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NEW QUESTION # 84
You have an application that is running in a managed instance group. Your development team has released an updated instance template which contains a new feature which was not heavily tested. You want to minimize impact to users if there is a bug in the new template.
How should you update your instances?
Answer: C
Explanation:
https://cloud.google.com/compute/docs/instance-groups/creating-groups-of-managed-instances
NEW QUESTION # 85
Your developer group works on a set of VM's frequently throughout the day. To save costs, you terminate the VM when it is not in use. However, you need to preserve the contents of the disk when the VM is terminated so users can resume where they left off when a new one is created.
What is the most cost-effective way to do? (Choose two)
Answer: A,D
Explanation:
A (Correct Answer) - Set the disk to no-auto-delete to preserve contents. Setting your instance to not delete the root disk when deleting the instance will preserve the disk contents to attach to a new instance.
C (Correct Answer) - When not in use, only stop the instance instead of deleting it. Alternatively, you can merely stop the instance instead of deleting it, during which time you will not be billed for Machine Type usage (just disk storage).
B and D may work but are not suitable solutions since the VMs may need frequently stop and resume throughout the day.
More Information:
https://cloud.google.com/sdk/gcloud/reference/compute/instances/set-disk-auto-delete
NEW QUESTION # 86
You are implementing firewall controls to protect your compute resources in a newly created VPC. To make the protection process easier to manage and control, you've defined the hierarchical firewall policies, global network firewall policies, and VPC firewall rules. The configuration of rules defines the following characteristics:
- The hierarchical firewall policy, bound at the organization level, is allowing/denying specific external traffic.
- There is a global network firewall policy with rules that enforce
intrusion prevention system (IPS) capabilities for specific external
inbound/outbound traffic.
- The VPC firewall rules allow internal communication from RFC 1918
defined subnets communications.
- The VPC firewall contains an explicit deny rule with logs enabled.
This configuration was successful in multiple preexisting VPCs. However, you noticed that the logs were missing when you were reviewing a newly created VPC. All external communications are hanging, but internal traffic is working as expected. You want to fix the connectivity issue.
What should you do?
Answer: D
Explanation:
Firewall policies and rules in Google Cloud are evaluated in a specific order, and misconfiguration in their evaluation order can cause unexpected behavior, such as blocking or allowing unintended traffic.
Hierarchical firewall policies (bound at the organization or folder level) are evaluated before global network firewall policies and VPC firewall rules. In this case, it appears that the hierarchical firewall policy or global firewall policy is denying traffic before the VPC firewall rules are even evaluated, which is why all external communications are failing, and logs for the explicit deny rule in the VPC firewall are missing.
To fix this issue, you need to ensure the correct evaluation order of policies and rules:
1. Hierarchical firewall policies are evaluated first.
2. Global network firewall policies are evaluated next.
3. VPC firewall rules are evaluated last.
Switching the order to ensure the correct hierarchy resolves the issue while maintaining the existing configuration.
NEW QUESTION # 87
Question:
Your organization has approximately 100 teams that need to manage their own environments. A central team must manage the network. You need to design a landing zone that provides separate projects for each team and ensure the solution can scale. What should you do?
Answer: A
Explanation:
Using a Shared VPC enables centralized network management and efficient resource access by service projects. This scalable setup supports isolated environments for each team while allowing the network team to manage network policies and resources in a host project.
Reference: Google Cloud - Shared VPC Overview
NEW QUESTION # 88
(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: B,C,D
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 # 89
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