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2021年1月10日

Professional Data Engineer Practice Exam (2021.01.10)

Professional Data Engineer Practice Exam (2021.01.10)
2021年1月10日

Google Cloud Certified – Professional Data Engineer – Practice Exam (Question 50)


Question 1

What are two of the characteristics of using online prediction rather than batch prediction?

  • A. It is optimized to handle a high volume of data instances in a job and to run more complex models.
  • B. Predictions are returned in the response message.
  • C. Predictions are written to output files in a Google Cloud Storage location that you specify.
  • D. It is optimized to minimize the latency of serving predictions.

Correct Answer: B, D

Online prediction:
– .Optimized to minimize the latency of serving predictions.
– .Predictions returned in the response message.
Batch prediction:
-.Optimized to handle a high volume of instances in a job and to run more complex models.
– .Predictions written to output files in a Google Cloud Storage location that you specify.

Reference contents:
– Prediction overview > Online prediction versus batch prediction


Question 2

What Google Cloud Dataflow concept determines when a Window’s contents should be output based on certain criteria being met?

  • A. Sessions
  • B. OutputCriteria
  • C. Windows
  • D. Triggers

Correct Answer: D

Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.

Reference contents:
– Trigger (Google Cloud Dataflow SDK 1.9.1 API)


Question 3

What is the general recommendation when designing your row keys for a Google Cloud Bigtable schema?

  • A. Include multiple time series values within the row key.
  • B. Keep the row kept as an 8 bit integer.
  • C. Keep your row key reasonably short.
  • D. Keep your row key as long as the field permits.
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