2024 Best CBDA Exam Preparation Material with New Dumps Questions
Free CBDA Exam Files Verified & Correct Answers Downloaded Instantly
NEW QUESTION # 44
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 surprised when they received word that the organization wasn't ready to move forward. What did they overlook?
- A. Stakeholders never make quick decisions
- B. Communicating information requires a written report
- C. Stakeholders need to hear the same information multiple times
- D. Communicating information is bi-directional and iterative
Answer: D
Explanation:
Explanation
The analytics team overlooked the fact that communicating information is not a one-way or one-time process, but rather a bi-directional and iterative one. This means that the team should not only present their recommendations, but also solicit feedback, address concerns, clarify doubts, and confirm understanding from the stakeholders. By doing so, the team can ensure that the stakeholders are fully engaged, informed, and aligned with the recommendations, and that any potential barriers or risks are identified and mitigated before moving forward. References:
*Understanding the Guide to Business Data Analytics, page 9
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4:
Interpret and Report Results
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 5, Step 3 - Schedule and Take The Exam
NEW QUESTION # 45
A professional association is funded by membership fees. The membership renewal occurs every 5 years.
Although, they have a strong subscription rate each year, their renewal rate is low. They are working with an external firm specializing in Business Analytics to identify the groups of customers that have a high likelihood of cancelling their subscription after their first 5-year term ends. This type of study is called:
- A. Untrained learning
- B. Trained learning
- C. Supervised learning
- D. Unsupervised learning
Answer: D
Explanation:
Explanation
Unsupervised learning is a type of study that involves finding patterns or clusters in data without any predefined labels or outcomes. It is useful for exploring data and discovering hidden structures or groups of customers. For example, the professional association can use unsupervised learning to identify the characteristics of customers who are likely to cancel their subscription after their first 5-year term ends, and then design strategies to retain them12 References: 1: What is Unsupervised Learning? - IBM 2: Unsupervised Learning - IIBA BABOK Guide v3
NEW QUESTION # 46
The analytics team is assessing the results of their analysis. They are surprised to find that their data indicates two events seem to be strongly related even though the general belief in the organization is that they are independent of each other. Knowing that this information will be used for decision making, they are concerned about presenting this data. At an impasse, the business analysis professional reminds them that the data can be presented as long as the team has:
- A. Review the results with management ahead of time and highlight any potential risk of using this data
- B. Confidence that the correlation will reliably occur in the future and the risk of acting on this is low
- C. Followed all rules for data analysis endorsed as organizational standards so the risk of acting on this is low
- D. The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this
Answer: D
Explanation:
Explanation
The ability to rerun the data analysis and the results are the same is the condition that the team should have before presenting the data, because it is a technique that ensures the validity, reliability, and reproducibility of the data analysis. By rerunning the data analysis, the team can verify that the results are consistent and not affected by random errors, biases, or anomalies. The team can also confirm that the data analysis process is well-documented, transparent, and traceable, and that the results can be replicated by other analysts or stakeholders. This can minimize the risk of acting on the data, and increase the confidence and trust in the data analysis. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4:
Interpret and Report Results
*Understanding the Guide to Business Data Analytics, page 9
*Business Data Analytics (IIBA®-CBDA Exam preparation) | Udemy, Section 4: Interpret and Report Results, Lecture 20: Data Validation and Verification
NEW QUESTION # 47
The results of the data analytics work led to some clear and strongly supported outcomes and the analytics team is very confident in their recommendations; particularly given that the payback on the required changes are a short 3 months. However, there is concern because the organization operates in a highly regulated environment and some new regulatory changes are being considered with announcements and implementation in the next 6 months. Under these conditions the team decides to:
- A. Reassess their results to ensure their validity and then decide what to do
- B. Recommend no action be taken at this time and revisit in 6 months
- C. Identify and carefully document assumptions for their recommendation
- D. Postpone recommendations for 6 months until the announcements are made
Answer: C
Explanation:
Explanation
The best option for the team under these conditions is to identify and carefully document the assumptions for their recommendation, such as the expected impact of the regulatory changes, the risks and benefits of implementing the changes before or after the announcements, and the sensitivity of the results to different scenarios. This way, the team can communicate their findings and recommendations clearly and transparently, while also acknowledging the uncertainty and limitations of their analysis. This can help the decision makers to evaluate the trade-offs and make informed choices12. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 242: Data-Driven Decision Making: A Primer for Beginners, Anand Rao, 2018, 1.
NEW QUESTION # 48
After analyzing sales data, the analytics team finds that the older the customer, the more expensive the neckties purchased. The team felt this was a breakthrough insight but on closer analysis realized that other factors could account for this relationship. This is a clear indication that:
- A. Causation between variables does not imply correlation
- B. Correlation between variables implies causation
- C. Correlation between variables does not imply causation
- D. Causation has no relationship with correlation
Answer: C
Explanation:
Explanation
The analytics team found a correlation between the age of the customer and the price of the neckties purchased, meaning that as one variable changes, the other tends to change in the same direction. However, this correlation does not imply causation, meaning that one variable does not necessarily cause the other to change. There could be other factors, such as income, preference, or quality, that affect both variables and create a spurious relationship. Therefore, the team realized that they need to investigate further to determine if there is a causal link between the variables, or if the correlation is coincidental12 References: 1: Correlation vs. Causation | Difference, Designs & Examples - Scribbr 2: Correlation vs Causation: Understanding the Differences - Statistics By Jim
NEW QUESTION # 49
As the team discusses how to utilize the results of their data analysis to put forth a business recommendation, an analyst on the team voices concern over the current organizational culture presenting a roadblock to their ability to influence business decision making. Which of the following would be a justifiable concern at this stage of the team's efforts?
- A. Finding data that creates value creating difficulties, as not all data helps a business make better decisions
- B. Applying a myopic view of data and establishing data silos which create roadblocks to exploring available data sources
- C. Difficulty bringing business stakeholders to a shared understanding about value when sharing data assets across business domains
- D. Changing the mindsets of business stakeholders to trust insights gleaned from data over experience and intuition
Answer: D
Explanation:
Explanation
A justifiable concern at this stage of the team's efforts is changing the mindsets of business stakeholders to trust insights gleaned from data over experience and intuition. This is because some stakeholders may have a strong attachment to their own opinions or beliefs, and may resist or ignore data that contradicts them. This can create a barrier to data-driven decision making, which requires a culture of curiosity, openness, and evidence-based reasoning. The team needs to communicate the value and validity of their data analysis, and persuade the stakeholders to adopt a data-driven mindset12 References: 1: Use Data to Accelerate Your Business Strategy 2: Data-Driven Decision Making: A Step-by-Step Guide
NEW QUESTION # 50
The results for a certification exam were revealed in percentage and percentile. The results for one of the attendees was: 75%, 90th percentile. What is the value in sharing the percentile score?
- A. While the exam score is an objective score, the percentile is a relative score that assesses the attendee's score against the highest possible score
- B. By ranking, it provided additional insight on how the attendee performed in comparison to other attendees
- C. The percentile score provides value by assessing the attendee's score against the average score for that exam
- D. The percentile score does not add any additional value in assessing the attendee's performance
Answer: B
Explanation:
Explanation
The percentile score provides value by ranking the attendee's score among all the scores of the exam takers. A percentile score of 90 means that the attendee scored higher than 90% of the exam takers, and only 10% scored higher than the attendee. This gives a relative measure of how the attendee performed in comparison to other attendees, and how competitive or exceptional the score is. The percentile score does not depend on the average or the highest possible score of the exam, but only on the distribution of the scores of the exam takers.
References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4:
Interpret and Report Results
*Understanding the Guide to Business Data Analytics, page 9
*What is a Percentile? - Statistics By Jim
NEW QUESTION # 51
A software company launched a new product in late 2016. The product manager is reviewing a Box and Whisker plot used to compare year-over-year sales, from 2017 to 2018. What is the conclusion he can make from this chart?
- A. 2018 minimum and maximum sales are higher than 2017, and the 2018 quartile results are higher than 2017 quartile results
- B. 2017 minimum and maximum sales are higher than 2018, and the 2017 median result is higher than the 2018 median result
- C. 2017 minimum and maximum sales are higher than 2018, but the 2017 median result is lower than 2018 1st quartile result
- D. 2018 minimum and maximum sales are higher than 2017, and the 2018 1st quartile is higher than 2017 median result
Answer: D
NEW QUESTION # 52
With the recent departure of two of its employees, an IT helpdesk team is now understaffed and finding it difficult to keep up with the current workload. The number of tickets being received has increased as well as the number of days to resolve the tickets. The IT manager has set up a meeting with the IT director to request funding for two new helpdesk agents. To prepare for the meeting, the manager is interested in showing the tickets processed against ticket volume over the past year.
What type of chart should the manager use to effectively show the change in processing rate over time?
- A. A line chart to show the widening gap between the number of tickets being processed against the number coming over the past year
- B. A waterfall chart to show the number of tickets coming in are a lot higher than those being processed as of year to date
- C. A column chart to compare the number of tickets coming in versus tickets being processed each month, since June
- D. A pie chart to compare the number of tickets coming in versus tickets being processed each month, over the past year
Answer: A
Explanation:
Explanation
A line chart is the type of chart that the manager should use to effectively show the change in processing rate over time, because it is a technique that displays data as a series of points connected by straight lines. A line chart can help the manager visualize the trends and patterns in the ticket volume and processing rate over the past year, and highlight the widening gap between them. A line chart can also show the seasonal variations and fluctuations in the data, and compare the performance of different categories or groups. Options A, B, and D are not suitable for showing the change in processing rate over time, because they are techniques that display data as proportions (A), comparisons (B), or accumulations (D) of different categories or groups at a single point in time or over a fixed period. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4:
Interpret and Report Results
*Understanding the Guide to Business Data Analytics, page 18
*16 Best Types of Charts and Graphs for Data Visualization [+ Guide]
NEW QUESTION # 53
A company wants to gauge the thoughts of their employees towards a new company product. On the 25th of March the interviewer makes a list of all employees who were at work on that day and then chooses a subset of those employees to interview. Which term describes the list of all employees present on March 25th?
- A. Population of interest
- B. Survey sample
- C. Sampling frame
- D. Sample weights
Answer: C
Explanation:
Explanation
The sampling frame is the term that describes the list of all employees present on March 25th, because it is a technique that defines the set of elements from which a sample is drawn. The sampling frame should ideally match the population of interest, which is the group of elements that the researcher wants to study or make inferences about. In this case, the population of interest is the employees of the company, and the sampling frame is the subset of employees who were at work on a specific day. The survey sample is the technique that selects a portion of the sampling frame to participate in the survey. The sample weights are the technique that assigns different values or importance to each element in the sample, based on their representation in the population. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 2: Source Data
*Understanding the Guide to Business Data Analytics, page 14
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 14
NEW QUESTION # 54
An organization's customers are categorized based on the amount of purchases completed over the last 12 months. The analytics team would like to ensure the accuracy of their survey results and decide to randomly select 500 customers to participate in a survey from this large pool of customers. This is an example of:
- A. Quota sampling
- B. Snowball sampling
- C. Purposive sampling
- D. Stratified sampling
Answer: D
Explanation:
Explanation
Stratified sampling is a technique that divides the population into homogeneous subgroups (strata) based on a relevant characteristic, such as the amount of purchases, and then randomly selects a proportional number of elements from each subgroup to form the sample. Stratified sampling ensures that the sample is representative of the population and reduces the sampling error and bias12. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 312: Statistics for Business and Economics, David R. Anderson et al., 2014, p. 262.
NEW QUESTION # 55
A lab is conducting a study on protein interactions. They have used the data to create a graph visualization. In graph visualization, what would a layout be?
- A. A link between two data points
- B. A single data point
- C. A collection of data points and links
- D. A dedicated algorithm that calculates the node positions
Answer: D
Explanation:
Explanation
A layout is a way of arranging the nodes and links of a graph visualization to convey meaningful information about the data. A layout is determined by a dedicated algorithm that calculates the node positions based on certain criteria, such as minimizing edge crossings, maximizing node spacing, or emphasizing clusters12. A layout can also be influenced by user interaction, such as zooming, panning, or dragging3. References: 1:
Guide to Business Data Analytics, IIBA, 2020, p. 642: Graph Drawing: Algorithms for the Visualization of Graphs, Giuseppe Di Battista et al., 1999, p. 33: Interactive Data Visualization: Foundations, Techniques, and Applications, Matthew O. Ward et al., 2015, p. 227.
NEW QUESTION # 56
A data scientist is performing statistical analysis and is interested in graphically depicting the data set according to the associated quartiles Minimum, First Quartile, Median, Second Quartile, Third Quartile.
Which technique would allow for the display of this statistical five number summary?
- A. Multivariate histogram
- B. Scatter plot
- C. Gaussian distribution
- D. Box plot
Answer: D
Explanation:
Explanation
A box plot is the technique that would allow for the display of the statistical five number summary, because it is a technique that shows the distribution of a data set using a rectangular box and whiskers. A box plot can help the data scientist visualize the minimum, maximum, median, first quartile, and third quartile of the data set, as well as any outliers or skewness. A box plot can also help the data scientist compare the variation and symmetry of different groups or categories of data. Options A, B, and C are not suitable for displaying the statistical five number summary, because they are techniques that show the frequency, relationship, or density of the data, but not the quartiles or outliers. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 3:
Analyze Data
*Understanding the Guide to Business Data Analytics, page 18
*16 Best Types of Charts and Graphs for Data Visualization [+ Guide]
NEW QUESTION # 57
A colleague proposes measuring job satisfaction by asking the question "What is your salary?". What is the concerning factor about this question?
- A. Subjectivity
- B. Reproducibility
- C. Clarity
- D. Validity
Answer: D
Explanation:
Explanation
Validity is the extent to which a measure or a question accurately captures the intended concept or construct1.
The question "What is your salary?" is not a valid measure of job satisfaction, as it does not reflect the various aspects of job satisfaction, such as work environment, recognition, autonomy, growth, etc. Salary is only one possible factor that may influence job satisfaction, but it is not a direct or comprehensive indicator of it23.
Therefore, the question is not valid for measuring job satisfaction. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 302: Job Satisfaction: Application, Assessment, Causes, and Consequences, Paul E.
Spector, 1997, p. 23: Job Satisfaction Survey, 1.
NEW QUESTION # 58
The analytics team is identifying research questions to address a business problem. The business analysis professional reminds the team that the most important dimension to consider is the:
- A. Sources of data
- B. Measurement scale
- C. Timeframe of analysis
- D. Quality of the data
Answer: D
Explanation:
Explanation
The quality of the data is the most important dimension to consider when identifying research questions, as it affects the validity, reliability, and accuracy of the analysis and the results. Data quality refers to the degree to which the data meets the requirements and expectations of the stakeholders and the purpose of the analysis12.
Poor data quality can lead to erroneous conclusions, ineffective decisions, and wasted resources3. References:
1: Guide to Business Data Analytics, IIBA, 2020, p. 282: Data Quality Assessment, Arkady Maydanchik,
2007, p. 33: Data Quality: The Field Guide, Thomas C. Redman, 2001, p. 1.
NEW QUESTION # 59
A large telecommunications company wants to increase their Average Revenue Per User per month by 5%, by end of year, to increase revenue in a highly competitive market. From a SMART target perspective, what is missing?
- A. T - The increase should be seen sooner
- B. A - It is too easy of a target to attain
- C. S - There is no mention of which product group/line the target pertains to
- D. R - Since competition is high, focus should be on increasing customer base and not on ARPU
Answer: C
Explanation:
Explanation
A SMART target is one that is specific, measurable, achievable, relevant, and time-bound1. The target of increasing the Average Revenue Per User (ARPU) per month by 5%, by end of year, to increase revenue in a highly competitive market is missing the specificity criterion, as it does not mention which product group or line the target applies to. The target should be more specific and clear about the scope and context of the desired outcome, such as which segment, region, or service the target relates to23. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 192: SMART Goals: How to Make Your Goals Achievable, MindTools, 2021, 13: How to Set SMART Marketing Goals, CoSchedule, 2021, 2.
NEW QUESTION # 60
The architecture team puts forth a solution architecture that integrates multiple data sources from within and outside the organization. The architecture provides the foundation to source a new analytics program. If one of the objectives of the analytics team was to provide 'one source of the truth', this objective would be referring to which of the following?
- A. Evaluating the completeness, validity, and reliability of the data from source systems
- B. Ensuring stakeholders always have clear insight into the final requirements at all times
- C. Enforcing master data management principles and practices
- D. Identifying one key stakeholder, who can make final decisions about which sources to relate/merge
Answer: C
Explanation:
Explanation
Providing 'one source of the truth' means ensuring that there is a single, consistent, and authoritative source of data that can be used for analytics and decision making across the organization. This objective can be achieved by enforcing master data management principles and practices, which involve defining, governing, and maintaining the quality and integrity of the core data entities that are shared by multiple systems and processes. Master data management helps to eliminate data silos, reduce data duplication and inconsistency, and improve data accuracy and reliability12 References: 1: What is Master Data Management (MDM)? - Informatica 2: Master Data Management - IIBA BABOK Guide v3
NEW QUESTION # 61
While sourcing data, an analyst runs into a situation where different business units are using different names to refer to the same data element. This lack of standardization is resulting in confusion and additional time required to properly prepare data for analysis. Which practice, if implemented would address this situation and mature the organization's business analytics practice?
- A. Data quality management
- B. Database operations management
- C. Data warehousing
- D. Meta data management
Answer: D
Explanation:
Explanation
Meta data management is the practice that, if implemented, would address the situation and mature the organization's business analytics practice, because it is a technique that involves defining, documenting, and maintaining the information about the data elements, such as their names, definitions, formats, sources, and relationships. Meta data management can help the analyst resolve the inconsistencies and ambiguities in the data element names, and ensure that the data is standardized, consistent, and understandable across different business units. Meta data management can also help the analyst improve the data quality, accessibility, and usability for the analysis. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 2: Source Data
*Guide to Business Data Analytics - Iiba - Google Books, page 14
*Business Data Analytics (IIBA®-CBDA Exam preparation) | Udemy, Section 2: Source Data, Lecture 8:
Meta Data Management
NEW QUESTION # 62
A consumer goods manufacturer has recently completed an analytics study to understand how to improve its operational excellence. From the top highlights, online sales outperformed other channels in sales growth and there was a direct relationship between positive customer reviews and increased internet sales. Which strategic business decision may be logically derived from these results?
- A. Improve operational efficiencies
- B. Encourage customers to complete online reviews
- C. Create an empowered and collaborative work culture
- D. Improve quality of the products
Answer: B
Explanation:
Explanation
The strategic business decision that may be logically derived from the results is to encourage customers to complete online reviews, because the results show that there is a direct relationship between positive customer reviews and increased internet sales. By increasing the number and quality of online reviews, the consumer goods manufacturer can boost its online sales performance, which outperformed other channels in sales growth. Online reviews can also help the manufacturer gain customer feedback, improve customer loyalty, and enhance its brand reputation. References:
*Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 5: Use Results to Influence Business Decision Making
*Understanding the Guide to Business Data Analytics, page 9
*CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 6
NEW QUESTION # 63
A professor at a university has received a few complaints of the exams being too difficult. The professor is looking at exam performance results over the past 5 years to understand the normal tendency and outliers.
Which chart should the professor use?
- A. Line
- B. Pie chart
- C. Scatterplot
- D. Sunburst
Answer: C
Explanation:
Explanation
A scatterplot is a type of chart that shows the relationship between two variables by plotting data points on a two-dimensional plane. A scatterplot can help the professor to understand the normal tendency and outliers of exam performance results over the past 5 years by displaying the distribution, trend, and correlation of the data. For example, the professor can use the x-axis to represent the year and the y-axis to represent the exam score, and see how the scores vary over time and across different exams. Outliers can be identified as data points that are far away from the main cluster or the line of best fit12 References: 1: Scatter Plot - Statistics How To 2: Scatterplots - IIBA BABOK Guide v3
NEW QUESTION # 64
......
Instant Download CBDA Dumps Q&As Provide PDF&Test Engine: https://www.pass4sures.top/Business-Data-Analytics/CBDA-testking-braindumps.html
Fast Exam Updates CBDA dumps with PDF Test Engine Practice: https://drive.google.com/open?id=1R3uSDzhBRHr1lpVRRkntRVGzB855DQ5T