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NEW QUESTION: 1
Which of the following could be considered typical users of a mainframe computer?
A. A school
B. A bank
C. A small business
D. A doctor's surgery
Answer: B
NEW QUESTION: 2
If an employer ignores stress in employees what symptom are employees likely to develop?
A. Turnover
B. Tumors
C. Burnout
D. De-motivation
Answer: C
NEW QUESTION: 3
Your company has several Windows 10 devices that are enrolled in Microsoft Inline.
You deploy a new computer named Computer1 that runs Windows 10 and is in a workgroup.
You need to enroll Computer1 in Intune.
Solution: You install the Company Portal app on Computer1 and use the Devices tab from the app.
Does this meet the goal?
A. Yes
B. No
Answer: A
NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 85 : In Continuation of previous question, please accomplish following activities.
1. Select all the columns from product table with output header as below. productID AS ID code AS Code name AS Description price AS 'Unit Price'
2. Select code and name both separated by ' -' and header name should be Product
Description'.
3. Select all distinct prices.
4 . Select distinct price and name combination.
5 . Select all price data sorted by both code and productID combination.
6 . count number of products.
7 . Count number of products for each code.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select all the columns from product table with output header as below. productID
AS ID code AS Code name AS Description price AS "Unit Price'
val results = sqlContext.sql(......SELECT productID AS ID, code AS Code, name AS
Description, price AS Unit Price' FROM products ORDER BY ID"""
results.show()
Step 2 : Select code and name both separated by ' -' and header name should be "Product
Description.
val results = sqlContext.sql(......SELECT CONCAT(code,' -', name) AS Product Description, price FROM products""" ) results.showQ
Step 3 : Select all distinct prices.
val results = sqlContext.sql(......SELECT DISTINCT price AS Distinct Price" FROM products......) results.show()
Step 4 : Select distinct price and name combination.
val results = sqlContext.sql(......SELECT DISTINCT price, name FROM products""" ) results. showQ
Step 5 : Select all price data sorted by both code and productID combination.
val results = sqlContext.sql('.....SELECT' FROM products ORDER BY code, productID'.....) results.show()
Step 6 : count number of products.
val results = sqlContext.sql(......SELECT COUNT(') AS 'Count' FROM products......) results.show()
Step 7 : Count number of products for each code.
val results = sqlContext.sql(......SELECT code, COUNT('} FROM products GROUP BY code......) results. showQ val results = sqlContext.sql(......SELECT code, COUNT('} AS count FROM products
GROUP BY code ORDER BY count DESC......)
results. showQ