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C1000-144

Exam Code: C1000-144

Exam Name: IBM Machine Learning Data Scientist v1

Version: V22.75

Q & A: 580 Questions and Answers

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NEW QUESTION: 1
コアオーディエンスは何から作成されますか?
A. 広告キャンペーンの目的に最も一致するユーザー
B. オフラインの顧客リスト
C. あなたのビジネスからすでに購入した人々と同様の人口統計を持つ顧客
D. 人口統計に関連するデータ
Answer: D
Explanation:
Explanation:コアオーディエンスは、Facebookユーザーの人口統計に基づいて作成されます。これらには、地理的人口統計、ライフスタイル/ライフステージ人口統計、購入ベースの人口統計などが含まれます。

NEW QUESTION: 2
Which are lower-layer physical devices of NFV framework?
A. Storage device
B. Network device
C. Server
D. Air conditioning system
Answer: A,B,C

NEW QUESTION: 3
You are developing an application that will perform clickstream analysis. The application will ingest and analyze millions of messages in the real time.
You need to ensure that communication between the application and devices is bidirectional.
What should you use for data ingestion and stream processing? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
Box 1: Azure IoT Hub
Azure IoT Hub is the cloud gateway that connects IoT devices to gather data and drive business insights and automation. In addition, IoT Hub includes features that enrich the relationship between your devices and your backend systems. Bi-directional communication capabilities mean that while you receive data from devices you can also send commands and policies back to devices.
Note on why not Azure Event Hubs: An Azure IoT Hub contains an Event Hub and hence essentially is an Event Hub plus additional features. An important additional feature is that an Event Hub can only receive messages, whereas an IoT Hub additionally can also send messages to individual devices. Further, an Event Hub has access security on hub level, whereas an IoT Hub is aware of the individual devices and can grand and revoke access on device level.
Box 2: Azure HDInsight with Apache Storm
References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-compare-event-hubs
https://www.edureka.co/blog/introduction-to-real-time-analytics-with-apache-storm/

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