Mudit emptyr1

Jennifer Zhao | SQL Problems Collection | 2018-02-22 22:14:27

##Google Interview Questions: Product Marketing Manager

Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
If you are Product Manager for Google’s Adwords, how do you plan to market this?
What would you say during an AdWords or AdSense product seminar?
Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go

	<!DOCTYPE html>
	<html>
	<head>
	<title>Music Player</title>
	<link rel="stylesheet" href="player.css">
	</head>
	<body>
	<img src="./assets/images/lemonade.png" id="background" />
	<audio src="./assets/music/beyonce.mp3" id="song"></audio>

	import os
	import time
	import sys
	from datetime import date, timedelta

	sdate = date(2019, 3, 1) # start date
	edate = date(2019, 3, 31) # end date

	delta = edate - sdate # as timedelta
	date_str = []

	// This example shows how to use row_number and rank to create
	// a dataframe of precipitation values associated with a zip and date
	// from the closest NOAA station

	import org.apache.spark.sql.expressions.Window
	import org.apache.spark.sql.functions._

	// mocked NOAA weather station data
	case class noaaData(zip:String,station:String,date:Long,value:String=null,distance:Int)
	val t = Seq(

	FROM continuumio/anaconda3
	MAINTAINER muppal

	ARG ZEPPELIN_VERSION="0.8.1"
	ARG SPARK_VERSION="2.4.1"
	ARG HADOOP_VERSION="2.7"

	LABEL zeppelin.version=${ZEPPELIN_VERSION}
	LABEL spark.version=${SPARK_VERSION}
	LABEL hadoop.version=${HADOOP_VERSION}

	%matplotlib inline
	%config InlineBackend.figure_format = 'retina'
	import matplotlib.pyplot as plt
	import seaborn as sns
	plt.style.use('ggplot')
	plt.rcParams["figure.figsize"] = (20,10)

	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console

	package main

	import (
	"fmt"
	"time"
	)

	// Suggestions from golang-nuts
	// http://play.golang.org/p/Ctg3_AQisl