Killtest Microsoftの70-475試験過去問試験資料は特別にデザインされたもので、IT領域のエリートが組み立てられた強い団体が受験生の皆様に向いて研究した資料です。MCSA認証試験に合格したら、あなたはIT領域で国際的な価値を表すことができます。

70-475試験は、データ管理プロフェッショナル、データ アーキテクト、データ サイエンティスト、Microsoft Azure でのビッグ データ分析ソリューションを設計するデータ開発者を対象にしています。この試験の受験者は、ビッグ データ分析ソリューションに関連した実務経験を身に付ける予定のある方です。

配信開始: 2015 年 10 月 27 日
言語: 英語、中国語 (簡体字)、中国語 (繁体字)、フランス語、ドイツ語、日本語、ポルトガル語 (ブラジル)、スペイン語、ロシア語
対象者:IT プロフェッショナル
テクノロジ: Microsoft Azure
対応資格: MCP、MCSA、MCSE

Killtestを利用したら、試験に合格しないことは絶対ないです。Microsoftの70-475試験過去問はKilltestの専門チームが研究し続けてついに登場し、多くの人の夢が実現させることができます。ですから、Killtestの70-475試験過去問の品質を疑わないでください。これは間違いなくあなたが70-475試験に合格することを保証できる問題集です。

Share some MCSA 70-475 exam questions and answers below.
HOTSPOT
You implement DB2.
You need to configure the tables in DB2 to host the data from DB1. The solution must meet the requirements for DB2.
Which type of table and history table storage should you use for the table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one pint.



Answer:




Topic 1, Relecloud
General 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.




Which technology should you recommend to meet the technical requirement for analyzing the social media data?
A. Azure Stream Analytics
B. Azure Data Lake Analytics
C. Azure Machine Learning
D. Azure HDInsight Storm clusters
Answer: A

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.
Your company has multiple databases that contain millions of sales transactions.
You plan to implement a data mining solution to identity purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales data.
The solution must meet the following requirements:
• Run the analysis to identify fraud once per week.
• Continue to receive new sales transactions while the analysis runs.
• Be able to stop computing services when the analysis is NOT running.
Solution: You create a Microsoft Azure HDlnsight cluster.
Does this meet the goal?
A. Yes
B. No
Answer: B

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.
Your company has multiple databases that contain millions of sales transactions.
You plan to implement a data mining solution to identity purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales data.
The solution must meet the following requirements:
• Run the analysis to identify fraud once per week.
• Continue to receive new sales transactions while the analysis runs.
• Be able to stop computing services when the analysis is NOT running.
Solution: You create a Microsoft Azure Data Lake job.
Does this meet the goal?
A. Yes
B. No
Answer: A

DRAG DROP
You need to implement a solution that meets the data refresh requirement tor DB1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.



Answer: