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NEW QUESTION: 1
You have a Cisco UCS C-Series Server. What can you use to log the blade server statistics?
A. the Cisco Integrated Management Controller log
B. LDAP
C. the XML API
D. RADIUS
Answer: A
Explanation:
Reference: http://www.cisco.com/c/en/us/products/collateral/servers-unified-computing/ucs- cseries-rack-servers/datasheet-c78-733571.html

NEW QUESTION: 2
CORRECT TEXT
You have a table named Cities that has the following two columns: CityID and CityName.
The CityID column uses the int data type, and CityName uses nvarchar(max).
You have a table named RawSurvey. Each row includes an identifier for a question and the number of persons that responded to that question from each of four cities. The table contains the following representative data:

A reporting table named SurveyReport has the following columns: CityID, QuestionID, and RawCount, where RawCount is the value from the RawSurvey table.
You need to write a Transact-SQL query to meet the following requirements:
* Retrieve data from the RawSurvey table in the format of the SurveyReport table.
* The CityID must contain the CityID of the city that was surveyed.
* The order of cities in all SELECT queries must match the order in the RawSurvey table.
* The order of cities in all IN statements must match the order in the RawSurvey table.
Construct the query using the following guidelines:
* Use one-part names to reference tables and columns, except where not possible.
* ALL SELECT statements must specify columns.
* Do not use column or table aliases, except those provided.
* Do not surround object names with square brackets.

Part of the correct Transact-SQL has been provided in the answer area below. Enter the code in the answer area that resolves the problem and meets the stated goals or requirements. You can add code within the code that has been provided as well as below it.

Use the Check Syntax button to verify your work. Any syntax or spelling errors will be reported by line and character position.
Answer:
Explanation:
Please see explanation for answer.
Explanation:
1 SELECT Rawcount
2 from (select cityid,questioned,rawcount) AS t1
3 unpivot
4 (rawcount for questioned in (QuestionID)) AS t2
5 JOIN t2
6. ON t1.CityName = t2.cityName
UNPIVOT must be used to rotate columns of the Rawsurvey table into column values.
References: https://technet.microsoft.com/en-us/library/ms177410(v=sql.105).aspx

NEW QUESTION: 3
A company's product was approved by a regulatory authority with the condition that further studies must be completed prior to full approval of the product.
To minimize product-associated risk to patients during the period of conditional approval, what is the LEAST effective way to achieve this goal?
A. Promote off-label use to a carefully selected patient population.
B. Educate patients and healthcare providers on how to use the product
C. Delay product launch until required studies are completed.
D. Label the product for use in appropriate populations.
Answer: A

NEW QUESTION: 4
You plan to create a bot that will support five languages. The bot will be used by users located in three different countries. The bot will answer common customer questions. The bot will use Language Understanding (LUIS) to identify which skill to use and to detect the language of the customer.
You need to identify the minimum number of Azure resources that must be created for the planned bot.
How many QnA Maker, LUIS and Language Detection instances should you create? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection