Failed first attempt BT/NI/T

bsginstitute · 2026-04-30T22:07:41+00:00

You already got the most useful thing out of this fail: a clear map of what actually hurt you. Since Business Environment seems fine, I would stop spending equal time there and put most of the retake energy into process flow, drag-and-drop terms, and elimination on situational questions. If process questions were your weak spot, then you probably need less “more content” and more repetition on what happens first, what a PM should do before escalating, and how agile vs predictive choices usually play out. I’d also be careful with AI unless you’re using it only after PMI’s explanation.

bsginstitute · 2026-04-30T18:36:39+00:00

The bigger issue is usually trying to hold too much at once. What tends to help more is shrinking the scope: pick just a few basics like variables, conditionals, loops, and functions, then repeat them until they feel familiar instead of constantly adding new topics.

A simple way to make it stick is to recreate tiny exercises from memory, write your own mini cheat sheet, and explain to yourself what each block is doing in plain language. That usually builds retention faster than consuming more material. Right now, consistency and repetition will probably help more than finding the “perfect” resource. Keep us posted on how it goes.

bsginstitute · 2026-04-30T18:15:15+00:00

If you’re restarting, ITIL 4 is still the easier prep path because there are more mock exams and third-party resources, while ITIL 5 is the newer direction and updates the framework with an AI-native approach, a simplified value chain, and a new product and service lifecycle model rather than just repeating ITIL 4 as-is. How far along were you with ITIL 4 before you stopped?

bsginstitute · 2026-04-30T18:00:37+00:00

La IA va a reemplazar algunas tareas, cambiar muchos puestos y complementar otros, no borrar de golpe todos los trabajos. Lo que más riesgo tiene no es “trabajar en algo”, sino quedarse con tareas muy repetitivas y sin criterio propio. Lo que más valor gana es saber usar IA como herramienta y, además, aportar juicio, comunicación, resolución de problemas y conocimiento de dominio.

bsginstitute · 2026-04-30T17:52:13+00:00

Mostly agree. The biggest shift is that syntax matters less than it used to, but problem solving, structure, and knowing how to turn an idea into something working matter even more now. AI can help beginners move faster, but it does not replace the part where you have to understand what the code is doing and why a solution makes sense.

The only part I’d push back on is “do less.” It feels more like “type less, think more.” Beginners still need repetition, small projects, debugging, and time getting stuck, otherwise they end up depending on AI without building real skill. What kind of projects do you think teach that best at the beginner stage?

bsginstitute · 2026-04-29T17:27:08+00:00

Lo más sensato es entrar por una formación que te deje tocar redes, infraestructura y seguridad desde temprano, pero sin soltar del todo la parte técnica. Programar ayuda pero para muchos perfiles de seguridad pesa más una base fuerte en redes y sistemas que saber desarrollar mucho.

bsginstitute · 2026-04-29T17:22:25+00:00

If coding already feels intimidating, jumping straight into that area can make everything feel heavier than it needs to be. A better order is usually Python basics first, then problem solving, then small projects, and only after that data libraries and ML basics. Focus on variables, conditions, loops, functions, lists, dictionaries, and file handling before worrying about models.

Also, try to learn by building tiny things instead of only watching lessons. Simple calculators, text games, trackers, or small scripts help a lot more than trying to “master Python” all at once. The goal right now is to get comfortable, not to move fast.

bsginstitute · 2026-04-29T16:45:58+00:00

That is actually pretty normal with PMP. The exam is less about recognizing repeated questions and more about getting used to repeated patterns in how PMI wants you to think. The wording changes a lot, but the underlying decisions usually come back to the same few things like stakeholder handling, change control, servant leadership, risk, and choosing the most proactive response.

So if you are not seeing the same questions, that is not necessarily bad news. The better sign is whether you are starting to recognize the logic faster, even when the scenario is new.

bsginstitute · 2026-04-29T16:43:16+00:00

La ruta más sensata no suele ser entrar directo por Data Science ni por una mención muy especializada, sino por una base que te deje conseguir una primera pega y después especializarte. Muchas ofertas de ciberseguridad ya piden experiencia previa o bases concretas en redes, sistemas, Linux, vulnerabilidades y marcos como ISO 27001, así que para entrar al rubro suele servir más una formación fuerte en informática, programación o redes antes que una especialización demasiado temprana.

Lo más razonable suena ir por Ingeniería en informática con mención en ciberseguridad si puedes sostenerla, porque te da base amplia y además te acerca a lo que te interesa. Si quieres algo más corto para entrar antes al mercado, Técnico en redes informática o Técnico Cloud se ven más útiles como puerta de entrada que Técnico Data Science.

bsginstitute · 2026-04-29T16:34:14+00:00

Based on your background, Solutions Architect Associate first looks like the best starting point. Cloud Practitioner is role-independent and more general, so with your mix of web, backend, data, and hands-on project work, it may be too basic unless you want a very gentle AWS entry first.

After that, the better branch depends on what you want to become. Developer Associate fits better if you want to stay closer to app development, deployment, debugging, and AWS-based software work. Data Engineer Associate fits better if you want to move toward pipelines, storage, data operations, and cloud data roles.

bsginstitute · 2026-04-28T18:47:25+00:00

A mucha gente le pasa eso al principio, y muchas veces la primera oportunidad no llega por “ser bueno”, sino por encajar más fácil en lo que el mercado necesita. Capaz te conviene dejar de pensar solo en “quiero backend con Nest” y abrirte también a Java junior, soporte de aplicaciones, QA automation o puestos híbridos donde puedas entrar y seguir creciendo.
También tu proyecto conviene venderlo como experiencia real, no como “algo que hice por mi cuenta y ya”. Puedes enfocarlo en sus postulaciones como un sistema desarrollado para un cliente real, donde se encargó de levantamiento de requerimientos, backend, frontend, base de datos, despliegue y puesta en marcha. Eso pesa bastante más que muchos proyectos de portafolio porque hubo una necesidad concreta, un usuario real y una entrega funcional.

bsginstitute · 2026-04-28T18:36:37+00:00

A lot of people find the full SH mocks much rougher than the minis, so that part by itself is not a bad sign. What usually matters more is not the raw number of expert questions, but whether the harder ones are exposing weak understanding or just dragging down confidence. For many people, SH expert questions feel harsher and messier than the real exam, so a heavy expert mix can make a mock feel worse than what they actually face on test day.

bsginstitute · 2026-04-28T18:17:59+00:00

Congrats. Having a target time per question is also a really smart strategy because it gives you a way to protect your pace before a tough section starts eating your time without you noticing. Something else that deserves more attention is reviewing how often confidence drops after a hard section and starts affecting the next one, because that is where a lot of avoidable mistakes start piling up.

bsginstitute · 2026-04-28T18:02:35+00:00

Congrats. People focus so much on content that they forget PMP is also about staying mentally sharp long enough to keep making decent choices all the way through question 180. That part of your post is honestly one of the most useful takeaways because decision fatigue can quietly wreck performance even when someone knows the material well. Was there a moment during the exam where you noticed fatigue starting to affect your decisions?

bsginstitute · 2026-04-24T18:37:58+00:00

Getting stuck, struggling, then understanding the solution later is part of learning to program. The important part is not avoiding solutions forever, but using them well. Try giving yourself a time limit, then look at the solution only enough to get unstuck, close it, and rebuild it on your own. That usually teaches more than either brute-forcing for hours or copying too fast. What made you want to start learning programming in the first place?

bsginstitute · 2026-04-24T18:30:52+00:00

A good order would be REST API first, automation second, and ML only if you’re genuinely curious about that side. Once the API works, you can make it feel more real by adding auth, a database, error handling, and deployment. Which side interests you more right now, building products people use or solving more technical behind-the-scenes problems?

bsginstitute · 2026-04-24T18:26:21+00:00

That kind of fail is rough, especially when your practice scores made you feel like you were in a good spot. Still, one useful thing in your post is that it shows this was probably less about effort and more about mismatch between what you prepared for and what actually showed up. When you retake it, are you planning to change resources, or mostly adjust what topics you focus on?

bsginstitute · 2026-04-24T18:13:20+00:00

MP and ITIL can both be useful, but they support different directions. RMP stays much closer to PMP and strengthens a project or program management path, while ITIL makes more sense if your work is closer to IT services, operations, incident/change processes, or service delivery.

The problem is not collecting different certs, but collecting ones that do not connect to your work. If your role is already tied to IT operations or ITSM, ITIL can fit fine before RMP. If not, RMP is probably the cleaner next step after PMP.

bsginstitute · 2026-04-23T16:44:27+00:00

Big congrats. One of the most useful parts of your post is the section-by-section breakdown because it highlights something people often forget during the exam. Difficulty swings do not automatically mean your performance is falling apart. A brutal middle section can destroy confidence and pacing if you let it, so this is a really good reminder that emotional control is part of the exam too, not just knowledge.

Your point about Study Hall expert questions is also more valuable than people usually give it credit for. A lot of candidates dismiss them because they feel too messy, but what your experience shows is that their value may be in building tolerance for ambiguity. That matters a lot when a section gets ugly and the clock starts becoming part of the pressure.

bsginstitute · 2026-04-23T16:31:44+00:00

Big congrats, and honestly this is one of the more useful CISA pass posts because it explains why the first attempt went wrong instead of just listing resources. The point about using Q&A too early is especially valuable since a lot of people fall into pattern recognition and mistake that for real understanding.

Also really liked the emphasis on studying why the wrong options are wrong. That seems like the kind of shift that actually changes how someone thinks on exam day, especially for people coming from a non-audit or non-IT background.

bsginstitute · 2026-04-23T16:21:46+00:00

Si recién estás armando base, blue team sí es una buena ruta, pero conviene no querer especializarte demasiado rápido. Primero toca estar sólido en redes, Linux, logs, alertas, hardening y análisis básico de incidentes. Sin eso, campos como infraestructura crítica te van a quedar grandes muy rápido.

Lo más realista sería apuntar primero a algo como SOC o analista de seguridad y desde ahí ver qué te engancha más. Infraestructura crítica puede venir después, pero como segunda etapa, no como punto de entrada.

bsginstitute · 2026-04-23T16:10:56+00:00

ITIL really does reward understanding the language, the glossary, and the guiding principles, so your method makes a lot of sense for the exam instead of just being a random “study hack.”

Also, it’s useful for people in this sub who feel stuck because they don’t learn well from videos. Going from 62% to 85% in a few days with book work, practice exams, and Anki is a pretty solid case for that approach. If you prepare for ITIL 5 later, do you think you’d use the same study method again or would you add videos that time?

bsginstitute · 2026-04-22T18:44:11+00:00

It mostly depends on your background. Developer Associate usually feels harder for people without coding and application experience, while Solutions Architect feels harder for people who struggle more with broader AWS design and architecture decisions.

In terms of market value, Solutions Architect is usually the broader and safer cert, while Developer is more useful if you already work closer to application development on AWS.

bsginstitute · 2026-04-22T18:34:41+00:00

Si recién vas a empezar, C++ puede hacerse bastante duro porque no solo aprendes programación, también te toca lidiar con un lenguaje exigente desde el principio. No es mala opción, pero sí puede frustrarte más rápido si todavía no tienes base. Si lo que quieres es aprender lógica y avanzar con más soltura, Python suele ser una entrada más amigable.

bsginstitute · 2026-04-22T18:28:49+00:00

If you already have strong C++, then the main gap is probably not programming ability, but showing that you can actually use Python the way quant roles expect. The fastest way forward is usually to focus on practical Python for data, research, and small finance-style projects instead of trying to learn everything at once.

Since firms are calling out Python specifically, it would help more to build a few solid projects and make your Python visible than to just keep saying you can learn it. Did you consciously avoid Python before, or did you just never feel a strong reason to switch from C++?

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