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WGU D204 DATA ANALYTICS FINAL EXAM 200 COMPLETE QUESTIONS AND DETAILED ANSWERS.
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WGU D204 DATA ANALYTICS FINAL EXAM 200 COMPLETE QUESTIONS AND DETAILED ANSWERS. Andre is part of a data science team. He is good at creating visualizations and reports. Which role on the team is best for him? – ANSWER data analyst Anomaly detection – ANSWER tese are cases that are dista...

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  • October 27, 2024
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  • 2024/2025
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WGU D204 DATA ANALYTICS FINAL EXAM 200
COMPLETE QUESTIONS AND DETAILED ANSWERS.



Andre is part of a data science team. He is good at creating visualizations and reports.
Which role on the team is best for him? – ANSWER data analyst


Anomaly detection – ANSWER tese are cases that are distant from the others in a
multidimensional space. They also can be cases that don't follow an expected pattern or
a trend over time, or in the case of fraud, they may be cases that match known
anomalies or other fraudulent cases.


APIs – ANSWER An API or Application Programming Interface isn't a source of data but
rather it's a way of sharing data, it can take data from one application to another. Uses
JSON files

A specification was changed early in your project, causing you to overspend a bit in the
first half. Your boss wants to know what the forecast costs will be at its completion. How
should you proceed? – ANSWER The overall costs will be increased unless the
specification is reduced in another part of the project.


active listening – ANSWE Rcuing into the verbal and nonverbal messages of others, as
well as the intent of what someone's saying.


Agile team meetings: IPM's – ANSWER iteration planning meetings.At the start of each
iteration, you would all get together and plan which portion of the product backlog will
get attention in the upcoming iteration. This is known as your IPM


Algebra – ANSWER Number one is that it allows you to scale up. The solution you
createto a problem should deal efficiently with many instances at once. Basically create
it once, run it many times. And the other one closely related to that is the ability to
generalize. Your solution should not apply to just a few specific cases with what's called
Magic Numbers, but to cases that vary in a wide range of arbitrary ways, so you want to

,prepare for as many contingencies as possible


Along with having your project team develop a list of project tasks, why else should you
have a brainstorming session? – ANSWER The members of your team will feel they
are involved, and will buy into the project at the start.Involving your project team in this
wayshould invite them to share all of their ideas.

,Bayes' theorem – ANSWER What Bayes' Theorem does is it gives you the posterior or
after-the-data probability of a hypothesis as a function of the likelihood of the data given
the hypothesis, the prior probability of the hypothesis and the probability of getting the
data you found.


Business acumen – ANSWER is a competency about understanding business concepts,
being business savvy, and understanding how businesses work


Business Architecture views help teams execute on: - ANSWER the business strategy,
business capabilities, business knowledge, value streams, and organizational views


Businness Acumen with Innovation – ANSWER Innovation typically happens in a cycle
ofdiscover, develop, and deliver. And most importantly it typically, iterates through this
cycle as the team learns and gets feedback on what they deliver


Calculus – ANSWER to do a maximization and a minimization, when you're trying to find
the balance between these disparate demands.


Change management – ANSWER Change management is about how we support and
guide those impacted by changes.


Choose the level of granularity – ANSWER And that is, how small do you go? The level
of detail is known as granularity, the size of the grains. Clearly, if you break your project
down into tiny grains, the plan will be too unwieldy, too complicated. But if you don't
break the tasks down far enough, then you won't have enough grip.


Classifying – ANSWER Locate the case in a k-dimensional space where k is the
number of variables or different kinds of information that you have. And there's probably
going tobe more than three. It might be hundreds or thousands. But once you get it
located in that space, compare the labels on nearby data, that of course assuming that
other data already has labels that it says whether it's a photo of a cat, or a dog, or a
building. And then once you've done that, assign the new case to the same category.
LOCATE,COMPARE, ASSIGN

, Classifying Methods - ANSWERK-means, k nearest neighbors. BInary Classificaiton.
Many Categories, Distance Measures.


Cluster Analysis Methods – ANSWER hierarchical clustering,K-means, or a
groupcentroid model. You can use density models or distribution models, or a
linkage clustering model


Clustering – ANSWER You can look at things like a K-dimensional space. So you
locateeach data point, each observation, in a multidimensional space with K-
dimensions for Kvariables. So if you have five dimensions, K is five. If you have 500,
then you have 500 dimensions. What you need to do then, is you need to find a way to
measure the

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