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NEW QUESTION: 1
DRAG DROP
Drag the example on the left to the appropriate type of virtualization on the right.
Select and Place:

Answer:
Explanation:

NEW QUESTION: 2
You company has an on-premises deployment of Microsoft SharePoint Server 2013.
The company has sales, legal, and accounting departments.
A user stores a document in an on-premises instance of Microsoft OneDrive for Business.
You purchase an Office 365 subscription.
You plan to migrate the OneDrive or Business files from the on-premises deployment of SharePoint Server
2013 to Office 365.
You need to recommend migration methods that meet the following requirements:
* The sales department has more than 20,000 documents. The version history of the files must be maintained.
* The legal department has more than 5,000 documents. All of the current file permissions must be maintained.
* The accounting department has more than one million documents. All of the files must be migrated as quickly as possible.
Which migration method should you recommend for each department? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

References:
https://support.office.com/en-gb/article/Migrate-OneDrive-for-Business-files-from-on-premises-SharePoint-2013

NEW QUESTION: 3
Give syntax for- Specifies the installation variant - directory containing the installation kit?
Note: Choose the correct answer
A. --configfile=<file path>
B. -check_files
C. --archive_dir=<dir>
D. --dump_configfile_template=<file path>
Answer: C

NEW QUESTION: 4
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.
You have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training dat
a. You plan to automate the process of adding more data to the training models and to constantly tune 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 for the various tasks associated to the processing pipeline.
You are designing the real-time portion of the input stream processing. The input will be a continuous stream of data and each record will be processed one at a time. The data will come from an Apache Kafka producer.
You need to identify which HDInsight cluster to use for the final processing of the input data. This will be used to generate continuous statistics and real-time analytics. The latency to process each record must be less than one millisecond and tasks must be performed in parallel.
Which type of cluster should you identify?
A. Apache HBase
B. Apache Spark
C. Apache Storm
D. Apache Hadoop
Answer: C
Explanation:
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-storm-overview

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