logic problem solving bairesdev

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Pienso Luego Pienso

Mi Experiencia Con BairesDev: Cuidado.

julio 29, 2019 By Facundo

BairesDev pedía un desarrollador con el lenguaje Elixir , remoto desde Uruguay. Yo buscaba acumular experiencia. Entonces apliqué:

Como respuesta, me mandaron dos emails automatizados que encendían alertas. Pero elegí descartar la luz amarilla; todavía era temprano. Me apoyé en su introducción donde se presentan con el Top 1% de devs y todo el verso típico.

Ahora, cuando me meto a hacer los ejercicios no me gustó nada. Apliqué para Elixir y me mandaron un examen para inglés, Java, algoritmos, lógica (hasta ahí bien); después jQuery, CSS, OOP, sql, Python, Scala y creo que no pidieron F# porque no les entraba en la lista.

En mi experiencia, las empresas que hacen exámenes cronometrados no buscan programadores creativos y capaces con miras a ubicarlos en proyectos desafiantes y entretenidos . Buscan peones capaz de apilar ladrillos de código; y que la pared quede más o menos derecha. Nada malo con eso. Es necesario levantar paredes, pero no es lo que yo ando buscando .

Luego se sucedió este intercambio:

Raro, ¿no? Entonces me preguntaba 1) Sería otro mail automatizado o sencillamente les chupa un huevo mi tiempo y la posición a la cual apliqué. Concluí que posiblemente sean ambas. 

Y 2) Su “Si es que aún no lo hiciste” subcomunica ‘ni nos gastamos en revisar si lo hiciste o no. Es más fácil apretar el botón ‘< Enviar Respuesta Default >’

Vuelvo a responder buena onda y les informo:

Tras cagarse en todo, me llega un mail para que yo agende una entrevista por Skype. Lo típico… pero a recordar que estamos tratando con los rent-seekers de BairesDev.

Primero me tocó dedicarle dos horas de ejercicios sobre cosas no relacionadas con la posición. Luego, debía esperar 17 días para tener el honor de hablar con ellos:

No hay respuesta. Diez días más tarde me llaman. Coordinamos entrevista. Me piden que rellene un formulario con un vagón de cosas; entre ellas referencias… cuando yo ni siquiera sé si quiero el puesto; ni ellos saben si les sirvo.

Me llaman. Tienen mi cv. Me preguntan cuántos años tengo de Java y con qué seniority me considero (está escrito en el puto CV!) y siguen con Postgres y otras boludeces mas…

Me preguntan sobre mi ultimo trabajo, en mi caso en Australia: empresa, sueldo bruto, neto, vacaciones, beneficios, motivo de salida, sumado a una sarta de pelotudeces más. Todo para decirme que el puesto es on-site , en Buenos Aires y cobrando en pesos argentinos.

¿Y Uruguay remoto?

Todavía no sé si son tontos o si desayunan de noche.

Estoy seguro de que el management es consciente de esto. Esta cultura con olor a curry se debe transpirar a lo largo y ancho de toda la corporación.

Y a ellos les debe chupar un huevo: la deben estar juntando en pala.

Obteniendo las Respuestas a los Exámenes de BairesDev

Tomé una serie de screenshots mientras avanzaba por los exámenes. Debo admitir que no son muchos; sólo 17 capturas; y en su mayoría son de Java. Pero seguramente ayuden para darte una idea de cómo son sus exámenes.

Automaticé un script para que te mande las screenshots por email:

Para obtener todas las preguntas, también existe otro método. Debido a que el proceso de preselección de BairesDev está automatizado, vos, como persona capaz de resolver enigmas, podés mandar otro   curriculum de señuelo (con nombre y mail de otra persona, por supuesto). Las pruebas vienen antes de la entrevista: les cuesta menos hacerte perder el tiempo a vos que perderlo ellos.

Ahora, si buscás trabajar remoto, querés cobrar en USD o te interesa mudarte al extranjero , entonces te invito a revisar mi selección de ofertas laborales destacables acá y también me podés agregar a LinkedIn acá . Por último, también muestro cómo conseguí mi primer trabajo programando con Elixir

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BairesDev Assessment Tests, Hiring Process & Interviews Online Preparation – 2023

What Is BairesDev?

BairesDev is a technology development company that provides software solutions for corporations. They also provide highly experienced engineers and developers to companies in need of a skilled team to help them learn, develop, and institute technological solutions. BairesDev has a presence in 25 countries in South America and North America, with 2,500 engineers.

As part of their client services, BairesDev can put together a dedicated team to provide assistance in developing technological solutions. It can provide specialists to augment an existing team, it can develop software specifically for a company, or it can provide a specialized team of experts to help with a project using its Staffing Hero AI technology.

Even a tech company can’t run on engineers alone. There are also opportunities in sales and client services, marketing, admin and finance, continuous improvement, and admin and HR. BairesDev employees have the opportunity to work remotely, may be eligible for travel and relocation opportunities, and can expand their language skills with courses in English or Spanish.

What Is BairesDev’s Recruitment Process?

You can apply for a position with BairesDev either through their website or through a referral. You can fill out your application using the information from your LinkedIn profile if you have one. BairesDev receives a high volume of applicants, so the shortlisting process begins before you even receive an interview.

After your application is submitted, you will be assigned a series of assessment tests to complete. These tests are automatically assigned based on the job you have applied for.

If you receive adequate scores on the assessments, you will be called for an interview. You may have a series of interviews to determine if your skills and personality are a good fit for the company.

If you have applied for an IT position you will need to complete written tests. These are used to evaluate your technical skill

IT professionals will be given a technical interview before being added to the Staffing Hero database. Staffing Hero is used to put together teams that are outsourced for client projects.

BairesDev’s Psychometric Tests

There are over 80 tests that BairesDev uses to help in the hiring process. The tests you are given will depend on the skills needed for the position you applied for. You will need to complete anywhere from 8-12 tests. All applicants will need to complete:

• English Skills Test

Other tests that BairesDev may use include:

• Problem Solving
• Personality Test
• Case Studies
• IT Sales Knowledge
• IT Management
• Situational Judgement Tests (SJT)

How to Prepare for BairesDev’s Assessment?

With the large number of tests that are used by BairesDev, it can be difficult to know what to prepare for. Our best chance at success is to focus on practicing the technical skills you will need to perform the job. If you know you will be working in a specific programming language, practice your skills in that area. Learn about the job you applied for and specific difficulties you may encounter, particularly if you will be working in a remote position. Finally, practice your language skills. You can use traditional methods like books for this, or try something new and use a language app. If you want to be in the top 1% that is hired by BairesDev, you will need to show drive right from the start, by scoring well on the assessment tests.

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Bairesdev Interview Questions Answers, HR Interview Questions, Bairesdev Aptitude Test Questions, Bairesdev Campus Placements Exam Questions

Find best Interview questions and answer for Bairesdev Job. Some people added Bairesdev interview Questions in our Website. Check now and Prepare for your job interview. Interview questions are useful to attend job interviews and get shortlisted for job position. Find best Bairesdev Interview Questions and Answers for Freshers and experienced. These questions can surely help in preparing for Bairesdev interview or job.

This page contains the most recently asked technical questions and answers in the Bairesdev.

All of the questions listed below were collected by students recently placed at Bairesdev.

• General Aptitude Interview Questions of Bairesdev
• Trainee Interview Questions of Bairesdev
• Personal Questions round Interview Questions of Bairesdev
• HR Interview Questions of Bairesdev
• Lead Interview Questions of Bairesdev

By 1hour both trains meet, so the distance travel by fly in 1hr is 120km.

11 14 12 15 13 16 ======= 14 17 the answers is 14

I would expect progression in my career through acquiring new skills

4. Annie Besant

S=D/T S=624KM/6.5HRS S=96KM/HR

4x:5x:6x 100:50:25 100×4x +50×5x+25×6x then 400x + 250x + 150x = 16000 800x=16000 x = 20

25 paisa=6x = 20×6=120

so the ans is 120 coins

5 Problems With AI That Remain Unsolved

While AI is still highly useful in a wide variety of business situations, these problems and others have yet to be resolved.

By Lucio Arbix

Business Development Manager, Lucio Arbix leads the outbound efforts of the Business Development team for lead generation and brand awareness.

Artificial intelligence (AI) is involved in many aspects of modern life, offering benefits like convenience, improved systems and services, and better quality of life. The technology is being used across industries including healthcare , automotive, finance, transportation, travel, and ecommerce. For example, in healthcare, it can be used to manage patient data, diagnose illnesses, and even perform surgeries. A high-profile example in the automotive industry is self-driving cars. And, in ecommerce, it’s used to find suggested products for shoppers to consider.

But AI isn’t perfect. Some of the issues have to do with how the technology is used, rather than the technology itself. For example, the phrase “garbage in, garbage out” applies when faulty data is entered into an AI, producing inaccurate results. Other challenges have to do with practical considerations like costs in time and money to make AI work the way companies need it to and the limited number of qualified operators available.

AI is still highly useful in a wide variety of business situations. However, there remain several AI problems that have yet to be resolved. Here we examine 5 of the most pressing issues, the problems they can cause, and some of what’s being done to address them.

AI’s bias problem has been well documented. It can lead to things like discrimination in housing, job applications, and the criminal justice system. For example, Amazon used AI to choose job applicants only to realize it was consistently viewing women as unqualified. Such bias is the result of bias in the data used to train the AI.

The following video describes how facial recognition can be discriminatory against women as well.

As AI becomes more ingrained in our culture, there is a potential for bias and fairness to become a larger issue. The problem becomes more pronounced when operators aren’t trained to spot bias or when they assume results are neutral since they come from a machine. The AI’s problem with bias is a challenge that can be overcome, but doing so may require more time and money, as well as additional trained specialists.

2. Lack of Talent

The IT field has been dealing with a talent shortage for some time. While many new IT workers are becoming available, the demand still outpaces the supply. AI data scientists are even rarer, and companies may struggle to find qualified workers in this area. Some businesses are addressing this challenge by creating internal training and education programs, which can be shaped to each company’s unique needs. However, such programs can take years to pay off.

3. High Cost in Dollars and Time

AI is expensive, especially in the beginning. Monetary costs include hardware, software, and staff training. The hardware must be dedicated and high-powered, which increases the expense. The fact that such hardware is also in high demand for cryptocurrency mining has driven up the price even more.

But that’s just the beginning. AI operators must spend time “training” the AI, which is something that, depending on the application, could take months to do. Another time-intensive element of using AI is gathering, organizing, and labeling data. While existing data sets can be used to cut down on the amount of time needed, new ones may need to be created if those available don’t meet operators’ needs.

4. Security

Another problem with AI is security. AI has the potential to improve cybersecurity but also to create new vulnerabilities. The following are key security threats for AI applications.

• Unauthorized entry. A cybercriminal could hack into a voice-recognition security system by creating an audio recording that an audio recognition algorithm would recognize as human. Images and facial recognition can be used in the same way.
• False predictions. A cybercriminal may provide the AI with false inputs designed to lead to inaccurate predictions.
• Data corruption. Data sets may be altered to create inaccurate results. Organizations should use strict privileged access management (PAM) policies to prevent this type of attack.
• Transfer learning. Here, the cybercriminal deceives an AI that is trained to perform a certain function.
• Online manipulation. When an AI is connected to the internet, cybercriminals can directly attack it by feeding it false data or training it to return inaccurate results.

Another issue related to security is data privacy. AI operators have a responsibility to keep data confidential, especially sensitive information such as health or financial records. However, insufficient security may leave systems vulnerable to attack and data susceptible to being stolen.

AI understands logic, but ethics aren’t always logical. So, engineers haven’t yet been able to program AI to understand the morality involved in human activities. That means some decisions made by AI systems based on algorithms could go against human ethical concerns.

Other challenges are related to the ways in which AI is used. For example, many workers are concerned about losing their jobs to AI machines. Is it ethical for employers to make these replacements, leading to high unemployment? Self-driving cars may injure pedestrians. Is it ethical to allow them to be on the road if such accidents are possible? Who is at fault in such situations, as there is no driver? Another example is surveillance which includes AI. Is it ethical to deploy facial recognition, which raises significant privacy concerns?

Additionally, AI operators don’t always know exactly how the AI arrives at certain conclusions. This unknown quality is known as a black box — a place where calculations happen that no one can see, making AI increasingly responsible for decisions that can’t be justified.

AI Issues Leave Small Businesses Behind

The issues mentioned above are challenging for large companies and potential deal-breakers for small ones. That is, small businesses may lack the resources to address them and therefore opt out of using AI at all. For example, many smaller companies may lack the money, training and bias elimination resources, and the ability to attract the best talent.

When smaller companies opt out of AI, they remain at a disadvantage in the competitive landscape within their industries. Thus, the accessibility of AI resources may be one more challenge with the technology that has yet to be resolved.

Overall, many of these AI problems have the potential to be rectified, but they will require effort, time, and investment to resolve.

As Business Development Manager, Lucio Arbix is responsible for BairesDev's global business development outreach, including sales enablement, process design and improvement, lead generation, and outreach strategy through his leadership of the Business Development Outbound team.

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3 Approaches to Solving the New Year Chaos Logic Problem

In my spare time, I’ve endeavored to solve algorithmic problems.

Such tasks are common in engineering interviews. To be clear, Revelry usually foregoes testing of this type (I agree), and how often I have to solve such problems, day-to-day, is debatable. And yet, I find intrinsic value in exercising such muscles. I enjoy the challenge of solving logic problems.

The latest upon which I happened is New Year Chaos , whereof one variation can be found here.

The Logic Problem: New Year Chaos

HackerRank summarizes the challenge as an example of solving logic problems:

It’s New Year’s Day and everyone’s in line for the Wonderland rollercoaster ride! There are a number of people queued up, and each person wears a sticker indicating their initial position in the queue. Initial positions increment by 1 from 1 at the front of the line to n at the back.

Any person in the queue can bribe the person directly in front of them to swap positions. If two people swap positions, they still wear the same sticker denoting their original places in line. One person can bribe at most two others . For example, if n = 8 and Person 5 bribes Person 4, the queue will look like this: 1, 2, 3, 5, 4, 6, 7, 8.

Fascinated by this chaotic queue, you decide you must know the minimum number of bribes that took place to get the queue into its current state!

Three Approaches to Solving

In the vein of Eric Elliott (who was quoting Ken Beck ), I shall summarize what amounted to three approaches:

• The wrong way;
• The concise way; and
• The fast way.

To me, the prompt seemed not too difficult. I quickly roughed out a solution. My code passed all the preliminary test cases, and I felt content that I had arrived upon an answer.

First Attempt (i.e., The Wrong Way)

Here’s the code I wrote for solving logic problems like this below:

And here are the test cases, of which all passed:

But there was something critically awry with the solution. I learned as much when I diversified the inputs I fed to my algorithm. Let’s examine a queue that is only slightly more complicated.

For such a case, my first-pass falls short. get_minimum_bribes/1 will return 2 , which proves incorrect.

To illustrate why, observe the queue alongside a one-based index:

Should we employ an index-based strategy, as I do above, we would note that:

• 3 , a briber, is offset from its index by 2 ; but
• 2 , also a briber, is not offset from its one-based index.

Our function totals 2 bribes when it should return 3 . How might we know as much?

When in doubt, examine, once more, the data. Such an endeavor often feels colorless, yet ultimately proves useful.

When we calculate bribes, it should be clear that:

• 3 bribed 2 and 1 ; and
• 2 bribed 1 .

We should total 3 bribes.

Is it not apparent, then, why my index-based strategy fails?

It does not account for cases in which an individual, having received bribes, should be further back in the queue. Because there is no offset between 2 and its index, our first approach would deem such an individual honest (i.e., 2 aligns with its index) when the said person is, in fact, quite corrupt.

The Second Attempt (i.e., The Concise Way)

Let’s revise my original algorithm. We’ll use an approach that approximates our reasoning in evaluating the outlying case above.

Unlike our former algorithm, which would fail, our new solution should check out:

Alas, it will not prove robust.

I encountered exceptions when subjecting the algorithm to any considerable stress. When I passed it a queue of 100 thousand integers, I occasioned a timeout error after sixty seconds. It was vital to improve the algorithm’s efficiency.

Such a task would not prove easy. And I set out on many erroneous coding paths, fraught with complexity. But with patience and a little luck, I began asking some fruitful questions.

Final Attempt (i.e., The Fast Way)

Rather than enumerate through our list, and perform thorough calculations for every number, what if we took our corrupt queue and restored its integrity? What if we shepherded all these venal individuals back to their original positions? And what if, while doing so, we tallied the bribes used by our dishonest patrons?

A couple items become clear.

So much of the work we do to repair the queue to order involves the swapping of persons. And when you’ve swapped enough positions in your head, you may happen upon a looming familiarity. And that familiarity may originate from exercises in bubble sort.

The variation upon which I settled tracks an accumulator, summing the total times in which the algorithm performs a swap.

Here’s the crux of the operation, which proves quite performant.

When operating on a queue of 100,000 numbers, we average an execution time of 0.04 seconds.

Finally, you will notice that I have omitted a special case that we must handle: whenever we provide a queue in which some person has bribed more than two people, we should return an output of "Too chaotic" .

If we wanted to, we could venture to accommodate this case inside our bubble_sort/2 function. But I would prefer not to. I like the purity of our bubble_sort/2 algorithm. It does one thing well — and nothing more. Why obfuscate its purpose by embedding other calculations? Except for serious performance implications (and from what I can tell, there are none), I would prefer to allocate such handling to its own function — one with its own unique purpose. Let’s try that.

Our primary function, which integrates our work, should resemble:

In this article, I set out to solve the New Year Chaos prompt using Elixir . My endeavors culminated in three distinct approaches. The first was patently incorrect. It employed an index-based tactic that fell short in certain cases. The second strategy, which combined Enum.reduce/3 with recursion, proved functional and concise — but it lacked vigor. Finally, I settled upon a familiar algorithm (i.e., bubble sort ) that is comparatively swift. After solving the crux of the problem, I illustrated separately a means by which we can return an alternate output of "Too chaotic" . Hopefully you enjoyed my 3 approaches for solving logic problems, now go solve some of your own! 

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