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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Professional Cloud Network Engineer |
| Exam Number: | Professional-Cloud-Network-Engineer |
| Real Exam Qty: | 50-60 |
| Available Languages: | English, Japanese |
| Related Certifications: | Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple Select, Multiple Choice |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Sample Questions: | Google Professional-Cloud-Network-Engineer Sample Questions |
| Exam Way: | Online-proctored or onsite-proctored at a testing center |
| Pre Condition: | No formal prerequisites. Google recommends 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-network-engineer |
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Google Professional-Cloud-Network-Engineer certification exam is designed to assess the candidate’s understanding and expertise in solving networking challenges using Google Cloud Platform. Passing this certification demonstrates that the individual has the ability to design, implement and manage networks leveraging Google Cloud Platform, and can provide solutions to complex networking problems. Professional-Cloud-Network-Engineer exam measures proficiency, hands-on experience, and the ability to apply concepts to real-world scenarios. To prepare for the exam, Google provides various study guides, documentation, and training materials to help professionals enhance their skills and knowledge.
Google Professional-Cloud-Network-Engineer Certification Exam is a challenging exam that requires a deep understanding of Google Cloud networking technologies. Candidates must have a strong foundation in networking concepts and be familiar with Google Cloud products and services. Professional-Cloud-Network-Engineer exam is designed to test the candidate’s ability to design and implement secure, scalable, and highly available network solutions on Google Cloud Platform. With this certification, professionals can demonstrate their expertise in network engineering and gain recognition for their skills in the industry.
NEW QUESTION # 186
You recently deployed Cloud VPN to connect your on-premises data canter to Google Cloud. You need to monitor the usage of this VPN and set up alerts in case traffic exceeds the maximum allowed. You need to be able to quickly decide whether to add extra links or move to a Dedicated Interconnect. What should you do?
Answer: C
Explanation:
https://cloud.google.com/network-connectivity/docs/vpn/how-to/viewing-logs-metrics To create alerting policies for the bytes per second (bps) and packets per second (pps) limits described in Network bandwidth, use Monitoring Query Language (MQL).
NEW QUESTION # 187
Your company runs its applications on Google Kubernetes Engine (GKE), and your team recently created a private Cloud DNS zone, corp.internal, to host records for internal services, such as a managed database at db.corp.internal. You verified that a Compute Engine VM in the same VPC as your GKE cluster can successfully resolve db.corp.internal. However, when you access a Pod inside your GKE cluster, you can resolve in-cluster services (for example, kubernetes.default.svc.cluster.local), but any attempt to resolve db.corp.internal fails.
Upon inspecting the coredns ConfigMap in the kube-system namespace, you discovered the default forward plugin has been modified to point directly to a public DNS provider's IP address, bypassing the node's local resolver. You need to enable Pods in the cluster to resolve records in the existing corp.internal private zone as well as other zones under .internal.
Answer: D
Explanation:
The failure is caused by CoreDNS forwarding queries directly to a public DNS provider instead of using the node's local resolver. In GKE, using the node resolver lets Pods reach the VPC DNS path that resolves private Cloud DNS zones. Changing the CoreDNS forward plugin back to
/etc/resolv.conf restores that behavior, so Pods can resolve corp.internal and other .internal names available through the VPC resolver. Cloud DNS for GKE is a separate DNS provider option, but the immediate issue here is the incorrect CoreDNS forwarding configuration.
Reference:
https://docs.cloud.google.com/kubernetes-engine/docs/concepts/about-cloud-dns
https://docs.cloud.google.com/kubernetes-engine/docs/troubleshooting/cloud-dns
NEW QUESTION # 188
Your organization has a subset of applications in multiple regions that require internet access. You need to control internet access from applications to URLs, including hostnames and paths. The compute instances that run these applications have an associated secure tag. What should you do?
Answer: A
Explanation:
To control internet access on a per-URL basis (including hostname and path), you should deploy Secure Web Proxy with global access enabled. The Secure Web Proxy will allow policy-based filtering of web traffic, allowing control over which URLs can be accessed based on the URL list defined in the policy. Unlike Cloud NAT, which does not support FQDN filtering, Secure Web Proxy is designed to provide such control, especially for scenarios with sensitive or controlled internet access requirements.
NEW QUESTION # 189
(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 # 190
Your company's logo is published as an image file across multiple websites that are hosted by your company. You have implemented Cloud CDN; however, you want to improve the performance of the cache hit ratio associated with this image file. What should you do?
Answer: B
Explanation:
https://cloud.google.com/cdn/docs/best-practices#cache-hit-ratio
NEW QUESTION # 191
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