1. Which approach to data analytics attempts to estimate or predict, for each unit, the numerical value of some variable using some type of statistical model?

Similarity matching.

Classification.

Data reduction.

Regression.

2. One of the most important aspects of data analytics that impacts tax is:

predictive analytics.

co-occurrence grouping.

similarity matching.

data quality.

3. Which approach to data analytics attempts to identify similar individuals based on data known about them?

• Similarity matching.

• Clustering.

• Co-occurrence grouping.

• Link prediction.

4. Which of the following best describes the goal of defining and addressing problems through statistical data analysis:

Multiple Choice

• recognize what is meant by data quality, be it completeness, reliability or validity

• perform basic analysis to understand the quality of the underlying data and its ability to address the business question

• demonstrate ability to sort, rearrange, merge and reconfigure data in a manner that allows enhanced analysis

• identify and implement an approach that will use statistical data analysis to draw conclusions and make recommendations on a timely basis

5. With a goal to give organizations the information they need to make sound and timely business decisions, data analytics often involves all of the following except:

Multiple Choice

• technologies.

• statistics.

• growth.

• databases.

6. Which of the following best describes the purpose of relational databases?

Multiple Choice

• To ensure that business rules are enforced

• To increase information redundancy in the organization

• To provide business information to data analysts

• To support business processes across the organization

7. All of the following are included in the five steps of the ETL process except:

Multiple Choice

• Determine the purpose and scope of the data request

• Obtain the data

• Validate the data for completeness and integrity

• Scrub the data

8. Which of the following best describes the purpose of a non-key attribute?

Multiple Choice

• To ensure that each row in the table is unique

• To create the relationship between two tables

• To provide business information

• To support business processes across the organization

9. The objective of data transformation is:

Multiple Choice

• To validate the data for completeness and integrity

• To load the data into the appropriate tool for analysis

• To identify and obtain the data from the appropriate source

• To identify which approach to data analytics should be used

10. Relational databases help to reduce redundant data. Which of the following is NOT a reason to reduce redundant data?

Multiple Choice

• It takes up unnecessary space

• It is expensive

• It increases the risk of data-entry errors

• It is easier to perform analysis in spreadsheets

11. Diagnostic analytics include all of the following except:

rev: 06_13_2020_QC_CS-216432

Multiple Choice

• Similarity matching

• Clustering

• Profiling

• All of the choices are correct

12. Which approach to data analytics attempts to divide individuals into groups in a useful or meaningful way?

Multiple Choice

• Clustering

• Data reduction

• Similarity matching

• Co-occurrence grouping

13. Data profiling is used to assess data quality and internal controls and typically involves the following steps except:

Multiple Choice

• Filter the results.

• Identify the objects or activity you want to profile.

• Determine the types of profiling you want to perform.

• Set boundaries or thresholds for the activity.

14. Which of the following best describes a dependent variable?

Multiple Choice

• Output

• Input

• Application

• Operation

15. __ mark the split between one class and another.

Multiple Choice

• Decision trees

• Identifying questions

• Decision boundaries

• Linear classifiers

16. All of the following are examples of a supervised approach to evaluation data except:

Multiple Choice

• Causal modeling

• Data reduction

• Link prediction

• Regression

17. Red, Yellow, and Blue would be best described as an example of:

Multiple Choice

• Nominal data

• Ordinal data

• Structured data

• Continuous Data

18. Which type of chart is preferred for when quartiles, median, and outliers are required for analysis and insights?

Multiple Choice

• Scatter plots

• Box and whisker plots

• Line chart

• Pie chart

19. The following are typical examples of nominal data except:

Multiple Choice

• Marital status

• State of residency

• Temperature

• Nationality