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NEW QUESTION: 1
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 data. 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 Storm
B. Apache HBase
C. Apache Hadoop
D. Apache Spark
Answer: A
Explanation:
Explanation/Reference:
Explanation:
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-storm-overview

NEW QUESTION: 2
You have the following code (line numbers are included for reference only):

You need to ensure that if an exception occurs, the exception will be logged. Which code should you insert at line 28?

A. Option D
B. Option C
C. Option A
D. Option B
Answer: C
Explanation:
* XmlWriterTraceListener
Directs tracing or debugging output as XML-encoded data to a TextWriter or to a Stream,
such as a FileStream.

NEW QUESTION: 3
Which levels constitute the structure of a sales order? Please choose the correct answer. Note: Answers to this question are not verified by our experts, please study yourself and select the appropriate answers.
Contribute: Please send the correct answers with reference text/link on [email protected] to get up to
50% cashback.
A. Order
B. Customer
C. Distribution channel Division
D. Material
E. Sales organization
F. Header
G. Delivery Billing
H. Item Schedule line
I. Inventory
Answer: E

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