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NEW QUESTION: 1

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

NEW QUESTION: 2

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

NEW QUESTION: 3
회사에서는 AWS CloudTrail 로그를 사용하여 각 개발자 계정에 대한 로그 파일을 Amazon S3 버킷으로 전달할 수 있었습니다. 이 회사는 관리 및 감사 검토를 간소화하기 위해 중앙 AWS 계정을 만들었습니다. 내부 감사자는 CloudTrail 로그에 액세스해야 하지만 모든 개발자 계정 사용자에 대한 액세스는 제한되어야 합니다. 솔루션은 안전하고 최적화되어야합니다.
솔루션 아키텍트는 이러한 요구 사항을 어떻게 충족해야 합니까?
A. 각 개발자 계정에서 CloudTrail을 구성하여 중앙 계정의 S3 버킷으로 로그 파일을 전달하십시오. 감사 자의 중앙 계정에 IAM 역할을 생성하십시오. 읽기 전용 권한을 제공하는 IAM 정책을 버킷에 연결하십시오.
B. 각 개발자 계정에서 AWS Lambda 기능을 구성하여 로그 파일을 중앙 계정에 복사하십시오. 감사 자의 중앙 계정에 IAM 역할을 생성하십시오. 읽기 전용 권한을 제공하는 IAM 정책을 버킷에 연결하십시오.
C. 각 개발자 계정의 S3 버킷에서 로그 파일을 복사하도록 중앙 계정에서 AWS Lambda 함수를 구성하십시오. 감사 자의 중앙 계정에 IAM 사용자를 생성하십시오. 버킷에 대한 전체 권한을 제공하는 IAM 정책을 연결하십시오.
D. 각 개발자 계정에서 CloudTrail을 구성하여 중앙 계정의 S3 버킷으로 로그 파일을 전달하십시오. 감사 자의 중앙 계정에 IAM 사용자를 생성하십시오. 버킷에 대한 전체 권한을 제공하는 IAM 정책을 연결하십시오.
Answer: B

NEW QUESTION: 4
DRAG DROP
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 dat
a. 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 use Spark Streaming for the real-time ingestion of Twitter feeds.
You need to apply transformation functions to the incoming data.
Which transformation function should you use for each use case? To answer, drag the appropriate functions to the correct cases. Each function may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

References: https://spark.apache.org/docs/latest/streaming-programming-guide.html