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NEW QUESTION 36
Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.
What strategy should you take?

  • A. Work with your ISP to diagnose the problem.
  • B. Roll back to an earlier known good release initially, then use Stackdriver Trace and logging to diagnose the problem in a development/test/staging environment.
  • C. Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application.
  • D. Roll back to an earlier known good release, then push the release again at a quieter period to investigate.
    Then use Stackdriver Trace and logging to diagnose the problem.

Answer: B

Explanation:
Explanation
Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
References: https://cloud.google.com/logging/

 

NEW QUESTION 37
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.

  • A. In the BigQuery interface, execute a query on the JOBS table to get the required information.
  • B. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
  • C. Use ‘bq show’ to list all jobs. Per job, use ‘bq Is’ to list job information and get the required information.
  • D. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.

Answer: C

Explanation:
https://cloud.google.com/bigquery/docs/managing-jobs

 

NEW QUESTION 38
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

  • A. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
  • B. Have the vehicle’s computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
  • C. Have the vehicle’ computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
  • D. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.

Answer: B

Explanation:
Explanation
Coldline Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:
Cold Data Storage – Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.
Disaster recovery – In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes

 

NEW QUESTION 39
You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted.
What should you do?

  • A. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- script in the Cloud Platform Console when you create the new virtual machine instance.
  • B. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
  • C. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
  • D. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url

Answer: A

Explanation:
https://cloud.google.com/compute/docs/shutdownscript

 

NEW QUESTION 40
……

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