Cert Professional-Cloud-Developer Guide - Professional-Cloud-Developer Test Testking

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To obtain the Google Professional-Cloud-Developer certification, candidates must pass a rigorous exam that consists of multiple-choice and scenario-based questions. Professional-Cloud-Developer exam is designed to assess the candidate's ability to design, develop, and deploy cloud-based applications using Google Cloud Platform technologies. Google Certified Professional - Cloud Developer certification is valid for two years and can be renewed by passing the exam again or by earning a higher-level certification. Overall, the Google Professional-Cloud-Developer Certification is a valuable credential for cloud developers looking to advance their careers and demonstrate their expertise in working with the Google Cloud Platform.

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Incorporating Google Cloud Services

Integrate Cloud APIs with Apps: This domain comes with caching results, restricting return data, batching requests, paginating results, and error handling.
Incorporate Applications with Data & Storage Services: The considerations for this subsection include connecting to data stores, write/read data from/to different databases and write applications that consume/publish data asynchronously.
Integrate Applications with Compute Services: This part contains the measurement of the skills in implementing the service discovery in Compute Engine and GKE, authenticating utilizing Identity-Aware Proxy & OAuth2.0 Web Flow, and authenticating with Workload Identity to Cloud APIs.

Google Certified Professional - Cloud Developer Sample Questions (Q14-Q19):

NEW QUESTION # 14
You need to copy directory local-scripts and all of its contents from your local workstation to a Compute Engine virtual machine instance.
Which command should you use?
gsutil cp --project "my-gcp-project" -r ~/local-scripts/ gcp-instance-name:~/

A. instance-name:~/server-scripts/ --zone "us-east1-b"
gcloud compute mv --project "my-gcp-project" --recurse ~/local-scripts/ gcp-
B. server-scripts/ --zone "us-east1-b"
gsutil cp --project "my-gcp-project" -R ~/local-scripts/ gcp-instance-name:~/
C. instance-name:~/server-scripts/ --zone "us-east1-b"
D. server-scripts/ --zone "us-east1-b"
gcloud compute scp --project "my-gcp-project" --recurse ~/local-scripts/ gcp-

Answer: A

Explanation:
Explanation
Explanation/Reference: https://cloud.google.com/sdk/gcloud/reference/compute/copy-files

NEW QUESTION # 15
You made a typo in a low-level Linux configuration file that prevents your Compute Engine instance from booting to a normal run level. You just created the Compute Engine instance today and have done no other maintenance on it, other than tweaking files. How should you correct this error?

A. Configure and log in to the Compute Engine instance through the serial port, and change the file
B. Configure and log in to the Compute Engine instance through SSH, and change the file
C. Configure and log in to the Compute Engine instance using a remote desktop client, and change the file
D. Download the file using scp, change the file, and then upload the modified version

Answer: A

Explanation:
Explanation
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-using-serial-console

NEW QUESTION # 16
You are a developer at an ecommerce company. You are tasked with developing a globally consistent shopping cart for logged-in users across both mobile and desktop clients. You need to configure how the items that are added to users' carts are stored. How should you configure this cart service?

A. Store the carts in a separate Firestore document, and configure each user ID as the document's key.
B. Store the carts in a separate Memorystore for Redis instance, and configure each user's IP address as the key.
C. Create and store the carts in the shopping-cart HTTP cookie.
D. Insert the carts in a separate Spanner table, and configure each user's encrypted password as the primary key.

Answer: A

Explanation:
Firestore is a globally distributed, highly available NoSQL database that provides strong consistency and real-time synchronization across different clients. Using Firestore and configuring each user ID as the document key allows you to store each user's shopping cart data efficiently, ensuring that cart updates are instantly available across devices. This approach provides a scalable, globally consistent solution suitable for cross-platform applications like shopping carts.
- Memorystore for Redis is not ideal for a globally consistent cart, as Redis is primarily designed for fast, in-memory caching within a single region.
- Spanner could technically work, but using an encrypted password as a primary key is not a best practice; typically, a user ID is preferred.
- HTTP cookies are not suited for storing complex cart data or ensuring consistency across different devices and clients.

NEW QUESTION # 17
You manage your company's ecommerce platform's payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly. What should you do?

A. Store the logs in Cloud Logging as custom logs with a custom retention period.
B. Store the logs in a Cloud Storage bucket with bucket lock turned on.
C. Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.
D. Store the logs in a Cloud Storage bucket with a 3-year retention period.

Answer: A

Explanation:
https://cloud.google.com/logging/docs/buckets#custom-retention

NEW QUESTION # 18
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, 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.
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 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.
C. 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.
D. 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.

Answer: D

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 # 19
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