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NEW QUESTION 32
The CUSTOM tier for Cloud Machine Learning Engine allows you to specify the number of which types of cluster nodes?

  • A. Parameter servers
  • B. Workers and parameter servers
  • C. Masters, workers, and parameter servers
  • D. Workers

Answer: B

Explanation:
Explanation
The CUSTOM tier is not a set tier, but rather enables you to use your own cluster specification. When you use this tier, set values to configure your processing cluster according to these guidelines:
You must set TrainingInput.masterType to specify the type of machine to use for your master node.
You may set TrainingInput.workerCount to specify the number of workers to use.
You may set TrainingInput.parameterServerCount to specify the number of parameter servers to use.
You can specify the type of machine for the master node, but you can’t specify more than one master node.
Reference: https://cloud.google.com/ml-engine/docs/training-overview#job_configuration_parameters

 

NEW QUESTION 33
Your globally distributed auction application allows users to bid on items. Occasionally, users place identical bids at nearly identical times, and different application servers process those bids. Each bid event contains the item, amount, user, and timestamp. You want to collate those bid events into a single location in real time to determine which user bid first. What should you do?

  • A. Set up a MySQL database for each application server to write bid events into. Periodically query each of those distributed MySQL databases and update a master MySQL database with bid event information.
  • B. Have each application server write the bid events to Google Cloud Pub/Sub as they occur. Use a pull subscription to pull the bid events using Google Cloud Dataflow. Give the bid for each item to the user in the bid event that is processed first.
  • C. Have each application server write the bid events to Cloud Pub/Sub as they occur. Push the events from Cloud Pub/Sub to a custom endpoint that writes the bid event information into Cloud SQL.
  • D. Create a file on a shared file and have the application servers write all bid events to that file. Process the file with Apache Hadoop to identify which user bid first.

Answer: A

 

NEW QUESTION 34
Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat
a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have
asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

  • A. Increase your network bandwidth from your datacenter to GCP.
  • B. Increase the size of the Google Persistent Disk on your server.
  • C. Increase your network bandwidth from Compute Engine to Cloud Storage.
  • D. Increase the CPU size on your server.

Answer: A

 

NEW QUESTION 35
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