शैडोइंग अभ्यास: AI-102 EXAM QUESTIONS 2026 MICROSOFT AZURE AI 102 CERTIFICATION COURSE PART-1 - वीडियो के साथ अंग्रेजी बोलना सीखें

Hello everyone, welcome back to my channel.

Thank you so much for your support on AI 900 series.

And we are back with AI 102 practice question series.

So in this series,

we are going to do lots of practice question specifically from the point of view of AI 102 associate,

AI associate exam.

So this is a very important exam.

Actually, this is the like a biggest exam from Azure side for AI perspective.

So without any further delay, let's get started.

So first question is which computer vision client library used to analyze image description.

So this question also like clears many things even if you don't know if you are coming as a beginner.

This I am going to explain everything from the very starting

and this exam is also like anybody from beginner point of view also can do it.

So I strictly suggest you go with our videos

and I'm 100% confident that you will be able to crack the exam if you follow all these videos strictly.

So you can see like Computer Vision Client Library is used to analyze image description.

But you don't know like which Computer Vision Library but it is now just reading question.

It should be clear in your mind that computer vision is used to analyze image description.

Okay.

So which client library we are going to utilize.

So if you see the option visual features types,

so all have that visual features type and then it has dot description dot tags dot categories dot colors.

So I can easily even if I don't know anything about this exam,

I can easily guess.

Okay.

Yes, this would be description.

it is currently matching if you know like simple english

because some questions are definitely going to be so simple that

if you know like english well then you are able to easily make sure get the answer okay

so here i can see it is visual features drive dot description okay

but in this video i am going to like not only

just just going through the practice question i am going to explain you a more bit about it

so you will get a proper understanding about azure how azure ai works

because that is also very important okay so i just selected it

and it seems out it's correct

but here you need to understand like in exam what they will do they will throw you some code okay

and they will put in that code they will put it

and they will ask okay what does this code is doing

so now you know this is used to analyze image description okay

so this way you need to understand think into other way like uh these questions

if you understand the concept then it will be

if it comes in any type of manner it will be

easier for you to understand why the they sometimes code c sharp code as well

because microsoftizers generally throw code in c sharp and

because it's its own their language and they sometimes throw code in python as well

so if i just can give you an example

because this is a like important question i have seen this in real life exam

and talk with other students as well so what you have to do first

if you want to utilize

if you want to do analyze some image description what you have to do you just go here

and like this code is in python

so you can just import the computer vision client from this

azure cognitive services vision dot computer vision then you import the visual features type and just credential then you just

enter your key and region you enter your credential

and i have stored my computer vision client endpoint

and pass the credential

and stored in this client variable then to analyze it what

will i do i just do analyze dot analyze underscore image client dot analyze underscore image

and what do i want to analyze i will provide into

this visual features okay i want to analyze uh something i

want to get the text then i will provide visual feature types dot tags

or similarly for description i will provide visual features type dot description okay

so this way you can like analyze based on what you want okay

if i want to get the tags so i can do it

and here i am printing all those tags

which after analysis model feel okay these tags can be attached with this image

or representing that image after it's done with the image analysis okay

so now you know how to do the image analysis

and how to pass like particular features just like tags or description

and we will we are going to discuss more through our question in next.

So I hope this question will be clear to you.

Our next question is which computer vision client library used to analyze image tags.

So now we instantly know.

Okay, so it is visual features type dot tags.

So I created it and here I provided the link also.

You can check it out,

you can just copy it or take a screenshot out of all these questions and do it yourself.

Now how to read a file from a local file system.

You want to read from a local,

like it's not like a link is somewhere and you want to read

that from a local file system you want to read.

So it's file.openread, local file.read,

read file.local, local read.open file.

sometimes as i said like code would be generally in two languages python

or c sharp

so here it is asking from the c sharp as i can see from the option

so it is for your understanding in questions also they like they throw you some code okay

and they will ask okay is this code is reading something from local file system

and if you don't know okay like which like

which library basically you utilize to read from local system then it will be difficult for you

so the here the option you will be file dot open read okay

so it basically opens an existing file for reading it's a

system io uh like basically string you have to pass okay then

which azure service is best suited for analyzing visual content in image

and videos to categorize content okay

so it is asking uh like to analyze visual content in images

and so you want to analyze visually

so let's see the option azure ai vision it's look like

uh this can be an option azure cosmo db it's a database

100

so like it it can store but i don't know

101

if can like analyze

102

or something i'm just thinking from a very basic like how you need to like filter out the option

103

so this is definitely not in my list Then Azure cognitive search,

104

can it do analysis?

105

Maybe might be, but it's a look like a search service.

106

Then there is a Azure function.

107

So like as my more focus is Azure AI vision

108

and like I know for like you should be aware like to do anything related to visual content.

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Like if you want to analyze something visually through live cameras,

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images, or like any live feed is coming then you have to use azure ai vision service okay

111

so this is a very like self explanatory options like another question is

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which of the following best describe the prediction made by machine learning model okay

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so here question is asking which of these option is best describing

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so remember whenever you are giving any certification exam there might be any chances

115

that all options are correct but you have to choose the best one okay which is the best describing your answer

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okay so it is asking what is the like

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if a prediction is made by machine learning model so

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which statement is like representing the predictions okay what does it mean by predictions in simple language

119

so is it probabilistic values based on correlation found in training data or or randomly selected values with equal chance of selection.

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So definitely like it's not a randomly selected value.

121

Okay, right.

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So this is definitely going to be not my answer.

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Absolutely correct values based on conditional logic.

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So we know like machine learning sometimes can give you wrong answers also.

125

So it is not definitely absolutely correct and like conditional loading

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because machine learning models basically rely on training data

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so like a1 is the best suited answer for me

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and it's basically represent probability that's why we see like

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when it gives you like and matching suppose

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if we take an image example it will show it is matching 99 98

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or maybe in terms of confidence score which lies between 0 to 1.

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1 means it is best matching so it says like

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if this image is matching one with confidence score one with banana

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that means it is 100 percent matching and

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if it is saying confidence score zero

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that it is not at all matching it is like machine

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learning model is 100 sure it is not banana okay

138

so it basically relies on the correlation found in the training data

139

and gives us a probabilistic probabilistic values okay so of course a is is going to be correct.

140

And as we discussed, like machine learning models are trained using uh historic data

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and they rely on the algorithms to find the like statical relationship in the data

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and yes prediction as we talked it relies on the like probability

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and like they are generally accurate but they are based on the confidence store

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which basically as i said it basically a level of probability

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but in machine learning terms okay now next question is to enhance security

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which of the following steps should be taken to protect account keys for azure ai services okay

147

so now you want to secure account keys for azure ai service okay

148

so where do you store your account keys you store keys in plain text file on server

149

so definitely by reading it i can say you should not store any type of credential

150

or secrets into a plain text file

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that is definitely not going to be my answer then store

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account keys in public repository definitely not you don't want to publicize your account keys

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and because you want to secure it the question is asking things

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and you want to enhance the security next is store account keys in environment variable

155

so that is also not sure because

156

that can be read by others as well or they just write up

157

if they read like they type as some commands to read the environment variable

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and it will be visible for me

159

so definitely i don't want to do it last option is store keys in azure key vault

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which is the definitely right choice

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so azure key vault is the basically a cloud service for secondly storing

162

and accessing secrets just like here we want to protect the account keys

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or anything you want to secure it we utilize azure key vault in azure

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if you want to any secure anything just like api keys password certificates

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or cryptographic keys

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and it also like i provide some additional information here you

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can read it from the like screen basically just more about the key vault okay

168

so this way you can utilize our question

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and that's why i want to give more value in less time

170

so i want to move to the next question

171

so you want to index a collection of text documents

172

and search them from mobile application okay so you basically want to index

173

so you can would be easily able to search it

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and it's a collection of text document and you want to search them using a mobile application

175

which services you should use to create the index you need to understand the two important keywords one is index

176

and one is search basically you want to index it

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and search them for mobile application so basically this is and

178

which service you want to create the index okay

179

so this is the like main lines you need to remember from the question

180

so azure ai service azure open ai service azure ai search

181

and azure ai index service so index service like

182

but there is no such thing like azure ai index service okay

183

so this is just to confuse you okay and ai service

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and open ai service this is also like just to distract you uh

185

because they like we are not utilizing anything model we just have to create an index for it

186

so which is the perfect thing for the azure ai search

187

which is used to index document for the search purposes okay

188

so it will be helpful

189

when you search it you will get uh like major ai search will be helped to index make the index and

190

so you can search faster okay a data scientist has used

191

azure machine learning to train a machine learning model how can you use the model in your application okay

192

so you have already used assure machine learning

193

and you have trained the model using that service now you want to use

194

that model okay trained more like you already have a trained model you want to utilize it

195

so how you can do it

196

so first option is use assure machine learning to publish the model as a web service so

197

that you need to know like azure machine learning can train

198

the model as well as well as it can publish the model

199

if you don't know it then you might get confused so like this probably is my

200

going to be answer let's read other options as well so

201

if you see one answer don't go with it just read all option

202

because as i said you have to choose the best option maybe it is correct

203

but other option maybe might more correct okay then you have

204

to export the model as an azure ai service i don't think there is a need for

205

that and you must build your application using the Azure Machine Learning Designer.

206

So that is definitely not an like compulsion format.

207

So I'm going to choose A.

208

So yes, definitely this was the answer

209

and you have after publishing the as it as a web

210

service you can consume it using your application through its rest interface

211

so that is also additional information i have already provided you

212

so you just publish it as a web service and then consume using rest interface or ace apis okay

213

okay next question is when configuring diagnostic logging for azure ai services

214

which of the below actions are necessary define metrics to be collected define diagnostic settings

215

and configure log destination definitely

216

when we set up diagnostic logging you have to just enable the settings

217

and you just provide okay where you want to like put your logs

218

and there will be like multiple options available

219

so definitely this is going to be my choice

220

and last option is setup data export schedule

221

so definitely b is my option and you just have to enable the diagnostic settings

222

and like you have to select the types of the log

223

okay apart from this log destination in the diagnostic setting you

224

have to like choose what type of logs you want to collect okay is it performance metrics service specific metric

225

or resource specific uh logs what type of log you want

226

and you can choose the destination like azure monitor logs azure event hubs or azure storage for different purposes okay

227

so like you have to configure the log destination last question is you built a board by using the

228

so this is last question for this video i will make like more

229

and more videos whatever is specific necessary for particularly for ai 102 exam

230

so we are going to do a lot of questions

231

and i am 100 sure all the questions are definitely going to help you

232

and we will not repeat any question i will definitely try

233

that that not a single question got repeated but

234

and please let me know like how the session is going

235

and how you guys are enjoying the video or not and

236

so we will continue doing it and we will do like hundreds of questions okay

237

so let's do last question of this session you built a bot by using microsoft bot framework sdk

238

and start it on local computer okay

239

so you already built a bot using a microsoft board framework sdk

240

so you now you know like to build a bot you can utilize microsoft board framework sd

241

so always try to learn from questions as well okay

242

and you started it on local computer okay now you now

243

want to validate the functionality of the board okay you want

244

to basically test it what should you do before you connect

245

to the board okay how you can um like before you connected how you can basically validate the functionality

246

so you run the board framework emulator you run the board framework composer

247

or you register the boat with the azure board service

248

or you run the windows terminal so definitely

249

if you want to like we know from real world also we want to basically emulate it

250

so the best service and it is a very powerful service like bot framework emulator

251

so my answer is going to be that

252

and yes it's like correct answer which allow us to test

253

and debug your bot locally so here

254

because it is you started in local computer

255

and you want to test locally then definitely you are going to utilize both framework accumulator

256

so here in the keyword is like it's made using board framework sdk

257

and it started on a local computer and you want to test the functionality

258

or debug basically so for

259

that board framework accumulator is the correct choice even like you may like by seeing the exam

260

some may think okay some questions are like feel outdated or this is not considered into

261

scope of exam but i am going to like we are going to cover every single question

262

which is important for this exam we are not going to

263

miss anything we want like good score as well okay

264

and we are going to cover anything

265

because not all the questions like same some questions you are

266

definitely going to miss an exam it's not like you are going to know everything

267

and you are going like a full out of full score okay

268

so we have to like read all aspect of this ei

269

102 exam okay we are not going to miss anything

270

so i hope you enjoy this video i hope you sincerely prepare for ai 102 exam

271

and i wish you all the best for uh your ai 102 exam

272

and we are going to continue it with the lots of question

273

and if you have any suggestion

274

or feedback for me please let me know in the comment

275

section make sure you subscribe the channel for the upcoming videos

276

and like this video and share with your juniors and colleagues see you guys in the next one bye

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग अभ्यास: AI-102 EXAM QUESTIONS 2026 MICROSOFT AZURE AI 102 CERTIFICATION COURSE PART-1 - वीडियो के साथ अंग्रेजी बोलना सीखें

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