Microsoft Perform Data Engineering on Microsoft Azure HDInsight.

Similar documents
Exam Questions

exam. Microsoft Perform Data Engineering on Microsoft Azure HDInsight. Version 1.0

microsoft

Microsoft. Exam Questions Perform Data Engineering on Microsoft Azure HDInsight (beta) Version:Demo

Microsoft. Exam Questions Perform Data Engineering on Microsoft Azure HDInsight (beta) Version:Demo

Microsoft. Perform Data Engineering on Microsoft Azure HDInsight Version: Demo. Web: [ Total Questions: 10]

BIG DATA COURSE CONTENT

HDInsight > Hadoop. October 12, 2017

Microsoft Exam

Data Architectures in Azure for Analytics & Big Data

Big Data Syllabus. Understanding big data and Hadoop. Limitations and Solutions of existing Data Analytics Architecture

Innovatus Technologies

SQT03 Big Data and Hadoop with Azure HDInsight Andrew Brust. Senior Director, Technical Product Marketing and Evangelism

Hadoop. Introduction / Overview

Big Data Architect.

Big Data Hadoop Developer Course Content. Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours

Stages of Data Processing

Delving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture

Processing Unstructured Data. Dinesh Priyankara Founder/Principal Architect dinesql Pvt Ltd.

Index. Scott Klein 2017 S. Klein, IoT Solutions in Microsoft s Azure IoT Suite, DOI /

Hadoop 2.x Core: YARN, Tez, and Spark. Hortonworks Inc All Rights Reserved

Overview. Prerequisites. Course Outline. Course Outline :: Apache Spark Development::

How to Run the Big Data Management Utility Update for 10.1

Developing Microsoft Azure Solutions

New Features and Enhancements in Big Data Management 10.2

Big Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara

Agenda. Spark Platform Spark Core Spark Extensions Using Apache Spark

Blended Learning Outline: Developer Training for Apache Spark and Hadoop (180404a)

Alexander Klein. #SQLSatDenmark. ETL meets Azure

Spatial Analytics Built for Big Data Platforms

Big Data with Hadoop Ecosystem

MODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS

HDP Security Overview

HDP Security Overview

The Hadoop Ecosystem. EECS 4415 Big Data Systems. Tilemachos Pechlivanoglou

Increase Value from Big Data with Real-Time Data Integration and Streaming Analytics

We are ready to serve Latest Testing Trends, Are you ready to learn?? New Batches Info

Oracle 1Z Oracle Big Data 2017 Implementation Essentials.

Distributed systems for stream processing

Bring Context To Your Machine Data With Hadoop, RDBMS & Splunk

Architecting Microsoft Azure Solutions (proposed exam 535)

17/05/2017. What we ll cover. Who is Greg? Why PaaS and SaaS? What we re not discussing: IaaS

Security and Performance advances with Oracle Big Data SQL

Overview. : Cloudera Data Analyst Training. Course Outline :: Cloudera Data Analyst Training::

Oracle Big Data. A NA LYT ICS A ND MA NAG E MENT.

Hortonworks Data Platform

Big Data Hadoop Course Content

Franck Mercier. Technical Solution Professional Data + AI Azure Databricks

Data contains value and knowledge

Activator Library. Focus on maximizing the value of your data, gain business insights, increase your team s productivity, and achieve success.

Certified Big Data and Hadoop Course Curriculum

Exam : Implementing Microsoft Azure Infrastructure Solutions

Big Data. Big Data Analyst. Big Data Engineer. Big Data Architect

20532D - Version: 1. Developing Microsoft Azure Solutions

20777A: Implementing Microsoft Azure Cosmos DB Solutions

Introduction to Cloudbreak

Microsoft Architecting Microsoft Azure Solutions.

Talend Big Data Sandbox. Big Data Insights Cookbook

Flash Storage Complementing a Data Lake for Real-Time Insight

CONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED DATA PLATFORM

Modern Data Warehouse The New Approach to Azure BI

Big Streaming Data Processing. How to Process Big Streaming Data 2016/10/11. Fraud detection in bank transactions. Anomalies in sensor data

Big Data Analytics using Apache Hadoop and Spark with Scala

Introduction to Oracle NoSQL Database

Webinar Series TMIP VISION

Configuring and Deploying Hadoop Cluster Deployment Templates

An Introduction to Apache Spark

CERTIFICATE IN SOFTWARE DEVELOPMENT LIFE CYCLE IN BIG DATA AND BUSINESS INTELLIGENCE (SDLC-BD & BI)

Talend Big Data Sandbox. Big Data Insights Cookbook

Přehled novinek v SQL Server 2016

Processing 11 billions events a day with Spark. Alexander Krasheninnikov

Swimming in the Data Lake. Presented by Warner Chaves Moderated by Sander Stad

Big Data com Hadoop. VIII Sessão - SQL Bahia. Impala, Hive e Spark. Diógenes Pires 03/03/2018

Azure Data Factory. Data Integration in the Cloud

Developing Microsoft Azure Solutions

Overview of Data Services and Streaming Data Solution with Azure

Certified Big Data Hadoop and Spark Scala Course Curriculum

Hadoop course content

Hortonworks and The Internet of Things

20533B: Implementing Microsoft Azure Infrastructure Solutions

Deploying Applications on DC/OS

Big Data Integrator Platform Platform Architecture and Features Dr. Hajira Jabeen Technical Team Leader-BDE University of Bonn

/ Cloud Computing. Recitation 9 March 17th and 19th, 2015

Big Data Hadoop Stack

Course AZ-100T01-A: Manage Subscriptions and Resources

BraindumpsQA. IT Exam Study materials / Braindumps

Blended Learning Outline: Cloudera Data Analyst Training (171219a)

Azure Webinar. Resilient Solutions March Sander van den Hoven Principal Technical Evangelist Microsoft

Hadoop Development Introduction

Introduction to Big-Data

Approaching the Petabyte Analytic Database: What I learned

Spark Streaming. Guido Salvaneschi

Oracle GoldenGate for Big Data

Gain Insights From Unstructured Data Using Pivotal HD. Copyright 2013 EMC Corporation. All rights reserved.

Configuring Ports for Big Data Management, Data Integration Hub, Enterprise Information Catalog, and Intelligent Data Lake 10.2

Cloud Computing & Visualization

Cloudline Autonomous Driving Solutions. Accelerating insights through a new generation of Data and Analytics October, 2018

The Technology of the Business Data Lake. Appendix

Oracle Big Data SQL. Release 3.2. Rich SQL Processing on All Data

Oracle Big Data Connectors

Transcription:

Microsoft 70-775 Perform Data Engineering on Microsoft Azure HDInsight http://killexams.com/pass4sure/exam-detail/70-775

QUESTION: 30 You are building a security tracking solution in Apache Kafka to parse Security logs. The Security logs record an entry each time a user attempts to access an application. Each log entry contains the IP address used to make the attempt and the country from which the attempt originated. You need to receive notifications when an IP address from outside of the United States is used to access the application. Solution: Create two new brokers. Create a file import process to send messages. Run the producer. Does this meet the goal? A. Yes B. No Answer: A QUESTION: 31 You have an initial data that contains the crime data from major cities. You plan to build training models from the training data. You plan to automate the process of adding more data to the training models and to training the models by using the additional data, including data that is collected in near real time. The system will be used to analyze event data gathered from many different sources. Such as Internet of things (IoT) devices, Live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and ptace. You have an incoming data stream from Twitter and an incoming data stream from Facebook. which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.the data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post or how many times a tweet that contains a specific hashtag is retweeted.you must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types tor the various tasks associated to the processing pipeline. You are planning a storage strategy for a large amount of analytic data used for the crime data analytics system. The initial data load involves aver 100 billion records, and more than two billion records will be added daily. You already created an Apache Hadoop cluster in HDInsight premium. You need to implement the storage strategy to meet the following requirements: The storage capacity must support 50 TB. The storage must he optimized tor Hadoop. The data must be stored in its native format Enterprise-level security based on Active Directory must be supported. What should you create? A. a virtual machine (VM) by using the Window, that has premium storage- a G-series

size, and uses Microsoft SQL Server 2016 to store the data B. an Azure Data Lake Analytics service by using Azure Power Shell C. an Azure Data Lake Store account by using the Azure portal D. an Azure Blob storage account by using the Azure portal Answer: B QUESTION: 32 You have an initial data that contains the crime data from major cities. You plan to build training models from the training data. You plan to automate the process of adding more data to the training models and to training the models by using the additional data, including data that is collected in near real time. The system will be used to analyze event data gathered from many different sources. Such as Internet of things (IoT) devices, Live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place. You have an incoming data stream from Twitter and an incoming data stream from Facebook. which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds. The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post or how many times a tweet that contains a specific hashtag is retweeted. You must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types tor the various tasks associated to the processing pipeline. You plan to consolidate all of the stream into a single timeline, even though none of the streams report events at the same interval. You need to aggregate the data from the feeds to align with the time interval stream. The result must be the sim of all values for each within a 10 second interval, with the keys being the hashtags. Which function should you use? A. countbywindow B. reduccbywindow C. reducebykeyandwindow D. countbyvalueandwindow E. updatestatebykey Answer: C QUESTION: 33 You need to deploy a NoSQL database to an HDInsight cluster. You will manage the servers that host the database by using Remote Desktop. The database must use the key/value pair format in a columnar model. What should you do? A. Use an Azure PowerShell Script to create and configure a premium HDInsight

cluster. Specify Apache Hadoop as the cluster type and use Linux as the operating System. B. Use the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system. C. Use an Azure PowerShell script to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Windows as the operating system. D. Use an Azure PowerShell script to create a standard HDInsight cluster. Specify Apache Storm as the cluster type and use Windows as the operating system. E. Use an Azure PowerShell script to create a premium HDInsight cluster. Specify Apache HBase as the cluster type and use Windows as the operating system. F. Use an Azure portal to create a standard HDInsight cluster. Specify Apache Interactive Hive as the cluster type and use Windows as the operating system. G. Use an Azure portal to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Windows as the operating system. Answer: E QUESTION: 34 DRAG DROP You have an Apache HBase cluster in Azure HDInsight. The cluster has a table named sales that contains a column family named customer family. You need to add a new column family named customeraddr to the sales table. How should you complete the command? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once or not at all. Answer: Exhibit

QUESTION: 35 You are configuring the Hive views on an Azure HDInsight cluster that is configured to use Kerberos. You plan to use the YARN loos to troubleshoot a query that runs against Apache Hadoop. You need to view the method, the service, and the authenticated account used to run the query. Which method call should you view in the YARN logs? A. HQL B. WebHDFS C. HDFS C* API D. Ambari REST API Answer: D

For More exams visit http://killexams.com Kill your exam at First Attempt...Guaranteed!