You work for a retail company that has a busy online store. As you are approaching New Year, you find that your e-store is getting more and more traffic. You ensure that your web servers are behind a managed instance group. However, you notice that the web tier is frequently scaling, sometimes multiple times in an hour. You need to keep instance group from scaling up and down so rapidly. Which of the following options would help you to achieve this?

• A. Increase the cool down period.
• B. Change the auto scaling metric to use multiple metrics instead of just one metric.
• C. Reduce the number of maximum instance count.
• D. Associate a health check with instance group.

The core business of your company is to rent out construction equipment at large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput - up to thousands of events per hour per device - and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

• A. Create files in Cloud Storage as data comes in.
• B. Ingest the data into Bigtable. Create a row key based on the event timestamp.
• C. Create a file in Filestore per device, and append new data to that file.
• D. Ingest the data into Cloud SQL. Use multiple read replicas to match the throughput.

You need a dynamic way of provisioning VMs on Compute Engine. The exact specifications will be in a dedicated configuration file. You want to follow Google's recommended practices. Which method should you use?

• A. Managed Instance Group
• B. Cloud Composer
• C. Unmanaged Instance Group
• D. Deployment Manager

You deployed an App Engine application using gcloud app deploy, but it did not deploy to the intended project. You want to find out why this happened and where the application deployed.
What should you do?

• A. Check the web-application.xml file for your application and check project settings.
• B. Go the Cloud Shell and run gcloud config list to review the Google Cloud configuration used for deployment.
• C. Check the app.yaml file for your application and check project settings.
• D. Go to Deployment Manager and review settings for deployment of applications.

You need to extract text from audio files by using the Speech-to-Text API. The audio files are pushed to a Cloud Storage bucket. You need to implement a fully managed, serverless compute solution that requires authentication and aligns with Google-recommended practices. You want to automate the call to the API by submitting each file to the API as the audio file arrives in the bucket. What should you do?

• A. Run a Kubernetes job to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.
• B. Create an App Engine standard environment triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-TextAPI.
• C. Run a Python script by using a Linux cron job in Compute Engine to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.
• D. Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.