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NEW QUESTION: 1
Which of the following is not a hygiene agent according to Frederick Herzberg theory?
A. The chance to excel
B. A paycheck
C. Job security
D. Clean and safe working conditions
Answer: A
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
You are the help desk technician for a local real estate firm that uses Microsoft Exchange Online.
A former employee is sending unwanted emails to employees within the firm.
You need to prevent this employee from sending emails to anyone at the firm.
What should you do?
A. Configure a message trace.
B. Create a transport rule.
C. Create a content filter policy.
D. Create a malware filter policy.
Answer: B
Explanation:
Explanation
You can use Exchange transport rules to look for specific conditions in messages that pass through your organization and take action on them. Transport rules are similar to the Inbox rules that are available in many email clients. The main difference between transport rules and rules you would set up in a client application such as Outlook is that transport rules take action on messages while they're in transit as opposed to after the message is delivered. Transport rules also contain a richer set of conditions, exceptions, and actions, which provides you with the flexibility to implement many types of messaging policies.
NEW QUESTION: 3
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
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