D204 WGU Exam Study Guide | 100%
Correct | Verified | 2024 Version
Which of these is NOT a topic of interest for Discovery/Planning/Business Understanding?
A. Project Scope
B. Identify stakeholders and research questions/KPIs
C. Build a data pipeline (ETL)
D. Identify timeline, budget, and participants - ✔✔C
What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models due to excessive variability. - ✔✔A
In what phase does the analyst identify the stake holders and research questions? - ✔✔Business
Understanding/Planning/Discovery
In what phase does the analyst deal with the following:
Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source - ✔✔Data acquisition
In what phase does the analyst deal with the following:
Fixing improperly formatted values
, Dealing with duplicates, missing data, and outliers
Data reduction - ✔✔Data cleaning/wrangling/scrubbing/munging
In what phase does the analyst deal with the following:
Central Tendency/ Measures of center (e.g., mean, median, mode), variability (e.g., standard deviations
and quartiles) and distributions (e.g., normal, skewed, etc)
Identify basic correlations between variables
Pattern discovery - ✔✔Data exploration/Exploratory Data Analysis(EDA)/Descriptive Statistics
In what phase does the analyst deal with the following:
Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy. - ✔✔Predictive Modeling/Data
Modeling/Correlation based models/Regression models/Time Series
In what phase does the analyst deal with the following:
Creating training and testing datasets to build models from
Identify/detect patterns
Determine if groups (clusters) exist in data
Classify data into groups
Create models that "learn" and improve (e.g., machine/deep learning, AI, etc) - ✔✔Data
Mining/Machine Learning/AI/Supervised, Unsupervised Models
In what phase does the analyst deal with the following:
Tell a story with data
Correct | Verified | 2024 Version
Which of these is NOT a topic of interest for Discovery/Planning/Business Understanding?
A. Project Scope
B. Identify stakeholders and research questions/KPIs
C. Build a data pipeline (ETL)
D. Identify timeline, budget, and participants - ✔✔C
What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models due to excessive variability. - ✔✔A
In what phase does the analyst identify the stake holders and research questions? - ✔✔Business
Understanding/Planning/Discovery
In what phase does the analyst deal with the following:
Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source - ✔✔Data acquisition
In what phase does the analyst deal with the following:
Fixing improperly formatted values
, Dealing with duplicates, missing data, and outliers
Data reduction - ✔✔Data cleaning/wrangling/scrubbing/munging
In what phase does the analyst deal with the following:
Central Tendency/ Measures of center (e.g., mean, median, mode), variability (e.g., standard deviations
and quartiles) and distributions (e.g., normal, skewed, etc)
Identify basic correlations between variables
Pattern discovery - ✔✔Data exploration/Exploratory Data Analysis(EDA)/Descriptive Statistics
In what phase does the analyst deal with the following:
Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy. - ✔✔Predictive Modeling/Data
Modeling/Correlation based models/Regression models/Time Series
In what phase does the analyst deal with the following:
Creating training and testing datasets to build models from
Identify/detect patterns
Determine if groups (clusters) exist in data
Classify data into groups
Create models that "learn" and improve (e.g., machine/deep learning, AI, etc) - ✔✔Data
Mining/Machine Learning/AI/Supervised, Unsupervised Models
In what phase does the analyst deal with the following:
Tell a story with data
