Abdul Hagi ballerabdude

What to Expect and Tips

• 45-minute systems interview, focus on responding to real world problems with an unhealthy service, such as a web server or database. The interview will start off at a high level troubleshooting a likely scenario, dig deeper to find the cause and some possible solutions for it. The goal is to probe your knowledge of systems at scale and under load, so keep in mind the challenges of the Facebook environment.
• Focus on things such as tooling, memory management and unix process lifecycle.

Systems

More specifically, linux troubleshooting and debugging. Understanding things like memory, io, cpu, shell, memory etc. would be pretty helpful. Knowing how to actually write a unix shell would also be a good idea. What tools might you use to debug something? On another note, this interview will likely push your boundaries of what you know (and how to implement it).

Design/Architecture

Interview is all about taking an ambiguous question of how you might build a system and letting

	The arsenal, armory & library by Maderas (@hackermaderas, #CyberpunkisNow) 6/8/2019

	Original / 1st version here: https://pastebin.com/rMw4WbhX
	___________________________________________________________________________________

	# Basic knowledge requirements for Red Teaming, PenTesting, Hacking & Cybersecurity

	# These are the basic competencies expected (and tested for during the in-person technical interview) by one of the largest, most visible InfoSec companies # on Earth.

	#!/bin/bash

	# Get directory of script
	DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

	if [[ $# -ne 1 ]]
	then
	echo "ERROR: This script expects the namespace name to be given as an argument"
	echo "e.g. ./ecr-cred-updater.sh my-namespace"
	exit 1

	#!/bin/bash
	docker run -d -p 80:80 -p 443:443 --name rancher-server rancher/rancher:latest

	while ! curl -k https://localhost/ping; do sleep 3; done

	# Login
	LOGINRESPONSE=`curl -s 'https://127.0.0.1/v3-public/localProviders/local?action=login' -H 'content-type: application/json' --data-binary '{"username":"admin","password":"admin"}' --insecure`
	LOGINTOKEN=`echo $LOGINRESPONSE \| jq -r .token`

	# Change password

	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="UTF-8">
	<title>A simple clock</title>

	</head>

	<body translate="no" >

	import numpy as np
	import tensorflow as tf

	__author__ = "Sangwoong Yoon"

	def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
	"""
	Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
	For supervised learning, feed training inputs to X and training labels to Y.
	For unsupervised learning, only feed training inputs to X, and feed None to Y.

	#!/usr/bin/env python
	# -- coding: utf-8 --

	import os
	import re
	import requests
	import sys
	from Crypto.Cipher import AES

	#!/usr/bin/env python
	# -- coding: utf-8 --
	#
	# This is how I used it:
	# $ cat ~/.bash_history \| python bash-to-zsh-hist.py >> ~/.zsh_history

	import sys
	import time

	#!/bin/sh

	# Make sure to:
	# 1) Name this file `backup.sh` and place it in /home/ubuntu
	# 2) Run sudo apt-get install awscli to install the AWSCLI
	# 3) Run aws configure (enter s3-authorized IAM user and specify region)
	# 4) Fill in DB host + name
	# 5) Create S3 bucket for the backups and fill it in below (set a lifecycle rule to expire files older than X days in the bucket)
	# 6) Run sudo mkdir /data/tmp
	# 7) Run sudo chmod 777 /data/tmp/