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NEW QUESTION: 1
By 2020, experts cited in the Connected Factory Partner Accelerator System Engineer Training believe that how many devices will be plugged into the Internet?
A. 800 million
B. 10 billion
C. 100 billion
D. 50 billion
Answer: D

NEW QUESTION: 2
HOTSPOT

* Batch
* Speed
* Serving


Answer:
Explanation:

Explanation:

Box 1: No
Box 2: No
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.

Box 3: Yes.
We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka. Interactive Queries allows you to get more than just processing from streaming.
Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer). Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing), Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft Power BI for reporting and visualization (serving layer).

NEW QUESTION: 3
이동 평균 예측 방법 :
A. 단면 예측 방법입니다.
B. 예측을 개발하기 위해 관련 변수에 대한 관심 변수를 회귀합니다.
C. 평활 상수를 기반으로 초기 예측을 조정하여 최종 예측을 도출합니다.
D. 이용 가능한 새로운 평균값을 평균에 포함시키고
가장 오래된 관찰.
Answer: D
Explanation:
The simple moving-average method is a smoothing technique that uses the experience of the past N periods (through time period t) to forecast a value for the next period. Thus, the average includes each new observation and discards the oldest observation. The forecast formula for the next period (for time period t+1) is the sum of the last N observations divided by N.