- (Exam Topic 2)
Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B. You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

1. A. Deploy the Pub/Sub and Cloud Run emulators on your local machin
2. B. Deploy the application locally, and change the logging level in the application to DEBUG or INF
3. C. Write mock messages to topic A, and then analyze the logs.
4. D. Use the gcloud CLI to write mock messages to topic
5. E. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
6. F. Deploy the Pub/Sub emulator on your local machin
7. G. Point the production application to your local Pub/Sub topic
8. H. Write mock messages to topic A, and then analyze the logs.
9. I. Use the Google Cloud console to write mock messages to topic
10. J. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

Correct Answer: A

- (Exam Topic 2)
You are parsing a log file that contains three columns: a timestamp, an account number (a string), and a transaction amount (a number). You want to calculate the sum of all transaction amounts for each unique account number efficiently.
Which data structure should you use?

1. A. A linked list
2. B. A hash table
3. C. A two-dimensional array
4. D. A comma-delimited string

Correct Answer: B

- (Exam Topic 2)
Your team develops services that run on Google Cloud. You want to process messages sent to a Pub/Sub topic, and then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts. You need to use the cheapest and most simple solution. What should you do?

1. A. Process the messages with a Dataproc job, and write the output to storage.
2. B. Process the messages with a Dataflow streaming pipeline using Apache Beam's PubSubIO package, and write the output to storage.
3. C. Process the messages with a Cloud Function, and write the results to a BigQuery location where you can run a job to deduplicate the data.
4. D. Retrieve the messages with a Dataflow streaming pipeline, store them in Cloud Bigtable, and use another Dataflow streaming pipeline to deduplicate messages.

Correct Answer: B
https://cloud.google.com/dataflow/docs/concepts/streaming-with-cloud-pubsub

- (Exam Topic 2)
You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?

1. A. Package each component in a separate containe
2. B. Implement readiness and liveness probes.
3. C. Package the application in a single containe
4. D. Use a process management tool to manage each component.
5. E. Package each component in a separate containe
6. F. Use a script to orchestrate the launch of the components.
7. G. Package the application in a single containe
8. H. Use a bash script as an entrypoint to the container, and then spawn each component as a background job.

Correct Answer: A
https://cloud.google.com/blog/products/containers-kubernetes/7-best-practices-for-building-containers https://cloud.google.com/architecture/best-practices-for-building-containers
"classic Apache/MySQL/PHP stack: you might be tempted to run all the components in a single container. However, the best practice is to use two or three different containers: one for Apache, one for MySQL, and potentially one for PHP if you are running PHP-FPM."

- (Exam Topic 2)
You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments. How should you identify the Docker image in your build?

1. A. Use the latest Docker image tag.
2. B. Use a unique Docker image name.
3. C. Use the digest of the Docker image.
4. D. Use a semantic version Docker image tag.

Correct Answer: D