- (Topic 1)
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?
Correct Answer:
A
The mean is the average of all the scores, which is found by adding them up and dividing by the number of scores. The mode is the most frequent score, which is the one that occurs the most times. To find the mean and mode for the outlined scores, we can use the following steps:
•Arrange the scores in ascending order: 64, 70, 80, 80, 90, 98, 100
•Add up the scores: 64 + 70 + 80 + 80 + 90 + 98 + 100 = 582
•Divide the sum by the number of scores: 582 / 7 = 83.14
•The mean is 83.14
•Count how many times each score occurs: 64 occurs once, 70 occurs once, 80 occurs twice, 90 occurs once, 98 occurs once, 100 occurs once
•The score that occurs the most times is 80
•The mode is 80
Therefore, the mean and mode for the outlined scores are 83.14 and 80, respectively12 References: 1: Mean, median, and mode review (article) | Khan Academy 2: Mean, Median, and Mode: Measures of Central Tendency - Statistics By Jim
- (Topic 2)
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?
Correct Answer:
C
According to the Introduction to Business Data Analytics: An Organizational View, one of the critical success factors for creating an enterprise analytics program is to have a management team that thinks analytically and fosters a culture where data science thrives. This means that the management team should understand the potential value and impact of data science, promote a data-driven mindset and decision-making process, encourage innovation and experimentation, and support collaboration and learning among the data science team and other stakeholders. A management team that thinks analytically and fosters a culture where data science thrives can help create a strategic vision, align the goals and objectives, allocate the resources and investments, and overcome the challenges and barriers for the enterprise analytics program.
References: Introduction to Business Data Analytics: An Organizational View, page 8- 9; CBDA Exam Blueprint, page 8; Guide to Business Data Analytics, page 85-86.
- (Topic 2)
A small business has recently launched their website and wants to understand how the website is being used. In particular, there is interest in identifying which areas of each page receive the most attention. The analyst has decided to communicate this information by displaying the top pages overlaid with colours denoting the volume of clicks.What type of visualization technique is being used here?
Correct Answer:
B
According to the Guide to Business Data Analytics, a heatmap is a type of visualization technique that uses colours to represent the values of a variable across a two- dimensional space. A heatmap can help reveal patterns, trends, and outliers in the data, as well as show the relative importance or intensity of different areas. In this situation, the analyst has decided to communicate the information about the website usage by displaying the top pages overlaid with colours denoting the volume of clicks. This is a heatmap, as it uses colours to show the distribution and magnitude of clicks across the web pages. References:Guide to Business Data Analytics, page 61;CBDA Exam Blueprint, page 7;Heat Maps | Trendz Analytics
- (Topic 2)
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?
Correct Answer:
A
According to the Guide to Business Data Analytics, one of the tasks under the domain of ??Identify the Research Questions?? is to identify sources of business information to consider. This task involves reviewing existing business information, such as documents, reports, databases, and systems, to determine what data is available, relevant, and reliable for answering the research questions. This task also involves identifying any gaps or limitations in the existing information and proposing ways to address them. References: Guide to Business Data Analytics, page 18-19; CBDA Exam Blueprint, page 6. Learn more1iiba.org2iiba.org3processexam.com
- (Topic 2)
A financial institution is interested in leveraging analytics to address a recent surge in credit card fraud. The company has decided to invest in streaming analytics to obtain instant access to real-time data to stop fraudulent behavior before it occurs. Which practice will help the financial institution integrate the data as it is collected?
Correct Answer:
D
Data architecture is the practice of designing and implementing the structures, models, standards, and processes that enable data integration, storage, and consumption. Data architecture is essential for streaming analytics, as it defines how data is collected, processed, and delivered in real time from multiple sources. Data architecture helps the financial institution integrate the data as it is collected by ensuring data compatibility, consistency, and quality across the streaming pipeline. Data architecture also supports data security, scalability, and performance for streaming analytics. References:
✑ Certification in Business Data Analytics (IIBA ® - CBDA), IIBA, accessed on January 20, 2024.
✑ Business Data Analytics Certification - CBDA Competencies | IIBA®, IIBA, accessed on January 20, 2024.
✑ Guide to Business Data Analytics, IIBA, 2020, p. 17-18.
✑ What is Streaming Analytics? | Google Cloud, Google Cloud, accessed on January 20, 2024.
✑ What is Data Integration? | IBM, IBM, accessed on January 20, 2024.
