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WGU D197 IT D193 Version Control – Examination Test 2026 – Full Questions with Accurate Solutions (Graded A+ Instant Download Study Guide)

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This WGU D197 IT D193 Version Control examination test includes fully solved 2026 questions with accurate solutions covering key IT analytics and version control processes. Topics include planning phase challenges, business understanding, stakeholder identification, data acquisition, ETL pipelines, SQL database structuring, data cleaning and wrangling, dealing with duplicates, missing data, outliers, data reduction, and descriptive statistical analysis including measures of central tendency, variability, and distributions. Perfect for exam preparation, homework help, practice tests, and mastering WGU D197/D193 IT analytics and version control concepts. Provides detailed step-by-step explanations of planning, acquisition, cleaning, and analysis phases of data workflows, preparing students for real-world IT decision-making and exam success. Ideal for students aiming for A+ grades, practical understanding of data analytics, and complete exam readiness. Instant download available for immediate access.

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WGU D197 IT D193 VERSION CONTROL
EXAMINATION TEST 2026 FULL QUESTIONS
AND ACCURATE SOLUTIONS GRADED A+

⩥ 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. Answer: A


⩥ In what phase does the analyst identify the stake holders and research
questions. Answer: 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. Answer: 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. Answer: 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. Answer: 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.. Answer:
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). Answer: Data Mining/Machine Learning/AI/Supervised,
Unsupervised Models


⩥ In what phase does the analyst deal with the following:


Tell a story with data
Provide a summary of analytic analysis
Provide insights to stakeholders
Create insightful graphs that showcase trends and forecasts. Answer:
Reporting and visualization/Dashboards


⩥ What is a potential problem in the data acquisition/query/collection
step?. Answer: Quality and type of data may make access more difficult

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