PROFESSIONAL-CLOUD-DEVELOPER Online Practice Questions and Answers

HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some metrics to help them troubleshoot. What should they do?

A. Take frequent snapshots of all of the VMs.

B. Install the Stackdriver Logging agent on the VMs.

C. Install the Stackdriver Monitoring agent on the VMs.

D. Use Stackdriver Trace to look for performance bottlenecks.

You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

A. Navigate to the Cloud Run page in the Google Cloud console, and select the service from the services list. Use the Metrics tab to visualize the number of errors for that revision and refresh the page daily.

B. Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Composer to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold.

C. Create an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined threshold.

D. Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Scheduler to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold

You are developing a new application. You want the application to be triggered only when a given file is updated in your Cloud Storage bucket. Your trigger might change, so your process must support different types of triggers. You want the configuration to be simple so that multiple team members can update the triggers in the future. What should you do?

A. Create an Eventarc trigger that monitors your Cloud Storage bucket for a specific filename, and set the target as Cloud Run.

B. Configure Cloud Storage events to be sent to Pub/Sub, and use Pub/Sub events to trigger a Cloud Build job that executes your application.

C. Configure a Firebase function that executes your application and is triggered when an object is updated in Cloud Storage.

D. Configure a Cloud Function that executes your application and is triggered when an object is updated in Cloud Storage.

Your company's corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there. What should you do?

A. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

B. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.

C. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.

D. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

A. 1. Enable Cloud SQL and Cloud Run in the same project.

2.

Configure a private IP address for Cloud SQL. Enable private services access.

3.

Create a Serverless VPC Access connector.

4.

Configure Cloud Run to use the connector to connect to Cloud SQL.

B. 1. Install PostgreSQL on a Compute Engine virtual machine (VM), and enable Cloud Run in the same project.

2.

Configure a private IP address for the VM. Enable private services access.

3.

Create a Serverless VPC Access connector.

4.

Configure Cloud Run to use the connector to connect to the VM hosting PostgreSQL.

C. 1. Use Cloud SQL and Cloud Run in different projects.

2.

Configure a private IP address for Cloud SQL. Enable private services access.

3.

Create a Serverless VPC Access connector.

4.

Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to connect to Cloud SQL.

D. 1. Install PostgreSQL on a Compute Engine VM, and enable Cloud Run in different projects.

2.

Configure a private IP address for the VM. Enable private services access.

3.

Create a Serverless VPC Access connector.

4.

Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to access the VM hosting PostgreSQL

Your company needs a database solution that stores customer purchase history and meets the following requirements:

Customers can query their purchase immediately after submission.

Purchases can be sorted on a variety of fields.

Distinct record formats can be stored at the same time.

Which storage option satisfies these requirements?

A. Firestore in Native mode

B. Cloud Storage using an object read

C. Cloud SQL using a SQL SELECT statement

D. Firestore in Datastore mode using a global query

You are deploying a single website on App Engine that needs to be accessible via the URL http://www.altostrat.com/. What should you do?

A. Verify domain ownership with Webmaster Central. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

B. Verify domain ownership with Webmaster Central. Define an A record pointing to the single global App Engine IP address.

C. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

D. Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Define an A record pointing to the single global App Engine IP address.

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning

to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:

?Test frequent local changes automatically.

?Local deployment emulates production deployment.

Which tools should you use to test building and running a container on your laptop using minimal resources'?

A. Terraform and kubeadm

B. Docker Compose and dockerd

C. Minikube and Skaffold

D. kaniko and Tekton

You deployed a new application to Google Kubernetes Engine and are experiencing some performance degradation. Your logs are being written to Cloud Logging, and you are using a Prometheus sidecar model for capturing metrics. You need to correlate the metrics and data from the logs to troubleshoot the performance issue and send real-time alerts while minimizing costs. What should you do?

A. Create custom metrics from the Cloud Logging logs, and use Prometheus to import the results using the Cloud Monitoring REST API.

B. Export the Cloud Logging logs and the Prometheus metrics to Cloud Bigtable. Run a query to join the results, and analyze in Google Data Studio.

C. Export the Cloud Logging logs and stream the Prometheus metrics to BigQuery. Run a recurring query to join the results, and send notifications using Cloud Tasks.

D. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.

Your team is responsible for maintaining an application that aggregates news articles from many different sources. Your monitoring dashboard contains publicly accessible real-time reports and runs on a Compute Engine instance as a web application. External stakeholders and analysts need to access these reports via a secure channel without authentication. How should you configure this secure channel?

A. Add a public IP address to the instance. Use the service account key of the instance to encrypt the traffic.

B. Use Cloud Scheduler to trigger Cloud Build every hour to create an export from the reports. Store the reports in a public Cloud Storage bucket.

C. Add an HTTP(S) load balancer in front of the monitoring dashboard. Configure Identity- Aware Proxy to secure the communication channel.

D. Add an HTTP(S) load balancer in front of the monitoring dashboard. Set up a Google- managed SSL certificate on the load balancer for traffic encryption.