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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 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 plan to consolidate all of the streams 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 alight with the time interval stream. The result must be the sum of all the values for each key within a 10 second interval, with the keys being the hashtags.
Which function should you use?
A. reduceByWindow
B. countByValueAndWindow
C. countByWindow
D. updateStateByKey
E. reduceByKeyAndWindow
Answer: D

NEW QUESTION: 2
Which of the following activities occurs primarily in the transverse plane?
A. setting a volleyball
B. shooting a basketball
C. swinging a bat
D. punting a football
Answer: C

NEW QUESTION: 3
データアナリストは、会社の6つの異なる部門に対して、同じ要素のメトリックとディメンションを使用してダッシュボードを作成する必要があります。部門は「会社部門」と呼ばれる変数によってキャプチャされます。すべてのユーザーはすべてのデータにアクセスできる必要があります。
分析ワークスペースでこのタスクを実行する正しい方法は何ですか？
A. アナリストワークスペースでダッシュボードの視覚化を使用する
B. プロジェクトのコピーオプションを使用し、名前を変更して、すべて同じ要素を保持し、適切なグループと共有します。
C. ドロップダウンオプションを使用して、ユーザーがダッシュボードを変更できるように、分割を定義するディメンションを変更できるようにします。
D. パネルを自動的に通過するようにAdobeWorkspaceを構成します。
Answer: B