3.2.1.Quiz_From Understanding to Preparation - sj50179/IBM-Data-Science-Professional-Certificate GitHub Wiki

From Understanding to Preparation

LATEST SUBMISSION GRADE 80%

Question 1

Select the correct statement about the Data Understanding stage.

The Data Understanding stage encompasses sorting the data.

The Data Understanding stage encompasses all activities related to constructing the dataset.

The Data Understanding stage encompasses removing redundant data.

All of the above statements about the Data Understanding stage are correct.

Correct

Question 2

In the case study, during the Data Understanding stage, data scientists discovered that not all the congestive heart failure admissions that were expected were being captured. What action did they take to resolve the issue?

The data scientists did not need to do anything. In this case, expectations for the data were incorrect.

The data scientists looped back to the Business Understanding stage to redefine the requirements.

The data scientists added the missing data manually.

The data scientists looped back to the Data Collection stage, adding secondary and tertiary diagnoses, and building a more comprehensive definition of congestive heart failure admission.

Correct

Building a data set is an iterative process. The methods for defining and collecting the data can be refined until all the required information is accurately captured, even if that means looping back to a previous stage in the model.

Question 3

The Data Preparation stage involves correcting invalid values and addressing outliers.

True

Correct

Question 4

During the Data Preparation stage, clients and stakeholders aggregate the data and merge them from different sources, enabling data scientists to use clean data in the analysis.

False

Correct

Question 5

Select the correct statement about the Data Preparation stage of the data science methodology.

0 / 1 point

Data Preparation is typically the least time-consuming methodological step.

Data Preparation involves dealing with missing improperly coded data and can include using text analysis to structure unstructured or semi-structured text data.

Data Preparation cannot be accelerated through automation.

None of the above statements are correct.

Incorrect

---

LATEST SUBMISSION GRADE 100%

Question 1

The Data Understanding stage refers to the stage of removing redundant data.

False

Correct

Question 2

In the case study, working through the Data Preparation stage, it was revealed that the initial definition was not capturing all of the congestive heart failure admissions that were expected, based on clinical experience.

False

Correct

Correct. It was working through the Data Understanding staging that the initial definition was found to be incomplete.

Question 3

The Data Preparation stage involves correcting invalid values and addressing outliers.

True

Correct

Question 4

During the Data Preparation stage, clients and stakeholders aggregate the data and merge them from different sources, enabling data scientists to use clean data in the analysis.

False

Correct

Question 5

The Data Preparation stage is a very iterative and complicated stage that cannot be accelerated through automation.

False

Correct