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NEW QUESTION: 1
데이터 과학자는 고속 실시간 스트리밍 데이터를위한 서버리스 수집 및 분석 솔루션을 만들어야 합니다.
수집 프로세스는 JSON에서 들어오는 레코드를 버퍼링하고 데이터 손실없이 쿼리에 최적화 된 열 형식으로 변환해야 합니다. 출력 데이터 저장소는 가용성이 높아야 하며 분석가는 데이터에 대해 SQL 쿼리를 실행하고 기존 비즈니스 인텔리전스 대시 보드에 연결할 수 있어야 합니다.
데이터 과학자는 요구 사항을 충족하기 위해 어떤 솔루션을 구축해야 합니까?
A. 각 JSON 레코드를 Amazon S3의 스테이징 위치에 씁니다. S3 Put 이벤트를 사용하여 데이터를 Apache Parquet 또는 ORC 형식으로 변환하고 Amazon S3의 처리 된 데이터 위치에 데이터를 쓰는 AWS Lambda 함수를 트리거합니다. 분석가가 Amazon Athena를 사용하여 Amazon S3에서 직접 데이터를 쿼리하고 Athena JDBC (Java Database Connectivity) 커넥터를 사용하여 BI 도구에 연결하도록 합니다.
B. Amazon Kinesis Data Analytics를 사용하여 스트리밍 데이터를 수집하고 실시간 SQL 쿼리를 수행하여 Amazon S3로 전송하기 전에 레코드를 Apache Parquet로 변환합니다. 분석가가 Amazon Athena를 사용하여 Amazon S3에서 직접 데이터를 쿼리하고 Athena JDBC (Java Database Connectivity) 커넥터를 사용하여 BI 도구에 연결하도록 합니다.
C. AWS Glue 데이터 카탈로그에서 수신 데이터 형식의 스키마를 생성합니다. Amazon Kinesis Data Firehose 전송 스트림을 사용하여 데이터를 스트리밍하고 Amazon S3로 전송하기 전에 AWS Glue 데이터 카탈로그를 사용하여 데이터를 Apache Parquet 또는 ORC 형식으로 변환합니다. 분석가가 Amazon Athena를 사용하여 Amazon S3에서 직접 데이터를 쿼리하고 Athena JDBC (Java Database Connectivity) 커넥터를 사용하여 BI 도구에 연결하도록 합니다.
D. 각 JSON 레코드를 Amazon S3의 스테이징 위치에 씁니다. S3 Put 이벤트를 사용하여 데이터를 Apache Parquet 또는 ORC 형식으로 변환하고 Amazon RDS PostgreSQL 데이터베이스에 삽입하는 AWS Lambda 함수를 트리거합니다. 분석가가 RDS 데이터베이스에서 대시 보드를 쿼리하고 실행하도록 합니다.
Answer: C
NEW QUESTION: 2
In order for a company to meet regulatory requirements, all ESXi 6.x Hosts must be configured to direct logs to a syslog server.
What are two ways ESXi hosts can configured for this action? (Choose two)
A. Use the esxcli system syslog command.
B. Edit them in the ESXi host Advanced System Settings.
C. Syslog logging is not available for ESXi Hosts.
D. From the Syslog collector user interface of the Web Client.
Answer: A,B
Explanation:
Explanation/Reference:
Explanation:
To direct logs to a syslog server, uses esxcli system syslog command and edit them in the ESXi host advanced system settings.
Reference: https://kb.vmware.com/selfservice/microsites/search.do?
language=en_US&cmd=displayKC&externalId=2003322
NEW QUESTION: 3
Refer to the exhibit. A Cisco collaboration engineer is writing a report to summarize the call distribution characteristics in a Cisco Unified Contact Centre Express queue.
Which three characteristics can be reported about the call distribution? (Choose three.)
A. Agents that are answering calls for this queue can answer calls to other queues if available.
B. Changing the queue name from SupportQueue to Support01 requires updates to the script.
C. Calls to this queue can be distributed in a round-robin manner between agents.
D. Agents in this queue are expected to finish (wrap-up) a call within 60 seconds.
E. Calls to this queue are handled in the order they were received unless prioritized by the script.
F. Agents logged in to this queue automatically receive calls without the need to do anything else (Automatic work).
G. This queue will not work because no prompt has been selected.
Answer: A,B,E
NEW QUESTION: 4
What are the multiple, isolated locations within an AWS Region that are connected by low-latency networks called?
A. Availability Zones
B. Edge locations
C. Amazon VPCs
D. AWS Direct Connects
Answer: A
Explanation:
Explanation
Each Region is completely independent. Each Availability Zone is isolated, but the Availability Zones in a Region are connected through low-latency links. A Local Zone is an AWS infrastructure deployment that places select services closer to your end users. A Local Zone is an extension of a Region that is in a different location from your Region. It provides a high-bandwidth backbone to the AWS infrastructure and is ideal for latency-sensitive applications, for example machine learning.
e:https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html