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Professional-Cloud-Developer Practice Questions

Google Certified Professional - Cloud Developer

Last Update 3 days ago
Total Questions : 265

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Question # 31

HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.

Which two services should they choose? (Choose two.)

Options:

A.  

Use Google App Engine services.

B.  

Use serverless Google Cloud Functions.

C.  

Use Knative to build and deploy serverless applications.

D.  

Use Google Kubernetes Engine for automated deployments.

E.  

Use a large Google Compute Engine cluster for deployments.

Discussion 0
Question # 32

In order to meet their business requirements, how should HipLocal store their application state?

Options:

A.  

Use local SSDs to store state.

B.  

Put a memcache layer in front of MySQL.

C.  

Move the state storage to Cloud Spanner.

D.  

Replace the MySQL instance with Cloud SQL.

Discussion 0
Question # 33

You are using Cloud Run to host a web application. You need to securely obtain the application project ID and region where the application is running and display this information to users. You want to use the most performant approach. What should you do?

Options:

A.  

Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.

B.  

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Navigate to the Cloud Run “Variables & Secrets” tab, and add the desired environment variables in Key:Value format.

C.  

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Write the application configuration information to Cloud Run's in-memory container filesystem.

D.  

Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.

Discussion 0
Question # 34

You are creating and running containers across different projects in Google Cloud. The application you are developing needs to access Google Cloud services from within Google Kubernetes Engine (GKE).

What should you do?

Options:

A.  

Assign a Google service account to the GKE nodes.

B.  

Use a Google service account to run the Pod with Workload Identity.

C.  

Store the Google service account credentials as a Kubernetes Secret.

D.  

Use a Google service account with GKE role-based access control (RBAC).

Discussion 0
Question # 35

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?

Options:

A.  

B.  

C.  

D.  

Discussion 0
Question # 36

You recently developed an application. You need to call the Cloud Storage API from a Compute Engine instance that doesn’t have a public IP address. What should you do?

Options:

A.  

Use Carrier Peering

B.  

Use VPC Network Peering

C.  

Use Shared VPC networks

D.  

Use Private Google Access

Discussion 0
Question # 37

You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

Options:

A.  

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.

B.  

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.

C.  

Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

D.  

Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.

Discussion 0
Question # 38

You work at a rapidly growing financial technology startup. You manage the payment processing application written in Go and hosted on Cloud Run in the Singapore region (asia-southeast1). The payment processing application processes data stored in a Cloud Storage bucket that is also located in the Singapore region.

The startup plans to expand further into the Asia Pacific region. You plan to deploy the Payment Gateway in Jakarta, Hong Kong, and Taiwan over the next six months. Each location has data residency requirements that require customer data to reside in the country where the transaction was made. You want to minimize the cost of these deployments. What should you do?

Options:

A.  

Create a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region.

B.  

Create a Cloud Storage bucket in each region, and create three Cloud Run services of the payment processing application in the Singapore region.

C.  

Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run services of the payment processing application in the Singapore region.

D.  

Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run revisions of the payment processing application in the Singapore region.

Discussion 0
Question # 39

You need to deploy an internet-facing microservices application to Google Kubernetes Engine (GKE). You want to validate new features using the A/B testing method. You have the following requirements for deploying new container image releases

• There is no downtime when new container images are deployed.

• New production releases are tested and verified using a subset of production users.

What should you do?

Options:

A.  

1 Configure your Cl/CD pipeline to update the Deployment manifest file by replacing the container version with the latest version.

2 Recreate the Pods in your cluster by applying the Deployment manifest file.

3 Validate the application's performance by comparing its functionality with the previous release version and roll back if an issue arises.

B.  

1 install the Anthos Service Mesh on your GKE cluster.

2 Create two Deployments on the GKE cluster and label them with different version names.

3 Create a VirtualService with a routing rule to send a small percentage of traffic to the Deployment that references the new version of the application.

C.  

1 Create a second namespace on GKE for the new release version.

2 Create a Deployment configuration for the second namespace with the desired number of Pods.

3 Deploy new container versions in the second namespace.

4 Update the ingress configuration to route traffic to the namespace with the new container versions.

D.  

1. Implement a rolling update pattern by replacing the Pods gradually with the new release versify.

2 Validate the application's performance for the new subset of users during the rollout and roll back if an issue arises.

Discussion 0
Question # 40

Your company has deployed a new API to App Engine Standard environment. During testing, the API is not behaving as expected. You want to monitor the application over time to diagnose the problem within the application code without redeploying the application.

Which tool should you use?

Options:

A.  

Stackdriver Trace

B.  

Stackdriver Monitoring

C.  

Stackdriver Debug Snapshots

D.  

Stackdriver Debug Logpoints

Discussion 0
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