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NEW QUESTION: 1
조직은 대량의 해시 태그 데이터 스트림을 실시간으로 처리해야 하며 특정 태그에 대한 통찰력을 얻으려면 데이터에 대해 사용자 지정 SQL 쿼리를 실행해야 합니다. 조직은이 솔루션이 탄력적이어야 하고 클러스터를 관리하고 싶지 않습니다.
다음 중 어떤 서비스가 이러한 요구 사항을 충족합니까?
A. 아마존 아테나
B. 아마존 레드 시프트
C. Amazon Kinesis Data Analytics
D. Amazon Elasticsearch Service
Answer: C
Explanation:
Explanation
The streaming source for your application. You can select either a Kinesis data stream or a Kinesis Data Firehose data delivery stream as the streaming source. In the input configuration, you map the streaming source to an in-application input stream. The in-application stream is like a continuously updating table upon which you can perform the SELECT and INSERT SQL operations. In your application code, you can create additional in-application streams to store intermediate query results.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Kinesis Data Analytics takes care of everything required to run your real-time applications continuously and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming applications consume. There is no minimum fee or setup cost.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in this series contains a unique solution. Determine whether the solution meets the stated goals.
Your company has employees in different regions around the world.
You need to create a database table that stores the following employee attendance information:
- Employee ID
- date and time employee checked in to work
- date and time employee checked out of work
Date and time information must be time zone aware and must not store fractional seconds.
Solution: You run the following Transact-SQL statement:

Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
datetime2 defines adate that is combined with a time of day that is based on 24-hour clock. datetime2 can be considered as an extension of the existing datetime type that has a larger date range, a larger default fractional precision, andoptional user-specified precision.
References: https://msdn.microsoft.com/en-us/library/bb677335.aspx

NEW QUESTION: 3



A. Option D
B. Option B
C. Option A
D. Option C
Answer: D
Explanation:
Filter to exclude MAC address of Server3.
References: Exam Ref 70-410: Installing and Configuring Windows Server 2012 R2: Objective 5.3 Create and manage Active Directory groups and Organization units, Chapter 3: Configure Hyper-V, p.180
http://technet.microsoft.com/en-us/magazine/ff521761.aspx
http://technet.microsoft.com/en-us/library/cc726954(v=ws.10).aspx


Exam Topics

The following topics and their approximate %ages of content are likely to be included on the AWS Certified Data Analytics AWS-Certified-Data-Analytics-Specialty exam. However, Amazon may include other related topics on any delivery of exam.

  • Network Fundamentals 20%
  • Network Access 20%
  • IP Connectivity 25%
  • IP Services 10%
  • Security Fundamentals 15%
  • Automation and Programmability 10%



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