Shadowing Practice: Solving Easy SQL Interview Questions on Analyst Builder - Learn English Speaking with Video

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205 משפטים

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What's going on, everybody?

Welcome back to another video.

Today, we are going to be solving easy SQL technical interview questions.

Now, when I was interviewing for data analyst positions, I almost always got some type of technical interview.

And the vast majority of the technical interviews that I got were in SQL.

Not only that, but I was also on a hiring team and later as a hiring manager,

I almost always conducted some type of SQL technical interview.

Now, why do hiring managers conduct these interviews.

It's because they want to make sure that you actually know the skill

because you can just put SQL on your resume and not actually know it at all.

And then when they hire you, they have to spend two,

three, four months training you on the basics of SQL for you to actually understand it and use it.

That is not what any hiring manager wants.

And so that's why they conduct these SQL technical interviews.

So in this series, we're going to start with easy questions.

That'll be in today's video.

Then we'll go on to medium, hard, and then very hard SQL technical interview questions.

So without further ado, let's jump onto my screen and take a look at the easy SQL interview questions.

We're gonna be practicing these questions on analystbuilder .com.

And if we come right over here, we can filter to the free questions and we can filter to the easy questions.

These are all the free and easy questions that you can go and take right now.

I will leave a link in the description.

I will also leave a link to the two questions that we're gonna be looking at today,

but go ahead and check out this if you wanna try out all of these different questions.

There's also different difficulties.

So we're gonna be working through the moderate it and the hard ones in future videos.

And then we'll also be looking at the very difficult ones in the very last video in this series.

But let's go ahead and get rid of this because we're going to go over to our very first question.

Now, really quickly, I just want to show you the interface before we actually dive into the question.

Now, we're going to be solving this in MySQL, but you can also practice in PostgreSQL and Microsoft SQL Server,

whichever one you have an interview coming up for.

If that company uses

Microsoft SQL Server, come in here and use

Microsoft SQL Server.

And we also have

Python as well.

But we're going to be doing this in MySQL.

This is where we'll write our actual SQL code.

Then we have the prompt.

Now in an interview, typically they're going to give you some type of prompt and then the data.

They're going to ask you to do something with the data.

And our data is right down here.

So this is our data.

Now this is a practicing platform, right?

To practice for technical interview questions or practice for your technical interviews.

So we also have hints and expected output, as well as a video explanation walking through this question, showing you exactly how to do it.

But if you can't get it at all, you can always come in here and look at the solution for any of these.

But let's go ahead and start this question.

The question is called car failure.

It says, cars need to be inspected every year in order to pass inspection and be street legal.

If a car has any critical issues, it will fail inspection or if it has more than three minor issues, it will also fail.

Write a query to identify the cars that passed inspection.

Outputs should include the owner name and vehicle name ordered by the owner name alphabetically.

Now, let's go take a look at this data.

So we have the owner name, vehicle name, minor issues, critical issues, and that's all we have.

So it's just a simple one.

Again, this is an easy question, at least on Analyst Builder and

so let's try to solve this without any of the hints

or looking at the expected output because I think we can solve this one.

Now, the first thing that we need to take into consideration is we're going to need to be filtering.

So we'll need to filter down some data.

So if a car has any critical issues, it'll fail.

So if critical issues is one, two, three, it's going to fail.

So it can't have no critical issues

and they'll say and cause even though this says

or right here it doesn't mean one or the other it means

if it has this or it has this it fails

so we actually need an and here so both conditions need to be met or more than three minor issues

so you can't have either of those

now in our output for what we're going to get down here we need to have just two things

We just need the owner name and vehicle name.

So let's put that owner name and vehicle name.

And then lastly, we just have to order by the owner name.

And that's going to be ascending, ASC.

Ascending is just A to Z.

So I think we can go ahead and start writing this out because I think that's all we need to do.

Now let's go ahead and run this.

And so we have our data right down here.

Now here's what we need to do.

We are trying to identify cars that passed the inspection.

So we need to filter out the ones that had a critical issue or that had three or more minor issues.

So what we're gonna do is we're gonna come right over here.

And the first one we'll do is critical issues.

So we're gonna say where critical underscore issues.

And we need to say it's equal to zero.

And let's run this.

And it looks like I had a space here.

Let's run this again.

There we go.

So now, these are cars that have no critical issues.

So these ones are passing.

But if we just look at our data right down here, we have some that have four, four, five.

So we also have to say, and, and I'm going to copy this so I don't have another problem with that.

So, I'm going to say where it's less than or equal to, then I'm going to say 3.

So, if it has 3 or less, it should be in our output.

So, let's run this.

And I say greater than.

Let me do less than.

There we go.

100

And we can see that now the minor issues are all 3 or less.

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And let's just make sure.

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Or if it has more than 3.

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So, if it had 4 or 5, it should not be in our output it.

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So these has 320222 and this has 0000.

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So these are cars that should pass.

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Now right now we've been selecting everything, but what we really need to do is just select the columns that we need.

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That's going to be owner underscore name and vehicle.

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So let's run this.

109

And this looks really good.

110

And the last thing that we need to do is order by.

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So we need to order by the owner name.

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Let's get that owner name.

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And we need to do that in ascending.

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Now, by default, when you use order by to organize and sort a column, it automatically is in ascending,

115

but I like to at least put it there explicitly so I can see it.

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And this to me should be the correct answer.

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Now, what we need to do to check our answer

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and actually show if we got the answer right is just click this check answer button.

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We can also do control shift enter, but I'm going to click the check answer.

120

And there we go.

121

We got the solution correct.

122

So let's go ahead and come up here.

123

We're going to go to our next question.

124

This is another easy question on Analyst Builder.

125

Again, I'm going to leave a link in the description if you want to try out this exact question.

126

But let's take a look at this one.

127

This is called Apply Discount.

128

It says a computer store is offering a 25 % discount for all new customers over the age of 65

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or customers that spend more than $200 on their first purchase.

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The owner wants to know how many customers received that discount since they started the promotion.

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Write a query to see how many customers received that discount.

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Okay.

133

And let's go down and look at the data.

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So we have customer ID, we have their age, and then we have their total purchase.

135

And let's just see if there's any duplicates in this customer ID.

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It doesn't look like it.

137

It looks like they're all just one purchase.

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The reason I was looking at that is it says all new customers, and it looks like these are all new customers.

139

It doesn't look like there's any repeat customers that are old customers.

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So we're going to assume these are all new customers.

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If there was a multiple 1 ,001s, I would look for something like a transaction ID or a transaction date,

142

but those types of questions are usually a little bit more difficult in like the medium hard types of questions.

143

But let's go make some notes real quick.

144

So we have to filter on two different things.

145

They have to meet one of these criteria in order to be in the output.

146

They either have to be over the age of 65, so over 65, and let's do over 65,

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or they just have to meet one of these, or have spent more than 200, or spent more than 200.

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And that shouldn't be capitalized.

149

So that's what we need

150

And then the owner is just wanting to know

151

How many customers received that discount

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So we're going to do a count

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On the number of customers

154

That fit that filter I'll write it like that

155

So it's just going to be a number in our output

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This one should be I would say even a little bit

157

Simpler than the last one

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Because we're not having to filter

159

Or really do anything like that

160

Now let's run this

161

And let's come down here.

162

So we're gonna do a count eventually on this customer ID,

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but what we need to do is filter on both the age and the total purchase.

164

So let's write this out.

165

So age needs to be, and I need to write where, where age is greater than 65.

166

Now, I'm not saying greater than or equal to, because right here it says for new customers over the age of 65.

167

If it said age 65 or over, I would say greater than or equal to.

168

I want to be, these questions can be very specific.

169

And then we'll say and, or actually or, because it's either of these need to be true.

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Or the total purchase.

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And again, it says more than 200.

172

So we're going to say greater than 200.

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Now let's run this.

174

And let's just kind of look down here.

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There's a lot of people that fit this bill, it looks like.

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Yeah, the majority of people, that's great.

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So we're gonna give them a discount.

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These are people that received a discount.

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So all we're gonna do is account on this customer ID.

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So let's do account on customer ID.

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Let's run this, and our answer is 14.

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All we have to do is check this answer to make sure it is correct.

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So let's hit the check answer, and there we go your solution is correct.

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Now, one thing I will say about just technical interviews in general is oftentimes

185

they want to make sure you know how to write it, but even more so, they're really checking to make sure you understand how SQL works.

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So when I'm writing this out, if I'm in an actual interview, I would be talking this out loud to the interviewer who's interviewing me.

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I would say, okay, it looks like I need to filter on this

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and I need to do a count on these things.

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Now, you only would know how to do that if you know MySQL or if you know SQL, right?

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Again, they really wanna hear your thought process.

191

And so walking through it exactly how I did in the actual interview is exactly what the interviewer wants to hear.

192

Now, writing it correctly is still very important, especially as you get to the more difficult questions, right?

193

You want to know certain functions and certain ways to write things, but you should be talking all this out loud during your interview.

194

Now, one other really cool thing, I'm just going to show you this at the end is if I go over to my profile,

195

I'm actually earning points for these questions.

196

So right down here, I just earned a couple extra points towards my MySQL badge

197

and I can go all the way up to expert and then master as well.

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And so I am well on my way.

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And then in future videos, when we do the medium and the hard and then the very hard questions,

200

we earn even more points for those because they are more difficult and they go towards these badges.

201

So that is how we solve those easy SQL technical interview questions on Analyst Builder, go ahead and try those out.

202

There's tons of other free questions on the platform that you can just try out.

203

And there's lots of easy ones, but then we're also gonna be taking a look at medium, hard, and very hard in future lessons.

204

With that being said, I hope you enjoyed this video.

205

If you did, be sure to like and subscribe below, and I will see you in the next video.

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אוצר מילים והערות הגייה לשיעור הזה

שיעור הדיבור הזה מבוסס על הסרטון “Solving Easy SQL Interview Questions on Analyst Builder”. המילים שחוזרות הכי הרבה: customer, interview, Sql, issue, owner. בסרטון הזה יש 205 משפטים ו-2342 מילים לתרגול Shadowing. הדיבור נמשך 12:05. הדובר מדבר מהר, כ-194 מילים בדקה, אז צפו לצלילים מחוברים ומקוצרים. 90% מהמילים נמצאות בין 3,000 המילים הנפוצות ביותר באנגלית, כך שקל לעקוב אחרי אוצר המילים.

אוצר מילים מרכזי בסרטון הזה

15 מילים מהסרטון שכדאי ללמוד, עם ההגייה והמשמעות שלהן:

מילה	הגייה	משמעות
filter שם עצם	/ˈfɪltɚ/	מַסנֵן
output שם עצם	/ˈaʊtpʊt/	פֶּלֶט
discount שם עצם	/ˈdɪskaʊnt/	הֲנָחָה
solve פועל	/sɒlv/	פָּתַר
select פועל	/sɪˈlɛkt/	בחר
transaction שם עצם	/tɹænˈzækʃən/	עִסְקָה
hint שם עצם	/hɪnt/	רֶמֶֶז
badge שם עצם	/bæd͡ʒ/	תָּג
lesson שם עצם	/ˈlɛs.ən/	שיעור, שִׁעוּר
explanation שם עצם	/ˌɛkspləˈneɪʃən/	הֶסבֵּר
skill שם עצם	/skɪl/	מְיֻמָּנוּת, כִּשּׁוּרִים
promotion שם עצם	/pɹəˈmoʊʃn̩/	קידום
column שם עצם	/ˈkɒləm/	עַמּוּד
difficulty שם עצם	/ˈdɪfɪkəlti/	קושי
default שם עצם	/dɪˈfɔlt/	ברירת מחדל

Phrasal verbs שתשמעו

מילה	משמעות
check out פועל	בדק
go down פועל	ירד

משפטים שכדאי לחזור עליהם

משפטים קצרים ושלמים מהסרטון שאפשר להשתמש בהם בשיחה יומיומית:

We're gonna be practicing these questions on analystbuilder .com.
Let's get that owner name.
We're going to go to our next question.
I'm actually earning points for these questions.

הגייה ששווה לשים לב אליה

הדובר משתמש ב-66 קיצורים וצורות מקוצרות, כמו we're, gonna, I'm. אמרו אותם בצורה הקצרה, כפי שאתם שומעים אותם.

הצלילים של “sh” ו-“zh”: inspection /ɪnˈspɛkʃən/, transaction /tɹænˈzækʃən/, explanation /ˌɛkspləˈneɪʃən/, promotion /pɹəˈmoʊʃn̩/, consideration /kənˌsɪd.əˈɹeɪ.ʃən/
מילים ארוכות — שימו לב להטעמה: explanation /ˌɛkspləˈneɪʃən/, difficulty /ˈdɪfɪkəlti/, consideration /kənˌsɪd.əˈɹeɪ.ʃən/, capitalize /ˈkæpətəˌlaɪz/, criterion /kɹaɪˈtɪɹ.i.ən/

צלילים שדוברי עברית מתקשים בהם:

/w/ — שפתיים מעוגלות, לא /v/: query /ˈkwɪɹ.i/, whichever /wɪt͡ʃˈɛvɚ/
/æ/ — פתוח יותר מה-“אֶ” העברית, לא כמו “a” ב-“cup”: analyst /ˈænəlɪst/, transaction /tɹænˈzækʃən/, badge /bæd͡ʒ/, vast /væst/, lastly /ˈlæstli/
/r/ — הלשון לא נוגעת בשום מקום, לא ה-“ר” הגרונית: hire /ˈhaɪɹ/, transaction /tɹænˈzækʃən/, prompt /pɹɑmpt/, query /ˈkwɪɹ.i/, promotion /pɹəˈmoʊʃn̩/

איך לתרגל עם הסרטון הזה

הקשיבו לכל הסרטון פעם אחת בלי לדבר, ורשמו את המילים שאתם לא מכירים.
התחילו במהירות 0.75×, תרגלו Shadowing משפט אחר משפט, וחזרו למהירות רגילה כשזה מרגיש קל.
הקליטו את עצמכם והשוו למקור, תוך תשומת לב למילים כמו filter, output, discount.

מהי טכניקת השאדואינג?

שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.

טכניקת Shadowing: קרא את המדריך המלא שלב אחר שלב →

Shadowing Practice: Solving Easy SQL Interview Questions on Analyst Builder - Learn English Speaking with Video

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אוצר מילים והערות הגייה לשיעור הזה

אוצר מילים מרכזי בסרטון הזה

Phrasal verbs שתשמעו

משפטים שכדאי לחזור עליהם

הגייה ששווה לשים לב אליה

איך לתרגל עם הסרטון הזה

מהי טכניקת השאדואינג?

Job Interview Connected Reading | 英语连读面试