answer is based on the following facts:
A target instance is a Compute Engine instance that handles traffic from one or more forwarding rules1. You can use target instances to forward traffic to a single VM instance from one or more external IP addresses2.
A protocol forwarding rule specifies the IP protocol and port range for the traffic that you want to forward3. You can use protocol forwarding rules to forward traffic of any IP protocol, including ESP4.
The other options are not correct because:
Option A is not possible. You cannot create protocol forwarding rules for a target pool. A target pool is a group of instances that receives traffic from a network load balancer5.
Option B is not suitable. You do not need to create an external network load balancer for each external IP address. An external network load balancer distributes traffic among multiple backend instances based on the destination IP address and port. You can use a single load balancer with multiple forwarding rules to map multiple external IP addresses to the same backend service.
Option D is not feasible. You cannot add multiple external IP addresses to a single network interface of a Compute Engine instance. Each network interface can have only one external IP address that is either ephemeral or static. You can use alias IP ranges to assign multiple internal IP addresses to a single network interface, but not external IP addresses.
NEW QUESTION # 253
You are responsible for designing a new connectivity solution between your organization's on- premises data center and your Google Cloud Virtual Private Cloud (VPC) network. Currently, there is no end-to-end connectivity. You must ensure a service level agreement (SLA) of 99.99% availability. What should you do?
Answer: A
Explanation:
The following resources and settings are required to achieve 99.99% availability:
At least four Dedicated Interconnect connections, two connections in one metropolitan area (metro) and two connections in another metro. Connections that are in the same metro must be placed in different edge availability domains (metro availability zones) to achieve 99.99% availability. Placing Dedicated Interconnect connections in two separate edge availability domains within the same metro is important because maintenance windows are coordinated across edge availability domains within a metro, while maintenance windows are not coordinated across metros.
https://cloud.google.com/network-connectivity/docs/interconnect/tutorials/dedicated-creating-9999-availability
NEW QUESTION # 254
You are designing a Google Kubernetes Engine (GKE) cluster for a rapidly scaling microservices application. The application will have thousands of pods and hundreds of services. The application requires internal pod-to-pod communication and exposure of services internally. You want to follow Google's recommended approach to ensure efficient IP address utilization within your existing Virtual Private Cloud (VPC) subnet while leveraging Google Cloud's native networking capabilities. What should you do?
Answer: C
Explanation:
Google's recommended model is a VPC-native GKE cluster. In this design, node IPs come from the subnet's primary range, while Pods and Services use separate secondary IP ranges implemented with alias IPs. This provides efficient IP address utilization and uses Google Cloud's native networking model for large-scale Pod and Service networking.
NEW QUESTION # 255
(You are developing an internet of things (IoT) application that captures sensor data from multiple devices that have already been set up. You need to identify the global data storage product your company should use to store this data. You must ensure that the storage solution you choose meets your requirements of sub- millisecond latency. What should you do?)
Answer: D
Explanation:
Comprehensive and Detailed In Depth Explanation:
Let's evaluate each option based on the requirement of sub-millisecond latency for globally stored IoT data:
A). Spanner with Caching: While Spanner offers strong consistency and global scalability, the base latency might not consistently be sub-millisecond for all read/write operations globally. Introducing caching adds complexity and doesn't guarantee sub-millisecond latency for all initial reads or cache misses.
B). Bigtable: Bigtable is a highly scalable NoSQL database service designed for low-latency, high-throughput workloads. It excels at storing and retrieving large volumes of time-series data, which is typical for IoT sensor data. Its architecture is optimized for single-key lookups and scans, providing consistent sub-millisecond latency, making it a strong candidate for this use case.
C). BigQuery: BigQuery is a fully managed, serverless data warehouse designed for analytical queries on large datasets. While it's excellent for analyzing IoT data in batch, it's not optimized for the low-latency, high- throughput ingestion and retrieval required for real-time IoT applications with sub-millisecond latency needs.
D). Cloud Storage with Cloud CDN: Cloud Storage is object storage and is not designed for low-latency transactional workloads. Cloud CDN is a content delivery network that caches content closer to users for faster delivery, but it's not suitable for the primary storage of rapidly incoming IoT sensor data requiring sub- millisecond write latency.
Google Cloud Documentation References:
Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This document highlights Bigtable's suitability for low-latency and high-throughput applications, including IoT. It mentions its ability to handle massive amounts of data with consistent performance.
Spanner Overview: https://cloud.google.com/spanner/docs/overview - While Spanner offers low latency, Bigtable is generally preferred for extremely high-throughput, low-latency use cases like raw sensor data ingestion due to its optimized architecture for such workloads.
BigQuery Overview: https://cloud.google.com/bigquery/docs/introduction - This emphasizes BigQuery's analytical capabilities rather than low-latency operational workloads.
Cloud Storage Overview: https://cloud.google.com/storage/docs/overview - This describes Cloud Storage as object storage, not ideal for sub-millisecond latency reads and writes required for real-time IoT data.
NEW QUESTION # 256
You are developing an HTTP API hosted on a Compute Engine virtual machine instance that must be invoked only by multiple clients within the same Virtual Private Cloud (VPC). You want clients to be able to get the IP address of the service. What should you do?
Answer: C
NEW QUESTION # 257
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