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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 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. countByValueAndWindow
B. reduceByWindow
C. countByWindow
D. updateStateByKey
E. reduceByKeyAndWindow
Answer: D

NEW QUESTION: 2
View the Exhibit to examine the metrics with a threshold.
Which statement is true regarding the Number of Transactions (per second) metric?

A. Oracle uses statistical relevance to determine when an adaptive threshold has been breached for the metric.
B. The total concurrent number of threshold violations, which must occur before an alert is raised for the metric, has been set to zero.
C. Oracle determines when an adaptive threshold has been breached based on the maximum value captured by the baseline.
D. The statistics for the metric values observed over the baseline time period are not examined to determine threshold values.
Answer: A

NEW QUESTION: 3
追加費用なしのインフラストラクチャイベント管理を含むAWSサポートの最小プランはどれですか？
A. ビジネス
B. 開発者
C. エンタープライズ
D. 基本
Answer: C
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/plans/

NEW QUESTION: 4
Which of the following would be considered a verification technique?
A. Thread Testing
B. Equivalence Partitioning
C. Boundary Analysis
D. Regression Testing
E. Code Inspections
Answer: E