Microsoft 70-774 Online Practice Questions and Exam Preparation

Microsoft 70-774 Online Questions & Answers

• Question 21:

  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 process some data by using Azure Machine Learning Studio. You have an intermediate dataset. The dataset has a column that contains date values stored in a format of MM/DD/YYYY.

  ft You need to split the column into three separate columns by year, month, and day.

  Which module should you use?

  A. Edit Metadata
  B. Normalize Data
  C. Clean Missing Data
  D. Import Data
  E. Execute Python Script
  F. Clip Values
  G. Clip Values
  H. Execute Python Script
  A. Edit Metadata

• Question 22:

  You are building an Azure Machine Learning workflow by using Azure Machine Learning Studio.

  You create an Azure notebook that supports the Microsoft Cognitive Toolkit.

  You need to ensure that the stochastic gradient descent (SGD) configuration maximizes the samples per second and supports parallel modeling that is managed by a parameter server.

  Which SGD algorithm should you use?

  A. DataParallelASGD
  B. DataParallelSGD
  C. ModelAveragingSGD
  D. BlockMomentumSGD
  C. ModelAveragingSGD

• Question 23:

  You are working on an Azure Machine Learning experiment that uses four different logistic regression algorithms. You are evaluating the algorithms based on the data in the following table.

  

  Which model produces predictions that are the closest to the actual outcomes?

  A. Model 1
  B. Model 2
  C. Model 3
  D. Model 4
  A. Model 1

• Question 24:

  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 need to remove rows that have an empty value in a specific column. The solution must use a native module.

  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
  H. Clean Missing Data

• Question 25:

  You have the following HiveQL query in an Import Data module.

  

  Which type of operation is being performed?

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

• Question 26:

  You need to identify which columns are more predictive by using a statistical method. Which module should you use?

  A. Filter Based Feature Selection
  B. Principal Component Analysis
  C. Group Data into Bins
  D. Tune Model Hyperparameters
  B. Principal Component Analysis

• Question 27:

  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
  B. No

• Question 28:

  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
  C. an Azure Machine Learning experiment

• Question 29:

  You plan to use the Import Data module to import data from a web URL by using HTTP. Which file format can you use as the source of the import operation?

  A. Optimized Row Columnar (ORQ
  B. Extensible Markup Language (XML)
  C. comma-separated value (CSV)
  D. JavaScript Object Notation (JSON)
  D. JavaScript Object Notation (JSON)

• Question 30:

  You have data about the following: Users Movies User ratings of the movies You need to predict whether a user will like a particular movie. Which Matchbox recommender should you use?

  A. Rating Prediction
  B. Related Users
  C. Item Recommendation
  D. Related Items
  A. Rating Prediction