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Splunk Certified Cybersecurity Defense Analyst [SPLK-5001]

1.0 The Cyber Landscape, Frameworks, and Standards (*10%*)
  1.1 Summarize the organization of a typical SOC and the tasks belonging to Analyst, Engineer and Architect roles.
  1.2 Recognize common cyber industry controls, standards and frameworks and how Splunk incorporates those frameworks.
  1.3 Describe key security concepts surrounding information assurance including confidentiality, integrity and availability and basic risk management.

2.0 Threat and Attack Types, Motivations, and Tactics (*20%*)
  2.1 Recognize common types of attacks and attack vectors.

CJK support on Beepy (both display and input)

The Beepy uses a monochrome sharp memory LCD panel which has some caveat. This document includes a way to bring CJK support to Beepy in the framebuffer. The below is based on raspbian on raspberry pi zero, and had ran the Beepy setup script found on https://beepy.sqfmi.com/docs/getting-started.

Install DRM driver for the LCD

We will be using fbterm. Since fbterm supports minimal of 32bpp, we need to install a DRM driver for the sharp memory LCD panel to enable 32bpp mode.

Download the driver made by excel,

$ git clone https://github.com/ardangelo/sharp-drm-driver.git

Vuex 4 is a great companion to Vue 3, but Vuex is falling behind on Typescript support. While waiting for better typing support in Vuex 5 or using Pinia, this wrapper might help.

Using this wrapper will correctly infer arguments and return types on your state, actions, getters and mutations.

It works both within your store(s) and any Vue components where you use the mapActions, mapState, mapGetters or mapMutations helpers from Vuex.

No more any will help you find many errors at compile-time!

	export const LazyScrollView = forwardRef(function LazyScrollView(
	props: LazyScrollViewProps,
	ref: ForwardedRef<FlashList<unknown[]>>,
	): JSX.Element {
	const {children, estimatedScrollViewSize, estimatedItemSize} =
	props;

	const data = isArray(children) ? children : Children.toArray(children);

	// No specific reason for 2000, just a big number. Roughly 2x the screen size

	# .zshrc 中 p9k 的配置内容
	#####################################
	# P9k 配色方案： bright、 light、dark（模式下右侧提示符不显示）
	POWERLEVEL9K_COLOR_SCHEME='light'

	# 在新提示符之前插入一行以保持间距
	POWERLEVEL9K_PROMPT_ADD_NEWLINE=true

	# https://github.com/bhilburn/powerlevel9k/tree/next#customizing-prompt-segments
	# LEFT_PROMPT 左侧提示符

	std::string get_module_path(void* address)
	{
	char path[FILENAME_MAX];
	HMODULE hm = NULL;

	if (!GetModuleHandleExA(GET_MODULE_HANDLE_EX_FLAG_FROM_ADDRESS \|
	GET_MODULE_HANDLE_EX_FLAG_UNCHANGED_REFCOUNT,
	(LPCSTR)address,
	&hm))
	{

	package main

	// Create a directed graph based on the words in a text file.
	// For example the sentences "This is some text. What is this good for?" would produce the following digraph:

	// digraph graph {
	// This -> is
	// is -> some
	// some -> text
	// What -> is

	<head>
	<meta property="og:image" content="GifToEmbedURL"> # Change the content to the link of a gif of your choice, which will be shown as the embed.
	<meta property="og:type" content="video.other">
	<meta property="og:video:url" content="VideoToEmbedURL"> # Change the content to the link of a video of your choice. Will work with videos over 50 MB, and even unsupported codecs such as AV1!
	<meta property="og:video:width" content="1920"> # Set this to the video's width and height, not required, but will show the video as intended if the aspect ratio and size is correct.
	<meta property="og:video:height" content="1080">
	</head>

	import logging
	import os
	import sys
	import traceback
	from contextlib import contextmanager

	import diart.operators as dops
	import numpy as np
	import rich
	import rx.operators as ops

	# -- coding: utf-8 --
	# <nbformat>2</nbformat>

	# <markdowncell>

	# Kernel Density Estimation with SciPy
	# ====================================

	# <codecell>