- So let's start with the first one,
understanding the different scenarios.
Now, why is it important
to understand the different scenarios?
Well, because without
understanding the different scenarios
you don't know where to start
and what is really important for you.
So we are talking about lab requirements.
And the lab requirements will really
vary according to the level.
Remember that in previous lessons
I talked about level 100, 200, 300,
so this is exactly what it's about.
The foundational lab is considered 100 level.
You need to have
a good understanding of the basics, right?
From the operating system perspective,
so you need to understand operating system.
This is very important.
And a lot of people don't realize,
even if you are an IT professional
that is working with Windows for a long time
the question is,
do you really know Windows OS deeply?
Do you understand what a thread is?
What the process is?
Do you understand the network communication?
What is behind the scenes?
That's also part of the foundational.
And having those understanding will really help you
to absorb different technology further down the road.
And of course if you finish computer science degrees
of course you know all of those things.
But if you do not have computer science degrees,
if you're migrating
from a whole different field to cybersecurity,
it's really important to having those
foundation knowledge in OS and networking.
How are you gonna do that?
As I always talk about, planning is important.
And we talk about smart planning,
use the smart approach and it is no different here.
When we are talking about lab
we are talking about two types of labs.
The foundational one,
which you can do just using your computer
because the exercise can be done
just using your computer internet access
and that's, that's it.
You don't need extra license for anything.
You don't need to subscribe to anything.
But when you're talking about 200 level labs,
mainly around cloud, computer cloud security,
you're gonna have to have a, a trial subscription.
And in this particular case
we are suggesting Azure
because it's a pretty straightforward,
as I said it's 30 days.
You have a certain amount of money
in those 30 days to use as part of the lab.
So everything is already tailored for those 30 days.
If you think about the timeline,
since we are talking about 30 days trial,
you have to imagine
what you're gonna get out of those 30 days, right?
You need to think,
okay, so what really is important for me to do?
You are right here, you are on day one.
You are understanding
whatever the lab is and everything,
and you are gonna do the foundational lab
on day one because you can do from your computer.
On day two, for example,
you start the trial, the Azure trial.
And day 31 the trial ends.
I suggest you to be fully done on day 29, right?
Because that way it gives you a little gap
between the last day of the trial
and you've actually finishing the lab
so you can reflect.
Although here I'm saying use day 32 to reflections,
but if you want to finish earlier is a good idea
because if you need to go back to the lab
and review something you still have two days
to use the lab without any payment.
Because what happen is if you extend beyond 30 days
then you're gonna be charged, right?
The lab is gonna stop working
and you're gonna have access to the lab only if you pay.
So, if you want to review
the things that you've done in the lab
plan to finish the lab on day 29,
that way on day 30 you can review,
can navigate through the lab,
take notes and everything.
And then after that
you don't need to use the lab anymore, okay?
And, and after that you can even go further
in other reflections of what you learn,
what you need to improve, things like that.
So that's the idea about those.
The last reflection is to
for you to do this another self-assessment and
and think about, okay, what did I learn?
And why should I continue to learn
because it's not very clear
hat do I need to review moving forward.