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TestInsides provides the most up-to-date Google Certified Professional - Cloud Developer Professional-Cloud-Developer exam questions and practice material to assist you in preparing for the Google Professional-Cloud-Developer exam. Our Google Certified Professional - Cloud Developer Professional-Cloud-Developer exam questions preparation material helps countless people worldwide in becoming certified professionals. Our Google Certified Professional - Cloud Developer Professional-Cloud-Developer Exam Questions are available in three simple formats, allowing customers to select the most appropriate option according to their needs.

According to the current outline, the exam covers the skill areas listed below:

• Creating scalable, reliable, and highly available cloud-native apps
• Performing applications deployment
• Managing the monitoring of application performance
• Handling integration of Google Cloud Services
• Building as well as testing applications

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Professional-Cloud-Developer Actual Questions - Valid Professional-Cloud-Developer Test Topics

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Google Certified Professional - Cloud Developer Sample Questions (Q103-Q108):

NEW QUESTION # 103
HipLocal's.net-based auth service fails under intermittent load.
What should they do?

• A. Use App Engine for autoscaling.
• B. Use a Compute Engine cluster for the service.
• C. Use a dedicated Compute Engine virtual machine instance for the service.
• D. Use Cloud Functions for autoscaling.

Answer: C Explanation:
Reference: https://www.qwiklabs.com/focuses/611?parent=catalog
NEW QUESTION # 104
Technician Tommy is replacing a logic board on a Mac mini. Which of the following should he hold when handling the logic board?

• A. The heat sinks
• B. Any components
• C. The edges of the logic board
• D. The connectors

Answer: C Explanation:
Explanation/Reference: https://www.ifixit.com/Guide/Mac+mini+Late+2014+Logic+Board+Replacement/33077
NEW QUESTION # 105
You are developing a Java Web Server that needs to interact with Google Cloud services via the Google Cloud API on the user's behalf. Users should be able to authenticate to the Google Cloud API using their Google Cloud identities. Which workflow should you implement in your web application?

• A. 1) When a user arrives at your application, route them to a Google Cloud consent screen with a list of requested permissions that prompts the user to sign in with SSO to their Google Account.
  2) After the user signs in and provides consent, your application receives an authorization code from a Google server.
  3) The Google server returns the authorization code to the user, which is stored in the browser's cookies.
  4) The user authenticates to the Google Cloud API using the authorization code in the cookie.
• B. 1) When a user arrives at your application, route them to a Google Cloud consent screen with a list of requested permissions that prompts the user to sign in with SSO to their Google Account.
  2) After the user signs in and provides consent, your application receives an authorization code from a Google server.
  3) The application requests a Google Server to exchange the authorization code with an access token.
  4) The Google server responds with the access token that is used by the application to call the Google Cloud API.
• C. 1) When a user arrives at your application, prompt them for their Google username and password.
  2) Store an SHA password hash in your application's database along with the user's username.
  3) The application authenticates to the Google Cloud API using HTTPs requests with the user's username and password hash in the Authorization request header.
• D. 1) When a user arrives at your application, prompt them for their Google username and password.
  2) Forward the user's username and password in an HTTPS request to the Google Cloud authorization server, and request an access token.
  3) The Google server validates the user's credentials and returns an access token to the application.
  4) The application uses the access token to call the Google Cloud API.

Answer: B Explanation:
Explanation
https://developers.google.com/identity/protocols/oauth2#webserver
The Google OAuth 2.0 endpoint supports web server applications that use languages and frameworks such as PHP, Java, Python, Ruby, and ASP.NET. The authorization sequence begins when your application redirects a browser to a Google URL; the URL includes query parameters that indicate the type of access being requested.
Google handles the user authentication, session selection, and user consent. The result is an authorization code, which the application can exchange for an access token and a refresh token.
NEW QUESTION # 106
You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?

• A. Package each component in a separate container. Use a script to orchestrate the launch of the components.
• B. Package the application in a single container. Use a process management tool to manage each component.
• C. Package the application in a single container. Use a bash script as an entrypoint to the container, and then spawn each component as a background job.
• D. Package each component in a separate container. Implement readiness and liveness probes.

Answer: D Explanation:
https://cloud.google.com/blog/products/containers-kubernetes/7-best-practices-for-building-containers
https://cloud.google.com/architecture/best-practices-for-building-containers
"classic Apache/MySQL/PHP stack: you might be tempted to run all the components in a single container. However, the best practice is to use two or three different containers: one for Apache, one for MySQL, and potentially one for PHP if you are running PHP-FPM."
NEW QUESTION # 107
HipLocal's data science team wants to analyze user reviews.
How should they prepare the data?

• A. Use the Cloud Natural Language Processing API for de-identification of the review dataset.
• B. Use the Cloud Natural Language Processing API for redaction of the review dataset.
• C. Use the Cloud Data Loss Prevention API for redaction of the review dataset.
• D. Use the Cloud Data Loss Prevention API for de-identification of the review dataset.

Answer: D Explanation:
Explanation
https://cloud.google.com/dlp/docs/deidentify-sensitive-data
NEW QUESTION # 108
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