- (Exam Topic 2)
You have an HTTP Cloud Function that is called via POST. Each submission’s request body has a flat, unnested JSON structure containing numeric and text data. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?

1. A. Directly persist each POST request’s JSON data into Datastore.
2. B. Transform the POST request’s JSON data, and stream it into BigQuery.
3. C. Transform the POST request’s JSON data, and store it in a regional Cloud SQL cluster.
4. D. Persist each POST request’s JSON data as an individual file within Cloud Storage, with the file name containing the request identifier.

Correct Answer: D

- (Exam Topic 2)
Your existing application keeps user state information in a single MySQL database. This state information is
very user-specific and depends heavily on how long a user has been using an application. The MySQL database is causing challenges to maintain and enhance the schema for various users.
Which storage option should you choose?

1. A. Cloud SQL
2. B. Cloud Storage
3. C. Cloud Spanner
4. D. Cloud Datastore/Firestore

Correct Answer: A
Reference: https://cloud.google.com/solutions/migrating-mysql-to-cloudsql-concept

- (Exam Topic 2)
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?

1. A. Firestore in Native mode
2. B. Cloud Storage using an object read
3. C. Cloud SQL using a SQL SELECT statement
4. D. Firestore in Datastore mode using a global query

Correct Answer: A

- (Exam Topic 2)
You are developing a single-player mobile game backend that has unpredictable traffic patterns as users interact with the game throughout the day and night. You want to optimize costs by ensuring that you have enough resources to handle requests, but minimize over-provisioning. You also want the system to handle traffic spikes efficiently. Which compute platform should you use?

1. A. Cloud Run
2. B. Compute Engine with managed instance groups
3. C. Compute Engine with unmanaged instance groups
4. D. Google Kubernetes Engine using cluster autoscaling

Correct Answer: A

- (Exam Topic 2)
You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

1. A. Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script.
2. B. Create a PersistentVolumeClaim on the GKE cluste
3. C. Access the configuration files from the volume, and start the service using an ENTRYPOINT script.
4. D. Use the COPY statement in the Dockerfile to load the configuration into the container imag
5. E. Verify that the configuration is available, and start the service using an ENTRYPOINT script.
6. F. Add a startup script to the GKE instance group to mount the NFS share at node startu
7. G. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.

Correct Answer: D
Reference: https://cloud.google.com/compute/docs/instances/startup-scripts/linux