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NEW QUESTION: 1
Which of the following BEST describes a hub?
A. Inspects traffic and accepts or declines transmission
B. Broadcasts data to specific network devices
C. Broadcasts data to all network devices
D. Determines the best route to transmit data
Answer: C

NEW QUESTION: 2
회사는 Amazon S3를 객체 스토리지 솔루션으로 사용합니다. 이 회사는 데이터를 저장하는 데 사용하는 수천 개의 S3을 보유하고 있습니다. 일부 S3 버킷에는 다른 것보다 덜 자주 액세스되는 데이터가 있습니다. 솔루션 아키텍트는 라이프 사이클 정책이 일관되게 구현되지 않거나 부분적으로 구현 된 것을 발견했습니다. 결과적으로 고비용 스토리지에 데이터가 저장됩니다.
객체 가용성을 떨어 뜨리지 않으면 서 비용을 절감 할 솔루션은 무엇입니까?
A. S3 One Zone-infrequent Access (S3 One Zone-IA)를 사용하십시오.
B. Amazon Elastic Block Store EBS) 자동 스냅 샷 사용
C. S3 ACL 사용
D. S3 인텔리전트 티어링 스토리지 사용
Answer: D

NEW QUESTION: 3
Which two metrics should you use to identify the appropriate RU/s for the telemetry data? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Session consistency
B. Number of requests
C. End to end observed read latency at the 99th percentile
D. Number of requests exceeded capacity
E. Avg Troughput/s
F. Data + Index storage consumed
Answer: B,F
Explanation:
Explanation
Scenario: The telemetry data must be monitored for performance issues. You must adjust the Cosmos DB Request Units per second (RU/s) to maintain a performance SLA while minimizing the cost of the Ru/s.
With Azure Cosmos DB, you pay for the throughput you provision and the storage you consume on an hourly basis.
While you estimate the number of RUs per second to provision, consider the following factors:
Item size: As the size of an item increases, the number of RUs consumed to read or write the item also increases.
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.

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