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NEW QUESTION: 1
You have an Active Directory domain named adatum.com. All servers run Windows Server 2012.
You have a failover cluster named FC1 that contains two servers named Node1 and Node2. Node1 and Node 2 are connected to an iSCSI Storage Area Network (SAN).
You plan to deploy a shared folder named Share1 to FC1.
You need to recommend which cluster resource must be created to ensure that the shared folder can be accessed from both nodes of FC1 simultaneously.
What should you recommend?
A. the clustered File Server role of the File Server for general use type
B. the clustered File Server role of the File Server for scale-out application data type
C. the Generic Application cluster role
D. the DFS Namespace Server cluster role
Answer: B

NEW QUESTION: 2
조직의 IS 재해 복구 계획을 검토하는 IS 감사인은 다음 사항을 확인해야 합니다.
A. 최고 경영자 (CEO) 승인.
B. 조직의 모든 부서장에게 전달됩니다.
C. 6 개월마다 테스트 됨.
D. 정기적으로 검토 및 업데이트됩니다.
Answer: D
Explanation:
설명:
이 계획은 사업의 성격과 시스템 및 인력의 변화율에 따라 적절한 간격으로 검토되어야 합니다. 그렇지 않으면 유효 기간이 만료되어 더 이상 유효하지 않을 수 있습니다. 이 계획은 정기적인 테스트를 거쳐야 하지만 테스트 기간은 조직의 성격과 IS의 상대적 중요성에 따라 달라집니다. 3 개월 또는 심지어 매년 다른 상황에서 적절할 수 있습니다. 재해 복구 계획은 고위 경영진의 승인을 받아야 하지만, 다른 임원이 동등하거나 더 적절할 경우 CEO가 될 필요는 없습니다. 순전히 IS 관련 계획의 경우 기술 책임자가 계획을 승인했을 수 있습니다. 마찬가지로 비즈니스 연속성 계획이 조직 전체에 배포되지만 IS 재해 복구 계획은 일반적으로 기술 문서 일 뿐이며 IS 및 통신 직원에게만 관련이 있습니다.

NEW QUESTION: 3
Which technology should you recommend to meet the technical requirement for analyzing the social media data?
A. Azure Data Lake Analytics
B. Azure HDInsight Storm clusters
C. Azure Stream Analytics
D. Azure Machine Learning
Answer: C
Explanation:
Explanation
Azure Stream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.
Scalability
Stream Analytics can handle up to 1 GB of incoming data per second. Integration with Azure Event Hubs and Azure IoT Hub allows jobs to ingest millions of events per second coming from connected devices, clickstreams, and log files, to name a few. Using the partition feature of event hubs, you can partition computations into logical steps, each with the ability to be further partitioned to increase scalability.
Topic 1, RelecloudGeneral Overview
Relecloud is a social media company that processes hundreds of millions of social media posts per day and sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.
DB1 is hosted on a Microsoft Azure virtual machine.
Physical locations
Relecloud has two main offices. The offices we located in San Francisco and New York City.
The offices connected to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Business model
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame. The highest trending topics generate the highest advertising revenue.
CTO statement
Relecloud wants to deliver reports lo the advertisers by using Microsoft Power BI. The reports will provide real-time data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year. The data will be retained for five years for the purpose of long term trending.
Requirements
Business goals
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near real-time.
Planned changes
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.
General technical requirements
Relecloud identifies the following technical requirements:
* Social media data must be analyzed to identify trending topics in real time.
* The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
* The real-time solution used to analyze the social media data must support selling up and down without service interruption.
Technical requirements for advertisers
Relecloud identifies the following technical requirements for the advertisers
* The advertisers must be able to see only their own data in the Power BI reports.
* The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
* The advertisers must be able to leverage existing Transact-SQL language knowledge when developing the real-time streaming solution.
* Members of the internal advertising sales team at Relecloud must be able to see only the sales data of the advertisers to which they are assigned.
* The Internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting rows for the advertisers to which they are not assigned.
* The internal Relecloud advertising sales team must be able to use a text file to update the list of advertisers, and then to upload the file to Azure Blob storage.
DB1 requirements
Relecloud identifies the following requirements for DB1:
* Data generated by the streaming analytics platform must be stored in DB1.
* The user names of the advertisers must be mapped to CustomerID in a table named Table2.
* The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
* The user names of the employees at Relecloud must be mapped to EmployeeID in a table named Table3.
DB2 requirements
Relecloud identifies the following requirements for DB2:
* DB2 must have minimal storage costs.
* DB2 must run load processes in parallel.
* DB2 must support massive parallel processing.
* DB2 must be able to store more than 40 TB of data.
* DB2 must support scaling up and down, as required.
* Data from DB1 must be archived in DB2 for long-term storage.
* All of the reports that are executed from DB2 must use aggregation.
* Users must be able to pause DB2 when the data warehouse is not in use.
* Users must be able to view previous versions of the data in DB2 by using aggregates.
ETL requirements
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
* Data movement between DB1 and DB2 must occur each hour.
* An email alert must be generated when a failure of any type occurs during ETL processing.
rls_table1
You execute the following code for a table named rls_table1.

dbo.table1
You use the following code to create Table1.

Streaming data
The following is a sample of the Streaming data.

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