Certified Heroku Architecture Designer exam Dumps

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Salesforce Heroku Architecture Designer exam.
Exam Questions : 60 multiple-choice/multiple-select questions
Exam Duration : 105 minutes
Passing score: 72%
Delivery options: Proctored exam delivered onsite at a testing center or in an online proctored environment. Click here for information on scheduling an exam.
Prerequisite: None

About the Salesforce Heroku Architecture Designer Credential
The Salesforce Certified Heroku Architecture Designer credential is designed for individuals who have the knowledge, skills, and extensive experience with architecting scalable solutions, deploying and managing apps, and managing teams and build-workflows on Herokuspecifically, Heroku Enterprise. This credential is targeted for a Heroku Consultant or Partner, who has an awareness of app dev best practices and how they apply to Heroku, an understanding of how to build scalable apps on Heroku, and knowledge of Heroku use cases and how to apply Heroku best practices.

Audience Description: Salesforce Certified Heroku Architecture Designer
The Salesforce Certified Heroku Architecture Designer exam is intended for an individual who has architectural knowledge of the Heroku platform and its capabilities, including:

Designing, building, deploying and scaling Heroku apps, managing and operating apps, teams, and build infrastructure Knowing when to use Heroku Enterprise, and understanding the security and trust options available in Heroku and Heroku Enterprise Utilizing add-ons to extend applications, in particular Heroku Postgres and Apache Kafka on Heroku. Integrating Heroku apps with Salesforce data via database, API and event systems, including Heroku Connect.
The Salesforce Certified Heroku Architecture Designer exam is intended for an individual who has a minimum of two years of experience and skills across the Heroku domains, including:
- Building and deploying apps on the Heroku platform
- Architecting scalable solutions
- Using add-ons from the Elements Marketplace
- Architecting solutions using Heroku Postgres, Heroku Redis, Dataclips, and Heroku Connect
- Prescribing a third-party add-on and add-on sharing
- Using Heroku Private Space Peering and VPN Connections
- Understanding Private Space Runtime versus Common Runtime
- Understanding how Heroku Enterprise can Excellerate a system's architecture
- Architecting solutions using Heroku Shield, and the benefits of various certifications Heroku has
- Architecting solutions using Enterprise Teams
- Architecting an application using the Twelve-Factor methodology correctly
- Constructing solutions for building a microservices architecture
- Building architectures that use Apache Kafka on Heroku
- Integrating Heroku apps with the Salesforce Lightning Platform
- A candidate for this exam is not expected to:
- Know how to architect Salesforce Lightning Platform solutions.

Exam Outline
The Salesforce Certified Heroku Architecture Designer exam measures a candidates knowledge and skills related to the following objectives. A candidate should have hands-on experience with Heroku Architecture and have demonstrated the application of each of the features/functions below.

Heroku Platform: 10%
Demonstrate an understanding of the basics behind building and deploying apps on Heroku, including the role of buildpacks in slug creation.
Architect scalable solutions that are performant even during high traffic spikes.
Architect and deploy solutions using add-ons and other components from the Elements Marketplace, including various add-ons, buildpacks, and Heroku Buttons.

Data: 17%
Demonstrate knowledge of Heroku Postgres, including data handling, security, and common use cases for follower databases. Describe the use cases of Dataclips.
Architect solutions using Apache Kafka on Heroku to facilitate streaming communication between applications, services and/or functions.
Architect solutions using Heroku Redis.
Demonstrate the ability to prescribe a third-party add-on and add-on sharing, when appropriate.

Security: 15%
Construct architectures which leverage Heroku to achieve different security certifications.
Recommend Heroku Private Space Peering or VPN Connections for appropriate use cases.
Recommend when an app should run in the Private Space Runtime versus the Common Runtime.

Heroku Enterprise: 28%
Demonstrate how features of Heroku Enterprise can Excellerate a system's architecture.
Recommend networking solutions that use Heroku Private Spaces or the Common Runtime, appropriately.
Describe the compliance features of Heroku Shield.
Describe the features of Enterprise Teams.

Architect Applications: 15%
Recommend architectures that use the twelve-factor app methodology correctly.
Construct solutions for creating an orchestration layer for building a microservices architecture using Apache Kafka on Heroku.

Integrations: 15%
Recommend architectures that use Heroku Connect appropriately, including the correct use of External IDs.
Recommend techniques to integrate Heroku apps with the Salesforce Lightning Platform, and understand when to apply particular techniques.

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heritage of Infra as Code

Transcript

Shafer: i'm Andrew. we will have a little stroll down memory lane. here is background of infrastructure as code. i admire to birth with definitions. we will discuss language. this is the language of infrastructure song. Language is any equipment of formalized symbols used or conceived as a means of speaking. Then infrastructure is the simple underlying framework or points of a device. Then code is a group of symbols that may also be interpreted through a computer or a piece of utility.

Language

I wish to frame this as certainly as feasible. i'm occupied with language, all forms of languages: desktop programming languages, spoken languages. in case you don't know what that potential, then go read about language-games. as a result of language shapes concept, and thought shapes language in this exciting manner. We do not have the time to enter the Sapir-Whorf hypothesis, and some of the different analysis that has been shown to be in prefer or in opposition t some of these distinctive framings, nonetheless it's just a desirable study, as a minimum for me, and the way I consider. I suppose in phrases often, and so then once I be trained new words, I suppose like i will be able to get new ideas. it be also simply a fascinating aspect to think about the humanity of language and how all these things develop from each other, and the history of language, at the least in response to the individuals who examine such issues extra intently than I do, they in reality come right down to some common issues. It doesn't seem love it on face, but in line with the experiences, Hindi, Russian, Spanish, and English are all from this typical Indo-European ancestor. I bring this up, as a result of I think there may be some normal themes with the style that the language frameworks will evolve or have developed until now.

another brief apart, and this is also part of my fascination with language is that there's research that means that a normal human grownup may also be fluent in a new language in six months. They can be fluent in six months, and they may be native degree speaker in two years. it is provably genuine. or not it's simplest authentic in case you create these imperative preconditions about how you're going to method studying it. Then this observe fundamental is essential since you will best study languages to the stage that you just need to. I think that is additionally real to a few degree with the programming languages. we are going to be trained the language. we'll be taught a competency with the language to the degree that we deserve to for the task we're faced with. here's probably the most earliest examples of writing and languages recorded. I think it's funny, since it's a desk outlining beer rations. I do not even drink, however I consider it's humorous because it's like, curiously, we drank earlier than we wrote.

What Infrastructure as Code ability

What does infrastructure as code imply? How do I consider about this, or how if you happen to suppose about it? To me it be implying that the infrastructure itself is an utility, which potential that we are able to use all our application hints. we can birth to think about utility construction lifecycle, and version control, and testing, and all these things we developed up across the manner and the agile engineering or what have you ever, anything your favourite hints are. Then it also capacity that we should still be cautious of a few of our software pitfalls. there's a lot of reports where individuals instructed their infrastructure as code to do a factor, and it did precisely what it changed into advised in that it took down everything, since it did not go throughout the lifecycle that you just wish to with appreciate to testing and the rest of it to warrant inserting into production.

Kernel, Drivers, approaches, and Threads

I also think or not it's unique once I acquired this topic, and started brooding about it as like, where does the utility birth and the infrastructure begin? the place's the separation, because it's in reality like on the very backside, there is some silicon. Then it be truly software. it is abstractions relatively early within the method. loads of what we name infrastructure, if we're engaged on company area functions, is definitely utility, and it has been for a while. The kernel is application. All these drivers are software. The provisioning of the materials to beginning a system is an infrastructure issue, but it's the application technique. I do not feel we should forget that. I think if we internalize that, and the greater we have in mind the things above and beneath the layer that we're working on, the more we are able to take competencies of the alternatives we've with the code we're engaged on.

in the starting, at least in the Unix world, there changed into the Bourne Shell. here is the interface into the computing, into the processing energy. you have got your .sh, and you write some stuff, and you tell the computing device to do it, and it does it. In some feel, you could argue that this scripting become this primordial infrastructure as code. From there, for a scorching minute, we may have had Lisp machines, which is funny in its personal way, nevertheless it changed into actual. That failed to last very lengthy. Then there was Perl. in case you've never viewed xkcd, then you should in reality go examine some. The punch line is, God says, actually, we hacked most of it along side Perl.

The Configurators

here's the story that the majority individuals affiliate with infrastructure as code. as a minimum most americans in my circles are this beginning of a dialog. There became a thread lately on Twitter, the place people have been attempting to say, what's the beginning of infrastructure as code? We did not really get to an origin, but we recognize that we have been announcing it a whole lot round 2009, 2008, 2007. i do know I stated it a lot. there is this long heritage. the primary version of CFEngine is 1993, which is so lengthy ago. then you come via this notion of infrastructure as code, however in this context, what infrastructure as code potential is in reality the configuration, just like the proper care and feeding of servers. retaining servers adequately configured throughout the lifecycle of that server. at the least for this paradigm, or this generation of the equipment, the server is the optimum degree primitive, after which any orchestration that you just need to do between them, you ought to accomplish outdoor of the abstractions which are offered by way of these equipment. Then it be additionally wonderful, in case you analyze this, that CFEngine is written in C, you then see these other things getting written in these higher degree languages. Puppet was actually an attempt to write it in Perl, and then Python. Then finally, Ruby changed into just the language that Luke was capable of specific the abstraction that he desired to.

control Loops

The construct that every one of these are developed on is that this idea of a desired state. i go to come lower back to this later, as a result of I feel here is important. or not it's additionally the foundation for a lot of stuff with robotics and different styles of controls. The framework is announcing what the preferred state is. it be comparing the desired state to the latest state, and then there's some logic constructed into the framework that tries to carry the current state into the desired state. there may be additionally this idea of it's like philosophical discussion round essential versus declarative. On some stage, the style that you get declarative is by means of getting the right common sense to go from the current state to desired state. definitely, it really is at all times essential. it's the little trick. you've got declarative statements on your language, however truth has time and state, so you then grow to be with this quintessential work to do this convergence. Which could be vital in a minute, as a result of we're going to come back again to control loops.

The Isolators

Then, in parallel to this, there's this different story, which i'm conflating as a minimum for the sake of this, the containerization and the virtualization, the VMs, as two things which are doing various kinds of isolation. What it skill is a proliferation of configurations that deserve to be managed. They both have distinct qualities with appreciate to the energy of the isolation and the pace that they can be started, and how that you may flow them round, and various things. The facets of containers will get more critical, a bit bit later in the story. or not it's missing a lot of other components of the story, but this is consultant. the primary virtual laptop, the IBM lower back in 1972, they proved virtual machines, however the hardware itself failed to get quickly ample to take knowledge of that until about 2000. you then see this explosion of all these technologies.

The IaaS (Infrastructure as a service)

Then as a consequence of that, and i suppose here's the notion of things building on each other, you see the real explosion of virtualization began around 2000. by 2006, Amazon launches Amazon web carrier. I suppose or not it's also pleasing, that through 2004, 2005, Amazon, Google, any of those, what we name cloud natives today, may try this API pushed provisioning inner their facts centers. Then, 2010, you could in reality provide an hour long speak on HashiCorp, and that i believe like you probably have the infrastructure as code lineage with the configuration administration from CFEngine, via Puppet to Chef to Ansible, then Vagrant is its personal issue. The metaphor i would use is Mitchell Hashimoto is like Hamilton, he's just writing like he's running out of time, developing with all these crazy equipment and abstractions. or not it's truly fun to observe. I used Vagrant so a great deal to check Puppet. it be like being in a position to provision these machines on the cycle changed into online game altering.

The Provisioners

you have this concept of provisioners. These are these equipment that come into the cloud providers, and they're in a position to construct infrastructure. might be there may be another ones which are obtainable, but Terraform is the one. it really is the one that essentially everybody looks to make use of. Then Pulumi is that this new entrant that seems to have some momentum as neatly. That didn't appear to have the Cambrian explosion that one of the vital other equipment did. additionally, around this time, 2015, you see loads of the shift in opposition t Go. people are starting to write the infrastructure as code in the Go language.

IaC strikes Up the Stack

this is a brief introduction to Wardley. there may be this notion, what I agree with like these building on abstractions, is things moving from this suggestion of the genesis, custom-developed items, up through services and at last become a utility. You may argue that here's the story of cloud computing, as computing is relocating through this S curve and fitting a utility. Infrastructure code is moving up the stack. Now you see within the cloud providers, all types of these high stage services.

The PaaS (Platform as a service)

there is this other movement regarding this stuff we're speakme about around platform as a carrier. You see this timeline of those points the place you might be able to simply push artifacts into the framework. I confirmed the infrastructure as a service a moment in the past, which changed into provisioning the VMs, but each Google and Microsoft's first foray into cloud computing was truly platform as a provider. here's the Heroku propaganda that the Twelve-component app, to some diploma, if you're in fact paying consideration, implies the existence of this Twelve-ingredient platform it truly is going to retain all those promises. if you feel about what those 12 factors are, then or not it's like if you're going to write to a data provider, there enhanced be an information provider.

Docker Mania, 2013

Then there's Docker. here's video game altering, as a result of there become at all times containers, and individuals have been the use of them, OpenVZ, and LXC, and the rest of that were things that we used. We built techniques with Puppet and Chef that use those as well. probably the most things that I believe was in fact insightful changed into marrying the artifact of the deployable named shareable picture with these defaults that made it available to any developer. earlier than Docker comes in and makes it attainable to the average developer, it be complicated and requires lots of competencies to delivery a container. Docker is basically fixing a usability computer virus with LXC, and unexpectedly, any developer that could set up this kit can birth containers, and not simply beginning them and use them, make them, but share them. That potential to socialize and share the containers become additionally very game changing, and i think some of the major contributors to how Docker just definitely caught hearth. it be again, building on these understandings and this utility, trending from an innovation to fitting more of a utility.

The Borg Diaspora

Then I also feel or not it's price shouting out to this proposal of those Borg inspired container schedulers. it be like Cloud Foundry, Mesosphere, and Kubernetes, and to a couple diploma, Nomad, are all inspired by means of the Borg. here is a really equivalent control loop to what we saw earlier than with the previous technology of tools. in its place of being on the node stage, now you're at a provider stage where the nodes are basically resources interior of that control loop. You say how many nodes there should be, and that makes it.

building

Now or not it's Kubernetes. it is where we are living now. there is all these other things that I believe you need to add to the dialog around infrastructure as code, DevOps, continual delivery, whatever thing. these buzzwords and how they healthy together on your head. there's these other issues where you write code it is infrastructure-y, and it delivers these artifacts that then get deployed. I suppose you have to shout out to Cruise manage as this starting, and then all and sundry all started using Jenkins, however all and sundry wishes they had something enhanced. nevertheless Jenkins works relatively well, so what are you going to do?

records

Then there may be additionally these facts threads. if you feel about what Hadoop delivered to the table, exceptionally should you talk about YARN and a few of the different stuff, there may be in reality this infrastructure-y manner administration almost platform as a service point to that, that definitely changed the online game. I feel each of those NoSQL evolutions entering into Kafka, and a few of the newer cloud native databases, have an aspect of the infrastructure as code that permits you to manage the lifecycle of those in a significant way, and maintain the promises that you wish to about reliability. Then or not it's like, if we're going to discuss records, then where are we going to cease? then you get to the Cloud Native Computing foundation, and there's simply so lots. each one of these is building on that abstraction that got here earlier than it. it be like service meshes, and in some experience, are very comparable to configuration administration for the routing. I additionally believe it be exciting to factor out that these are patterns. every trial it's in the Cloud Native Computing foundation, you noticed in the cloud natives, is just like all of them constructed the equal patterns as on their own. Now you might be seeing them come into this pool, this shared common useful resource. on occasion these improvements, you get a brand new genesis and it changes every little thing above it, from there on out.

tens of millions of lines of BCL

this is simplest the realm we can see. there may be all these things we cannot see. there is the people that work at Google, or at Amazon, that work in the back of this veil, or a secret society, the place they see things the relaxation of us don't always see. they're fixing issues that we don't necessarily have. because of that, there's this entire world of infrastructure of code that exists in those businesses that we don't necessarily have entry to. I remember a time 2008, 2009, the place in case you tried to consult with somebody that worked at Google about Borg, they stopped talking to you. that's modified now that the Borg paper is out, and Kubernetes is the component they've open sourced. it's an effort to carry that mindshare and thought leadership to. That became a period the place they concept the Borg turned into their secret weapon, and that they might not discuss with you about it.

Serverless does not Serverless Itself

there is equivalent things with Amazon. they have got their framework. they have got their systems. they've all these services. they are no longer necessarily sharing, or we don't always recognize all of the tools that they have got internally. i know some a little bit however now not as tons as i'd be in a position to recreate some of those things.

What about Runtimes and Frameworks?

Then additionally, you ought to suppose about the runtimes and the frameworks which are above that. this is me tweeting, "Any sufficiently complicated microservice deployment includes an advert hoc, informally-specified, malicious program-ridden implementation of half of Erlang." there's extra language frameworks we could go into, but every of these have some infrastructure-y piece to them. it's like Rails migrations and Erlang does a bunch of things to retain promises with the runtime about reliability. Then we have what i would accept as true with an attempt to deliver lifecycle administration to these things that we're managing, setting up the architectures. lots of these things I consider very nearly like introduced on to this stuff that weren't designed to be cloud native to are attempting to make them be cloud native, that will have that lifecycle. something the sysadmin would do, we are attempting to encode in these operators or in Habitat, or whatever. I feel like, expectantly, we can get past that at some point. I wish we had these abstractions that we may just specify the promises we desired to retain round scalability and latency and simply declare them, and then the underlying infrastructure can be hidden from us, however it would hold all these promises. That'd be striking.

Conclusion

Code that works but would not reveal its underlying mechanisms and intent is one damaged dependency away from being pointless. speak with other people, or at your peril, you may not try this. You can also be fluent in any of these items in six months if you should. don't get too stressed out that you don't know all this stuff. it be all there for you. here's just stuff, in my search, i thought become enjoyable, so Dapr, SWIM, RSocket, and WebAssembly are these entertaining items to build these adventure-pushed architectures. just a little different paradigms from each other, but very entertaining. Then there is this infrastructure as a code flow around managing models and a lot of the computing device gaining knowledge of stuff. Then darkish to me is like cloud native Smalltalk. it be like this built-in environment, really, the IDE and the runtime for the specific paths. Who is aware of how these will evolve? i believed it became enjoyable. What comes next? I don't know either. i am having a bet long on computer systems and humans.

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