MSIS 5633- Exam
True
A clear business need is amongst the most important big data analytics success factors. True False
True
A report is any communication artifact prepared with the specific intention of conveying information in a digestible form to whoever needs it, whenever and wherever they may need it. True False
c
A(n) ________ is a major component of a Business Intelligence system that is often browser based and often presents a portal or dashboard. a. Data warehouse b. ERP c. User interface d. OLTP
False
AI has many benefits and limitations. A benefit of AI machines that people often list is their lack of attention to non-task surroundings. True False
d
All of the following are among the major steps in data preprocessing, except? a. Data transformation b. Data consolidation c. Data reduction d. Data security
b
All of the following are among the technologies and applications of AI, except? a. Smart factories b. IoT c. Augmented reality d. Robo advisers
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 False
a
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. a. Intangible b. CRM c. Analytics d. Quantitative
False
Augmented reality is the application of knowledge derived from cognitive science (the study of the human brain). True False
True
Autonomous cars are considered as robots in motion. True False
c
Computer applications have moved from transaction processing and monitoring to other activities. Which of the following is not one of those activities? a. Problem analysis b. Cloud-based technologies c. Data monitoring d. Solution applications
True
Computerized support is used for organizational and managerial decisions that are responses to external pressures and to take advantage of market opportunities. True False
d
Which of the following is not among the tasks performed for data transformation? a. Discretize the data b. Normalize the data c. Create/derive new variables d. Sanitize the data
a
Which of the following is not among the words used to define big data? a. Vulnerability b. Velocity c. Variability d. Veracity
c
Which one of the following technologies is not directly related to Big Data? a. MapReduce b. Hadoop c. OLAP d. Spark
d
Which one of the following technologies was developed prior to the business intelligence era? a. Enterprise resource planning b. Data warehousing c. Relational database management systems d. All of the other answers are true
d
________ brings together hardware and software in a physical unit that is not only fast but also scalable on an as-needed basis. a. Hadoop b. Machine learning c. Data lakes d. Appliances
a
________ 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. a. Machine vision b. AI automation c. Machine learning d. Deep learning
c
________ is a Hadoop-based data warehousing-like framework that allows users to write queries in an SQL-like language. a. HBase b. HDFS c. Hive d. Flume
d
________ is a machine or a physical device or software or any combination of these three that with the cooperation of AI can accomplish a responsibility autonomously. a. Cognition b. Business intelligence c. Analytics d. Robot
a
________ is a technology that gives users the ability to communicate with a computer in their native language. a. Natural language processing b. Deep learning c. Computational linguistic d. Human perception
a
________ is a term commonly used for the analytic process of extracting actionable information from continuously flowing/streaming data. a. Stream analytics b. Social network analysis c. Machine learning d. Data analytics
d
________ is an open-source Big Data processing system developed to address the challenges of Big Data, especially the efficiency related challenges. a. Deep learning b. MapReduce c. Appliances d. Spark
d
________ is an open-source framework for processing, storing, and analyzing massive amounts of distributed, unstructured data. a. NoSQL b. HDFS c. MapReduce d. Hadoop
d
________ is the application of knowledge derived from the study of the human brain and computer science theories in order to simulate human thought processes. a. Shallow learning b. Computational linguistics c. Deep learning d. Cognitive computing
a
________ providers focus on bringing all the data stores into an enterprise-wide platform. a. Middleware b. Hardware design c. Data mining d. Simulation modeling
True
Properly integrating data from various databases and other disparate sources is not a trivial process. True False
False
Bill Inmon advocates the data mart bus architecture whereas Ralph Kimball promotes the hub-and-spoke architecture, a data mart bus architecture with conformed dimensions. True False
a
Business ________ are now extremely compressed, faster, and more informed across industries. a. Cycle times b. Problems c. Structures d. Challenges
False
Business intelligence is a specific term that describes a variety of information technology and data capturing focused system architectures. True False
d
Business problems addressed by big data analytics include all of the following, except? a. Regulatory compliance b. Risk management c. Identifying new products and market opportunities d. All of the other answers are true
c
Challenges of big data includes all of the following, except? a. Data governance b. Processing capabilities c. Lack of structured data d. Solution cost
True
Cloud computing enables information systems applications to dynamically scale up as workloads increase. True False
True
Compared to data lakes, retrieval process for data warehouses is significantly faster. True False
c
Which of the following is not among the systems often integrated into BI application? a. Legacy systems b. Databases c. Deep learning systems d. Enterprise systems
True
Data are often viewed as the lowest level of abstraction from which information and then knowledge is derived. True False
True
Data for good aims to use mostly publicly available data sources and business analytics and data science tools and techniques to create new understanding, awareness, and solutions to problems that affect the environment, large populations, and often less fortunate groups or minorities. True False
False
Data is the contextualization of information, also called "information set in context." True False
False
Data lake is a large storage location that can hold vast quantities of structured data in relational/tabular format for potential consumption by analytics processes. True False
a
In big data analytics, high performance computing includes all of the following, except? a. Business process reengineering b. In-database analytics c. In-memory analytics d. Grid computing
c
Data warehouses are intended to work with informational data used for online ________ processing systems. a. Transactional b. Media c. Analytical d. Middleware
False
Decision support system (DSS), analytics, and management information system (MIS) have precise definitions agreed to by most practitioners. True False
a
Deep learning uses ________ and plays a major role in dealing with complex applications that regular machine learning and other AI technologies cannot handle. a. Artificial neural technology b. Support vector machines technologies c. Decision tree technologies d. Ensemble modeling technologies
True
Descriptive analytics is often called reporting analytics with the goal of answering the question of "what happened." True False
False
Descriptive statistics is all about drawing inferences or conclusions about the characteristics of the population using a sample of the underlying data. True False
True
During the early days of analytics, data was often obtained from the domain experts using manual processes to build mathematical or knowledge-based models. True False
c
In comparing AI versus human intelligence (HI), which of the following is not true? a. AI is uninspired while HI is truly creative b. AI executed faster than HI c. AI is flexible while HI is rigid d. Consistency of AI is better than HI
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 False
False
Intelligent agents do not have the ability to learn by using and expanding the knowledge embedded in them. True False
a
Which of the following is not among the data collection issues in the decision-making process? a. Data may be highly structured b. Data may not be accurate or precise enough c. Data may be insecure d. Obtaining data may be expensive
c
Which of the following is not among the examples of decisions made automatically by rule-based expert systems? a. Small loan approvals b. Automatic pricing of products and services (when and how to change them) c. Automatic detection of homeland security threats d. Initial screening of job applicants
c
Following are abilities that are considered signs of human intelligence, except? a. Applying knowledge to manipulate environments and situations b. Responding quickly and successfully to a new situation c. Inferring in an irrational way while solving complex problems d. Recognizing and judging the relative importance of different elements in a situation
b
Following are all examples to AI technologies used in marketing, except? a. AI provides lead generation b. AI recruit new customers and customer orders c. AI increases customer loyalty using personalization d. AI mimics the expertise of in-store salespeople
d
Fundamental reasons for investing in BI must be ________ with the company's business strategy. a. Preceded b. Competed c. Contradicted d. Aligned
a
How are enterprise resources planning (ERP) systems related to supply chain management systems? a. Complementary systems b. Mutually exclusive systems c. None of these; these systems never interface d. Different terms for the same system
a
In the Opening Vignette on Sports Analytics, what type of modeling was used to predict offensive tactics? a. Heat maps b. Heuristics c. Sentiment analysis d. Multi-level decision trees
False
In the design phase of the human decision process, the problem or opportunity is defined based on all available data and information. True False
b
In what decade did separate information systems within the organizations begin to be integrated? a. 2000s b. 1980s c. 1970s d. 1990s
True
In-database processing refers to the integration of the algorithmic extent of data analytics into data warehouses. True False
False
Information systems that support such transactions as ATM withdrawals, bank deposits, and cash register scans at the grocery store represent online transaction processing systems (OLAP). True False
b
Intelligence is usually measured by which of the following tests? a. Cognition test (CQ) b. IQ test c. Sensitivity test d. Specificity test
False
Key performance indicators (KPI) are a set of metrics used to measure the efficiency of the computational infrastructure of a business intelligence system. True False
True
Logistic regression is a very popular, statistically sound, probability-based classification algorithm that employs supervised learning. True False
False
Major commercial business intelligence (BI) products and services were well established in the early 1970s. True False
False
Managing information on operations, customers, internal procedures, and employee interactions is the domain of cognitive science. True False
False
Moving the data into a data warehouse is usually the easiest part of creating and sustaining a data warehousing system. True False
True
One of the benefits of AI in business recruitment is its ability to conduct more efficient and standardized candidate screening. True False
d
Requirements of knowledge acquisition include all of the following, except? a. Identification of the feasibility of acquiring the knowledge b. Identification of the sources of the knowledge c. Identification of the type if knowledge d. Identification of the security and privacy issues
b
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. a. Processors b. Intelligent agents c. Subroutines d. CPUs
True
Spark is faster than Hadoop because it uses random access memory (RAM) instead of reading and writing intermediate data to disks. True False
a
Which of the following is not among the foundational enablers of AI? a. Intelligent agents b. Neurology c. IoT d. Statistics
c
Which of the following is not among the key issues with self-driving cars? a. Regulatory challenges b. Environmental challenges c. Safety challenges d. Lack of public trust
False
Stream analytics is a term commonly used for the analytic process of extracting actionable information from large volumes of multi-structure data stored in organizational databases. True False
True
Structured data is what data mining algorithms use and can be classified as categorical or numeric. True False
False
Successful BI is a tool developed by and developed for the information systems department. True False
b
The concept of intelligence is not simple; it is composed of all of the following, except? a. Perception b. Sensing c. Learning d. Reasoning
True
The hub-and-spoke data warehouse model uses a centralized warehouse feeding dependent data marts. 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
a
The most commonly cited benefits of Spark include all of the following, except? a. Preventing loss of data and information due to hardware failures through replications b. Order of magnitude faster processing of big data c. A unified engine that supports highly efficient SQL queries, streaming data, machine learning and graph processing d. A revamped APIs designed for ease of use, especially for processing of unstructured and semi-structured data
False
The process of automated decision making starts with knowledge refinement. True False
d
The use of AI has been driven by all of the following forces, except? a. The development of new technologies, particularly cloud computing b. The pressure on management to increase productivity and speed c. The low cost of AI applications versus the high cost of manual labor d. To outsource time demanding manual labor to offshore companies
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 False
c
To create a fact-based decision-making culture, senior management needs to do all of the following, except? a. Stress that outdated methods must be discontinued b. Recognize that some people can't or won't adjust c. Rely on the experiences and intuitions of the senior personnel d. Be a vocal supporter of fact-based decision making
b
Today, many vendors offer diverse tools, some of which are completely preprogrammed (called shells). How are these shells utilized? a. The shell provides a secure environment for the organization's BI data b. All a user needs to do is insert the information and data c. They host an enterprise data warehouse that can assist in decision making d. They are used for customization of BI solutions
d
Which of the following is not among the reasons to use Hadoop, instead of Spark? a. Completing jobs that are not time-sensitive b. Building data analysis infrastructure with a limited budget c. Batch processing with tasks that exploit disk read and write operations d. Graph-parallel processing to model data
a
Which of the following is not among the reasons to use Spark, instead of Hadoop? a. Processing big data sets in environments where data size exceeds available memory b. Analyzing stream data analysis in real time c. Achieving quick results with in-memory computations d. Dealing with chains of parallel operations by using iterative algorithms
True
We like to see computerized decision-making being simpler, easier to use, more intuitive, and less threatening. True False
c
Well-defined business problems and opportunities is the outcome of ________ analytics. a. Predictive b. Prescriptive c. Descriptive d. Social
b
What is the difference between machine vision and computer vision? a. Machine vision is more accurate in recognition of images, while computer vision is more accurate in detecting objects b. Machine vision is an engineering subfield, while computer vision belongs to computer science c. Machine vision is about detecting, while computer vision is about sensing d. There is no difference, they are the same
c
What type of analytics is used to make decisions to achieve the best performance possible? a. Domain b. Descriptive c. Prescriptive d. Predictive
c
Where does Big Data come from? a. Business processes and their data repositories b. IoT devices c. Everywhere d. Internet and intranet
d
Which of the following developments is not contributing to facilitating growth of decision support and analytics? a. Knowledge management b. Data management c. Collaboration technologies d. Locally concentrated workforces
c
Which of the following is a true statement about linear and logistic regression? a. Linear regression can have only one input variable, but many output variables b. Both linear and logistic regression can use numerical as well as non-numeric input variables c. Logistic regression is a classification method d. Linear regression predicts a non-numerical output variable
a
Which of the following is among the reasons for data preprocessing? a. Raw data is usually dirty, misaligned, and inaccurate b. Data in its original form is the most useful for analytics tasks c. Real-world data always comes in unstructured forma that needs to be structured d. The raw data that comes in non-numeric format needs to be converted to numbers
b
Which of the following is not a phase in human decision-making process? a. Choice b. Analytics c. Design d. Intelligence
d
Which of the following is not a true statement about AI machines and their limitations? a. AI machine may cause some people to lose their jobs b. AI machine can start to think by themselves, causing significant damage c. AI machines can be programmed to create destruction d. AI machines limitations are increasing with time
b
Which of the following is not a type of intelligence? a. Musical b. Physical c. Logical d. Linguistic and verbal
b
Which of the following is not among the big data technologies? a. MapReduce b. RDBMS c. HDFS d. Hadoop
b
Which of the following is not among the capability levels of AI systems? a. Augmented intelligence b. Augmented reality c. Assisted intelligence d. Autonomous AI
b
Which of the following is not among the critical success factors for Big Data analytics adoption? a. A clear business need that aligns with the vision and the strategy b. Intuition and experience based decision-making culture c. Strong data infrastructure d. Alignment between the business and IT strategy
