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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Deploy applications	- Deploy applications to Google Cloud 1. Manage application rollout strategies 2. Deploy applications to Google Kubernetes Engine 3. Deploy applications using Cloud Run
Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Perform application testing 3. Build application artifacts
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Integrate with Google Cloud APIs 2. Use messaging and event-driven services 3. Implement authentication and authorization
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Configure logging and tracing 2. Analyze metrics and alerts 3. Optimize application performance
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design secure applications 2. Design resilient and scalable application architectures 3. Choose storage options for application data

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Google Certified Professional - Cloud Developer Sample Questions (Q91-Q96):

NEW QUESTION # 91
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

A. Perform strong reads using single-read methods.
B. Perform Read-Only transactions.
C. Perform stale reads using single-read methods.
D. Perform stale reads using read-write transactions.

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database

NEW QUESTION # 92
You manage an application that runs in a Compute Engine instance. You also have multiple backend services executing in stand-alone Docker containers running in Compute Engine instances. The Compute Engine instances supporting the backend services are scaled by managed instance groups in multiple regions. You want your calling application to be loosely coupled. You need to be able to invoke distinct service implementations that are chosen based on the value of an HTTP header found in the request. Which Google Cloud feature should you use to invoke the backend services?

A. Traffic Director
B. Anthos Service Mesh
C. Internal HTTP(S) Load Balancing
D. Service Directory

Answer: A

Explanation:
https://cloud.google.com/traffic-director/docs/overview#traffic_management Advanced traffic management, including routing and request manipulation (based on hostname, path, headers, cookies, and more), enables you to determine how traffic flows between your services. You can also apply actions like retries, redirects, and weight-based traffic splitting for canary deployments. Advanced patterns like fault injection, traffic mirroring, and outlier detection enable DevOps use cases that improve your resiliency.

NEW QUESTION # 93
You are evaluating developer tools to help drive Google Kubernetes Engine adoption and integration with your development environment, which includes VS Code and IntelliJ. What should you do?

A. Use a Cloud Notebook instance to ingest and process data and deploy models.
B. Use Cloud Code to develop applications.
C. Use the Cloud Shell integrated Code Editor to edit code and configuration files.
D. Use Cloud Shell to manage your infrastructure and applications from the command line.

Answer: B

Explanation:
Reference: https://cloud.google.com/code

NEW QUESTION # 94
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible. What should you do?

A. Generate a P12 file from the GCP Console after the instance is deployed, and copy the credentials to the host instance before starting the application.
B. Use HTTP signed URLs to securely provide access to the required resources.
C. Commit the credential JSON file into your application's source repository, and have your CI/CD process package it with the software that is deployed to the instance.
D. Use the instance's service account Application Default Credentials to authenticate to the required resources.

Answer: D

NEW QUESTION # 95
You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud.
The code needs to be containerized and use several custom software libraries that your team has built. You do not want to maintain the underlying infrastructure of the application How should you deploy the microservice?

A. Use Cloud Functions to deploy the microservice.
B. Use Cloud Build to create the container, and deploy it on Cloud Run.
C. Use Cloud Shell to containerize your microservice. and deploy it on GKE Standard.
D. Use Cloud Shell to containerize your microservice. and deploy it on a Container-Optimized OS Compute Engine instance.

Answer: B

NEW QUESTION # 96
......

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