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To obtain the Google Professional-Cloud-Developer certification, applicants are required to pass a rigorous exam that covers a broad range of topics, including Google Cloud Platform architecture, application development, storage, security, and deployment. Professional-Cloud-Developer exam is composed of multiple-choice questions and simulations, and it is designed to test the practical knowledge and experience of the developer. Passing the exam requires a comprehensive understanding of Google Cloud technologies and the ability to apply this knowledge to real-world scenarios. Successful candidates receive a Google Certified Professional - Cloud Developer certification, which is recognized globally as a symbol of expertise and proficiency in cloud development.

The Google Professional-Cloud-Developer Exam is intended for software developers who have experience in designing, developing, and deploying applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification exam covers a wide range of topics, including cloud computing concepts, Google Cloud Platform services, development tools and languages, application design and development, and best practices for deploying and managing applications on the cloud.

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Google Certified Professional - Cloud Developer Sample Questions (Q208-Q213):

NEW QUESTION # 208
You are configuring a continuous integration pipeline using Cloud Build to automate the deployment of new container images to Google Kubernetes Engine (GKE). The pipeline builds the application from its source code, runs unit and integration tests in separate steps, and pushes the container to Container Registry. The application runs on a Python web server.
The Dockerfile is as follows:
FROM python:3.7-alpine -
COPY . /app -
WORKDIR /app -
RUN pip install -r requirements.txt
CMD [ "gunicorn", "-w 4", "main:app" ]
You notice that Cloud Build runs are taking longer than expected to complete. You want to decrease the build time. What should you do? (Choose two.)

A. Select a virtual machine (VM) size with higher CPU for Cloud Build runs.
B. Change the base image in the Dockerfile to ubuntu:latest, and install Python 3.7 using a package manager utility.
C. Cache the Docker image for subsequent builds using the -- cache-from argument in your build config file.
D. Deploy a Container Registry on a Compute Engine VM in a VPC, and use it to store the final images.
E. Store application source code on Cloud Storage, and configure the pipeline to use gsutil to download the source code.

Answer: A,C

Explanation:
https://cloud.google.com/build/docs/optimize-builds/increase-vcpu-for-builds By default, Cloud Build runs your builds on a standard virtual machine (VM). In addition to the standard VM, Cloud Build provides several high-CPU VM types to run builds. To increase the speed of your build, select a machine with a higher vCPU to run builds. Keep in mind that although selecting a high vCPU machine increases your build speed, it may also increase the startup time of your build as Cloud Build only starts non-standard machines on demand.
https://cloud.google.com/build/docs/optimize-builds/speeding-up-builds#using_a_cached_docker_image The easiest way to increase the speed of your Docker image build is by specifying a cached image that can be used for subsequent builds. You can specify the cached image by adding the --cache-from argument in your build config file, which will instruct Docker to build using that image as a cache source.

NEW QUESTION # 209
Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B.
You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

A. Deploy the Pub/Sub and Cloud Run emulators on your local machine. Deploy the application locally, and change the logging level in the application to DEBUG or INFO. Write mock messages to topic A, and then analyze the logs.
B. Deploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/Sub topics. Write mock messages to topic A, and then analyze the logs.
C. Use the Google Cloud console to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
D. Use the gcloud CLI to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

Answer: A

NEW QUESTION # 210
You developed a JavaScript web application that needs to access Google Drive's API and obtain permission from users to store files in their Google Drives. You need to select an authorization approach for your application. What should you do?

A. Create an API key.
B. Create a service account.
C. Create an OAuth Client ID.
D. Create a SAML token.

Answer: C

Explanation:
Reference: https://developers.google.com/drive/api/v3/about-auth

NEW QUESTION # 211
Which service should HipLocal use to enable access to internal apps?

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

Answer: D

NEW QUESTION # 212
In order to meet their business requirements, how should HipLocal store their application state?

A. Move the state storage to Cloud Spanner.
B. Use local SSDs to store state.
C. Put a memcache layer in front of MySQL.
D. Replace the MySQL instance with Cloud SQL.

Answer: C

NEW QUESTION # 213
......

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Free PDF Authoritative Google - Professional-Cloud-Developer - New Soft Google Certified Professional - Cloud Developer Simulations

Easiest and Quick Way to Crack Google Professional-Cloud-Developer Exam

Google Certified Professional - Cloud Developer Sample Questions (Q208-Q213):

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