Valid CBDA Exam Dumps are Your best Choice to Pass

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April 23, 2024

If you are looking to take your career in Business Data Analytics to the next level, the CBDA certification is an excellent option. To prepare for the CBDA exam, you need to have a deep understanding of IIBA products and how to configure them. The best way to prepare for the exam is by using CBDA exam dumps questions, which give you a better understanding of the format of the exam. This will help you become familiar with the types of questions you can expect on the actual CBDA exam, and it will give you a chance to practice your test-taking skills. Test free online CBDA exam dumps questions below.

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1. While formulating the results from completed analysis, the analytics team is applying different techniques to determine an optimal solution to the specified business problem.

Which of the following runs the risk of introducing bias in their decision making process?

Evidenced-based decision making

Expert judgement and experience

Correlations identified through artificial intelligence

Letting the data tell the story

2. A business analyst manager is planning budgets for the new year, and training opportunities for his team of business analysts. The manager sends out a survey to the team to obtain their top interests within the seven areas of training opportunities. The team results were compared against the manager's personal rating.

What can be deduced from the following chart with regards to the survey results?

The team's top interests in training opportunities were aligned with the manager's, which included Negotiation & Conflict Resolution and Facilitation

The team's top interests in training opportunities were aligned with the manager's, which included Teamwork and Adaptability

The manager's rating did not match with the team's rating for any of the training areas

The team had equal interest across all training areas

3. An analytics system is being developed by relying entirely on research questions that are framed using the results from benchmarking.

Which research question is being asked?

Which customers provide the greatest profit to the company?

How efficient is the company compared to its competitors?

Will more profit be made if we increase or decrease our sales price?

Which employees are we in danger of losing?

4. An analyst at an Insurance company has been asked to share results and provide insights into any impacts to the business since a new government regulation took effect. The analyst is in the process of reviewing the analyzed data to identify any patterns.

When interpreting results, what would be one of the questions the analyst will be asking?

How will the recipients receive the results?

Are the right data dimensions being used?

What do the results mean in the context of the business?

Is the data accurate based on the sources being used?

5. DIAGRAM TAKEN

An analyst at an organization has just learnt about bullet charts. For the latest dashboard, the analyst has decided to display the customer satisfaction rate from the latest 2018 customer survey results through a bullet chart while comparing it to the 2017 customer satisfaction rate.

What can be gleaned from this chart?

Customer Satisfaction

120%

100%

80%

The 2018 customer satisfaction rate is at 90%. between good and excellent, and exceeded its target of 70%

The 2018 customer satisfaction rate is at 90%. between good and excellent

The 2018 customer satisfaction rate was fair, at 70%, and did not reach its target of 90%

The 2018 customer satisfaction rate is at 90%. between good and excellent, while the 2017 customer satisfaction rate was at 70%

6. An analyst is interested in providing a visual diagram to compare and contrast the characteristics of four different solution options. Each option should be represented by their cost, value, and risk level.

What type of chart would accomplish this task?

Bubble

Waterfall

Pie

Bullet

7. A data dictionary is being developed for a dataset describing a company's customer base.

Within the data dictionary, which of the following represents a composite data element?

Street address

First name

Total sale

Birthdate

8. A future state data model is created to depict how information will be structured in a proposed solution but the analyst is also interested in modeling how and when data is transformed throughout various processes across the organization.

In which model would the analyst find this information?

Process flows

Data flow diagram

Data transformation model

Physical data model

9. A data scientist at a consumer goods company, has been asked to do a detailed analysis on customer profiles. The Data Scientist has identified an external data source that carries valuable additional information on their customers. The data scientist also identifies the address column as the most reliable column to join the internal data source with the external data source.

Addresses may appear in different formats for example:

File A = "13 Smith St"

File B = "Unit 7, 13 Smith Street"

Which of the following techniques would be useful in this situation?

Deterministic linkage

Probabilistic linkage

Genetic linkage

Cuff linkage

10. An HR manager attended a conference where the topic of HR analytics was presented. The manager returned to the office feeling strongly that analytics could be used to guide hiring decisions in the future.

Which of the following results would assist the HR team in making such decisions?

Employee skill gaps

Employee engagement scores

Workforce performance

Absentee rates

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11. Based on the financial analysis that's been completed by the analytics team, the business analysis professional reminds the team that the most financially feasible option is the one with the:

Highest ROI, highest present value, lowest NPV and highest payback period

Highest ROI, highest present value, highest NPV, and lowest payback period

Highest ROI, lowest present value, lowest NPV and highest payback period

Highest ROI, lowest present value, highest NPV and lowest payback period

12. A research marketer is interested in collecting information about the spending habits of families in North America. Concerned about the volume of data required to conduct the research, they choose to use sampling. The dataset is sourced using all credit card transactions from a leading North American credit card company for Quarter 1 of the prior year.

The sample used is:

Statistically representative

Not relevant

Too large to be helpful

Biased

13. 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:

Is sufficient to begin analytics work and can be revised after analysis

Is adequately stated and scopes the analytics initiative

Needs to be further defined before mathematical modeling can begin

Needs to be more broadly focused to frame the research

14. As the organization looks to advance its analytics practices, the topic of provisioning access to executive dashboards and visualizations is under discussion.

Establishing standards and implementing role based logins to executive dashboards will address:

Data management

Data security

Data governance

Content management

15. 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?

Sunburst

Scatterplot

Pie chart

Line

16. An analyst is doing a clinical study on the value of analyte among a large population of healthy people. The analyst is going to use a Gaussian Distribution to share the results.

Which of the following represents a Gaussian Distribution?

17. A manufacturing company, specializing in turf maintenance equipment, has recently seen a decline in their lawn mower sales. As a result, the analytics team is asked to review the latest customer satisfaction survey results. An analyst on this team creates a report for senior management with attractive visuals, supported by the KPI results. Upon reviewing the report, the analyst's manager mentions that the report is missing the narrative.

What does this mean?

The data tables that support the visuals and help answer questions

A narrative that supports insights with additional context and draws correlations

Notes on assumptions and unavailable data for analysis

Commentary around why each graphic was selected to provide additional context

18. 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:

Sources of data

Quality of the data

Timeframe of analysis

Measurement scale

19. A marketing department has established an analytics team. The analytics practice is stand-alone and analysts have limited insights into corporate strategy.

Which is an expected result for analytics practices operating at the business unit level?

Analytics work will be driven by the organization's business plan

Insights derived from data analysis will be used to guide strategic decisions

The analytics team may conduct analysis that is of minimal value to the organization

The organization will use analytics as a means to obtain a competitive advantage

20. A food and beverage company would like to administer a survey to obtain customer insights about a new cookie product recently launched. A data team is asked to build the survey paying careful attention to reduce the degree of sampling error.

Which criteria would help the team meet this objective?

Large sample size and variation in the target population

Large sample size and random selection of the target population

Small sample size and specific subset of the target population

Small sample size and using customers who agreed to take the survey

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21. The research study is complete, the data has been analyzed and the team has created the necessary high impact visuals.

The business analysis professional urges the team to:

Present the results to stakeholders

Validate regression analysis

Curate the data

Develop the narrative

22. Which attribute in the Customerissues entity would be categorized as unstructured data?

• CustomerlD

• ConcernCategory

• ConcernSubCategory

• AgentID

• ComplaintNotes

• lssueResolved(Y/N)

ComplaintNotes

ConcernCategory

lssueResolved(Y/N)

ConcernSubCategory

23. A 3rd party is marketing an application for financial institutions to use for credit scoring. This application is an example of what type of analytics?

Descriptive analytics

Prescriptive analytics

Exploratory

Inferential

24. 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:

Untrained learning

Supervised learning

Trained learning

Unsupervised learning

25. To ensure their recommendation can be acted upon, the business analysis professional on the analytics team helps the team complete financial analysis to support their recommendation. As part of the financial analysis that's completed, the cost-benefit analysis shows positive net benefits starting in the 2nd year. The team feels this is sufficient to proceed with their strong endorsement of the recommendation.

The business analysis professional:

Agrees since all the necessary analysis work is complete

Disagrees since the risk of generating that net benefit is too high

Agrees recognizing that positive benefits are occurring quickly

Disagrees stating that the cumulative net benefits need to be reviewed

26. An analytics team is sourcing data for a new analytics initiative and is deciding between two comparable data sources. One source being considered is a very large dataset and another consists of three smaller sources.

What advantage will the larger dataset provide over the three smaller sources?

More significant results

Higher validity

More reproducibility

Higher reliability

27. Which attributes from the Order entity will need to be normalized to avoid redundancies?

. Orderld

. OrderDate

. Itemld

. ItemName

. Quantity

. ItemPrice

OrderDate ItemPrice

ItemName ItemPrice

OrderDate ItemName

Item Name Quantity

28. Allegra Consulting is planning on establishing an analytics system to track career progression of their consultants. Elicitation will be used to identify the required features.

How would brainstorming be used to prepare for elicitation?

To identify sources of business information to consider

To identify the key metrics to be collected

Determine the value for establishing the analytics system

To choose the statistical methods required

29. A fashion retailer is developing a new line of luxury handbags and would like to evaluate their target market and pricing. After an extensive evaluation based on product features, their target market, and pricing of competitor products, the analytics team has come up with a pricing proposal. On presenting the results, the management team is of the opinion that additional analysis was required before making a decision.

What type of additional analysis will help the management team make a decision on pricing?

How diverse are the competitors- product portfolios?

How can we broaden the target market?

How can costs be reduced to improve the profit margin?

What is the breakeven point before profits are generated?

30. An analytics team has been asked to answer the following question: "Given that you're a customer, would you work at our company?"

The team is concerned about answering this question because it is:

Insignificant

Short

Unethical

Unclear

Page 4 of 5

31. 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?

T - The increase should be seen sooner

A - It is too easy of a target to attain

R - Since competition is high, focus should be on increasing customer base and not on ARPU

S - There is no mention of which product group/line the target pertains to

32. A lab is conducting a study on protein interactions. They have used the data to create a graph visualization. In graph visualization, what would an edge represent?

A single datapoint

A link between two datapoints

A collection of datapoints and links

A dedicated algorithm that calculates the node positions

33. An analyst is working through data on comparing performance scores in different schools across the state, for ranking purposes. Since there is a lot of data and some extreme outliers, the analyst is trying to determine which type of statistical average would best represent the results.

Which of the following is a concern when relying too heavily on summary statistics during data analysis?

Contextualization

Data variation

Data properties

Frequency

34. An analytics team is discussing ways to improve company performance. Before identifying a set of research questions to analyze, they identify the need to understand the current company strategy and performance. The business analyst suggests using the Balanced Scorecard technique to guide this discussion.

In which dimension of the matrix would the team be discussing metrics for changing and improving?

Learning and Growth

Customer

Financial

Internal Business Process

35. 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?

Connection

Proximity

Similarity

Enclosure

36. 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?

Data once analyzed had significant data quality issues

Data the team had planned to use was not available

Difficult to identify the KPIs to measure

The source data sets could not be merged

37. There were 7 students enrolled in the Introduction to Artificial Intelligence course. These were the student's scores from the final exam: 64, 70, 80, 80, 90, 98, 100

What is the mean and mode for the outlined scores?

83.14, 80

79.84, 81.40

80,80

80, 83.14

38. An analyst is looking at a particular dataset that includes the scores across all 8th grade students, across three schools. The analyst is trying to determine which type of statistics average to use to best represent the results. On looking through the dataset, the analyst has identified a few extreme outliers. As a result, the analyst was led to use the following type of average:

Median

Range

Mean

Mode

39. A call center has requested to review their sales conversion data for the month. The analyst working on this request is trying to identify the chart that will effectively present the data, which includes: the number of leads, the number of calls made, the number of calls completed, the number of customers interested and the number of sales.

What chart should the analyst use to show the values across each stage of the pipeline?

Pie chart

Funnel chart

Bar chart

Bullet chart

40. A real estate broker is tracking monthly sales between two of its teams. The results have been visualized.

What insights can be drawn from the chart?

Q2 was the strongest performing quarter with Team B having the top monthly sales in May

Q3 was the strongest performing quarter with Team A having the top monthly sales in the quarter

Q4 was the lowest performing quarter with November having the lowest monthly sales in the year

Q4 was the lowest performing quarter with Team A having the lowest monthly sales in the Quarter

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41. An analytics team employed at a leading credit card company is utilizing data analytics to identify unusual credit card purchases.

They have created the following visual.

How many extreme outliers exists in this dataset?

42. 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?

Gaussian distribution

Scatter plot

Multivariate histogram

Box plot

43. A large retail chain has asked their analytics team to complete a study on their customers' purchasing patterns. The analyst assigned to the study has decided to draw further insight by grouping customers based on their purchasing habits.

This clustering approach is an example of:

Untrained learning

Trained learning

Unsupervised learning

Supervised learning

44. The research question prompting the use of analytics is well-defined. The team obtains the results and determines that the source data did not provide reliable results. As a result of this finding, the team modifies the original question to one that can be answered by the data.

What is a risk that could impact the value of this analysis?

The objective of the original research may not be met

Timelines will be pushed out making stakeholders unhappy

Increased costs associated with the source data

The quality of the analysis may be negatively impacted

45. 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?

Parametric Estimation

PERT

Top-down

Delphi

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