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NEW QUESTION: 1
Which two features are required to implement a Layer 3 VXLAN gateway on the Cisco Nexus 5600 Series platform? (Choose two.)
A. feature vn-segment-vlan-based
B. feature nv overlay
C. feature mpls
D. feature lldp
E. feature eigrp
Answer: A,B
Explanation:
Explanation
https://www.cisco.com/c/en/us/td/docs/switches/datacenter/nexus5600/sw/layer2/7x/b_5600_Layer2_Config_7x

NEW QUESTION: 2
CORRECT TEXT
Problem Scenario 86 : In Continuation of previous question, please accomplish following activities.
1 . Select Maximum, minimum, average , Standard Deviation, and total quantity.
2 . Select minimum and maximum price for each product code.
3. Select Maximum, minimum, average , Standard Deviation, and total quantity for each product code, hwoever make sure Average and Standard deviation will have maximum two decimal values.
4. Select all the product code and average price only where product count is more than or equal to 3.
5. Select maximum, minimum , average and total of all the products for each code. Also produce the same across all the products.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select Maximum, minimum, average , Standard Deviation, and total quantity.
val results = sqlContext.sql('.....SELECT MAX(price) AS MAX , MIN(price) AS MIN ,
AVG(price) AS Average, STD(price) AS STD, SUM(quantity) AS total_products FROM products......) results. showQ
Step 2 : Select minimum and maximum price for each product code.
val results = sqlContext.sql(......SELECT code, MAX(price) AS Highest Price', MIN(price)
AS Lowest Price'
FROM products GROUP BY code......)
results. showQ
Step 3 : Select Maximum, minimum, average , Standard Deviation, and total quantity for each product code, hwoever make sure Average and Standard deviation will have maximum two decimal values.
val results = sqlContext.sql(......SELECT code, MAX(price), MIN(price),
CAST(AVG(price} AS DECIMAL(7,2)) AS Average', CAST(STD(price) AS DECIMAL(7,2))
AS 'Std Dev\ SUM(quantity) FROM products
GROUP BY code......)
results. showQ
Step 4 : Select all the product code and average price only where product count is more than or equal to 3.
val results = sqlContext.sql(......SELECT code AS Product Code',
COUNTf) AS Count',
CAST(AVG(price) AS DECIMAL(7,2)) AS Average' FROM products GROUP BY code
HAVING Count >=3"M") results. showQ
Step 5 : Select maximum, minimum , average and total of all the products for each code.
Also produce the same across all the products.
val results = sqlContext.sql( """SELECT
code,
MAX(price),
MIN(pnce),
CAST(AVG(price) AS DECIMAL(7,2)) AS Average',
SUM(quantity)-
FROM products
GROUP BY code
WITH ROLLUP""" )
results. show()

NEW QUESTION: 3
あなたのデータベースは、プロダクトとProductsPriceLogという名前のテーブルを含みます。プロダクト・テーブルは、ProductCodeとプライスという名のカラムを含んでいます。 ProductsPriceLogテーブルは、ProductCode、OldPriceとNewPriceという名前のコラムを含みます。ProductsPriceLogテーブルはOldPriceカラムに前の価格を格納し、NewPriceカラムに新しい価格を格納します。
あなたは5％のProductsテーブル内のすべての製品の価格の列の値を増やす必要があります。またProductsPriceLogテーブルへの変更を記録する必要があります。どのTransact-SQLクエリを使うべきでしょうか。
A. UPDATE Products SET Price = Price * 1.05 INSERT INTO ProductsPriceLog(ProductCode, OldPrice, NewPrice) SELECT ProductCode, Price, Price * 1.05 FROM Products
B. UPDATE Products SET Price = Price * 1.05 OUTPUT inserted.ProductCode, deleted.Price, inserted.Price INTO ProductsPriceLog(ProductCode, OldPrice, NewPrice)
C. UPDATE Products SET Price = Price * 1.05 OUTPUT inserted.ProductCode, inserted.Price, deleted.Price INTO ProductsPriceLog(ProductCode, OldPrice, NewPrice)
D. UPDATE Products SET Price = Price * 1.05 OUTPUT inserted.ProductCode, deleted.Price, inserted.Price * 1.05 INTO ProductsPriceLog(ProductCode, OldPrice, NewPrice)
Answer: B