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Google Certified Professional - Cloud Developer

Last Update 19 hours ago Total Questions : 265

The Google Certified Professional - Cloud Developer content is now fully updated, with all current exam questions added 19 hours ago. Deciding to include Professional-Cloud-Developer practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our Professional-Cloud-Developer exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Professional-Cloud-Developer sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Certified Professional - Cloud Developer practice test comfortably within the allotted time.

Question # 4

You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version.

Which deployment strategy should you use?

A.

Blue/green deployment

B.

Canary deployment

C.

Rolling deployment

D.

Recreate deployment

Question # 5

You have an application written in Python running in production on Cloud Run. Your application needs to read/write data stored in a Cloud Storage bucket in the same project. You want to grant access to your application following the principle of least privilege. What should you do?

A.

Create a user-managed service account with a custom Identity and Access Management (IAM) role.

B.

Create a user-managed service account with the Storage Admin Identity and Access Management (IAM) role.

C.

Create a user-managed service account with the Project Editor Identity and Access Management (IAM) role.

D.

Use the default service account linked to the Cloud Run revision in production.

Question # 6

You are a developer at a financial institution You use Cloud Shell to interact with Google Cloud services. User data is currently stored on an ephemeral disk however a recently passed regulation mandates that you can no longer store sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data You want to minimize code changes Where should you store your user data'?

A.

Store user data on a Cloud Shell home disk and log in at least every 120 days to prevent its deletion

B.

Store user data on a persistent disk in a Compute Engine instance

C.

Store user data m BigQuery tables

D.

Store user data in a Cloud Storage bucket

Question # 7

You have an HTTP Cloud Function that is called via POST. Each submission’s request body has a flat, unnested JSON structure containing numeric and text data. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?

A.

Directly persist each POST request’s JSON data into Datastore.

B.

Transform the POST request’s JSON data, and stream it into BigQuery.

C.

Transform the POST request’s JSON data, and store it in a regional Cloud SQL cluster.

D.

Persist each POST request’s JSON data as an individual file within Cloud Storage, with the file name containing the request identifier.

Question # 8

You are developing a flower ordering application Currently you have three microservices.

• Order Service (receives the orders).

• Order Fulfillment Service (processes the orders).

• Notification Service (notifies the customer when the order is filled).

You need to determine how the services will communicate with each other. You want incoming orders to be processed quickly and you need to collect order information for fulfillment. You also want to make sure orders are not lost between your services and are able to communicate asynchronously. How should the requests be processed?

A.

B.

C.

D.

Question # 9

You are developing an application that consists of several microservices running in a Google Kubernetes Engine cluster. One microservice needs to connect to a third-party database running on-premises. You need to store credentials to the database and ensure that these credentials can be rotated while following security best practices. What should you do?

A.

Store the credentials in a sidecar container proxy, and use it to connect to the third-party database.

B.

Configure a service mesh to allow or restrict traffic from the Pods in your microservice to the database.

C.

Store the credentials in an encrypted volume mount, and associate a Persistent Volume Claim with the client Pod.

D.

Store the credentials as a Kubernetes Secret, and use the Cloud Key Management Service plugin to handle encryption and decryption.

Question # 10

You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.

What should you do?

A.

Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Verify the provided JSON Web Token within the application.

B.

Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Issue client-side certificates to everybody in the finance team and verify the certificates in the application.

C.

Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Verify the provided JSON Web Token within the application.

D.

Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Issue client side certificates to everybody in the finance team and verify the certificates in the application.

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