Free Microsoft AI-102 Exam Dumps Questions & Answers

You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-3.5 Turbo model named Model1.
You configure Model1 to use the following system message: " You are an Al assistant that helps people solve mathematical puzzles. Explain your answers as if the request is by a 4-year-old. " Which type of prompt engineering technique is this an example of?

• A.few-shot learning
• B.affordance
• C.priming
• D.chain of thought

You are developing a text processing solution.
You have the function shown below.

Correct Answer:

Explanation:
The output will include the following words: our and included. # No
The output will include the following words: Paris, Eiffel, and Tower. # Yes The function will output all the key phrases from the input string to the console. # No Comprehensive Detailed Explanation Let's examine the function:
static void GetKeyWords ( TextAnalyticsClient textAnalyticsClient, string text)
{
var response = textAnalyticsClient.RecognizeEntities(text);
Console.WriteLine( " Key words: " );
foreach (CategorizedEntity entity in response.Value)
{
Console.WriteLine( $ " {entity.Text} " );
}
}
The function uses RecognizeEntities from the Azure Text Analytics SDK.
RecognizeEntities detects and categorizes named entities in text (such as locations, people, organizations, dates, etc.).
It does not extract all words or key phrases.
For extracting key phrases, you would use ExtractKeyPhrases , not RecognizeEntities .
Evaluating the statements:
" The output will include the following words: our and included. "
These are common words, not entities. They will not appear.
The answer: No
" The output will include the following words: Paris, Eiffel, and Tower. " These are named entities (location, landmark). They will be recognized and returned.
The answer: Yes
" The function will output all the key phrases from the input string to the console. " No. The function extracts entities, not key phrases. Key phrases would require ExtractKeyPhrases .
The answer: No

Select the answer that correctly completes the sentence.

Correct Answer:

Explanation:

The statement is:
" In an infrastructure as a service (IaaS) instance of Microsoft SQL Server on Azure, you manage the ______ that hosts SQL Server. " Options:
Elastic pool # A PaaS concept in Azure SQL Database (used to share resources across multiple databases).
Not IaaS.
MySQL server # Refers to Azure Database for MySQL (PaaS). Not related to SQL Server on IaaS.
PostgreSQL server # Refers to Azure Database for PostgreSQL (PaaS). Not related to SQL Server on IaaS.
Virtual machine # In IaaS, SQL Server is installed on an Azure VM. You manage the VM (OS, patches, SQL installation, backups, etc.). # Thus, for IaaS, you are responsible for managing the virtual machine that hosts SQL Server.
The answer: virtual machine
Microsoft References
SQL Server on Azure Virtual Machines overview
Compare Azure SQL Database (PaaS) vs SQL Server on VMs (IaaS)

You have an Azure subscription that contains an Azure OpenAI resource named AH.
You build a chatbot that will use AI1 to provide generative answers to specific questions.
You need to ensure that the responses are more creative and less deterministic.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

To generate less deterministic and more creative responses with Azure OpenAI chat completions, increase the Temperature setting. Temperature controls sampling randomness: higher values (e.g., ~0.8-1.0) yield more diverse/creative outputs; lower values (~0-0.2) are more deterministic.
The message being sent in the Messages collection is the user's prompt, so the correct role is ChatRole.User .
The role does not control creativity; it only tells the model who authored the message (system/assistant/user
/function). Creativity is governed by parameters such as Temperature (and, to a lesser extent, TopP ).
PresencePenalty biases against repeating seen tokens/topics but does not primarily increase creativity in the intended way.
So the code should look like:
new ChatCompletionsOptions()
{
Messages =
{
new ChatMessage(ChatRole.User, @ " < user prompt here > " ),
},
Temperature = ( float ) 1.0 ,
MaxTokens = 800 ,
};
Microsoft Azure AI Solution References
Azure OpenAI Service - Chat Completions parameters (Temperature controls randomness/creativity; higher = more diverse results).
Azure OpenAI Service - Message roles in chat ( system , user , assistant , function ) and their purposes.
Azure OpenAI Service - Presence/Frequency penalties vs. Temperature (penalties reduce repetition; temperature changes creativity).

What is a primary characteristic of a relational database?

• A.a flexible data structure
• B.a lack of dependencies between tables
• C.data is queried and manipulated by using a variant of the SOL language
• D.a large amount of duplicate data