DP-100 Practice Test

DP-100 Practice Test practice questions, page 10 of 21, with answer review and explanations.

Question 46

You are building an intelligent solution using machine learning models. The environment must support the following requirements: ✑ Data scientists must build notebooks in a cloud environment ✑ Data scientists must use automatic feature engineering and model building in machine learning pipelines. ✑ Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation. ✑ Notebooks must be exportable to be version controlled locally. You need to create the environment. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Select and Place:

Question 47

You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. You have the following requirements: ✑ Models must be built using Caffe2 or Chainer frameworks. ✑ Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments. Personal devices must support updating machine learning pipelines when connected to a network. You need to select a data science environment. Which environment should you use?

  1. Azure Machine Learning Service
  2. Azure Machine Learning Studio
  3. Azure Databricks
  4. Azure Kubernetes Service (AKS)

Question 48

You are implementing a machine learning model to predict stock prices. The model uses a PostgreSQL database and requires GPU processing. You need to create a virtual machine that is pre-configured with the required tools. What should you do?

  1. Create a Data Science Virtual Machine (DSVM) Windows edition.
  2. Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.
  3. Create a Deep Learning Virtual Machine (DLVM) Linux edition.
  4. Create a Deep Learning Virtual Machine (DLVM) Windows edition.

Question 49

You are developing deep learning models to analyze semi-structured, unstructured, and structured data types. You have the following data available for model building: ✑ Video recordings of sporting events ✑ Transcripts of radio commentary about events ✑ Logs from related social media feeds captured during sporting events You need to select an environment for creating the model. Which environment should you use?

  1. Azure Cognitive Services
  2. Azure Data Lake Analytics
  3. Azure HDInsight with Spark MLib
  4. Azure Machine Learning Studio

Question 50

You must store data in Azure Blob Storage to support Azure Machine Learning. You need to transfer the data into Azure Blob Storage. What are three possible ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

  1. Bulk Insert SQL Query
  2. AzCopy
  3. Python script
  4. Azure Storage Explorer
  5. Bulk Copy Program (BCP)