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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a server named Server1 that runs Windows Server 2016.
Server1 hosts a line-of-business application named App1. App1 has a memory leak that occasionally causes the application to consume an excessive amount of memory.
You need to log an event in the Application event log whenever App1 consumes more than 4 GB of memory.
Solution: You create an event trace data collector.
Does this meet the goal?
A. Yes
B. No
Answer: B
NEW QUESTION: 2
It is a widely used standard for message logging. It permits separation of the software that generates messages, the system that stores them, and the software that reports and analyzes them. This protocol is specifically designed for transporting event messages. Which of the following is being described?
A. SYSLOG
B. SMS
C. ICMP
D. SNMP
Answer: A
NEW QUESTION: 3
회사는 초당 1,000 개의 수신 이벤트를 수신하는 중요한 수집 서비스를 AWS에 구축하고 있습니다. 이벤트는 순서대로 처리되어야 하며 이벤트가 유실되지 않습니다. 여러 응용 프로그램이 각 이벤트를 처리해야합니다. 회사는 서비스를 API 게이트웨이를 통해 RESTful 호출로 공개합니다.
솔루션 아키텍트는 이러한 요구 사항에 따라 이벤트를 받기 위해 무엇을 사용해야 합니까?
A. Amazon DynamoDB
B. Amazon SNS
C. Amazon SQS
D. Amazon Kinesis 데이터 스트림
Answer: D
Explanation:
Explanation
Q: How does Amazon Kinesis Data Streams differ from Amazon SQS? Amazon Kinesis Data Streams enables real-time processing of streaming big data. It provides ordering of records, as well as the ability to read and/or replay records in the same order to multiple Amazon Kinesis Applications. The Amazon Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications reading from the same Amazon Kinesis data stream (for example, to perform counting, aggregation, and filtering). Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. Amazon SQS lets you easily move data between distributed application components and helps you build applications in which messages are processed independently (with message-level ack/fail semantics), such as automated workflows.
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