Data cleansing Amy needs to remove incomplete records from a data table. To complete these tasks, Ryans team will need to pull more information and insights from their existing datasets.What analytics tool will help them explore this data to identify patterns they can use to make predictions about which strategies will work best for each identified population?A$.$Genetic algorithm.B$.$Linear programming.C$.$Time series analysis.D$.$Data mining.Question $2$Bob : Theres such a huge variety of data types. How are we supposed to work with all of this?You: We have ways of handling $\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_$ data that accounts for the variety and even benefits from it$.$ It's challenging at the beginning, especially in the design phase, but there are rich insights available when it's done well.A$.$HistoricalB.MedicalC.structuredD.unstructuredQuestion $31.$ Peyton uses big data projections to determine which customers are most likely to cancel their insurance policy within the next two monthsChoose a matchThe insurance database Kevin is working on migrating to the cloud consists of more than a trillion records and grows by about $7,000,000$ records each day.Choose a matchPiper relies on live sales data at major sports event to determine whether to buy additional advertising space on Google during the event.Choose a matchAndy's company recently experienced extensive backlash for inaccurately predicting the outcome of a key election due to relying too heavily on data built from social media posts.Choose a matchQuestion $4$The marketing department needs to maximize consumer interest in the company's new financial services by sending marketing emails, targeted ads and text at prescribed intervals throughout the initial process of attracting and building a relationship with a customer. Riyadh's team has a large amount of data from previous marketing campaigns that they can analyze to develop a recommended schedule. Taking into account a large variety of factors about different types of customers.What kind of technique will this task force need to employ in order to make these recommendations?A$.$Simulation.B$.$OptimizationC.Descriptive analytics.D$.$Predictive analyticsQuestion $5$Kim: Has I understand it$?$ Your recommendations are based on analyzing more data. More kinds of data, not just analyzing the usual data differently.You: Exactly instead of looking at a few disparate databases, we combine diverse sets of raw data in sensually into one giant $\_\_\_\_\_\_\_\_\_\_\_\_\_\_,$ which. Different departments can pull from and process in ways that are specific to their needs. The raw data includes business transactions, clickstream data, sensor data, server logs$,$ social media posts, videos, customer service call recordings, and many other resources.A$.$data lakeB.data warehouseC.data governance.D$.$datamart.Question $6$Kim: What's so different about the way you're working with the data now?You: Our older$\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_$ system, stored and processed data quickly and efficiently but were much more limited in what kinds of data they could use and the kinds of relationships they could discover. Today's systems can examine many more types of data. From much larger and more diverse data collections to develop more sophisticated insights for decision making.A$.$HadoopB.ELT.C$.$WhoopD.OLTPQuestion $7$While there are three key components that must be in place for an organization to get real value from its BI and analytics efforts, the one that is first and foremost is the existence of a solid data management system. True or false?TrueFalseQuestion $8$Encouragement of self$-$service analytics almost assuredly will eliminate the risk of erroneous analysis and reporting, and the problem of different analysis yielding inconsistent conclusions. True or false?TrueFalseQuestion $9$KIM: That sounds amazing. What kind of technology lets you access all the data in any sort of organized manner?YOU: We use the open$-$source $\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_$ framework which offers several modules to let us$.$ Choose the tools we need to store and process massive amounts of data. It distributes the data across an entire server farm to create a highly redundant computing environment.A$.$Hadoop.B$.$ELT.C$.$WhoopD.OLTP