Google PROFESSIONAL-CLOUD-DEVELOPER Online Practice Questions and Exam Preparation

Google PROFESSIONAL-CLOUD-DEVELOPER Online Questions & Answers

• Question 301:

  You work for an ecommerce company. You are developing a new application with the following requirements:

  1. The application must have access to the most up-to-date data at all times.

  2. Due to company policy, data older than 30 days must be automatically deleted.

  You need to determine which service should host the database, and how to configure the data deletion. You want to use the most efficient solution.

  What should you do?

  A. Configure Spanner to host the database. Use Data Catalog to delete data older than 30 days.
  B. Configure Spanner to host the database. Create a time-to-live (TTL) policy that deletes data older than 30 days.
  C. Configure Bigtable to host the database. Create a time-to-live policy that deletes data older than 30 days.
  D. Configure Bigtable to host the database. Create a garbage collection policy in Bigtable that deletes data older than 30 days.
  D. Configure Bigtable to host the database. Create a garbage collection policy in Bigtable that deletes data older than 30 days.

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  Explanation

  Bigtable is a highly scalable, NoSQL database that supports efficient time-to-live (TTL) policies through garbage collection. By configuring a garbage collection policy, you can automatically delete data older than 30 days, ensuring compliance with the company's data retention policy without additional management overhead.

  Using Spanner would be less efficient for this use case, as it is a relational database designed for strong consistency, not for simple TTL-based data expiry. Bigtable's TTL feature with garbage collection is optimized for NoSQL data with automated, policy-driven deletions, making it the most efficient choice for your requirements.

• Question 302:

  You are trying to connect to your private GKE cluster using kubectl from Cloud Shell. You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:

  

  You notice that the kubectl commands time out without returning an error message.

  What is the most likely cause of this issue?

  A. Your user account does not have privileges to use kubectl to interact with the cluster.
  B. Your Cloud Shell external IP address is not included in the cluster's authorized networks.
  C. The Cloud Shell is not part of the same VPC as the GKE cluster.
  D. A VPC firewall is blocking access to the cluster's endpoint.
  B. Your Cloud Shell external IP address is not included in the cluster's authorized networks.

• Question 303:

  You plan to deploy a new Go application to Cloud Run. The source code is stored in Cloud Source Repositories. You need to configure a fully managed, automated, continuous deployment pipeline that runs when a source code commit is made. You want to use the simplest deployment solution. What should you do?

  A. Configure a cron job on your workstations to periodically run gcloud run deploy --source in the working directory.
  B. Configure a Jenkins trigger to run the container build and deploy process for each source code commit to Cloud Source Repositories.
  C. Configure continuous deployment of new revisions from a source repository for Cloud Run using buildpacks.
  D. Use Cloud Build with a trigger configured to run the container build and deploy process for each source code commit to Cloud Source Repositories.
  D. Use Cloud Build with a trigger configured to run the container build and deploy process for each source code commit to Cloud Source Repositories.

• Question 304:

  For this question refer to the HipLocal case study.

  HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas.

  How should they further reduce latency for all database interactions with the least amount of effort?

  A. Migrate the database to Bigtable and use it to serve all global user traffic.
  B. Migrate the database to Cloud Spanner and use it to serve all global user traffic.
  C. Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.
  D. Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.
  B. Migrate the database to Cloud Spanner and use it to serve all global user traffic.

• Question 305:

  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?

  A. Use Carrier Peering
  B. Use VPC Network Peering
  C. Use Shared VPC networks
  D. Use Private Google Access
  D. Use Private Google Access

• Question 306:

  You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Cloud Trace. You want to ensure that a specific request is always traced.

  What should you do?

  A. Wait 10 minutes, then verify that Cloud Trace captures those types of requests automatically.
  B. Write a custom script that sends this type of request repeatedly from your dev project.
  C. Use the Cloud Trace API to apply custom attributes to the trace.
  D. Add the X-Cloud-Trace-Context header to the request with the appropriate parameters.
  D. Add the X-Cloud-Trace-Context header to the request with the appropriate parameters.

• Question 307:

  Your team is trying to reduce their cloud spend, and you want to evaluate your GKE Autopilot cluster costs. When reviewing the manifests, you see that resource requests are currently not specified. Your application is stateless and fault-tolerant, and there are no specific hardware or memory requirements on nodes. You want to modify the cluster to be scalable and cost-effective as quickly as possible while maintaining a cluster with sufficient computing resources.

  What should you do?

  A. Request that your Pods run as Spot Pods, and use the cloud.google.com/gke-spot=true label in your YAML manifest.
  B. Request the Balanced compute class in your YAML manifest.
  C. In the YAML deployment configuration manifest, request and set the maximum CPU to 5 vCPU.
  D. Set up Cloud Trace and Cloud Monitoring, identify the maximum memory used in the past 30 days, and set the YAML manifest to request that amount of memory.
  A. Request that your Pods run as Spot Pods, and use the cloud.google.com/gke-spot=true label in your YAML manifest.

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  Explanation

  Running Pods as Spot Pods with the cloud.google.com/gke-spot=true label reduces costs significantly for stateless, fault-tolerant workloads while maintaining scalability and sufficient resources in your GKE Autopilot cluster.

• Question 308:

  You are developing a marquee stateless web application that will run on Google Cloud. The rate of the incoming user traffic is expected to be unpredictable, with no traffic on some days and large spikes on other days. You need the application to automatically scale up and down, and you need to minimize the cost associated with running the application.

  What should you do?

  A. Build the application in Python with Firestore as the database. Deploy the application to Cloud Run.
  B. Build the application in C# with Firestore as the database. Deploy the application to App Engine flexible environment.
  C. Build the application in Python with Cloud SQL as the database. Deploy the application to App Engine standard environment.
  D. Build the application in Python with Firestore as the database. Deploy the application to a Compute Engine managed instance group with autoscaling.
  A. Build the application in Python with Firestore as the database. Deploy the application to Cloud Run.

• Question 309:

  You plan to make a simple HTML application available on the internet. This site keeps information about FAQs for your application. The application is static and contains images, HTML, CSS, and Javascript. You want to make this application available on the internet with as few steps as possible.

  What should you do?

  A. Upload your application to Cloud Storage.
  B. Upload your application to an App Engine environment.
  C. Create a Compute Engine instance with Apache web server installed. Configure Apache web server to host the application.
  D. Containerize your application first. Deploy this container to Google Kubernetes Engine (GKE) and assign an external IP address to the GKE pod hosting the application.
  A. Upload your application to Cloud Storage.

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  Explanation

  https://cloud.google.com/storage/docs/hosting-static-website

• Question 310:

  Your code is running on Cloud Functions in project

  A. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
  B. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf- admin-robot.iam.gserviceaccount.com service account.
  C. Grant the [email protected] service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
  D. Enable the Cloud Storage API in project B.
  C. Grant the [email protected] service account the roles/ storage.objectCreator role for the Cloud Storage bucket.