Predictive Analytics

________ is the integration of digital information with the user environment in real time (mostly vision and sound) to provide users interactive experience with the environment. Virtual reality Immersive reality Deep reality Augmented reality

Augmented reality

Which of the following is not among the examples of decisions made automatically by rule-based expert systems? Initial screening of job applicants Automatic pricing of products and services (when and how to change them) Small loan approvals Automatic detection of homeland security threats

Automatic detection of homeland security threats

Which of the following is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies? MIS ERP BI DSS

BI

Which one of the following technologies was developed after the business intelligence era? Big data analytics Enterprise resource planning Relational database management systems Data warehousing

Big data analytics

Which one of the following technologies was developed after the business intelligence era? Enterprise resource planning Big data analytics Data warehousing Relational database management systems

Big data analytics

________ includes the technology and methods used to provide imaging-based automated inspection and analysis for applications such as robot guidance, process control, and autonomous vehicles. Machine vision Machine learning Deep learning AI automation

Machine vision

What is the difference between machine vision and computer vision? Machine vision is an engineering subfield, while computer vision belongs to computer science Machine vision is more accurate in recognition of images, while computer vision is more accurate in detecting objects Machine vision is about detecting, while computer vision is about sensing There is no difference, they are the same

Machine vision is an engineering subfield, while computer vision belongs to computer science

________ providers focus on bringing all the data stores into an enterprise-wide platform. Simulation modeling Middleware Data mining Hardware design

Middleware

________ is a technology that gives users the ability to communicate with a computer in their native language. Natural language processing Deep learning Human perception Computational linguistic

Natural language processing

In big data analytics, ________ is a workflow processing system that lets users define a series of jobs written in multiple languages and then intelligently link them to one another. Oozie Flume Hive HBase

Oozie

The analytics type that provides estimation of the future values of variables of interest is often called ________ analytics. Predictive Descriptive Automated Social

Predictive

What type of analytics seeks to determine what is likely to happen in the future? Predictive Descriptive Domain Prescriptive

Predictive

What type of analytics is used to make decisions to achieve the best performance possible? Domain Prescriptive Predictive Descriptive

Prescriptive

Which of the following is among the reasons for data preprocessing? Real-world data always comes in unstructured forma that needs to be structured The raw data that comes in non-numeric format needs to be converted to numbers Raw data is usually dirty, misaligned, and inaccurate Data in its original form is the most useful for analytics tasks

Raw data is usually dirty, misaligned, and inaccurate

Deep learning is mostly useful in real-time interactive applications in the areas of all of the following, except? Robotics Speech and voice processing Reconnaissance Machine vision

Reconnaissance

The competitive imperatives for BI include all of the following, except? Right information Right time Right user Right place

Right place

Which of the following is not true about robots? Robots has true intelligence to create new knowledge and behavior much like human do Robots can be fully autonomous or can be remotely controlled by a human Autonomous robots are equipped with AI intelligent agents Androids are robots that resemble humans

Robots has true intelligence to create new knowledge and behavior much like human do

Which of the following is not among the key issues with self-driving cars? Regulatory challenges Lack of public trust Safety challenges Environmental challenges

Safety challenges

The concept of intelligence is not simple; it is composed of all of the following, except? Perception Sensing Reasoning Learning

Sensing

________ is among the key enablers of prescriptive analytics. Simulation Data warehousing RDBM Data mining

Simulation

What has caused the growth of the demand for instant, on-demand access to dispersed information? The fact that BI cannot simply be a technical exercise for the information systems department The increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level The need to create a database infrastructure that is always online and contains all the information from the OLTP systems The more pressing need to close the gap between the operational data and strategic objectives

The more pressing need to close the gap between the operational data and strategic objectives

What has caused the growth of the demand for instant, on-demand access to dispersed information? The more pressing need to close the gap between the operational data and strategic objectives The need to create a database infrastructure that is always online and contains all the information from the OLTP systems The fact that BI cannot simply be a technical exercise for the information systems department The increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level

The more pressing need to close the gap between the operational data and strategic objectives

AI machines provide speed, accuracy, and efficiency in performing insurance claims, but cannot assist in the underwriting process. True or False

True

According to CIO Insight magazine, intelligent computer technologies will include self-initiating, creative robots, and fully automated decisioning systems. True or False

True

Although intelligence is usually measured by an IQ test, it may not be an optimal measure since there are several different types of intelligence. True or False

True

Computer applications have moved from transaction processing and monitoring activities to problem analysis and decision support applications. True or False?

True

Computerized support is used for organizational and managerial decisions that are responses to external pressures and to take advantage of market opportunities. True or False?

True

Data accessibility means that the data are easily and readily obtainable. True False

True

Data are often viewed as the lowest level of abstraction from which information and then knowledge is derived. True False

True

Data is the main ingredient, or row material, for any BI, data science, and business analytics initiative. True False

True

Data preprocessing is a tedious and time-demanding process necessary to convert the raw real-world data into a well-refined form for analytics algorithms. True False

True

Data warehouses are intended to work with informational data used for online transaction processing (OLTP) systems. True or False?

True

Intelligent agents are effective tools for overcoming the most critical burden of the Internet information overload and making computers more viable decision support tools. True or False

True

Lack of human touch is considered as one of the limitations of AI machines. True or False

True

Many business users in the 1980s referred to their mainframes as "the black hole," because all the information went into it, but little ever came back, and ad hoc real-time querying was virtually impossible. True or False?

True

Many experts agree that AI is concerned with two basic ideas: (1) the study of human thought processes (to understand what intelligence is) and (2) the representation and duplication of those thought processes in machines. True or False

True

Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining is most closely related to predictive analytics. True or False?

True

Structured data is what data mining algorithms use and can be classified as categorical or numeric. True False

True

The main benefit of Hadoop is that it allows enterprises to process and analyze large volumes of unstructured and semi-structured data in a cost and time-effective manner. True False

True

The use of dashboards and data visualizations is often very effective in identifying issues and opportunities in organizations. True or False?

True

The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case study, is an example of the effectiveness of data analytics. True or False?

True

Traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data warehouse to produce reports and analyses. True or False?

True

We like to see computerized decision-making being simpler, easier to use, more intuitive, and less threatening. True or False

True

The ________ is a well-known attempt to measure the intelligence level of AI machines. Competency test IQ test Cognitive test Turing test

Turing test

Which of the following is not a method used in dimensional reduction? Run appropriate statistical tests Use the findings of the previously published studies Consult to domain experts' knowledge/opinion Use normalized numerical variables

Use normalized numerical variables

A(n) ________ is a major component of a Business Intelligence system that is often browser based and often presents a portal or dashboard. ERP OLTP Data warehouse User interface

User Interface

Which of the following is not among the words used to define big data? Variability Vulnerability Velocity Veracity

Vulnerability

Which of the following is not among the reasons to seriously consider embarking on a Big Data journey? You can't process the amount of data that you want to because of the limitations posed by your current platform or environment. You want to follow the data analytics processes taken by the leading companies in your global and highly competitive marketplace. You need to and/or you want to integrate data as quickly as possible to be current on your analysis. You want to involve new/contemporary data sources (e.g., social media, text, image, etc.) into your analytics platform, but you can't because it does not comply with the data storage schema.

You want to follow the data analytics processes taken by the leading companies in your global and highly competitive marketplace.

In what decade did separate information systems within the organizations begin to be integrated? 1980s 1990s 1970s 2000s

1980s

Relational databases began to be used in which of the following time windows? 1970s 1990s 1980s 1960s

1980s

The time between new paradigm shifts in information systems and particularly in analytics has been getting longer. True or False?

False

To respond to the market challenges, SiriusXM decided to focus on production efficiency. True False

False

Which of the following is not a true statement about AI machines and their limitations? AI machines limitations are increasing with time AI machine may cause some people to lose their jobs AI machine can start to think by themselves, causing significant damage AI machines can be programmed to create destruction

AI machines limitations are increasing with time

Following are all examples to AI technologies used in marketing, except? AI increases customer loyalty using personalization AI provides lead generation AI recruit new customers and customer orders AI mimics the expertise of in-store salespeople

AI recruit new customers and customer orders

Fundamental reasons for investing in BI must be ________ with the company's business strategy. Competed Preceded Contradicted Aligned

Aligned

Today, many vendors offer diverse tools, some of which are completely preprogrammed (called shells). How are these shells utilized? The shell provides a secure environment for the organization's BI data All a user needs to do is insert the information and data They host an enterprise data warehouse that can assist in decision making They are used for customization of BI solutions

All a user needs to do is insert the information and data

Today, many vendors offer diverse tools, some of which are completely preprogrammed (called shells). How are these shells utilized? They are used for customization of BI solutions The shell provides a secure environment for the organization's BI data They host an enterprise data warehouse that can assist in decision making All a user needs to do is insert the information and data

All a user needs to do is insert the information and data

Which one of the following technologies was developed prior to the business intelligence era? All of the other answers are true Data warehousing Answered Relational database management systems Enterprise resource planning

All of the other answers are true

Data warehouses are intended to work with informational data used for online ________ processing systems. Transactional Analytical Middleware Media

Analytical

Deep learning uses ________ and plays a major role in dealing with complex applications that regular machine learning and other AI technologies cannot handle. Ensemble modeling technologies Support vector machines technologies Decision tree technologies Artificial neural technology

Artificial neural technology

Which of the following is not among the capability levels of AI systems? Augmented intelligence Assisted intelligence Autonomous AI Augmented reality

Augmented reality

Which of the following is not true about big data? Big data is not just big volumes of data, it is also about the wide variety of data Big data is created in high speed, which can make it hard to collect and process Big data comes from the transactional databases withing the organization Big data can include structured as well as unstructured data

Big data comes from the transactional databases withing the organization

________ is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. Business intelligence Social media Prescriptive analytics ERP

Business Intelligence

In big data analytics, high performance computing includes all of the following, except? Grid computing In-memory analytics Business process reengineering In-database analytics

Business process reengineering

Predicting whether the customer is likely to switch to a competitor is often called ________ analysis. Churn Competitive Collaborative Social

Churn

Which of the following is a part of the design phase of the human decision-making process? Identify the problem Search and scan the procedures Collect data Formulate a model

Collect data

How are enterprise resources planning (ERP) systems related to supply chain management systems? Different terms for the same system Mutually exclusive systems Complementary systems None of these; these systems never interface

Complementary systems

Business ________ are now extremely compressed, faster, and more informed across industries. Problems Challenges Cycle times Structures

Cycle times

The user interface of a BI system is often referred to as a ________. Simulation CRM Middleware Dashboard

Dashboard

Which of the following is not among the characteristics (metrics) that define the readiness level of data for an analytics study? Data richness Data believability Data granularity Data source reliability

Data believability

Which of the following is not among the data collection issues in the decision-making process? Data may be insecure Data may be highly structured Obtaining data may be expensive Data may not be accurate or precise enough

Data may be highly structured

Managing information on operations, customers, internal procedures, and employee interactions is the domain of cognitive science. True or False?

False

Ordinal data is a sub-part of the numerical data category within the data taxonomy. True False

False

Successful BI is a tool developed by and developed for the information systems department. True or False?

False

The growth in hardware, software, and network capacities were the core contributors to the proliferation of decision support and analytics systems. True or False?

False

A(n) ________ is a major component of a Business Intelligence system that holds source data. ERP Software agent OLTP Data warehouse

Data warehouse

Which of the following was not included in the technologies listed as intelligent ones by CIO Insight? IoT Self-driven vehicles Advanced robotics Deep machine learning

Deep machine learning

Well-defined business problems and opportunities is the outcome of ________ analytics. Prescriptive Descriptive Social Predictive

Descriptive

Well-defined business problems and opportunities is the outcome of ________ analytics. Prescriptive Predictive Descriptive Social

Descriptive

________ analytics help managers understand what happened and help them identify problems and opportunities. Social Predictive Descriptive Associative

Descriptive

With ________, all the data from every corner of the enterprise is collected and integrated into a consistent schema so that every part of the organization has access to the single version of the truth when and where needed. Analytics Data warehouse ERP CRM

ERP

With ________, all the data from every corner of the enterprise is collected and integrated into a consistent schema so that every part of the organization has access to the single version of the truth when and where needed. CRM ERP Analytics Data warehouse

ERP

Following are among the reasons for the use of AI in human resource management, except? Eliminating inequalities in pay rates Reducing human bias in recruiting Increasing efficiency, productivity, and insight in evaluating job candidates Improving relationships with current employee

Eliminating inequalities in pay rates

AI activities and applications in the banking industry have been solely focused on back-office operations. True or False?

False

Big data is defined solely by its sheer volume, which can be at the Exabyte or Zettabyte levels. True False

False

Business analytics continuum starts with predictive analytics, continues with descriptive analytics and ends with prescriptive analytics. True or False?

False

Every robotics scientist has the same view about the definition of robot: an AI enhanced software and hardware that looks like a human. True or False

False

Highly complex, creativity requiring decisions are more likely to be fully automated by AI and intelligent agents. True or False?

False

In the design phase of the human decision process, the problem or opportunity is defined based on all available data and information. True or False?

False

In the design phase of the human decision process, the problem or opportunity is defined based on all available data and information. True or False?

False

Interval data are numerical variables that have an absolute zero reference point. True False

False

The knowledge representation methods depend on all of the following, except? How users will interact with the knowledge Hardware and software limitations of the knowledge-based systems How the reasoning from this knowledge will be done What the knowledge will be used for

Hardware and software limitations of the knowledge-based systems

Which one of the following is not among the data engineering challenges? Lack of data governance High volumes of data No real-time access No clear boundaries in the data flows

High volumes of data

Which one of the following is not among the data engineering challenges? No real-time access High volumes of data Lack of data governance No clear boundaries in the data flows

High volumes of data

Requirements of knowledge acquisition include all of the following, except? Identification of the type if knowledge Identification of the feasibility of acquiring the knowledge Identification of the sources of the knowledge Identification of the security and privacy issues

Identification of the security and privacy issues

As the number of potential BI applications increases, the need to justify and prioritize them arises. This is not an easy task due to the large number of ________ benefits. CRM Intangible Analytics Quantitative

Intangible

Which of the following is not among the steps of the decision-making process that does not get support from AI? Identification of problems Generating alternative solutions Integration of disparate information sources Selecting a solution

Integration of disparate information sources

Software instances referred to as ________ can be placed on a separate server in the network and use event- and process-based approaches to measure and monitor operational processes. Intelligent agents CPUs Subroutines Processors

Intelligent agents

The overall goal of AI is to create ________ that are capable of executing a variety of tasks currently done by people. Decision trees Intelligent machines Humanoid Framework

Intelligent machines

Which of the following developments is not contributing to facilitating growth of decision support and analytics? Locally concentrated workforces Knowledge management Data management Collaboration technologies

Locally concentrated workforces