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Google Professional-Cloud-DevOps-Engineer exam is a certification offered by Google Cloud that focuses on validating the skills and knowledge of professionals in the field of cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for individuals who have a strong understanding of cloud-based infrastructure, continuous integration and delivery, automation, and collaboration. Professional-Cloud-DevOps-Engineer Exam is designed to assess a candidate’s ability to design, implement, and manage DevOps workflows on Google Cloud.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
You recently configured an App Hub application. You are able to see the managed instance group, backend service, and URL map listed in App Hub, but you do not see the forwarding rule. You must ensure that the forwarding rule is listed. What should you do?

Answer: A


NEW QUESTION # 74
You are running a web application that connects to an AlloyDB cluster by using a private IP address in your default VPC. You need to run a database schema migration in your CI/CD pipeline by using Cloud Build before deploying a new version of your application. You want to follow Google-recommended security practices. What should you do?

Answer: D

Explanation:
To securely connect Cloud Build to an AlloyDB cluster using a private IP address and adhere to Google- recommended security practices, you need to address two main aspects:
Network Connectivity:Ensuring Cloud Build can reach the private IP of the AlloyDB cluster.
Authentication/Credential Management:Securely authenticating Cloud Build to the AlloyDB cluster.
Let's break down why Option B is the most suitable:
Cloud Build Private Pool:AlloyDB is accessed via a private IP in your VPC. Cloud Build's default build environment runs on Google-managed infrastructure outside your VPC and cannot directly access private IP addresses. To enable this, you must use aCloud Build private pool. A private pool can be configured with VPC peering to your default VPC, allowing build steps running within that pool to access resources like your AlloyDB cluster via their private IPs. Option B correctly includes "execute the schema migration script in a private pool." Service Account with Permissions (IAM Database Authentication):AlloyDB supports IAM database authentication. This is a Google-recommended security practice because it allows you to manage database access using Google Cloud's Identity and Access Management (IAM) rather than relying on traditional database passwords.
You would create a dedicated service account for Cloud Build (or use the private pool's service account).
This service account would be granted the necessary IAM roles to connect to the AlloyDB instance (e.g., roles
/alloydb.client) and a database-level IAM role for login (e.g., roles/alloydb.user or roles/alloydb.admin depending on the permissions needed for schema migration).
Cloud Build would then be configured to use this service account. The "permission to access the database" in Option B refers to these IAM permissions. This method avoids managing and distributing database passwords.
Analyzing the options:
A: Set up a Cloud Build private pool to access the database through a static external IP address...
While using a private pool is correct for network access, routing this through a staticexternalIP for a resource that has aprivateIP is generally not the first-choice secure pattern if direct private access is feasible. It adds complexity and a potential external exposure point, even if firewalled. The aim is to keep traffic within the private network as much as possible.
B: Create a service account that has permission to access the database. Configure Cloud Build to use this service account and execute the schema migration script in a private pool.
This option correctly combines the use of aprivate pool(for private IP network access) with aservice account having permissions(strongly implying IAM database authentication for AlloyDB, which is a best practice).
This is a secure and robust approach.
C: Add the database username and encrypted password to the application configuration file...
Storing credentials, even if "encrypted" (the method and key management for encryption are unspecified and problematic), in application configuration files checked into source control or packaged with the application is a significant security risk and not a recommended practice.
D: Add the database username and password to Secret Manager. When running the schema migration script, retrieve the username and password from Secret Manager.
UsingSecret Managerto store database usernames and passwords is a Google-recommended practiceifyou are using password-based authentication. However, this optionalonedoes not solve the network connectivity issue for Cloud Build to reach the private IP of AlloyDB. You would still need a private pool. While D is good for secret management, B offers a more comprehensive solution that includes both the network aspect and implies a more modern authentication method (IAM database auth). If the question forced a choice between only doing secure credential storage (D) or doing IAM auth + private networking (B), B is more complete for the overall task.
Conclusion:Option B is the most aligned with Google-recommended security practices as it addresses both the necessary private network connectivity via a Cloud Build private pool and promotes the use of IAM-based database authentication for AlloyDB, which is generally preferred over managing passwords.
References (General Concepts):
Cloud Build Private Pools for VPC Access:Google Cloud documentation for Cloud Build explicitly details using private pools to connect to resources in a VPC network.
See:https://www.google.com/search?q=https://cloud.google.com/build/docs/private-pools/accessing-private- resources-with-private-pools AlloyDB IAM Database Authentication:Google Cloud documentation for AlloyDB highlights IAM database authentication as a secure method.
See:https://www.google.com/search?q=https://cloud.google.com/alloydb/docs/iam-authentication Secret Manager:If password authentication were the only option, Secret Manager would be the recommended way to store those credentials.
See:https://cloud.google.com/secret-manager
Option B synergizes the benefits of private networking and modern IAM-based authentication for a comprehensive secure solution.


NEW QUESTION # 75
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

Answer: D


NEW QUESTION # 76
You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month.
You need to identify the metric and evaluation method to use. What should you do?

Answer: A

Explanation:
Explanation
The correct answer is A. Select a latency metric for a request-based method of evaluation.
A latency metric measures how responsive your service is to users. For example, you can use the cloud.googleapis.com/http/server/response_latencies metric to measure the latency of HTTP requests to your service1. A request-based method of evaluation counts the number of successful requests that meet a certain criterion, such as being below a latency threshold, and compares it to the number of all requests. For example, you can define an SLI as the ratio of requests with latency below 300 ms to all requests2. A request-based method of evaluation is suitable for measuring performance over time, such as per calendar month. You can set an SLO for the SLI to be at least 90%, which means that you expect 90% of the requests to have latency below 300 ms in a month3.


NEW QUESTION # 77
Your company's security team needs to have read-only access to Data Access audit logs in the _Required bucket You want to provide your security team with the necessary permissions following the principle of least privilege and Google-recommended practices. What should you do?

Answer: D

Explanation:
Explanation
The best option for providing your security team with the necessary permissions following the principle of least privilege and Google-recommended practices is to assign the roles/logging.privateLogViewer role to a group with all the security team members. The roles/logging.privateLogViewer role is a predefined role that grants read-only access to Data Access audit logs and other private logs in Cloud Logging. A group is a collection of users that can be assigned roles and permissions as a single unit. You can assign the roles/logging.privateLogViewer role to a group with all the security team members by using IAM policies.
This way, you can provide your security team with the minimum level of access they need to view Data Access audit logs in the _Required bucket.


NEW QUESTION # 78
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