This page was exported from Free Exam Dumps Collection with All New Questions [ http://cert-exam.net ] Export date:Thu Sep 20 14:28:43 2018 / +0000 GMT ___________________________________________________ Title: [2018 Version] Learning PassLeader Free 45q 70-774 Exam Questions To Pass Exam with Great Ease --------------------------------------------------- New Updated 70-774 Exam Questions from PassLeader 70-774 PDF dumps! Welcome to download the newest PassLeader 70-774 VCE dumps: https://www.passleader.com/70-774.html (45 Q&As) Keywords: 70-774 exam dumps, 70-774 exam questions, 70-774 VCE dumps, 70-774 PDF dumps, 70-774 practice tests, 70-774 study guide, 70-774 braindumps, Perform Cloud Data Science with Azure Machine Learning Exam P.S. New 70-774 dumps PDF: https://drive.google.com/open?id=1kasCFEWbbVbNGXhtQ5AfwMOgYaKryNdH (2018 Version) >> New 70-773 dumps PDF: https://drive.google.com/open?id=11Ck4s9emCR_yMAeYu58_vudOR32OfJXY (2018 Version) >> New 70-775 dumps PDF: https://drive.google.com/open?id=16Ko6acR3bnZwYnl--najNi9hP740P3Xt (2018 Version) >> New 70-776 dumps PDF: https://drive.google.com/open?id=1R1iVzArLOI8VIIsY-pYYTq5ktJzHBkJR (2018 Version) NEW QUESTION 1You have an Azure Machine Learning environment. You are evaluating whether to use R code or Python. Which three actions can you perform by using both R code and Python in the Machine Learning environment? (Each correct answer presents a complete solution. Choose three.) A.    Preprocess, cleanse, and group data.B.    Score a training model.C.    Create visualizations.D.    Create an untrained model that can be used with the Train Model module.E.    Implement feature ranking. Answer: ABC NEW QUESTION 2Note: 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. 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 MetadataB.    Import DataC.    SMOTED.    Select Columns in Dataset Answer: D NEW QUESTION 3Note: 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 ScriptB.    Tune Model HyperparametersC.    Normalize DataD.    Select Columns in DatasetE.    Import DataF.    Edit MetadataG.    Clip ValuesH.    Clean Missing Data Answer: HExplanation:https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-learning/ NEW QUESTION 4You need to integrate code and formatted text into an Azure Machine Learning experiment that enables interactive execution. What should you use? A.    A Jupyter notebookB.    Azure Stream AnalyticsC.    An Execute Python Script moduleD.    An Execute R Script module Answer: A NEW QUESTION 5Note: 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 ScriptB.    Tune Model HyperparametersC.    Normalize DataD.    Select Columns in DatasetE.    Import DataF.    Edit MetadataG.    Clip ValuesH.    Clean Missing Data Answer: EExplanation:https://msdn.microsoft.com/en-us/library/azure/mt674698.aspx NEW QUESTION 6You are performing exploratory analysis of files that are encoded in a complex proprietary format. The format requires disk intensive access to several dependent files in HDFS. You need to build an Azure Machine Learning model by using a canopy clustering algorithm. You must ensure that changes to proprietary file formats can be maintained by using the least amount of effort. Which Machine Learning library should you use? A.    MicrosoftMLB.    Scikit-learnC.    SparkRD.    Mahout Answer: D NEW QUESTION 7You plan to use the Data Science Virtual Machine for development, but you are unfamiliar with R scripts. You need to generate R code for an experiment. Which IDE should you use? A.    XgBoostB.    RattleC.    Vowpal WabbitD.    R Tools for Visual Studio Answer: BExplanation:https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/provision-vm NEW QUESTION 8You 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.    DataParallelASGDB.    DataParallelSGDC.    ModelAveragingSGDD.    BlockMomentumSGD Answer: B NEW QUESTION 9You are building an Azure Machine Learning experiment. You need to transform a string column that has 47 distinct values into a binary indicator column. The solution must use the One-vs-All Multiclass model. Which module should you use? A.    Select Column TransformB.    Convert to Indicator ValuesC.    Group Categorical ValuesD.    Edit Metadata Answer: B NEW QUESTION 10You are analyzing taxi trips in New York City. You leverage the Azure Data Factory to create data pipelines and to orchestrate data movement. You plan to develop a predictive model for 170 million rows (37 GB) of raw data in Apache Hive by using Microsoft R Server to identify which factors contribute to the passenger tipping behavior. All of the platforms that are used for the analysis are the same. Each worker node has eight processor cores and 26 GB of memory. Which type of Azure HDInsight cluster should you use to produce results as quickly as possible? A.    HadoopB.    HBaseC.    Interactive HiveD.    Spark Answer: CExplanation:https://azure.microsoft.com/en-gb/blog/general-availability-of-hdinsight-interactive-query-blazing-fast-data-warehouse-style-queries-on-hyper-scale-data-2/ NEW QUESTION 11...... Download the newest PassLeader 70-774 dumps from passleader.com now! 100% Pass Guarantee! 70-774 PDF dumps & 70-774 VCE dumps: https://www.passleader.com/70-774.html (45 Q&As) (New Questions Are 100% Available and Wrong Answers Have Been Corrected! Free VCE simulator!) P.S. New 70-774 dumps PDF: https://drive.google.com/open?id=1kasCFEWbbVbNGXhtQ5AfwMOgYaKryNdH (2018 Version) >> New 70-773 dumps PDF: https://drive.google.com/open?id=11Ck4s9emCR_yMAeYu58_vudOR32OfJXY (2018 Version) >> New 70-775 dumps PDF: https://drive.google.com/open?id=16Ko6acR3bnZwYnl--najNi9hP740P3Xt (2018 Version) >> New 70-776 dumps PDF: https://drive.google.com/open?id=1R1iVzArLOI8VIIsY-pYYTq5ktJzHBkJR (2018 Version) --------------------------------------------------- Images: --------------------------------------------------- --------------------------------------------------- Post date: 2017-12-28 04:01:06 Post date GMT: 2017-12-28 04:01:06 Post modified date: 2017-12-28 04:01:06 Post modified date GMT: 2017-12-28 04:01:06 ____________________________________________________________________________________________ Export of Post and Page as text file has been powered by [ Universal Post Manager ] plugin from www.gconverters.com