nerdexam
GoogleGoogle

PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #93

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #93: Real Exam Question with Answer & Explanation

Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #93. The question stem and answer options stay visible for context.

Submitted by anjalisingh· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions

Question

You are profiling the performance of your TensorFlow model training time and notice a performance issue caused by inefficiencies in the input data pipeline for a single 5 terabyte CSV file dataset on Cloud Storage. You need to optimize the input pipeline performance. Which action should you try first to increase the efficiency of your pipeline?

Options

  • APreprocess the input CSV file into a TFRecord file.
  • BRandomly select a 10 gigabyte subset of the data to train your model.
  • CSplit into multiple CSV files and use a parallel interleave transformation.
  • DSet the reshuffle_each_iteration parameter to true in the tf.data.Dataset.shuffle method.

Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer

You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.

Topics

#TensorFlow#Data pipeline#Performance optimization#Large datasets
Full PROFESSIONAL-MACHINE-LEARNING-ENGINEER PracticeBrowse All PROFESSIONAL-MACHINE-LEARNING-ENGINEER Questions