Your application is logging to Stackdriver. You want to get the count of all requests on all
/api/alpha/* endpoints.
What should you do?

• A. Add a Stackdriver counter metric for endpoint:/api/alpha/*.
• B. Export the logs to Cloud Pub/Sub and count lines matching /api/alpha.
• C. Export the logs to Cloud Storage and count lines matching /api/alpha.
• D. Add a Stackdriver counter metric for path:/api/alpha/.

You are responsible for developing a new ecommerce application that is running on Cloud Run.
You need to connect your application to a Cloud SQL database that is in a separate project. This project is on an isolated network dedicated to multiple databases without a public IP. You need to connect your application to this database. What should you do?

• A. Configure VPC Network Peering between both networks. In Cloud Run, create a Cloud SQL connection that uses the internal IP. Use Cloud SQL Language Connectors to interact with the database.
• B. Configure private services access on your project. In Cloud Run, create a Cloud SQL connection.
  Use Cloud SQL Language Connectors to interact with the database.
• C. Create a Private Service Connect endpoint on your network. Create a Serverless VPC Access connector on your project. Use Cloud SQL Language Connectors to create an internal connection.
• D. Create a subnet on your VPC. Create a Serverless VPC Access connector on your project using the new subnet. In Cloud Run, create a Cloud SQL connection. Use Cloud SQL Language Connectors to interact with the database.

You are deploying your applications on Compute Engine. One of your Compute Engine instances failed to launch. What should you do? (Choose two.)

• A. Check whether your instance boot disk is completely full.
• B. Troubleshoot firewall rules or routes on an instance.
• C. Access Compute Engine as a different SSH user.
• D. Check whether network traffic to or from your instance is being dropped.
• E. Determine whether your file system is corrupted.

Case Study 2 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
- Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
- State is stored in a single instance MySQL database in GCP.
- Release cycles include development freezes to allow for QA testing.
- The application has no logging.
- Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings.
- There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
- Expand availability of the application to new regions.
- Support 10x as many concurrent users.
- Ensure a consistent experience for users when they travel to different regions.
- Obtain user activity metrics to better understand how to monetize their product.
- Ensure compliance with regulations in the new regions (for example, GDPR).
- Reduce infrastructure management time and cost.
- Adopt the Google-recommended practices for cloud computing.
Develop standardized workflows and processes around application lifecycle management.
Define service level indicators (SLIs) and service level objectives (SLOs).
Technical Requirements
- Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure.
- The application must provide usage metrics and monitoring.
- APIs require authentication and authorization.
- Implement faster and more accurate validation of new features.
- Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.
- Must scale to meet user demand.
For this question, refer to the HipLocal case study.
HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?

• A. Create a service account for the application and for each Google Cloud API used by the application. Export and deploy the private keys used by the application. Use the service account with one Google Cloud API to interact with Google Cloud.
• B. Use the default compute service account to interact with Google Cloud.
• C. Create an API key. Use the API key to interact with Google Cloud.
• D. Create a service account for the application. Export and deploy the private key for the application.
  Use the service account to interact with Google Cloud.

You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data migration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment.
Which command should you use?

• A. gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
• B. gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
• C. hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
• D. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/