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Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

  • Exam Number/Code : DP-500
  • Exam Name : Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
Ihr Netzwerk enthält zwei Active Directory-Gesamtstrukturen. Jede Gesamtstruktur enthält zwei Domänen. Auf allen Clientcomputern wird Windows 10 ausgeführt und sie sind Domänenmitglied.
Sie planen, die Hybrid Azure AD-Verknüpfung für die Computer zu konfigurieren.
Sie erstellen einen Microsoft Azure Active Directory-Mandanten.
Sie müssen sicherstellen, dass die Computer den Azure AD-Mandanten erkennen können.
Was solltest du erstellen?
A. Ein neuer Dienstverbindungspunkt (SCP) für jede Domäne
B. Eine neue Vertrauensstellung für jede Gesamtstruktur
C. Ein neuer Dienstverbindungspunkt (SCP) für jede Gesamtstruktur
D. Ein neues Computerkonto für jeden Computer
Answer: C
Explanation:
Explanation
Your devices use a service connection point (SCP) object during the registration to discover Azure AD tenant information. In your on-premises Active Directory instance, the SCP object for the hybrid Azure AD joined devices must exist in the configuration naming context partition of the computer's forest. There is only one configuration naming context per forest. In a multi-forest Active Directory configuration, the service connection point must exist in all forests that contain domain-joined computers.
Reference:
https://docs.microsoft.com/en-us/azure/active-directory/devices/hybrid-azuread-join-manual

NEW QUESTION: 2
What FortiView tool can you use to automatically build a dataset and chart based on a filtered search result?
A. Export to Report Chart
B. Custom View
C. Dataset Library
D. Chart Builder
Answer: D

NEW QUESTION: 3
A company is deploying a service-based data environment. You are developing a solution to process this data.
The solution must meet the following requirements:
* Use an Azure HDInsight cluster for data ingestion from a relational database in a different cloud service
* Use an Azure Data Lake Storage account to store processed data
* Allow users to download processed data
You need to recommend technologies for the solution.
Which technologies should you use? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

Explanation:
Box 1: Apache Sqoop
Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
Azure HDInsight is a cloud distribution of the Hadoop components from the Hortonworks Data Platform (HDP).
Incorrect Answers:
DistCp (distributed copy) is a tool used for large inter/intra-cluster copying. It uses MapReduce to effect its distribution, error handling and recovery, and reporting. It expands a list of files and directories into input to map tasks, each of which will copy a partition of the files specified in the source list. Its MapReduce pedigree has endowed it with some quirks in both its semantics and execution.
RevoScaleR is a collection of proprietary functions in Machine Learning Server used for practicing data science at scale. For data scientists, RevoScaleR gives you data-related functions for import, transformation and manipulation, summarization, visualization, and analysis.
Box 2: Apache Kafka
Apache Kafka is a distributed streaming platform.
A streaming platform has three key capabilities:
Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.
Store streams of records in a fault-tolerant durable way.
Process streams of records as they occur.
Kafka is generally used for two broad classes of applications:
Building real-time streaming data pipelines that reliably get data between systems or applications
Building real-time streaming applications that transform or react to the streams of data
Box 3: Ambari Hive View
You can run Hive queries by using Apache Ambari Hive View. The Hive View allows you to author, optimize, and run Hive queries from your web browser.
References:
https://sqoop.apache.org/
https://kafka.apache.org/intro
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-ambari-view