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NEW QUESTION: 1
What Cisco CE520 feature optimizes quality of service?
A. Cisco Network Admission Control
B. Cisco Smart Assist
C. Cisco Configuration Assistant
D. Cisco Smartports
Answer: D
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
You are working on an online transaction processing (OLTP) system. You detected free buffer waits events for your database instance running in a machine that has multiple CPUs. You
increased the database buffer cache size as the first step. After a few hours of work on the database, further investigation shows that the same event is being recorded. What would be your next step to avoid this event in future?
A. Increase the value of the DB_FILE_MULTIBLOCK_READ_COUNT parameter.
B. Set the USE_INDIRECT_DATA_BUFFERS parameter to TRUE.
C. Increase the value of the DB_WRITER_PROCESSES parameter.
D. Decrease the value of the DBWR_IO_SLAVES parameter.
Answer: C
NEW QUESTION: 3
On morning rounds, the nurse found a manic-depressive client who is taking lithium in a confused mental state, vomiting, twitching, and exhibiting a coarse hand tremor. Which one of the following nursing actions is essential at this time?
A. Place her on NPO to decrease the excretion of lithium from her body, and call the physician.
B. Withhold her lithium, and report her symptoms to the physician.
C. Administer her next dosage of lithium, and then call the physician.
D. Contact the lab and request a lithium level in 30 minutes, and call the physician.
Answer: B
Explanation:
(A) The client has lithium toxicity, and the nurse must withhold further dosages. (B) Because of her level of toxicity, further lithium could cause coma and death. The nurse needs further orders from the physician to stabilize the client's lithium level. (C) Ensuring adequate intake of sodium chloride will promote excretion of lithium and will assist in managing the client's lithiumtoxicity. (D) A lithium blood level must be drawn immediately to determine the seriousness of the toxicity and to provide the physician with data for medical orders.
NEW QUESTION: 4
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()
