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NEW QUESTION 50
What are the minimum permissions needed for a service account used with Google Dataproc?

A. Execute to Google Cloud Storage; execute to Google Cloud LoggingB. Read and write to Google Cloud Storage; write to Google Cloud LoggingC. Write to Google Cloud Storage; read to Google Cloud LoggingD. Execute to Google Cloud Storage; write to Google Cloud Logging

Answer: B

Explanation:
Service accounts authenticate applications running on your virtual machine instances to other Google Cloud Platform services. For example, if you write an application that reads and writes files on Google Cloud Storage, it must first authenticate to the Google Cloud Storage API. At a minimum, service accounts used with Cloud Dataproc need permissions to read and write to Google Cloud Storage, and to write to Google Cloud Logging.
Reference: https://cloud.google.com/dataproc/docs/concepts/service-
accounts#important_notes

 

NEW QUESTION 51
You are testing a Dataflow pipeline to ingest and transform text files. The files are compressed gzip, errors are written to a dead-letter queue, and you are using Sidelnputs to join data You noticed that the pipeline is taking longer to complete than expected, what should you do to expedite the Dataflow job?

A. Retry records that throw an errorB. Switch to compressed Avro filesC. Use CoGroupByKey instead of the SidelnputD. Reduce the batch size

Answer: D

 

NEW QUESTION 52
The marketing team at your organization provides regular updates of a segment of your customer dataset. The marketing team has given you a CSV with 1 million records that must be updated in BigQuery. When you use the UPDATE statement in BigQuery, you receive a quotaExceeded error. What should you do?

A. Reduce the number of records updated each day to stay within the BigQuery UPDATE DML statement limit.B. Split the source CSV file into smaller CSV files in Cloud Storage to reduce the number of BigQuery UPDATE DML statements per BigQuery job.C. Increase the BigQuery UPDATE DML statement limit in the Quota management section of the Google Cloud Platform Console.D. Import the new records from the CSV file into a new BigQuery table. Create a BigQuery job that merges the new records with the existing records and writes the results to a new BigQuery table.

Answer: A

 

NEW QUESTION 53
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