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Câu 55: Databricks Certified Data Engineer Professional

The following code has been migrated to a Databricks notebook from a legacy workload: The code executes successfully and provides the logically correct results, however, it takes over 20 minutes to extract and load around 1 GB of data. Which statement is a possible explanation for this behavior?

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The following code has been migrated to a Databricks notebook from a legacy workload: The code executes successfully and provides the logically correct results, however, it takes over 20 minutes to extract and load around 1 GB of data. Which statement is a possible explanation for this behavior?

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Các lựa chọn

Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. %sh triggers a cluster restart to collect and install Git. Most of the latency is related to cluster startup time.
  2. B. Instead of cloning, the code should use %sh pip install so that the Python code can get executed in parallel across all nodes in a cluster.
  3. C. %sh does not distribute file moving operations; the final line of code should be updated to use %fs instead.
  4. D. Python will always execute slower than Scala on Databricks. The run.py script should be refactored to Scala.
  5. E. %sh executes shell code on the driver node. The code does not take advantage of the worker nodes or Databricks optimized Spark. — đáp án hiện tại

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