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NEW QUESTION: 1
What reference value must already exist in SuccessFactors Learning to ensure that user records that contain this value will be accepted?
Please choose the correct answer.
Response:
A. Country ID
B. Hire date
C. Job code ID
D. Organization ID
Answer: A

NEW QUESTION: 2
Which three actions should a consultant recommend to provide alignment between a new formal sales methodology and Salesforce? Choose 3 answers
A. Override Salesforce user interface with the sales methodology user interface.
B. Embed Lightning components within Salesforce to support the sales methodology
C. Configure Salesforce standard and custom objects to support the sales methodology
D. Consider available sales methodology AppExchange applications
E. Develop a data integration between Salesforce and the sales methodology database
Answer: B,C,D

NEW QUESTION: 3
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

NEW QUESTION: 4
Sie müssen Azure Cosmos DB konfigurieren.
Welche Einstellungen sollten Sie verwenden? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Explanation

Box 1: Strong
When the consistency level is set to strong, the staleness window is equivalent to zero, and the clients are
guaranteed to read the latest committed value of the write operation.
Scenario: Changes to the Order data must reflect immediately across all partitions. All reads to the Order data
must fetch the most recent writes.
Note: You can choose from five well-defined models on the consistency spectrum. From strongest to weakest,
the models are: Strong, Bounded staleness, Session, Consistent prefix, Eventual
Box 2: SQL
Scenario: You identify the following requirements for data management and manipulation:
Order data is stored as nonrelational JSON and must be queried using Structured Query Language (SQL).