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NEW QUESTION: 1
You are implementing the indexing strategy for a fact table in a data warehouse. The fact table is named Quotes. The table has no indexes and consists of seven columns:
*[ID]
*[QuoteDate]
*[Open]
*[Close]
*[High]
*[Low]
*[Volume]
Each of the following queries must be able to use a columnstore index:
*SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
*SELECT AVG([High] - [Low]) AS [AverageRange] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
*SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
You need to ensure that the indexing strategy meets the requirements. The strategy must also minimize the number and size of the indexes.
What should you do?
A. Create three coiumnstore indexes:
One containing [QuoteDate] and [Close]
One containing [QuoteDate], [High], and [Low]
One containing [QuoteDate] and [Volume]
B. Create two columnstore indexes:
One containing [ID], [QuoteDate], [Volume], and [Close]
One containing [ID], [QuoteDate], [High], and [Low]
C. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and
[Volume].
D. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and
[QuoteDate].
Answer: C
Explanation:
Reference: http://msdn.microsoft.com/en-us/library/gg492088.aspx
Reference: http://msdn.microsoft.com/en-us/library/gg492153.aspx

NEW QUESTION: 2
AWS를 사용하여 회사를위한 안전한 백업 및 보관 솔루션을 설정해야 합니다. 문서는 3 개월 동안 즉시 액세스 할 수 있어야 하며 규정 준수를 위해 5 년 동안 사용할 수 있어야 합니다. 가장 비용 효율적인 방법으로 이러한 요구 사항을 충족하는 AWS 서비스는 무엇입니까? 정답 선택 :
선택 해주세요:
A. S3에 데이터를 업로드하고 수명 주기 정책을 사용하여 장기 보관을 위해 데이터를 Glacier로 이동합니다.
B. EBS에 데이터를 업로드하고 수명주기 정책을 사용하여 EBS 스냅 샷을 S3로 이동 한 다음 나중에 장기 보관을 위해 Glacier로 이동합니다.
C. Direct Connect를 사용하여 S3에 데이터를 업로드하고 IAM 정책을 사용하여 장기 보관을 위해 데이터를 Glacier로 이동합니다.
D. Storage Gateway를 사용하여 S3에 데이터를 저장하고 수명주기 정책을 사용하여 장기 보관을 위해 데이터를 Redshift로 이동합니다.
Answer: A
Explanation:
Explanation
amazon Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup. Customers can reliably store large or small amounts of data for as little as $0,004 per gigabyte per month, a significant savings compared to on-premises solutions.
With Amazon lifecycle policies you can create transition actions in which you define when objects transition to another Amazon S3 storage class. For example, you may choose to transition objects to the STANDARDJA (IA, for infrequent access) storage class 30 days after creation, or archive objects to the GLACIER storage class one year after creation.
Option B is invalid because lifecycle policies are not available for EBS volumes Option C is invalid because IAM policies cannot be used to move data to Glacier Option D is invalid because lifecycle policies is not used to move data to Redshif For more information on S3 lifecycle policies, please visit the URL:
http://docs.aws.amazon.com/AmazonS3/latest/dev/obiect-lifecycle-mgmt.html The correct answer is: Upload data to S3 and use lifecycle policies to move the data into Glacier for long-term archiving.
Submit your Feedback/Queries to our Experts

NEW QUESTION: 3
Case Study 2 - Contoso Ltd
Overview
Existing Environment
Contoso, Ltd. is a manufacturing company that produces outdoor equipment Contoso has quarterly board meetings for which financial analysts manually prepare Microsoft Excel reports, including profit and loss statements for each of the company's four business units, a company balance sheet, and net income projections for the next quarter.
Data and Sources
Data for the reports comes from three sources. Detailed revenue, cost and expense data comes from an Azure SQL database. Summary balance sheet data comes from Microsoft Dynamics 365 Business Central. The balance sheet data is not related to the profit and loss results, other than they both relate to dates.
Monthly revenue and expense projections for the next quarter come from a Microsoft SharePoint Online list. Quarterly projections relate to the profit and loss results by using the following shared dimensions: date, business unit, department, and product category.
Net Income Projection Data
Net income projection data is stored in a SharePoint Online list named Projections in the format shown in the following table.

Revenue projections are set at the monthly level and summed to show projections for the quarter.
Balance Sheet Data
The balance sheet data is imported with final balances for each account per month in the format shown in the following table.

There is always a row for each account for each month in the balance sheet data.
Dynamics 365 Business Central Data
Business Central contains a product catalog that shows how products roll up to product categories, which roll up to business units. Revenue data is provided at the date and product level. Expense data is provided at the date and department level.
Business Issues
Historically, it has taken two analysts a week to prepare the reports for the quarterly board meetings. Also, there is usually at least one issue each quarter where a value in a report is wrong because of a bad cell reference in an Excel formula. On occasion, there are conflicting results in the reports because the products and departments that roll up to each business unit are not defined consistently.
Planned Changes
Contoso plans to automate and standardize the quarterly reporting process by using Microsoft Power Bl. The company wants to how long it takes to populate reports to less than two days. The company wants to create common logic for business units, products, and departments to be used across all reports, including, but not limited, to the quarterly reporting for the board.
Technical Requirements
Contoso wants the reports and datasets refreshed with minimal manual effort The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information.
Maintenance, including manually updating data and access, must be minimized as much as possible.
Security Requirements
The reports must be made available to the board from powerbi.com. A mail-enabled security group will be used to share information with the board.
The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone.
Report Requirements
You plan to relate the balance sheet to a standard date table in Power Bl in a many-to-one relationship based on the last day of the month. At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter.
Projections must contain a column named RevenueProjection that contains the revenue projection amounts. A relationship must be created from Projections to a table named Date that contains the columns shown in the following table.

The relationships between products and departments to business units must be consistent across all reports.
The board must be able to get the following information from the quarterly reports:
- Revenue trends over time
- Ending balances for each account
- A comparison of expenses versus projections by quarter
- Changes in long-term liabilities from the previous quarter
- A comparison of quarterly revenue versus the same quarter during the
prior year
Hotspot Question
You need to grant access to the business unit analysts.
What should you configure? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.

Answer:
Explanation:

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