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NEW QUESTION: 1
You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:
* Bikes
* Cars
* Vans
* Boats
You are building a regression model using the scikit-learn Python package.
You need to transform the text data to be compatible with the scikit-learn Python package.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: pandas as df
Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.
Box 2: transpose[ProductCategoryMapping]
Reshape the data from the pandas Series to columns.
Reference:
https://datascienceplus.com/linear-regression-in-python/
NEW QUESTION: 2
회사에는 IT 애플리케이션을 호스팅하는 여러 AWS 계정이 있습니다. Amazon CloudWatch Logs 에이전트는 모든 Amazon EC2 인스턴스에 설치됩니다. 이 회사는 모든 보안 이벤트를 로그 스토리지 전용의 중앙 집중식 AWS 계정으로 집계하려고 합니다.
보안 관리자는 여러 AWS 계정에서 거의 실시간으로 이벤트를 수집하고 상관 관계를 수행해야 합니다.
어떤 솔루션이 이러한 요구 사항을 충족합니까?
A. 로깅 AWS 계정의 Amazon Kinesis Data Firehose 스트림에 데이터를 게시하고 AWS Lambda 함수를 사용하여 스트림에서 메시지를 읽고 메시지를 Data Firehose로 푸시하고 Amazon S3에 데이터를 유지하도록 CloudWatch Logs 에이전트를 구성합니다.
B. 로깅 계정에서 Amazon Kinesis Data Streams 생성, 각 애플리케이션 AWS 계정의 CloudWatch Logs 스트림에 스트림 구독, Data Streams를 소스로 사용하여 Amazon Kinesis Data Firehose 전송 스트림을 구성하고 로그 데이터를 로깅 AWS 계정 내의 Amazon S3 버킷.
C. 로깅 AWS 계정의 CloudWatch Logs로 이벤트를 전달하도록 각 애플리케이션 AWS 계정에서 CloudWatch Logs 스트림을 구성합니다. 로깅 AWS 계정에서 Amazon Kinesis Data Firehose 스트림을 Amazon CloudWatch Events에 가입하고 스트림을 사용하여 Amazon S3에서 로그 데이터를 유지합니다.
D. CloudWatch Logs를 볼 수있는 권한으로 각 애플리케이션 AWS 계정에서 Log Audit IAM 역할 생성, Log Audit 역할을 수행하도록 AWS Lambda 기능 구성 및 CloudWatch Logs 데이터를 Amazon S3 버킷으로 매시간 내보내기 수행 AWS 계정 로깅.
Answer: B
NEW QUESTION: 3
You are asked to improve resiliency for individual redundancy groups in an SRX4600 chassis cluster. Which two features would accomplish this task? (Choose two.)
A. dual fabric links
B. interface monitoring
C. IP address monitoring
D. control link recovery
Answer: A,D
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