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NEW QUESTION: 1
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 sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stored sales dat
a. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the operational workload.
Solution: You load the data in a heap table.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
It is better to use a clustered index.
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It uses column-based data storage and query processing to achieve up to 10x query performance gains in your data warehouse over traditional row-oriented storage, and up to 10x data compression over the uncompressed data size.
In SQL Server, rowstore refers to table where the underlying data storage format is a heap, a clustered index, or a memory-optimized table.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes- overview
NEW QUESTION: 2
Click the Exhibit button.
Referring to the exhibit, a FortiADC is load balancing IPv4 traffic between two next-hop routers. The FortiADC does not know the IP addresses of the servers. Also, the FortiADC is doing Layer 7 content inspection and modification.
In this scenario, which application delivery control is configured in the FortiADC?
A. Layer 7
B. Layer 3
C. Layer 2
D. Laye.4
Answer: D
NEW QUESTION: 3
Which two statements are true regarding the USING clause in table joins?(Choose two.)
A. It can be used to restrict the number of columns used in a NATURAL join.
B. It can be used to join tables that have columns with the same name and compatible data types.
C. It can be used to join a maximum of three tables.
D. It can be used to access data from tables through equijoins as well as nonequijoins.
Answer: A,B
Explanation:
NATURAL JOIN operation
A NATURAL JOIN is a JOIN operation that creates an implicit join clause for you based on the common columns in the two tables being joined. Common columns are columns that have the same name in both tables.
If the SELECT statement in which the NATURAL JOIN operation appears has an asterisk (*) in the select list, the asterisk will be expanded to the following list of columns (in this order):
All the common columns
Every column in the first (left) table that is not a common column
Every column in the second (right) table that is not a common column
An asterisk qualified by a table name (for example, COUNTRIES.*) will be expanded to every column of that table that is not a common column.
If a common column is referenced without being qualified by a table name, the column reference points to the column in the first (left) table if the join is an INNER JOIN or a LEFT OUTER JOIN. If it is a RIGHT OUTER JOIN, unqualified references to a common column point to the column in the second (right) table.
Syntax TableExpression NATURAL [ { LEFT | RIGHT } [ OUTER ] | INNER ] JOIN { TableViewOrFunctionExpression |
( TableExpression ) }
Examples If the tables COUNTRIES and CITIES have two common columns named COUNTRY and COUNTRY_ISO_CODE, the following two SELECT statements are equivalent:
SELECT * FROM COUNTRIES NATURAL JOIN CITIES SELECT * FROM COUNTRIES JOIN CITIES USING (COUNTRY, COUNTRY_ISO_CODE)