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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Build and test applications	- Manage development environments 1. Perform application testing 2. Implement CI/CD pipelines 3. Build application artifacts
Topic 2: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Configure logging and tracing 2. Optimize application performance 3. Analyze metrics and alerts
Topic 3: 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
Topic 4: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design secure applications 2. Choose storage options for application data 3. Design resilient and scalable application architectures
Topic 5: Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Integrate with Google Cloud APIs 2. Implement authentication and authorization 3. Use messaging and event-driven services

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Google Certified Professional - Cloud Developer Sample Questions (Q352-Q357):

NEW QUESTION # 352
You are using Cloud Build to build and test application source code stored in Cloud Source Repositories. The build process requires a build tool not available in the Cloud Build environment.
What should you do?

A. Build a custom cloud builder image and reference the image in your build steps.
B. Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.
C. Ask to have the binary added to the Cloud Build environment by filing a feature request against the Cloud
D. Download the binary from the internet during the build process.

Answer: A

Explanation:
Build public Issue Tracker.

NEW QUESTION # 353
Which service should HipLocal use to enable access to internal apps?

A. Cloud VPN
B. Cloud Armor
C. Cloud Identity-Aware Proxy
D. Virtual Private Cloud

Answer: C

Explanation:
Reference: https://cloud.google.com/iap/docs/cloud-iap-for-on-prem-apps-overview

NEW QUESTION # 354
Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:
* Each customer phone call is associated with a unique IVR session.
* The IVR system creates a separate persistent gRPC connection to the backend for each session.
* If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.
You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:
* Call duration ranges from 1 to 30 minutes.
* Calls are typically made during business hours.
* There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.
You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

A. Google Kubernetes Engine cluster in Standard mode
B. Cloud Run
C. Cloud Functions
D. Compute Engine

Answer: B

Explanation:
This page shows Cloud Run-specific details for developers who want to use gRPC to connect a Cloud Run service with other services, for example, to provide simple, high performance communication between internal microservices. You can use all gRPC types, streaming or unary, with Cloud Run.
Possible use cases include:
Communication between internal microservices.
High loads of data (gRPC uses protocol buffers, which are up to seven times faster than REST calls).
Only a simple service definition is needed, you don't want to write a full client library.
Use streaming gRPCs in your gRPC server to build more responsive applications and APIs.
https://cloud.google.com/run/docs/tutorials/secure-services#:~:text=The%20backend%20service%20is%20private,Google%20Cloud%20except%20where%20necessary.

NEW QUESTION # 355
You want to use the Stackdriver Logging Agent to send an application's log file to Stackdriver from a Compute Engine virtual machine instance.
After installing the Stackdriver Logging Agent, what should you do first?

A. Configure the application log file as a custom source.
B. Create a Stackdriver Logs Export Sink with a filter that matches the application's log entries.
C. Grant the instance full access to all Cloud APIs.
D. Enable the Error Reporting API on the project.

Answer: C

NEW QUESTION # 356
Your application is composed of a set of loosely coupled services orchestrated by code executed on Compute Engine. You want your application to easily bring up new Compute Engine instances that find and use a specific version of a service. How should this be configured?

A. Define your service endpoint information to be retrieved from an environment variable at runtime and used to connect to the desired service.
B. Define your service to use a fixed hostname and port to connect to the desired service. Replace the service at the endpoint with your new version.
C. Define your service endpoint information as label data that is retrieved at runtime and used to connect to the desired service.
D. Define your service endpoint information as metadata that is retrieved at runtime and used to connect to the desired service.

Answer: D

Explanation:
https://cloud.google.com/service-infrastructure/docs/service-metadata/reference/rest#service-endpoint

NEW QUESTION # 357
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