Free Microsoft DP-100 Exam Dumps

DragDrop

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.

MultipleChoice

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?

MultipleChoice

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?

Hotspot

You plan to preprocess text from CSV files. You load the Azure Machine Learning Studio default stop words list.

You need to configure the Preprocess Text module to meet the following requirements:

*Ensure that multiple related words from a single canonical form.

*Remove pipe characters from text.

*Remove words to optimize information retrieval.

Which three options should you select? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

MultipleChoice

You create a binary classification model by using Azure Machine Learning Studio.

You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep must meet the following requirements:

*iterate all possible combinations of hyperparameters

*minimize computing resources required to perform the sweep

*You need to perform a parameter sweep of the model.

Which parameter sweep mode should you use?

Hotspot

You are preparing to build a deep learning convolutional neural network model for image classification. You create a script to train the model using CUDA devices. You must submit an experiment that runs this script in the Azure Machine Learning workspace. The following compute resources are available:

* a Microsoft Surface device on which Microsoft Office has been installed. Corporate IT policies prevent the installation of additional software

* a Compute Instance named ds-workstation in the workspace with 2 CPUs and 8 GB of memory

* an Azure Machine Learning compute target named cpu-cluster with eight CPU-based nodes

* an Azure Machine Learning compute target named gpu-cluster with four CPU and GPU-based nodes

MultipleChoice

You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows:

* Minimum nodes: 2

* Maximum nodes: 4

You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values:

* Minimum nodes: 0

* Maximum nodes: 8

You need to reconfigure the compute resource.

Hotspot

You are hired as a data scientist at a winery. Trie previous data scientist used Azure Machine Learning. You need to review the models and explain how each model makes decisions.

Which explainer modules should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Hotspot

You are running a training experiment on remote compute in Azure Machine Learning.

The experiment is configured to use a conda environment that includes the mlflow and azureml-contrib-run packages.

You must use MLflow as the logging package for tracking metrics generated in the experiment

You need to complete the script for the experiment

How should you complete the code? To answer, select the appropriate options in the answer area.

DragDrop

You create a training pipeline using the Azure Machine Learning designer. You upload a CSV file that contains the data from which you want to train your model. You need to use the designer to create a pipeline that includes steps to perform the following tasks:

* Select the training features using the pandas filter method.

* Train a model based on the naive.bayes.GaussianNB algorithm.

* Return only the Scored Labels column by using the query select [scored Labels] froh t1;

Which modules should you use? To answer, drag the appropriate modules to the appropriate locations. Each module name may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content