DP-100 Practice Test

DP-100 Practice Test practice questions, page 11 of 21, with answer review and explanations.

Question 51

You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?

  1. Convert to CSV
  2. Convert to Dataset
  3. Convert to ARFF
  4. Convert to SVMLight

Question 52

You plan to create a speech recognition deep learning model. The model must support the latest version of Python. You need to recommend a deep learning framework for speech recognition to include in the Data Science Virtual Machine (DSVM). What should you recommend?

  1. Rattle
  2. TensorFlow
  3. Weka
  4. Scikit-learn

Question 53

You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations. You need to configure the DLVM to support CUDA. What should you implement?

  1. Solid State Drives (SSD)
  2. Computer Processing Unit (CPU) speed increase by using overclocking
  3. Graphic Processing Unit (GPU)
  4. High Random Access Memory (RAM) configuration
  5. Intel Software Guard Extensions (Intel SGX) technology

Question 54

You plan to use a Data Science Virtual Machine (DSVM) with the open source deep learning frameworks Caffe2 and PyTorch. You need to select a pre-configured DSVM to support the frameworks. What should you create?

  1. Data Science Virtual Machine for Windows 2012
  2. Data Science Virtual Machine for Linux (CentOS)
  3. Geo AI Data Science Virtual Machine with ArcGIS
  4. Data Science Virtual Machine for Windows 2016
  5. Data Science Virtual Machine for Linux (Ubuntu)

Question 55

You are performing sentiment analysis using a CSV file that includes 12,000 customer reviews written in a short sentence format. You add the CSV file to Azure Machine Learning Studio and configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text module to the experiment to extract key phrases from the customer review column in the dataset. You must create a new n-gram dictionary from the customer review text and set the maximum n-gram size to trigrams. What should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area: