You migrated some of your applications to Google Cloud. You are using a legacy monitoring platform deployed on-premises for both on-premises and cloud-deployed applications. You discover that your notification system is responding slowly to time-critical problems in the cloud applications. What should you do?
A. Replace your monitoring platform with Cloud Monitoring.
B. Install the Cloud Monitoring agent on your Compute Engine instances.
C. Migrate some traffic back to your old platform. Perform A/B testing on the two platforms concurrently.
D. Use Cloud Logging and Cloud Monitoring to capture logs, monitor, and send alerts. Send them to your existing platform.
You made a typo in a low-level Linux configuration file that prevents your Compute Engine instance from booting to a normal run level. You just created the Compute Engine instance today and have done no other maintenance on it, other than tweaking files. How should you correct this error?
A. Download the file using scp, change the file, and then upload the modified version
B. Configure and log in to the Compute Engine instance through SSH, and change the file
C. Configure and log in to the Compute Engine instance through the serial port, and change the file
D. Configure and log in to the Compute Engine instance using a remote desktop client, and change the file
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 CloudSQL 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.
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.
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