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NEW QUESTION: 1

A. Option B
B. Option A
C. Option C
D. Option D
Answer: D

NEW QUESTION: 2
자전거 공유 회사는 피크 운영 시간 동안 자전거의 위치를 추적하기 위해 다층 아키텍처를 개발하고 있습니다. 이 회사는 기존 분석 플랫폼에서 이러한 데이터 포인트를 사용하려고합니다. 솔루션 아키텍트는이 아키텍처를 지원하기 위해 가장 실행 가능한 다중 계층 옵션을 결정해야 합니다. REST API에서 데이터 포인트에 액세스 할 수 있어야 합니다.
위치 데이터를 저장하고 검색하기위한 이러한 요구 사항을 충족하는 작업은 무엇입니까?
A. AWS Lambda와 함께 Amazon API Gateway를 사용합니다.
B. Amazon Redshift와 함께 Amazon QuickSight를 사용합니다.
C. Amazon Kinesis Data Analytics와 함께 Amazon API Gateway를 사용합니다.
D. Amazon S3와 함께 Amazon Athena를 사용합니다.
Answer: A
Explanation:
Keyword: Data points in its existing analytics platform + Data points must be accessible from the REST API + Track the location of its bicycles during peak operating hours They already have an analytics platform, A (Athena) and D (Kinesis Data Analytics) are out of the race even tough S3 & APT Gateway Support REST API. Now B and C are in Race. C will not support REST API. So answer should be B as per below details.
Now if we talk about data type, we are talking about GEO location data for their bicycles. API Gateway will be support REST API. So, exact solution should be API Gateway with AWS Lambda along with Amazon Kinesis Data Analytics (Assume its used already).

CORRECT: "Use Amazon API Gateway with AWS Lambda" is the correct answer.
INCORRECT: "Use Amazon Athena with Amazon S3" is incorrect as they already have analytics platform.
INCORRECT: "Use Amazon QuickSight with Amazon Redshift" is incorrect. This is not support REST API.
INCORRECT: "Use Amazon API Gateway with Amazon Kinesis Data Analytics" is incorrect as they already have analytics platform.
References:
https://aws.amazon.com/api-gateway/
https://aws.amazon.com/lambda/
https://aws.amazon.com/kinesis/data-analytics/

NEW QUESTION: 3
In the fallout Visualization which type of components can be added as checkpoints?
A. Dimension values using a THEN statements
B. Dimension values using a Logic Group statement
C. Dimension Values using an OR statement
D. Dimension values using an AND statement
Answer: A
Explanation:
https://docs.adobe.com/content/help/en/analytics/analyze/analysis-workspace/visualizations/fallout/configuring-interdimensional-fallout.html

NEW QUESTION: 4
You create a binary classification model using Azure Machine Learning Studio.
You must use a Receiver Operating Characteristic (RO C) curve and an F1 score to evaluate the model.
You need to create the required business metrics.
How should you complete the experiment? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.


Answer:
Explanation: