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NEW QUESTION: 1
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

NEW QUESTION: 2
DRAG DROP
You are building a SQL Server Integration Services (SSIS) package to load product data sourced from a SQL Azure database to a data warehouse. Before the product data is loaded, you create a batch record by using an Execute SQL task named Create Batch. After successfully loading the product data, you use another Execute SQL task named Set Batch Success to mark the batch as successful.

You need to create and execute an Execute SQL task to mark the batch as failed if either the Create Batch or Load Products task fails.
Which three steps should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)

Answer:
Explanation:

Explanation:
References:
http://msdn.microsoft.com/en-us/library/ms141003.aspx
http://msdn.microsoft.com/en-us/library/ms141261.aspx
http://msdn.microsoft.com/en-us/library/ms141722.aspx
http://msdn.microsoft.com/en-us/library/ms139895.aspx

NEW QUESTION: 3
Azure Service Bus가 있습니다.
이름이 Queue1 인 큐를 작성합니다. Queue1은 다음 전시회와 같이 구성됩니다.

드롭 다운 메뉴를 사용하여 그래픽에 표시된 정보를 기반으로 각 설명을 완료하는 답변 선택을 선택하십시오.
참고 : 각각의 올바른 선택은 1 포인트의 가치가 있습니다.

Answer:
Explanation:

Explanation