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NEW QUESTION # 75
The outcome from an analytics initiative has resulted in key stakeholders wanting to move forward with a project to redesign the company's website. The business analyst has called a meeting to work on drafting a plan to assess the level of effort required to complete this work. Many of the invited participants redesigned the website before and were invited so they could provide estimates using their knowledge and experience from the past. The business analyst is using which method to estimate this work?
- A. Parametric
- B. Rough order of magnitude
- C. Rolling wave
- D. PERT
Answer: B
Explanation:
Explanation
The business analyst is using the rough order of magnitude method to estimate this work. This method is based on expert opinion or experience from past projects, and it provides a quick and approximate estimate of the cost, time, or effort required for a project or a task. This method is useful when there is limited information or data available, or when a high-level estimate is needed for planning or budgeting purposes. However, this method also has a high degree of uncertainty and variability, and it should be refined as more details become available12 References: 1: Project Estimation Techniques Business Analysts Should Know About 2:
Estimation techniques for business analysts - The Functional BA
NEW QUESTION # 76
What is the relationship between a Customer entity and an Order entity, where a customer entry will be present in the Customer entity only if they have made an order?
- A. zero-to-one
- B. many-to-many
- C. one-to-many
- D. one-to-one
Answer: A
Explanation:
Explanation
The relationship between a Customer entity and an Order entity, where a customer entry will be present in the Customer entity only if they have made an order, is a zero-to-one relationship. This means that for each record in the Order entity, there can be either zero or one record in the Customer entity that is related to it. This implies that the Order entity is optional for the Customer entity, and the Customer entity is mandatory for the Order entity12 References: 1: A Guide to the Entity Relationship Diagram (ERD) - Database Star 2:
Developing an Application - Oracle
NEW QUESTION # 77
A Data Dictionary is being developed for an employee database. When reviewing the data dictionary, the analyst recommends adding another primitive data element. Which element would be suggested?
- A. Work phone number
- B. First name
- C. Street address
- D. Customer name
Answer: C
Explanation:
Explanation
A street address is a primitive data element, because it is a basic unit of data that cannot be further decomposed into smaller components. A primitive data element has a distinct name, definition, format, and value domain. A street address can be used to identify the location of an employee or a customer, and it can be stored as a string or a combination of numbers and characters. Options B, C, and D are not primitive data elements, because they can be further broken down into smaller components. For example, a first name can be divided into a prefix, a given name, and a suffix. A customer name can be composed of a first name and a last name. A work phone number can be split into a country code, an area code, and a local number. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 2: Source Data
*Business analysis data dictionary - The Functional BA
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 15
NEW QUESTION # 78
The analytics team scheduled a meeting with key stakeholders to present their recommendations. The team envisioned this as the final step of their work and fully expected complete acceptance of those recommendations, particularly given that very few questions were asked. They were surprisedwhen they received word that the organization wasn't ready to move forward. What did they overlook?
- A. Communicating information requires a written report
- B. Stakeholders never make quick decisions
- C. Communicating information is bi-directional and iterative
- D. Stakeholders need to hear the same information multiple times
Answer: C
NEW QUESTION # 79
An analyst at a supermarket chain has been asked to extract data from multiple data sources to complete a study on customer spending habits. The analyst is going to query data from various databases. Which statement is true about database querying?
- A. Irrespective of the querying language used, data results retrieved are always in a tabular format
- B. Querying is a structured way of searching, manipulating and managing data
- C. Querying can be used to create predictive data models
- D. A querying language is independent of the type of database being used
Answer: B
Explanation:
Explanation
Querying is a technique that allows analysts to access, filter, join, aggregate, and transform data from various databases using a specific syntax and logic1. Querying can be used for different purposes, such as data exploration, data preparation, data analysis, and data visualization2. Querying is not limited to creating predictive data models, nor does it always produce tabular results. Moreover, querying languages may vary depending on the type and structure of the database, such as relational, hierarchical, or document-based3.
References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 552: Data Analysis Using SQL and Excel, Gordon S. Linoff, 2016, p. 33: Database Systems: Design, Implementation, and Management, Carlos Coronel and Steven Morris, 2019, p. 17.
NEW QUESTION # 80
A business analyst constructs a model they would like to review with key business stakeholders but decides to review the model first with the data scientist who has performed the data analysis. The data scientist provides some suggestions on how to reduce the complexity in the model. One suggestion is to use color to group objects needing to be associated. The data scientist is encouraging using which Gestalt Principle of Perception with regards to data visualization?
- A. Enclosure
- B. Similarity
- C. Connection
- D. Proximity
Answer: B
Explanation:
Explanation
The data scientist is encouraging using the Gestalt Principle of Similarity with regards to data visualization.
This principle states that the brain groups objects together that are similar in appearance, such as color, shape, size, or orientation. By using color to group objects needing to be associated, the data scientist is suggesting a way to reduce the complexity in the model and make it easier for the viewers to perceive the patterns and relationships among the data12 References: 1: Gestalt Principles For Data Visualization - Topcoder 2:
Introduction to Data Visualization: Gestalt Principles
NEW QUESTION # 81
The analytics team has been asked to provide an estimate of the number of customers they expect to have in 12 months. They debated how accurate that figure needs to be and determined that based on the availability of good data, they could predict within + or - 10%. This is an example of a:
- A. Parametric estimate
- B. ROM estimate
- C. Definitive estimate
- D. Delphi estimate
Answer: B
Explanation:
Explanation
A ROM estimate is a rough order of magnitude estimate that provides a quick and approximate estimate of the cost, time, or effort required for a project or a task. A ROM estimate is based on expert opinion or experience from past projects, and it usually has a large range of variation, such as + or - 10%. A ROM estimate is useful when there is limited information or data available, or when a high-level estimate is needed for planning or budgeting purposes. However, a ROM estimate also has a high degree of uncertainty and variability, and it should be refined as more details become available12 References: 1: Project Estimation Techniques Business Analysts Should Know About 2: Estimation techniques for business analysts - The Functional BA
NEW QUESTION # 82
An analyst is performing regression analysis and reviewing the results. They would like to rescale the variables in the model to more clearly reflect the relationship between the regression coefficients.Which technique could be used to rescale the variables?
- A. Dimension Reduction
- B. Mean Centering
- C. Clustering
- D. Normalization
Answer: D
Explanation:
Normalization is a technique that rescales the values of the variables in a data set to a common range, such as
[0,1] or [-1,1]. Normalization can help reduce the effect of outliers, improve the performance of some algorithms, and make the interpretation of the regression coefficients easier and more consistent.
Normalization can be done using different methods, such as min-max scaling, z-score scaling, or unit vector scaling.
References:Guide to Business Data Analytics, page 41; Introduction to Business Data Analytics: A Practitioner View, page 12.
NEW QUESTION # 83
An analyst is tasked with helping the sales team make better use of its data to support informed business decision making. The analyst creates the following research question 'How can shipping costs be lowered in the northeast to remain competitive?'.This question:
- A. Needs to be more broadly focused to frame the research
- B. Is sufficient to begin analytics work and can be revised after analysis
- C. Is adequately stated and scopes the analytics initiative
- D. Needs to be further defined before mathematical modeling can begin
Answer: D
Explanation:
According to the Guide to Business Data Analytics, a research question is a clear, concise, and specific question that guides the analytics work1. The research question should be SMART: Specific, Measurable, Achievable, Relevant, and Time-bound2. The question 'How can shipping costs be lowered in the northeast to remain competitive?' is not SMART, as it lacks some important details, such as:
* What is the current shipping cost and the target cost reduction?
* What are the criteria for measuring competitiveness?
* What is the time frame for achieving the cost reduction and competitiveness?
* What are the factors that influence the shipping cost and competitiveness?
* What are the assumptions and constraints of the analysis? Therefore, the question needs to be further defined before mathematical modeling can begin, as the modeling requires clear and precise inputs and outputs. The other options are not correct, as they imply that the question is either too vague or too narrow, which is not the case.
References:1: Guide to Business Data Analytics, IIBA, 2020, p. 312: Introduction to Business Data Analytics:
A Practitioner View, IIBA, 2019, p. 11.
NEW QUESTION # 84
A movie production company wants to use analytics to decide which customers would choose to watch or not watch a particular movie after seeing a promotional teaser. The business analysis professional suggests they could make that prediction by identifying characteristics of the new movie and determining if the customer has watched other movies with similar characteristics.Thisis an example of using the following technique:
- A. Analysis of variance
- B. Integer programming
- C. Ouster analysis
- D. Logistic regression
Answer: D
Explanation:
Logistic regression is a technique that can be used to model the probability of a binary outcome, such as choosing to watch or not watch a movie, based on one or more predictor variables, such as the characteristics of the movie and the customer's viewing history. Logistic regression can help the business analysis professional to identify the factors that influence the customer's decision and to estimate the likelihood of each customer's preference. Logistic regression can also be used to test hypotheses and to evaluate the performance of the predictive model. References: [Guide to Business Data Analytics], page 55; [Business Data Analytics: A Practical Guide], page 93; [Introduction to Business Data Analytics: A Practitioner View], page 14.
NEW QUESTION # 85
The team has completed their analysis on a vast amount of collected data and agree on their recommendations for action.
However, they are having difficulty in developing the appropriate messages to support their recommendations.
The business analysis professional suggests which technique to assist the team?
- A. T-Testing
- B. Storyboarding
- C. Simulation
- D. Visioning
Answer: B
Explanation:
Explanation
Storyboarding is a technique that helps the team to develop the appropriate messages to support their recommendations by creating a visual sequence of the main points, evidence, and actions. Storyboarding helps the team to organize their thoughts, identify gaps, and communicate their findings in a clear and compelling way12 References: 1: Developing Key Messages for Effective Communication - MSKTC 2: 11 Ways Highly Successful Leaders Support Their Team - Redbooth
NEW QUESTION # 86
What is the relationship between a Customer entity and an Order entity, where a customer entry will be present in the Customer entity only if they have made an order?
- A. zero-to-one
- B. many-to-many
- C. one-to-many
- D. one-to-one
Answer: A
Explanation:
The relationship between a Customer entity and an Order entity, where a customer entry will be present in the Customer entity only if they have made an order, is a zero-to-one relationship. This means that for each record in the Order entity, there can be either zero or one record in the Customer entity that is related to it. This implies that the Order entity is optional for the Customer entity, and the Customer entity is mandatory for the Order entity12 References: 1: A Guide to the Entity Relationship Diagram (ERD) - Database Star 2:
Developing an Application - Oracle
NEW QUESTION # 87
Analytics is being used to estimate the number of machine breakdowns a company will experience next year.
The business analyst provides an optimistic estimate of 10 breakdowns, a pessimistic estimate of 100 breakdowns, and a most likely value of 50 breakdowns.What type of estimation is being used?
- A. Delphi
- B. Parametric Estimation
- C. PERT
- D. Top-down
Answer: C
Explanation:
According to the Guide to Business Data Analytics, PERT (Program Evaluation and Review Technique) is a type of estimation that uses three values: optimistic, pessimistic, and most likely. The PERT estimate is calculated as the weighted average of these three values, with more weight given to the most likely value.
PERT can be used to estimate the duration, cost, or other variables of a project or activity, taking into account the uncertainty and variability of the data. PERT can help provide a realistic and reliable estimate based on the available information.
References: Guide to Business Data Analytics, page 54-55; CBDA Exam Blueprint, page 7; [Introduction to Business Data Analytics: A Practitioner View], page 16.
NEW QUESTION # 88
An analytics team has completed some initial data analysis but is considering revising their research question based on their analysis findings. The team was concerned the original question was too broad. What outcome would lead the team to have this concern?
- A. The source data sets could not be merged
- B. Data once analyzed had significant data quality issues
- C. Difficult to identify the KPIs to measure
- D. Data the team had planned to use was not available
Answer: C
Explanation:
Explanation
A research question is a clear and focused question that guides the data analytics process and defines the expected outcome or value of the analysis1. A research question that is too broad may lead to the concern of being difficult to identify the key performance indicators (KPIs) to measure, as KPIs are specific, quantifiable, and relevant metrics that indicate the progress and success of the analysis in relation to the research question23. A broad research question may also result in too much or too little data, unclear or conflicting objectives, or irrelevant or ambiguous results4. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 202: Guide to Business Data Analytics, IIBA, 2020, p. 233: Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, David Parmenter, 2015, p. 34: How to Write a Good Research Question, ThoughtCo, 2021, 1.
NEW QUESTION # 89
To support their recommendation, the analytics team has identified investment and resources required to implement. The team has also identified key activities and events that are required to transition the organization through various stages to the future state.This information is clearly articulated in the:
- A. Change strategy
- B. Gap analysis
- C. Risk assessment
- D. Gantt chart
Answer: A
Explanation:
According to the Guide to Business Data Analytics, a change strategy is a document that outlines the approach and plan for managing the change resulting from the data analysis and the proposed solution. A change strategy should include the following elements: the vision and objectives of the change, the scope and impact of the change, the stakeholders and their roles and responsibilities, the communication and engagement plan, the training and development plan, the transition and implementation plan, the risk and issue management plan, and the evaluation and measurement plan. A change strategy can help ensure that the change is aligned with the business goals, that the stakeholders are informed and involved, that the risks and issues are identified and mitigated, and that the benefits and outcomes are realized and sustained.
References:Guide to Business Data Analytics, page 84-85;CBDA Exam Blueprint, page 8; [Introduction to Business Data Analytics: A Practitioner View], page 26.
NEW QUESTION # 90
The definition of data elements is different across various data sources. The organization is looking to improve the usability of data across the organization. Which practice would help address this problem?
- A. Data governance
- B. Data quality
- C. Data ethics
- D. Data architecture
Answer: A
Explanation:
Data governance is the practice of establishing and enforcing policies, standards, roles, and responsibilities for the management and use of data across the organization. Data governance helps to address the problem of inconsistent data definitions across various data sources by ensuring that data is properly defined, documented, classified, and aligned with the business objectives and requirements12. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 292: Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, John Ladley, 2012, p. 3.
NEW QUESTION # 91
While creating a dataset for analysis, the analyst reviews the data collected and finds a large percentage of records are missing values. Which activity would the analyst perform in order to use this dataset?
- A. Factor analysis
- B. Weighting
- C. Clustering
- D. Scale validation
Answer: B
Explanation:
Explanation
Weighting is a technique that assigns different values or weights to different records or variables in a dataset, based on their importance or relevance. Weighting can be used to handle missing values by giving them a lower weight or imputing them with a weighted average of other values. Weighting can also help to adjust for sampling bias or non-response bias in the data collection process. References:
*Understanding the Guide to Business Data Analytics, page 16
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 3:
Analyze Data
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 4
NEW QUESTION # 92
The outcome from an analytics initiative has resulted in key stakeholders wanting to move forward with a project to redesign the company's website. The business analyst has called a meeting to work on drafting a plan to assess the level of effort required to complete this work. Many of the invited participants redesigned the website before and were invited so they could provide estimates using their knowledge and experience from the past. The business analyst is using which method to estimate this work?
- A. Parametric
- B. Rough order of magnitude
- C. Rolling wave
- D. PERT
Answer: B
Explanation:
The business analyst is using the rough order of magnitude method to estimate this work. This method is based on expert opinion or experience from past projects, and it provides a quick and approximate estimate of the cost, time, or effort required for a project or a task. This method is useful when there is limited information or data available, or when a high-level estimate is needed for planning or budgeting purposes. However, this method also has a high degree of uncertainty and variability, and it should be refined as more details become available12 References: 1: Project Estimation Techniques Business Analysts Should Know About 2:
Estimation techniques for business analysts - The Functional BA
NEW QUESTION # 93
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