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The AI-102 Certification Exam is a great way for individuals to demonstrate their expertise in designing and implementing AI solutions on the Microsoft Azure platform. AI-102 exam consists of several topics, including the fundamentals of AI and machine learning, data preparation, model development and deployment, and monitoring and optimization. Candidates are required to have a deep understanding of each of these topics to pass the exam.
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The Microsoft AI-102 Exam covers various topics related to AI solution development, including designing and implementing AI workflows, creating natural language processing solutions, leveraging computer vision techniques, and implementing machine learning models. It also tests the candidate's ability to work with Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Databricks.
NEW QUESTION # 204
You have 100 chatbots that each has its own Language Understanding model.
Frequently, you must add the same phrases to each model.
You need to programmatically update the Language Understanding models to include the new phrases.
How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: AddPhraseListAsync
Example: Add phraselist feature
var phraselistId = await client.Features.AddPhraseListAsync(appId, versionId, new PhraselistCreateObject
{
EnabledForAllModels = false,
IsExchangeable = true,
Name = "QuantityPhraselist",
Phrases = "few,more,extra"
});
Box 2: PhraselistCreateObject
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api
NEW QUESTION # 205
You have a chatbot.
You need to test the bot by using the Bot Framework Emulator. The solution must ensure that you are prompted for credentials when you sign in to the bot.
Which three settings should you configure? To answer, select the appropriate settings in the answer area.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
D:\mudassar\Untitled.jpg
NEW QUESTION # 206
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
In SQL, DML (Data Manipulation Language) statements include SELECT, INSERT, UPDATE, and DELETE. Often, you need to filter which rows are affected or returned. That filtering is done with the WHERE clause.
Let's review the options:
* ALTER
* Used in Data Definition Language (DDL), not DML.
* Alters the structure of a database object (e.g., add/remove columns, modify constraints).
* Not used to filter rows.
* ON
* Used in JOIN operations to specify the relationship between tables.
* Does not specify row-level filtering criteria in general DML.
* SET
* Used in the UPDATE statement to assign new values to columns.
* Does not specify which rows to update.
* WHERE
* Used in DML statements to specify criteria for rows that must match.
* Examples:
* SELECT * FROM Customers WHERE Country = 'USA';
* DELETE FROM Orders WHERE OrderDate < '2020-01-01';
* UPDATE Products SET Price = Price * 1.1 WHERE CategoryID = 5;
Thus, the correct clause is WHERE.
The answer: WHERE
* SQL WHERE clause
* SQL UPDATE with WHERE
* SQL DELETE with WHERE
NEW QUESTION # 207
You are building a Chatbot by using the Microsoft Bot Framework SDK. The bot will be used to accept food orders from customers and allow the customers to customize each food item. You need to configure the bot to ask the user for additional input based on the type of item ordered. The solution must minimize development effort. Which two types of dialogs should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,B
NEW QUESTION # 208
You are building a chatbot.
You need to configure the chatbot to query a knowledge base.
Which dialog class should you use?
Answer: B
Explanation:
* If a chatbot must query a knowledge base (KB), the Bot Framework uses QnAMakerDialog (inherited into Azure Cognitive Service for Language's Question Answering).
* AdaptiveDialog manages complex dialog flows but not specifically KB querying.
* ComponentDialog organizes dialogs, but again, not specific for knowledge bases.
* SkillDialog is used when invoking another bot (skill), not for KB queries.
The answer: B. QnAMakerDialog
Reference: Use QnAMakerDialog in Bot Framework
NEW QUESTION # 209
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