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NEW QUESTION: 1
대부분의 국가 증권법의 기본 목적은 다음과 같은 방법으로 투자 증권 발행을 규제하는 것입니다.
A. 자체 증권법이 없는 I'-co1 정부를위한 규제 체제를 제공합니다.
B. 투자 자금을 경제적으로 가장 중요한 용도로 사용합니다.
C. 투자자가 정보에 입각 한 결정을 내릴 수 있도록 모든 관련 사실을 공개해야 합니다.
D. 정부가 결정한 유가 증권의 발행 금지는 투자 등급이 아니다.
Answer: C
Explanation:
The basic purpose of the securities laws is to provide disclosure of adequate information so that investors can evaluate investments. This is accomplished through reporting requirements concerning the issuance and subsequent trading of securities. However, the government does not assess the merits of these securities.

NEW QUESTION: 2
Identify the five true statements.
A. AGG calculates Sparse dimensions
B. CALC DIM calculates Sparse dimensions
C. CALC DIM is faster than AGG on Sparse dimensions
D. CALC DIM calculates Dense dimensions
E. AGG calculates Dense dimensions
F. CALC DIM calculates member formulas
G. AGG is faster than CALC DIM on Sparse dimensions
H. AGG calculates member formulas
Answer: A,B,D,F,G
Explanation:
Explanation: Differences bettewen CALC DIM and AGG.
CALC DIM (Product);
This line calculates the Product dimension doing both outline
aggregation (such as rolling all the Colas up into the parent
value) and member formulas (C), if they exist for members in that
dimension. If we want to calculate multiple dimensions using
this command (say, Market and Product), just separate them
with commas:
CALC DIM (Market, Product);
Remember how we said that "CALC DIM" not only does
aggregation but also member formulas? Well, how many member
formulas are there in the Market and Product dimensions?
That's right: none, so "CALC DIM" is wasting time looking for
formulas that you know aren't there. For sparse dimensions that
don't have formulas, there's a command that only does aggregation
and as such, is usually faster:
AGG (Market, Product) (B, F)
Note: The CALC DIM command calculates the formulas and aggregations associated with each member of all the specified dimensions. This command calculates the formulas and aggregations associated with each member of all of the specified dimensions. The order in which dimensions are calculated depends on whether they are dense (G) or sparse (E). All of the dense dimensions are calculated first, in the order that the dense dimensions appear in dimList. The sparse dimensions are then calculated in a similar order.

NEW QUESTION: 3

A. Option A
B. Option C
C. Option D
D. Option E
E. Option B
Answer: A
Explanation:
Topic 4, WingTip Toys
General Background
You are a data architect for WingTip Toys. The company uses SQL Server 2012 Enterprise edition. SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) are installed on separate servers.
Data Warehouse
The company's data warehouse initially contained less than 100 MB and 100 million rows of data from only one data source. It now contains more than 10 TB and 10 billion rows of data, in 25 tables, from 12 data sources.
The largest table in the data warehouse, the factOrders table, contains 5 TB of data. The factOrders table contains three date keys: OrderDateKey InvoiceDateKey, and ShipDateKey. The data warehouse server has 1 TB of RAM. Memory usage is currently at 20 percent.
One billion rows of data are added to the data warehouse each month. New data is copied each night from the data sources into SQL Server staging tables, and existing records are not updated. The largest data set is order information, which is loaded in parallel into multiple staging tables, one for each data source. All the staging tables have the same structure and belong to the same filegroup as the factOrders table.
The dimCustomers table stores customer information that may change over time.
Data Models
You are developing three SSAS databases, as described in the following table.

Reporting
Business users frequently generate reports in Microsoft Excel by using PowerPivot. The PowerPivot Management Dashboard does not currently display any usage data.
Several SSRS reports exist that use the data warehouse as a source. The data warehouse queries are aggregate queries that use the factOrders table and one or more dimension tables. All SSRS data sources use Integrated Windows authentication.
SSRS displays a security access error message when managers run SSRS reports based on the Operations database.
Reporting performance has become unacceptably slow.
Business Requirements
Improve the query speed of the SSRS reports.
Allow business users to create reports by using PowerPivot and Power View.
Ensure that all users other than business users can view metadata for the Customers dimension. Ensure that business users cannot view metadata for the Customers dimension.
Technical Requirements
Modify the tables in the data warehouse to minimize aggregate query processing time.
Minimize disk storage in the data warehouse.
Ensure that all multidimensional models process data as quickly as possible.
Create a fact table named factCustomerContact in the data warehouse to store the contact date, customer key, and communication type for each instance of customer contact.
Store the history of customer information changes in the dimCustomers table.
Move data from the staging tables into the factOrders table as quickly as possible. When creating dimensions for the date keys in the factOrders table, minimize storage space requirements and optimize the cube processing time.
Ensure that queries against the Sales database return the most current data in the data warehouse.
Ensure that the SSAS model of the Finance database does not page to disk or return a memory error as the size of the database grows.
Create an SSAS monitoring solution that tracks the following data:
* Queries answered per second
* Queries from cache direct per second
* Queries from file per second.