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Online 70-774 free questions and answers of New Version:

NEW QUESTION 1
You need to integrate code and formatted text into an Azure Machine Learning experiment that enables interactive execution.
What should you use?

  • A. a Jupyter notebook
  • B. Azure Stream Analytics
  • C. an Execute Python Script module
  • D. an Execute R Script module

Answer: A

NEW QUESTION 2
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 Decision Jungle module. Does this meet the goal?

  • A. Yes
  • B. No

Answer: B

NEW QUESTION 3
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

Answer: A

NEW QUESTION 4
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.
70-774 dumps exhibit

    Answer:

    Explanation: References:
    https://gallery.cortanaintelligence.com/Experiment/Binary-Classification-Flight-delay-prediction-3 https://msdn.microsoft.com/library/azure/038d91b6-c2f2-42a1-9215-1f2c20ed1b40

    NEW QUESTION 5
    You need to create a training set for use with a linear regression model, and then to test the training set.
    How should you create the training set? To answer, drag the appropriate modules to the correct locations. 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.
    70-774 dumps exhibit

      Answer:

      Explanation: C:\Users\wk\Desktop\mudassar\Untitled.jpg

      NEW QUESTION 6
      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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
      You have an Azure ML experiment that contains an intermediate dataset. You need to explore data from the intermediate dataset by using Jupyter.
      Solution: You add a web service input to retrieve the data for the data source, and then add the Execute R Script module.
      Does this meet the goal?

      • A. Yes
      • B. No

      Answer: B

      NEW QUESTION 7
      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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
      You have an Azure ML experiment that contains an intermediate dataset. You need to explore data from the intermediate dataset by using Jupyter.
      Solution: In Azure Mt Studio, you use the Save as dataset option, and then open the output in a new notebook. Does this meet the goal?

      • A. Yes
      • B. No

      Answer: A

      NEW QUESTION 8
      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 deploy a multiple-service solution that was developed already and published by other users in the Microsoft development community.
      What should you use?

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

      Answer: C

      NEW QUESTION 9
      You have the following HiveQL query in an Import Data module.
      70-774 dumps exhibit
      Which type of operation is being performed?

      • A. sampling a bucketized table
      • B. random sampling by groups
      • C. uniform random sampling
      • D. stratified sampling

      Answer: D

      NEW QUESTION 10
      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 use historical data about on-time flight performance and the weather data to predict whether the departure of a scheduled flight will be delayed by more than 30 minutes.
      Which method should you use?

      • A. clustering
      • B. linear regression
      • C. classification
      • D. anomaly detection

      Answer: C

      Explanation: References:
      https://gallery.cortanaintelligence.com/Experiment/Binary-Classification-Flight-delay-prediction-3

      NEW QUESTION 11
      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.
      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 need to alter the list of columns that will be used for predicting fraud for an input web service endpoint. The columns from the original data source must be retained while running the Machine Learning experiment.
      Which module should you add after the web service input module and before the prediction module?

      • A. Edit Metadata
      • B. Import Data
      • C. SMOTE
      • D. Select Columns in Dataset

      Answer: D

      NEW QUESTION 12
      You are building an Azure Machine Learning solution for an online retailer.
      When a customer selects a product, you need to recommend products that the customer might like to purchase at the same time. The recommendation should be based on what other customers purchased when they purchased the same product.
      Which model should you use?

      • A. Collaborative filtering
      • B. Boosted Decision Tree Regression model
      • C. Two-Class boosted decision tree
      • D. K-Means Clustering

      Answer: A

      NEW QUESTION 13
      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

      Answer: E

      Explanation: References:
      https://msdn.microsoft.com/en-us/library/azure/mt674698.aspx

      NEW QUESTION 14
      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 Azure notebook that supports the Microsoft Cognitive Toolkit. Does this meet the goal?

      • A. Yes
      • B. No

      Answer: B

      NEW QUESTION 15
      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

      Answer: D

      NEW QUESTION 16
      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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
      You have an Azure ML experiment that contains an intermediate dataset. You need to explore data from the intermediate dataset by using Jupyter.
      Solution: You add a Convert to CSV module to the Azure ML experiment and then open the module output in a new notebook.
      Does this meet the goal?

      • A. Yes
      • B. No

      Answer: A

      NEW 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

      Answer: B

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