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bsan 310 final

front 1

How do slicers enhance an Excel dashboard?

back 1

By allowing users to filter data visually and interactively

front 2

One-way ANOVA is most appropriate when you want to:

back 2

Compare means across three or more independent groups

front 3

Which AI tool is best for direct data analysis — allowing users to upload CSV/Excel files and ask questions in plain English to receive regressions, forecasts, and visualizations?

back 3

Julius AI

front 4

If df.shape returns (1000, 15), this means:

back 4

The dataset has 1000 rows and 15 columns

front 5

The operation df.groupby('category')['rating'].mean() is used to:

back 5

Calculate the average rating for each product category

front 6

How does Apple's decision-making approach differ from that of most companies?

back 6

It encourages collaborative debate between functional experts rather than top-down directives

front 7

Which of the following metrics measures forecast accuracy?

back 7

MAD

front 8

What does a business 'Agent' do that distinguishes it from a traditional Chatbot?

back 8

It lets the LLM decide the path at runtime and loops between thought, action, and observation

front 9

One of the goal of data architecture is to manage data and its flow through the enterprise. It follows a set of principles. Which of the following is a principle of data architecture?

back 9

Provide user interfaces for consuming data.

front 10

Why is business analytics described as 'uniquely well-suited' for agentic AI?

back 10

Because analytics tasks are tool-rich (SQL, Python, sheets) and goal-driven — exactly the conditions under which agents outperform single-shot LLM calls

front 11

Which SQL function is used to count the number of rows in a table?

back 11

COUNT()

front 12

What is the benefit of using a PivotTable in a dashboard?

back 12

It allows users to create dynamic charts and summaries easily

front 13

Which tool is best for 'long, parallelizable analytics tasks'?

back 13

Kimi K2.5

front 14

Which of the following statements is False?

back 14

Euclidean distance does not allow for diagonal movement, which may lead to inaccurate similarity assessments in high-dimensional spaces.

front 15

What does "Generalization" mean in the context of Machine Learning?

back 15

The ability of a model to make accurate predictions on unseen data

front 16

Which of the following is a common mistake when choosing a chart type for data visualization?

back 16

Using a pie chart with too many variables

front 17

Which of the following statement is INCORRECT in the perspective of data architecture and data modeling?

back 17

Data architecture is about the micro view that seeks to understand and support the relationships between an organization’s functions, technology, and data types.

front 18

In a linear programming problem, the objective function represents:

back 18

The quantity to be maximized or minimized

front 19

Which of the following best describes “phishing” as a cybersecurity threat?

back 19

Trickery used to obtain sensitive information by impersonating trusted entities

front 20

What does a lower MAPE value indicate about a forecasting model?

back 20

The forecast is more accurate

front 21

What is an example of disruptive technology?

back 21

Computers with word processors replacing typewriters

front 22

Which of the following describes Porter’s Generic Competitive Strategies?

back 22

Strategies for gaining a competitive advantage in the market

front 23

What is the primary function of similarity measures in data mining?

back 23

To quantify how data points are alike based on specific mathematical functions.

front 24

Which of the following is not one of the three core characteristics of cloud computing?

back 24

Fully managed by the user

front 25

Which regulation is specifically designed to protect the personal data of European Union citizens?

back 25

GDPR

front 26

Which algorithm is used for dimensionality reduction in Machine Learning?

back 26

Principal Component Analysis (PCA)

front 27

Which Excel feature is commonly used to filter data interactively on a dashboard?

back 27

Slicer

front 28

Pivot Tables are essential in dashboard creation because they:

back 28

Summarize and aggregate large datasets dynamically without changing source data

front 29

What is the primary purpose of Google's NotebookLM

back 29

To summarize long files and websites, and generate structured notes and study guides

front 30

In data inspection, conditional formatting is most useful for:

back 30

Visually identifying patterns such as missing values or outliers

front 31

In the context of linear programming, 'slack' refers to:

back 31

The unused portion of a resource constraint

front 32

Excel Solver is most appropriately used to:

back 32

Find optimal values for decision variables subject to constraints

front 33

Which of the following is a benefit of data literacy within an organization?

back 33

Improved cross-functional collaboration

front 34

What was the primary organizational change Steve Jobs implemented upon returning to Apple in 1997?

back 34

Eliminating general managers and restructuring into a functional organization

front 35

Why does Apple avoid tying senior R&D executives’ bonuses to individual product performance?

back 35

To encourage long-term innovation without short-term financial pressure

front 36

Each organization strives to be ethical, to be legally, and morally strong. Which of the following is NOT one of the principles of data ethics in the organization?

back 36

Foresightedness

front 37

Which of the following best describes strategy risks according to Kaplan and Mikes’ framework?

back 37

Risks taken voluntarily in pursuit of superior returns

front 38

In the context of a confusion matrix, what does a high false negative (FN) rate indicate in a fraud detection model?

back 38

The model is misclassifying a large number of fraudulent transactions as non-fraudulent.

front 39

Which algorithm is commonly used for clustering in unsupervised learning?

back 39

K-Means

front 40

Which library is commonly used in Google Colab for handling Excel files?

back 40

Pandas

front 41

Which of the following scenarios would most likely result in an underfitted model?

back 41

A decision tree with minimal depth that fails to capture patterns in the data.

front 42

A retail chain randomly selects entire cities for a sales performance survey, and all stores within those cities are included. Which sampling method is this, and what advantage does it provide?

back 42

Cluster sampling – simplifies data collection from large, dispersed populations

front 43

Which SQL clause is used to sort the result set of a query?

back 43

ORDER BY

front 44

Which Excel function would be most appropriate to count how many houses in the dataset have exactly 3 bedrooms AND are located in Seattle?

back 44

COUNTIFS()

front 45

A firm identifies that 25% of its records contain missing values for “Customer Income.” It chooses to compute averages from the same geographic area and fill these gaps. This practice best exemplifies:

back 45

Imputation

front 46

In an adjacency matrix for an undirected graph, which of the following is always true?

back 46

The matrix is symmetric (entry i,j equals entry j,i)

front 47

Which of the following best describes Platform-as-a-Service (PaaS) in cloud computing?

back 47

It delivers tools and infrastructure for developers to build applications over the Internet

front 48

What is the main challenge of reinforcement learning?

back 48

Balancing exploration and exploitation

front 49

What is the purpose of the PRIMARY KEY in a table?

back 49

To uniquely identify each record in a table

front 50

Converting a data range into an Excel Table (using Insert > Table) provides which primary advantage for data analysis?

back 50

It enables structured references and dynamic formulas that adjust as data changes

front 51

What does ERP stand for?

back 51

Enterprise Resource Planning

front 52

In network analysis, what do 'nodes' and 'edges' represent respectively?

back 52

Entities (e.g., people, companies) and the relationships or connections between them

front 53

What keyword is used to filter records in SQL?

back 53

WHERE

front 54

Microsoft’s acquisition of LinkedIn illustrates which core dimension of data monetization strategy?

back 54

Transformation of user engagement into revenue through enhanced contextual targeting

front 55

What lesson can other companies learn from Apple's approach to innovation?

back 55

Aligning decision-making authority with technical expertise can lead to sustained innovation

front 56

A logistics company wants to place a new distribution center so it can reach all retail locations with the fewest delivery hops. Which centrality measure should they prioritize?

back 56

Closeness Centrality — to find the location closest to all others

front 57

Which of the following is a common mistake in database design?

back 57

Ignoring Normalization, Communication issues between the business and tech, Redundant tables and fields

front 58

In regression output, a p-value less than 0.05 for a predictor variable (e.g., square footage) indicates:

back 58

The variable has a statistically significant relationship with the outcome

front 59

Based on the MIT finding that 83.3% of users could not recall sentences they wrote minutes earlier when using AI, what is a key concern for business analytics professionals?

back 59

Over-reliance on AI may reduce critical thinking

front 60

The R-squared value in regression analysis tells you:

back 60

The proportion of variance in the dependent variable explained by the independent variables

front 61

Which of the following statements is NOT correct?

back 61

Discovery Bank in South Africa believes there’s a correlation between fiscal responsibility and family size.

front 62

According to Gartner’s definition, which of the following is NOT a component of data literacy?

back 62

The capability to modify database schemas.

front 63

What is the primary function of data governance in an organization?

back 63

Controlling how data is stored, accessed, and maintained.

front 64

Which of the following best describes a decision variable in an optimization model?

back 64

A controllable factor that directly influences the outcome of an optimization problem.

front 65

What is the primary purpose of a Data as a Service (DaaS) model?

back 65

To provide on-demand access to data without managing infrastructure.

front 66

What is an example of predictive analytics in business?

back 66

None of the option

front 67

Which of the following statements is not a key principle of quality data?

back 67

Management success and quality data are inextricably linked.

front 68

Which of the following cloud computing service models provides a complete development and deployment environment without managing the underlying infrastructure?

back 68

Platform as a Service (PaaS)

front 69

What is the primary objective of data management in business analytics?

back 69

To organize, access, and govern data for improved decision-making

front 70

Effective data monetization can be a source of competitive advantage. Which of the following approaches is NOT related to data monetization?

back 70

Connecting suppliers to customers in the value chain

front 71

How does federated learning enhance data privacy in Big Data applications?

back 71

By training on decentralized devices without sharing raw data.

front 72

Which of the following is an example of semi-structured data?

back 72

JSON

front 73

Which of the following statements is NOT correct?

back 73

Data brokers' data can not be used for harmful purposes, such as identity theft, fraud, or targeted discrimination

front 74

Why is fixing data errors through cleanup considered ineffective?

back 74

It is expensive and time-consuming, and new errors keep emerging if the root cause is not addressed.

front 75

What is the primary role of business analytics in organizations?

back 75

To support data-driven decision-making using statistical and quantitative methods

front 76

Which of the following is False?

back 76

Cloud computing increases data processing latency by performing computations closer to data sources.

front 77

If you plan to start a real state business, which data brokers should you ask for data analytics?

back 77

CoreLogic

front 78

Which type of decision model assumes that all input parameters are known with certainty?

back 78

Deterministic Model

front 79

Which of the following statements is NOT correct?

back 79

Cloud computing is public, meaning that your data is also public.

front 80

What is the primary goal of start-ups like Trifacta and Paxata in the big data industry?

back 80

To automate the processes of data gathering, cleaning, and preparation.

front 81

Which of the following state is NOT correct for data brokerage?

back 81

They regulate the internet and monitor online activity for security purposes.

front 82

Which of the following tools provide the capability of data preparation with analytics?

back 82

Rocket

front 83

Which of the following options is correct?

back 83

McKinsey Triangle - Analyzing, Managing, and Presenting

front 84

Which of the following is NOT a real-world application of optimization in business?

back 84

Predicting stock market trends using historical data.

front 85

What kind of data does Apple collect when users send messages via iMessage?

back 85

encrypted text and anonymized metadata

front 86

Which of the following statements is correct?

back 86

Unlike physical assets, data increases in value when used multiple times.

front 87

How do data brokers collect consumer information?

back 87

By tracking social media posts, online transactions

front 88

In the McKinsey Global Institute study, what was identified as the primary economic impact of Big Data?

back 88

Transformation of economies by increasing productivity growth and consumer surplus.

front 89

Why is prescriptive analytics considered more advanced than predictive analytics?

back 89

It predicts future events with specific actions to achieve desired outcomes.

front 90

Which of the following tools is NOT used in Excel’s What-If Analysis?

back 90

Monte Carlo Simulation

front 91

Which of the following is NOT a key task in data wrangling?

back 91

Encryption

front 92

Which of the following statement is NOT correct?

back 92

Structured data is stored in databases with undefined schemas, while unstructured data follows some kind of tagging or metadata.

front 93

Why do companies like Amazon, and Capital One dominate their industries?

back 93

They use analytics across multiple business functions.

front 94

According to research, what percentage of business contacts experience some form of data change within a year?

back 94

70.8%

front 95

What is the primary reason organizations implement data localization laws?

back 95

None of the options

front 96

What was one of the major incentives for Microsoft's acquisition of LinkedIn in 2016?

back 96

To leverage LinkedIn’s user data for monetization through targeted advertising and professional insights.

front 97

Which of the following statements is NOT correct?

back 97

None of the options

front 98

What is digital mindset?

back 98

The attitudes and behaviors that enable people to see opportunities in data, AI, and algorithms.

front 99

Which of the following statements is NOT correct?

back 99

With PaaS, an organization shifts its hardware to the cloud by renting servers and data storage instead of buying and managing its own.