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Google Professional-Cloud-Network-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing, monitoring, and troubleshooting network operations12%- Troubleshooting connectivity
  • 1. VPN/Interconnect issues, BGP errors
  • 2. Load balancer and packet loss diagnosis
- Monitoring and logging
  • 1. Network Intelligence Center
  • 2. VPC Flow Logs, Firewall Insights
  • 3. Cloud Logging, Cloud Monitoring
Topic 2: Implementing a VPC network20%- VPC connectivity
  • 1. VPC Peering, Shared VPC setup
  • 2. Dynamic and static routing
- Configuring VPC resources
  • 1. Networks, subnets, firewall rules/policies
  • 2. Private Google Access, service accounts
- Hierarchical firewalls and security policies
  • 1. Cloud Next Generation Firewall
- Network Connectivity Center
  • 1. Spoke and hub configuration
Topic 3: Configuring cloud network security solutions12%- Cloud Armor
  • 1. Security policies, WAF rules, DDoS protection
- Secure Web Proxy
  • 1. URL filtering, access control
- VPC Service Controls
  • 1. Service perimeters, access levels
Topic 4: Designing and planning a Google Cloud VPC network26%- Designing hybrid and multi-cloud networks
  • 1. Cloud Interconnect / Cloud VPN architecture
  • 2. Cloud Router and BGP design
- Designing overall network architecture
  • 1. Network tiers (Premium/Standard)
  • 2. DNS topology design
  • 3. High availability, disaster recovery, scalability
- Designing for GKE networking
  • 1. Alias IP ranges, private control plane
- Designing VPC networks
  • 1. Subnet design and CIDR planning
  • 2. Standalone vs Shared VPC
  • 3. Private Service Access / Private Service Connect
  • 4. IP address management
Topic 5: Configuring hybrid and multi-cloud connectivity14%- Cloud Router
  • 1. BGP configuration, route advertisement
- Cloud Interconnect
  • 1. Dedicated, Partner Interconnect, VLAN attachments
- Cloud VPN
  • 1. Site-to-site, HA VPN, policy-based/route-based
Topic 6: Configuring managed network services16%- Cloud CDN
  • 1. Caching rules, origin configuration
- Load balancing
  • 1. Backend services, NEGs, health checks
  • 2. Internal/external, regional/global types
- Cloud NAT
  • 1. Address allocation, port management
- Cloud DNS
  • 1. Public/private zones, forwarding, peering
  • 2. DNSSEC, logging

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Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q187-Q192):

NEW QUESTION # 187
Your organization recently created a sandbox environment for a new cloud deployment. To have parity with the production environment, a pair of Compute Engine instances with multiple network interfaces (NICs) were deployed. These Compute Engine instances have a NIC in the Untrusted VPC (10.0.0.0/23) and a NIC in the Trusted VPC (10.128.0.0/9). A HA VPN tunnel has been established to the on-premises environment from the Untrusted VPC. Through this pair of VPN tunnels, the on-premises environment receives the route advertisements for the Untrusted and Trusted VPCs. In return, the on-premises environment advertises a number of CIDR ranges to the Untrusted VPC. However, when you tried to access one of the test services from the on-premises environment to the Trusted VPC, you received no response. You need to configure a highly available solution to enable the on-premises users to connect to the services in the Trusted VPC. What should you do?

Answer: D

Explanation:
The solution requires creating internal passthrough load balancers for both VPCs, with custom static routes pointing to each load balancer. This ensures connectivity between the on-premises environment and the Trusted VPC via the Untrusted VPC.


NEW QUESTION # 188
Your company's security team tends to use managed services when possible. You need to build a dashboard to show the number of deny hits that occur against configured firewall rules without increasing operational overhead. What should you do?

Answer: A

Explanation:
https://cloud.google.com/network-intelligence-center/docs/firewall-insights/concepts/overview


NEW QUESTION # 189
You want to implement an IPSec tunnel between your on-premises network and a VPC via Cloud VPN. You need to restrict reachability over the tunnel to specific local subnets, and you do not have a device capable of speaking Border Gateway Protocol (BGP).
Which routing option should you choose?

Answer: B

Explanation:
https://cloud.google.com/network-connectivity/docs/vpn/concepts/choosing-networks-routing#ts-tun-routing


NEW QUESTION # 190
You correctly configured Cloud DNS forwarding zones to point towards your on-premises DNS.
You noticed that you cannot query your on-premises Active Directory main Domain Controller by using "dig ad.company.int" over your interconnect attachment. However, the query is successful if you directly target your on-premises DNS server by using "dig @10.10.10.53 ad.company.int".
You need to correctly configure Cloud DNS so VMs and other resources can correctly resolve DNS records in your on-premises DNS system. What should you do?

Answer: C

Explanation:
When Cloud DNS forwarding is used, the forwarded queries originate from Google-managed Cloud DNS resolver source IP ranges, not from the VM's IP. Your on-premises environment must be able to route return traffic to those resolver source ranges and allow them through firewalls on TCP/UDP 53. Once the Cloud DNS source range is reachable and permitted, VMs can resolve on-premises records via the default metadata DNS.


NEW QUESTION # 191
(You need to migrate multiple PostgreSQL databases from your on-premises data center to Google Cloud.
You want to significantly improve the performance of your databases while minimizing changes to your data schema and application code. You expect to exceed 150 TB of data per geographical region. You want to follow Google-recommended practices and minimize your operational costs. What should you do?)

Answer: A

Explanation:
Comprehensive and Detailed In Depth Explanation:
Let's analyze each option based on the requirements: PostgreSQL compatibility, significant performance improvement, minimal schema/code changes, handling large data volumes, Google-recommended practices, and cost minimization:
A). Migrate your data to AlloyDB: AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service that offers significant performance improvements over standard PostgreSQL due to its architectural optimizations. It is designed to handle large data volumes and minimizes the need for schema and application code changes as it's wire-compatible with PostgreSQL. This aligns well with the requirements for performance improvement, minimal changes, large data, and being a Google-recommended option for PostgreSQL workloads.
B). Migrate your data to Spanner: Spanner is a globally distributed, horizontally scalable database with strong consistency. While it offers excellent scalability and performance, it's not directly PostgreSQL-compatible.
Migrating to Spanner would likely require significant schema and application code changes due to differences in data modeling and SQL dialect.
C). Migrate your data to Firebase: Firebase is a suite of mobile and web development tools, with its primary database offering being Firestore (a NoSQL document database) and Realtime Database. These are not PostgreSQL-compatible and would require substantial changes to the data model and application code.
D). Migrate your data to Bigtable: Bigtable is a highly scalable NoSQL wide-column store. It's not compatible with PostgreSQL and requires a completely different data model and application logic.
Therefore, AlloyDB is the most suitable option as it provides PostgreSQL compatibility for minimal migration effort, significant performance improvements, scalability for large data volumes, and is a recommended Google Cloud database service for PostgreSQL workloads.
Google Cloud Documentation References:
AlloyDB for PostgreSQL Overview: https://cloud.google.com/alloydb/docs/overview - This document highlights AlloyDB's PostgreSQL compatibility, performance benefits, scalability, and suitability for migrating existing PostgreSQL workloads.
Spanner Overview: https://cloud.google.com/spanner/docs/overview - This emphasizes Spanner's unique features and differences from traditional relational databases like PostgreSQL.
Firebase Documentation: https://firebase.google.com/docs - This outlines the features of Firebase, including Firestore and Realtime Database, highlighting their NoSQL nature and incompatibility with PostgreSQL.
Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This describes Bigtable as a NoSQL database, emphasizing its differences from relational databases like PostgreSQL.


NEW QUESTION # 192
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