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:

Restart the work with formation of a new research question

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 is using a Data Flow Diagram (DFD) to depict the flow of data across a data security company. Which of the following is true about DFDs?

Can be categorized as Logical or Physical

Can illustrate a sequence of activities

Provide similar information as process flows

Are used to model data attributes

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?

By ranking, it provided additional insight on how the attendee performed in comparison to other attendees

The percentile score provides value by assessing the attendee's score against the average score for that exam

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

By ranking, it provided additional insight on how the attendee performed in comparison to other attendees

The percentile score does not add any additional value in assessing the attendee's performance

The finance manager has reported that customers are taking much longer to remit payments this year than last. They would like help in finding a solution to address the situation. One suggestion was to offer a 10% discount to entice customers to pay their invoices in full within the first 30 days. Before offering the discount, the finance manager would like the analytics team to do some research to determine if there is value in addressing the accounts receivable problem. Which of the following is a valid question to ask in this situation?

Have discounts been offered before?

Are sales decreasing when accounts receivables are increasing?

How does credit score impact the customer's ability to pay?

Should the discount offered be set at 10% or 15%?

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 collection of datapoints and links

A dedicated algorithm that calculates the node positions

A data scientist is working with a team of upper level managers to develop a strategy for creating an enterprise analytics program. What critical success factor would help ensure the organization obtains the most value from its data?

Management thinks analytically and fosters a culture where data science thrives

Management is aware of the value of data science and ensures support for all tactical initiatives

A sponsor is identified that helps champion the work

Management thinks analytically and fosters a culture where data science thrives

The data science team supports the functional units and priorities

Senior executives in a large organization receive numerous sales reports of every sale through a corporate dashboard on a weekly basis. The executives are considering budget increases for various functions but would like to know if they are obtaining good returns for current budget allocations. They ask the analytics team to research and answer: 'How effective is our marketing spend?' This question is:

Too broadly scoped to be effectively answered

Already answered in the sales data

Difficult to analyze because its narrowly focused

Sufficient to begin initial analysis

Too broadly scoped to be effectively answered

The analytics team is struggling with which recommendation to make. Their challenge is that they have five good options and this indecision is stopping them from moving forward. To help the team finalize their recommendation, the BA professional on the team recommends they complete:

Acceptance and evaluation criteria

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:

The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this

Review the results with management ahead of time and highlight any potential risk of using this data

Confidence that the correlation will reliably occur in the future and the risk of acting on this is low

Followed all rules for data analysis endorsed as organizational standards so the risk of acting on this is low

The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this

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 random selection of the target population

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

When reviewing the results of their analysis, the team is determining if the data supports their hypothesis and can be presented to decision makers. They are reviewing measures of variation, sample size and statistical significance. They realize that the p-value of 0.02 is lower than the initial target. This clearly indicates the team can:

Reject the null hypothesis in favor of the alternative

Accept the null hypothesis and accept the alternative

Accept the null hypothesis and reject the alternative

Reject the null hypothesis in favor of the alternative

Reject the null hypothesis and reject the alternative

Results of the data analysis have been analyzed and the team was confident with the results but also quite surprised the outcome was not what was expected. In pondering the value of what can be gleaned from the data, the team has no feasible solution to put forth to address the business need. A logical next step would be to:

Repeat the business analytics cycle with the formation of a new research question

Provide the results to a 2nd analytics team to see if similar conclusions are drawn

Analyze the data again, to determine if any insights were overlooked

Check the quality of the data that was used for the analysis

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

A fifty-year-old brick and mortar business is interested in determining the potential for selling their current products online. The sales director has asked the analytics team to predict future sales for their most popular product. A simple question is formed 'Would you buy this product online?' The sales director would like to survey students from local colleges and universities within a 50km radius. As a result, the team will conclude:

The survey will establish a poor study population

The sample size being considered may be too large to work with

The research question will be easily answered with currently available data

Focusing on a 50km radius will allow the team to complete the analysis quickly

The survey will establish a poor study population

The data analysis completed by the analytics team points to three potential options that could be recommended by the team each of which will help their organization meet their desired goal. Given that there is no significant difference in the results that each option would provide, the team will reach a final recommendation by determining value to be delivered to specific parts of the organization and:

Assessing the impact of change for each one

Within the functional unit with the most staff

By which manager wants the change the most

Assessing the impact of change for each one

By optaining a decision by senior management

A supermarket chain wants to improve supplier relations. One of the targets to track and help achieve this goal is to improve the average transaction time per order by 10%. From a SMART target perspective, what is missing?

T - There is no mention of the time-frame by which this target must be met

is not attainable as weather conditions can slow down order times

S * should provide a target for each supplier

R - is not relevant to the goal as supplier relations is only dependent on quality of deliveries

T - There is no mention of the time-frame by which this target must be met

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?

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

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?

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?

What is the breakeven point before profits are generated?

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?

The analytics team has completed their analytics work and have agreed on a set of five key recommendations. They are now discussing how best to communicate these recommendations to the finance, customer service, and marketing teams. Recognizing that this is a diverse set of stakeholders, the business analysis professional reminds the team:

The recommendation should be communicated in different ways for different stakeholders

All stakeholders should receive information about the recommendation in the same way

Stakeholders only have the ability to understand summarized recommendations

Recommendations are important and must be communicated with as much detail as possible

The recommendation should be communicated in different ways for different stakeholders

An analyst at a phone manufacturing company is preparing a dashboard for Senior Executives that will cover past year's performance. It will be used in the upcoming senior leadership team meeting to make strategic decisions for the new year. While analyzing the data, the analyst found a lot of interesting revelations related to performance. What should the analyst keep in mind when preparing the Executive dashboard?

Keep it high-level, summarizing key insights and metrics

Keep some sections high-level, and some sections detailed

Keep it detailed if there is a lot of good information to share

Keep it high-level, summarizing key insights and metrics

Keep it detailed so one dashboard can be shared to all levels of the organization

IIBA CBDA Practice Test 3 - Free Online Exam Prep & Questions

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?

Become a Premium Member for full access

Unlock Premium Member

IIBA CBDA Practice Test 3

Question

IIBA CBDA Practice Tests

Practice Tests