Free Certification in Business Data Analytics Exam CBDA Exam Practice Test

The analytics team has been asked to assess sales data from their company's website with the hopes of providing insights to help increase online sales. It's the first time the team is looking at this specific data and they are concerned about the quality of data that has been captured. They decide to use the following approach as the next step:

• Trend Analysis
• Classification analysis
• Data Analysis
• Exploratory analysis

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

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

Interested in building out the analytics capability based on the positive results obtained by past analytics efforts, the Chief Marketing Officer (CMO) pitches the idea of using analytics to guide future decision making across the enterprise. Before allocating budget to build up an enterprise analytics practice, the decision makers should:

• Request that a small team be assembled to brainstorm a list of capabilities to develop with any approved monies
• Identify the sponsor and a project manager who can collaborate on the development of the project charter
• Oversee the completion of up-front analysis to determine how value can be achieved through an enterprise-wide analytics practice
• Determine if the company has the sufficient resources to build up the analytics practice

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

A job satisfaction survey is being developed. Half of the employees will be asked the question "Do you enjoy working in your workplace?" The other half will be asked "Do you like the current work benefits?". The business analyst raises concern over the survey. What is concerning to the business analyst?

• Precision
• Reproducibility
• Reliability
• Validity

A company wants to run a monthly promotion on batteries that cost 15 cents each and sells for 50cents. At this price, they typically sell 1000 batteries and generate a profit of 35 cents per battery for a total profit of $350. The analytics team was asked to test two price points - 20% off (i.e. a sale price of 40 cents) and 40% off (i.e., a sale price of 30 cents). The survey data completed by 10000 participants was analyzed and showed that a 20% savings would result in sales of 1200 batteries and the 40% savings would result in 1800 batteries being sold. The team's initial recommendation was to recommend the 40% discount. Now that they are validating their recommendations, they decide to:

• Question why management would only want them to test two price points
• Change their recommendation realizing they have been victims of linear bias
• Redo the survey looking for a larger sample size
• Use their original recommendation given that the volume of sales is much higher

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

The analytics team has completed analyzing a dataset and unfortunately the data didn't deliver the kinds of insights that the team was hoping for. After much contemplation, they decide to:

• Summarize the results and indicate the outcome was inconclusive
• Inform management that analytics could not derive insightful results
• Wait a few weeks and rerun the analysis using refreshed data
• Restart the work with formation of a new research question

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?