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NEW QUESTION 20
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. Add a Stackdriver counter metric for path:/api/alpha/.C. Export the logs to Cloud Pub/Sub and count lines matching /api/alphA.D. Export the logs to Cloud Storage and count lines matching /api/alphA.

Answer: D

 

NEW QUESTION 21
You deployed a new application to Google Kubernetes Engine and are experiencing some performance degradation. Your logs are being written to Cloud Logging, and you are using a Prometheus sidecar model for capturing metrics. You need to correlate the metrics and data from the logs to troubleshoot the performance issue and send real-time alerts while minimizing costs. What should you do?

A. Export the Cloud Logging logs and the Prometheus metrics to Cloud Bigtable. Run a query to join the results, and analyze in Google Data Studio.B. Export the Cloud Logging logs and stream the Prometheus metrics to BigQuery. Run a recurring query to join the results, and send notifications using Cloud Tasks.C. Create custom metrics from the Cloud Logging logs, and use Prometheus to import the results using the Cloud Monitoring REST API.D. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.

Answer: D

Explanation:
Reference:
https://cloud.google.com/blog/products/operations/troubleshoot-gke-faster-with-monitoring-data-in-your-logs

 

NEW QUESTION 22
Case Study
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.
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.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* 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.
* Increase the number of concurrent users that can be supported.
* 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.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

A. Use Google Kubernetes Engine for automated deployments.B. Use Knative to build and deploy serverless applications.C. Use serverless Google Cloud Functions.D. Use Google App Engine services.E. Use a large Google Compute Engine cluster for deployments.

Answer: B,C

Explanation:
Explanation/Reference:

 

NEW QUESTION 23
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

A. Use FTP to upload files.B. Use signed URLs to upload files.C. Change the API to be a multipart file upload API.D. Use CPanel to upload files.

Answer: B

Explanation:
Explanation/Reference:
Reference: https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform

 

NEW QUESTION 24
You are planning to add unit tests to your application. You need to be able to assert that published Pub/Sub messages are processed by your subscriber in order. You want the unit tests to be cost-effective and reliable.
What should you do?

A. Implement a mocking framework.B. Create a topic and subscription for each tester.C. Use the Pub/Sub emulator.D. Add a filter by tester to the subscription.

Answer: C

Explanation:
Explanation
https://cloud.google.com/pubsub/docs/emulator, "Testing apps locally with the emulator".

 

NEW QUESTION 25
......

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