PROFESSIONAL-CLOUD-DEVELOPER STUDY MATERIALS: GOOGLE CERTIFIED PROFESSIONAL - CLOUD DEVELOPER - PROFESSIONAL-CLOUD-DEVELOPER ACTUAL QUESTIONS & PROFESSIONAL-CLOUD-DEVELOPER QUIZ GUIDE

Professional-Cloud-Developer Study Materials: Google Certified Professional - Cloud Developer - Professional-Cloud-Developer Actual Questions & Professional-Cloud-Developer Quiz Guide

Professional-Cloud-Developer Study Materials: Google Certified Professional - Cloud Developer - Professional-Cloud-Developer Actual Questions & Professional-Cloud-Developer Quiz Guide

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Google Certified Professional - Cloud Developer Sample Questions (Q236-Q241):

NEW QUESTION # 236
This architectural diagram depicts a system that streams data from thousands of devices. You want to ingest data into a pipeline, store the data, and analyze the data using SQL statements. Which Google Cloud services should you use for steps 1, 2, 3, and 4?

  • A. 1) App Engine
    2) Pub/Sub
    3) BigQuery
    4) Firestore
  • B. 1) Pub/Sub
    2) Dataflow
    3) Firestore
    4) BigQuery
  • C. 1) Pub/Sub
    2) Dataflow
    3) BigQuery
    4) Firestore
  • D. 1) Dataflow
    2) Pub/Sub
    3) Firestore
    4) BigQuery

Answer: B


NEW QUESTION # 237
Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.
What should you do?

  • A. Deploy your application on Google Kubernetes Engine with Anthos Service Mesh. Use traffic splitting to direct a subset of user traffic to the new version based on the user-agent header.
  • B. Deploy your application on App Engine. Use traffic splitting to direct a subset of user traffic to the new version based on the IP address.
  • C. Deploy your application on Compute Engine. Use Traffic Director to direct a subset of user traffic to the new version based on predefined weights.
  • D. Deploy your application on Cloud Run. Use traffic splitting to direct a subset of user traffic to the new version based on the revision tag.

Answer: A


NEW QUESTION # 238
You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

  • A. 1) Download the service account's key file in JSON format, and store it locally on your laptop.
    2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.
  • B. 1) Run the following command from a command line: gcloud config set auth/impersonate_service_account service-account-name@project.iam.gserviceacccount.com.
    2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.
  • C. 1) Store the service account's key file in JSON format in Hashicorp Vault.
    2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.
  • D. 1) Run the following command from a command line: gcloud auth application-default login.
    2) In the browser window that opens, authenticate using your personal credentials.

Answer: C

Explanation:
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#file-system Whenever possible, avoid storing service account keys on a file system. If you can't avoid storing keys on disk, make sure to restrict access to the key file, configure file access auditing, and encrypt the underlying disk.
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#software-keystore In situations where using a hardware-based key store isn't viable, use a software-based key store to manage service account keys. Similar to hardware-based options, a software-based key store lets users or applications use service account keys without revealing the private key. Software-based key store solutions can help you control key access in a fine-grained manner and can also ensure that each key access is logged.


NEW QUESTION # 239
Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster. The service will need to scale as quickly as possible to respond to changing load. What should you do?

  • A. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
  • B. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
  • C. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
  • D. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/service


NEW QUESTION # 240
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?

  • A. Cloud Debugger snapshots
  • B. Cloud Debugger logpoints
  • C. Cloud Monitoring
  • D. Cloud Trace

Answer: B

Explanation:
https://cloud.google.com/debugger/docs/using/logpoints
Logpoints allow you to inject logging into running services without restarting or interfering with the normal function of the service


NEW QUESTION # 241
......

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