Microsoft 70-774 Online Practice Questions and Exam Preparation

Microsoft 70-774 Online Questions & Answers

• Question 11:

  Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.

  You have a non-tabular file that is saved in Azure Blob storage.

  You need to download the file locally, access the data in the file, and then format the data as a dataset.

  Which module should you use?

  A. Execute Python Script
  B. Tune Model Hyperparameters
  C. Normalize Data
  D. Select Columns in Dataset
  E. Import Data
  F. Edit Metadata
  G. Clip Values
  H. Clean Missing Data
  E. Import Data

• Question 12:

  You are building an Azure Machine Learning experiment.

  You need to transform 47 numeric columns into a set of 10 linearly uncorrelated features.

  Which module should you add to the experiment?

  A. Principal Component Analysis
  B. K-Means Clustering
  C. Normalize Data
  D. Group Data into Bins
  A. Principal Component Analysis

• Question 13:

  Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this scries.

  Start of repeated scenario

  You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add

  assets to projects and conduct experiments in the workspace.

  The experiments will be used for training models that will be published to provide scoring from web services.

  The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.

  End of repeated scenario.

  You plan to share the Machine Learning workspace with the other users.

  You are evaluating whether to assign the User role or the Owner role to several of the users.

  Which three actions can be performed by the users who are assigned the User role? Each correct answer presents a complete solution.

  NOTE: Each correct selection is worth one point.

  A. Create, open, modify, and delete datasets.
  B. Create, open, modify, and delete experiments.
  C. Invite users to the workspace.
  D. Delete users from the workspace.
  E. Create, open, modify, and delete web services.
  F. Access notebooks.
  C. Invite users to the workspace.
  D. Delete users from the workspace.
  F. Access notebooks.

• Question 14:

  The manager of a call center reports that staffing the center is difficult because the number of calls is unpredictable. You have historical data that contains information about the calls. You need to build an Azure Machine Learning experiment to predict the number of total calls each hour. Which model should you use?

  A. Multiclass Logistic Regression
  B. Boosted Decision Tree Regression
  C. Decision Forest Regression
  D. Poisson Regression
  D. Poisson Regression

• Question 15:

  DRAG DROP

  Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is

  exactly the same in each question in this series.

  A travel agency named Margie's Travel sells airline tickets to customers in the United States.

  Margie's Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure nears about possible delays due to weather

  conditions. The flight data contains the following attributes:

  The weather data contains the following attributes: AirportID, ReadingDate (YYYY/MM/DD HH), SkyConditionVisibility, WeatherType, WindSpeed, StationPressure, PressureChange, and HourlyPrecip.

  You need to remove the bias and to identify the columns in the input dataset that have the greatest predictive power.

  Which module should you use for each requirement? To answer, drag the appropriate modules to the correct requirements. Each module 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.

  NOTE: Each correct selection is worth one point.

  Select and Place:

  

  

• Question 16:

  You plan to use Azure Machine Learning to develop a predictive model. You plan to include an Execute Python Script module.

  What capability does the module provide?

  A. Outputting a file to a network location.
  B. Performing interactive debugging of a Python script.
  C. Saving the results of a Python script run in a Machine Learning environment to a local file.
  D. Visualizing univariate and multivariate summaries by using Python code.
  D. Visualizing univariate and multivariate summaries by using Python code.

• Question 17:

  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while

  others might not have a correct solution.

  After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You are designing an Azure Machine Learning workflow.

  You have a dataset that contains two million large digital photographs.

  You plan to detect the presence of trees in the photographs. You need to ensure that your model supports the following: Solution: You create an endpoint to the Computer vision API.

  Does this meet the goal?

  A. Yes
  B. No
  B. No

• Question 18:

  Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.

  Start of repeated scenario

  You plan to use Azure platform tools to detect and analyze food items in smart refrigerators. To provide families with an integrated experience for grocery shopping and cooking, the refrigerators will connect to other smart appliances, such as

  stoves and microwave ovens, on a LAN.

  You plan to build an object recognition model by using the Microsoft Cognitive Toolkit. The object recognition model will receive input from the connected devices and send results to applications.

  The training data will be derived from more than 10 TB of images. You will convert the raw images to the sparse format.

  End of repeated scenario.

  You need to preprocess the training data by using a Principal Component Analysis (PCA) algorithm in the least amount of time possible. Which implementation method should you use?

  A. Azure HDInsight using HiveML
  B. Azure Machine Learning Studio and a custom Execute Python Script module
  C. Azure HDInsight using Microsoft R Server
  D. Azure Machine Learning Studio with a custom Execute R Script module
  C. Azure HDInsight using Microsoft R Server

• Question 19:

  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while

  others might not have a correct solution.

  After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You are designing an Azure Machine Learning workflow.

  You have a dataset that contains two million large digital photographs.

  You plan to detect the presence of trees in the photographs.

  You need to ensure that your model supports the following:

  Solution: You create a Machine Learning experiment that implements the Multiclass Neural Network module.

  Does this meet the goal?

  A. Yes
  B. No
  A. Yes

• Question 20:

  Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is

  exactly the same in each question in this series.

  Start of repeated scenario

  You plan to use Azure platform tools to detect and analyze food items in smart refrigerators. To provide families with an integrated experience for grocery shopping and cooking, the refrigerators will connect to other smart appliances, such as

  stoves and microwave ovens, on a LAN.

  You plan to build an object recognition model by using the Microsoft Cognitive Toolkit. The object recognition model will receive input from the connected devices and send results to applications.

  The training data will be derived from more than 10 TB of images. You will convert the raw images to the sparse format.

  End of repeated scenario.

  You need to ensure that a web service endpoint can receive image data and use an object recognition model to return the expected object and the confidence level of the model. The solution must minimize the effort required to generate the

  client code to access the web service.

  Which resource should you use?

  A. the edX Data Science Learning Dashboard
  B. Azure Machine Learning Studio
  C. Cortana Intelligence Gallery
  D. the Data Science Virtual Machine
  B. Azure Machine Learning Studio