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D204 - WGU MSDA
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Preguntas del test (82)
1Which activity does an analyst perform in the discovery phase of the data analytics life cycle?
- ACollecting data
- BCleaning data
- CIdentifying outliers
- DIdentifying business needs
2In which phase of the data analytics life cycle does an analyst build a histogram?
- AData acquisition
- BData exploration
- CDiscovery
- DPredictive modeling
3An analyst applies a statistical formula to obtain the average temperature for a city over the last 50 years. Which phase of the data analytics life cycle is represented by this activity?
- AData acquisition
- BExploratory data analysis
- CPredictive modeling
- DData reporting
4An analyst has been tasked with defining data columns that could contain null values. Which activity of the data acquisition phase is represented?
- ACollecting data
- BDisqualifying data sources
- CDetecting missing values
- DTransforming improperly formatted text
5Which activity in the data analytics life cycle occurs during the data acquisition phase and requires the most time and effort from the data analyst?
- ASelecting the data sources
- BImporting data into a database
- CCleaning data
- DDefining goals
6What might be developed by data analysts when acquiring data from a data warehouse?
- AThe procedures for extracting files from the data warehouse
- BThe procedures for updating tables in the data warehouse
- CThe relational structure of tables
- DThe SQL queries of data within the tables
7What can be identified using a box plot?
- AFrequency
- BCorrelation
- CInterquartile range
- DMean
8What will be a consequence of poor attention to detail during the data exploration phase?
- ANot enough variables will be considered in the analysis.
- BThe outcome of the analysis will be misaligned to business needs.
- CThe analyst will lack insight into the structure of the data set.
- DThe model will be built using the wrong data set.
9Which aspect of data exploration occurs when an analyst writes code to compile a bar graph of dog food sales per month?
- APerformance of a correlation analysis
- BAnalysis of data anomalies
- CVerification through visualization
- DDetermination of variabilities
10An oil company uses robots and sensors to detect how pipeline corrosion changes over time. The collected data is then used in a predictive model that estimates when a pipe should be replaced. How does the predictive model serve this oil company?
- ATo minimize interruptions from maintenance shutdowns
- BTo minimize the need for workforce safety training
- CTo improve compliance with pipeline construction standards
- DTo improve compliance with pipeline disposal standards
11During which phase in the data analytics life cycle would a churn analysis be performed?
- AData cleaning
- BData acquisition
- CPredictive analysis
- DRepresentation and reporting
12Which mistake is commonly made during the predictive analytics phase?
- AThe data are separated into different sets.
- BThe variables are separated into response and independent variables.
- CThe data are prepared before the model is developed.
- DThe model is developed before the research question is known.
13Why might a data analyst resample a data set with replacement data in a data mining project?
- AMisidentification of causation due to correlation
- BWrong variables chosen for analyzation
- CToo little data for training and testing data sets
- DSkewed data resulting from outliers
14A data analyst has identified combinations of sales transactions that frequently occur together in data over the past 5 years. Which phase of the data analytics life cycle is represented by this analysis?
- AData acquisition
- BRepresentation and reporting
- CData mining
- DPredictive modeling
15An analyst realizes that the data set has been reduced significantly, resulting in sample sizes that are too small. In which phase of the data analytics life cycle did this likely occur?
- AData exploration
- BData modeling
- CData mining
- DData discovery
16What strategy will contribute to effective data representation and reporting?
- ACreating a new training data set
- BSelecting data for a prediction model
- CExcluding unrelated data
- DExtracting data from source repositories
17What are two purposes of the reporting phase of the data analytics life cycle?
- AProvide the conclusions from the analysis in an engaging manner
- BProvide a tool for decision-makers to import and analyze more data
- CProvide actionable insights that can inform decision-making
- DProvide an automated way for decision-makers to test their own models
18During which phase of the data analytic life cycle does an analyst create a story to report data?
- AData acquisition
- BData mining
- CData reporting
- DData cleaning
19What is a common duty of a database administrator?
- ASet project timelines, milestones, and goals
- BAcquire funding for data analytics projects
- CMaintain data on the IT infrastructure
- DDefine business needs at the onset of a project
20What is an example of an external stakeholder for a data analytics project?
- APresident/CEO
- BProject manager
- CRegulatory body
- DData analyst's supervisor
21Which party has the primary vision for a data analytics project and brings resources to complete it?
- AProject sponsors
- BProject managers
- CCustomers
- DData analysts
22What does the critical path represent in data analytics project management?
- AMinimum time to complete independent tasks
- BMaximum time to complete independent tasks
- CMinimum time to complete dependent tasks
- DMaximum time to complete dependent tasks
23A data analytics project manager has been asked to complete a project on a very short timeline. Which action is likely to yield positive results?
- AOutsource the skilled work to an unproven vendor
- BExpand the team with experienced staff
- CRequire current team to work overtime
- DAccept lowered quality standards
24Which type of project management problem occurs when a data mining task has started but a data acquisition task has not been completed?
- AScope
- BSchedule
- CProcedure
- DCost
25How can an organization improve interprofessional communication among team members?
- ABy setting work priorities for team members
- BBy requiring weekly updates on project deadlines
- CBy using tools that provide a team-based collaboration space
- DBy ensuring employees can recite the desired outcomes
26A data analyst needs to contact a specific member of the database administration team. Which method should be used to discover the person's email address?
- AAsk the project's customers
- BAsk the project's sponsors
- CSend an email to project stakeholders
- DSend an email to the team member's manager
27Which feature is commonly found in collaboration tools like Jira, Slack, Teams, and PivotalTracker?
- AReal-time messaging
- BMultivariate analysis
- CEquation editor
- DSource code management
28Which action can the project manager take to keep the team engaged in the analytics project?
- AAt the end of the project, the team publishes an extensive research report and includes it in an email to project stakeholders.
- BThroughout the project, the project manager communicates insights from the data analytics team and provides ideas of ways to act on those insights.
- CAt the end of the project, the project manager sends an email with the predictive model to the stakeholders so they can use it.
- DThroughout the project, the project manager holds regular meetings so the entire data analytics team can showcase their work to different departments.
29What is an effective method for a data analyst to prepare for a one-on-one meeting with a manager?
- AMake a written list of all source code comments
- BAsk other inside employees about the manager's reputation
- CBring a set of questions to draw on to keep the conversation going
- DCreate an essay summarizing steps in the source code
30What is a characteristic of active listening?
- AActively working on a task while listening to the speaker
- BSeeking to understand the speaker's emotions and intent
- CFocusing intently on the content of the message
- DWaiting patiently to share one's own thoughts
31Which circumstance could cause a data analyst to have difficulty developing a model to answer a business question?
- AProject scope creep
- BPoor project budgeting
- CLack of relevant data sources
- DLack of stakeholder support
32A data analytics project team is preparing to develop a predictive model that will be included within a business intelligence tool for upper management. Which step should be considered for inclusion when creating the project schedule?
- AModel testing and validation for users
- BBusiness intelligence tool interface training
- CModel training and testing for stakeholders
- DBusiness intelligence tool data transformation training
33Which task would an analyst consider first during the discovery phase of the data analytics lifecycle?
- ASeek out necessary data sources.
- BFormulate a project plan.
- CIdentify project goals.
- DDevelop key metrics.
34Numerical measurements of the amount of a toxic chemical substance are recorded in a large database. Which hypothesis can the data analyst answer through exploratory data analytic methods?
- AThe chemical will not cause harm to the habitat's native species.
- BThe chemical contamination is a result of human activity.
- CThe statistical distribution of the chemical measurements is normal.
- DThe best analytic approach for analyzing the data is linear regression.
35A restaurant owner wants to sponsor a data analytics project to provide insights regarding hamburger sales before developing a strategy for increasing sales. Which question is framed appropriately for the data analytics project?
- AWhat are the characteristics of customers who buy hamburgers?
- BWhat does the supply and demand curve look like for hamburgers?
- CWhich discount coupons should we send to neighborhood residents?
- DWhich varieties of hamburgers are featured by competitors?
36Which organizational objective could be accomplished with a descriptive data analytics project using website request logs as a data source?
- AExplain why web data transfer has increased 25%
- BEstimate the traffic increase for a new product launch
- CImprove the speed of server request processing
- DRecommend a strategy to increase network capacity
37A travel website tabulated the results of their latest marketing campaign to understand the relationship of clicks-to-sales conversions. Which area of analytics does this activity represent?
- APrescriptive
- BProactive
- CDescriptive
- DPredictive
38An analyst is looking at data that includes the customer's address, date of purchase, and age. Which question could be answered from this data?
- AWhich customer has spent the highest dollar amount?
- BWhich customer is most likely to respond favorably to the next marketing campaign?
- CWhich state has the highest total customers?
- DWhich product has sold the most in a certain state?
39Which outcome should be expected when working with data aggregated from multiple sources?
- AConsistently named fields
- BInconsistently named fields
- CData needs cleaning
- DData does not need cleaning
40Which technique can a project manager use to foster the identification of quality data analytics questions?
- AOrganized project planning
- BRigorous data cleaning
- CFrequent collaboration with the team
- DAcquisition of abundant project resources
41A data analyst notices that the data selected for an analytics project is slightly misaligned with the research question. How can the data analyst resolve this situation?
- AHalt the data analytics project to pursue a new research question
- BDive deeper into the data to identify data quality issues
- CAdjust the research question to reframe the analysis
- DTransform the data to a new metric
42An analyst has been asked to analyze the open-ended responses from customers on a satisfaction survey. Which type of data is the analyst working with on this project?
- ATransactional
- BSecondary
- CQualitative
- DQuantitative
43A U.S. company collects and sells information on consumers. Which law prevents the company from collecting information on European Union consumers without their permission?
- AElectronic Communications Privacy Act
- BGeneral Data Protection Regulation
- CStored Communication Act
- DInformation Nondiscrimination Act
44A consumer sues an entertainment streaming company for leaking personal information regarding her viewing habits. Which ASA ethical standard did the streaming company violate?
- AConflict of interest
- BBiases
- CPrivacy
- DUnfair discrimination
45A specific drug is manufactured for the treatment of depression. The company decides to ignore research results on an alternative, less expensive, drug treatment in order to make higher profits. Which ASA ethical standard has the company violated?
- AUnfair discrimination
- BReproducible results
- CConflict of interest
- DTransparent assumptions
46What do open-source software tools and widely available analysis tools, such as spreadsheets, help accomplish?
- AData schemas
- BData democratization
- CData security
- DData compliance
47What is a feature of SQL?
- AIt is an object-oriented programming language.
- BThe basic language is the same across database servers.
- CIt has built-in chart and graph creation.
- DIt is used to interface with relational databases.
48What is an example of unstructured data?
- ANames, dates, and addresses
- BCredit card numbers that include a credit score
- CText messages that include video
- DHeight, weight, and gender
49Which tool should a researcher use to conduct a univariate analysis on complex statistical data?
- ATableau
- BPower BI
- CR
- DSQL
50Which language allows for charts and is geared towards statistical analysis?
- APower BI
- BTableau
- CR
- DSQL
51What is an example of random sampling of college students?
- ASurveying students chosen arbitrarily from around the entire college campus
- BSurveying every student in the college library
- CSurveying students chosen arbitrarily in the library of the university
- DSurveying every student on campus
52Which type of analysis would be used to predict a binary outcome based on a set of independent variables?
- AHypothesis testing
- BDescriptive statistics
- CRegression
- DTime Series
53Which type of data analysis is appropriate if the goal is to minimize the cost of a diet, using a data set consisting of the following variables: protein content, fat content, and cost per unit?
- ADecision trees
- BCalculus
- COptimization
- DBayes' theorem
54Which technique can be used to determine the likelihood that a positive diagnostic test result indicates whether the disease is actually present?
- ABayes' theorem
- BCentral limit theorem
- CRegression
- DOptimization
55Which concept should be considered when choosing variables for inclusion in a linear regression model?
- AFeasibility of merging the variables
- BFeasibility of controlling the variables
- CFeasibility of testing the variables
- DFeasibility of classifying the variables
56A neural network algorithm in machine learning endeavors to recognize underlying relationships in a set of data. What does this process mimic?
- AThe way a computer processes data
- BThe way the human brain operates
- CThe way architects establish functionality
- DThe way that social media builds networks
57Which characteristics are used to group data together in a cluster analysis?
- ADistance
- BSimilarity
- CShape
- DSize
58Which tool has libraries that expand its visualization capabilities?
- APython
- BTableau
- CAdobe Infographics
- DD3.js
59Which tools can be used for performing statistics and creating interactive data visualization for large datasets from various sources?
- AGantt Chart
- BSQL
- CTableau
- DR
60Which type of data representation should a data analyst use to display expense categories as a percentage of total business expenses?
- AMap visualization
- BLine chart
- CPie chart
- DScatter plot
61Which data file type would be chosen for meta tag data like XML?
- Astructured
- Bsemi-structured
- Cunstructured
62What should an analyst do to make the data easy to digest for stakeholders?
- ABe as detailed as possible
- BUse visual representations
- CGenerate long and complex reports
63What term is defined as doing the right thing with data?
- Adata ethics
- Bdata privacy
- Cdata discrimination
64Which organizational member is tasked with managing the "iron triangle"?
- Aproject sponsor
- Bproject manager
- Cdata analyst
65Which phase of the data analytics life cycle provides structure to data accessible via relational databases?
- Adata acquisition
- Bdata cleaning
- Cdata exploration
- Ddata mining
66What term is defined as a relationship between two variables?
- Acausation
- Bcorrelation
- Cpredictive
- Dprescriptive
67Which type of graph provides a two-dimensional graph to visualize relationships?
- Aboxplot
- Bheatmap
- Cscatterplot
- Dhistogram
68Which data analysis technique is used when an analyst wants to assign an item to a specific category based on various conditions?
- Aregression
- Bclustering
- Ctime series
- Dclassification
69Which data analysis technique looks for trends in data?
- Atime series
- Bprincipal component analysis
- Cclassification
- Dregression
70Which language allows a data analyst to interface with relational databases?
- APython
- BR
- CSQL
- DTableau
71What two soft skills are involved with persuasion? (Choose two).
- Aactive listening
- Bdata ethics
- Cproject management
- Dinterpersonal skills
72What are the project tasks that must start and finish on-time to ensure that a project ends on schedule?
- AGantt chart
- Biron triangle
- Ccritical path
73Which individual or group has an interest in any decision or activity within an organization?
- Aproject sponsor
- Bstakeholder
- Cprogram manager
74What term is defined as responsibly collecting, using, and storing data about people?
- Adata ethics
- Bdata discrimination
- Cdata privacy
75What are the components of the iron triangle?
- Atime, cost, delivery
- Bquality, time, midpoint
- Cquality, delivery, midpoint
- Dcost, time, quality
76Which phase of the data analytics life cycle allows an analyst to use graphs or interactive dashboards to tell the story of the data?
- Adata mining
- Bpredictive modeling
- Creporting and visualization
- Ddata exploration
77Which phase of the data analytics life cycle does the analyst begin to understand the nature of the data?
- Adata acquisition
- Bdata cleaning
- Cdata exploration
- Ddata mining
78Which phase of the data analytics life cycle is also known as the discovery phase?
- Adata acquisition
- Bbusiness understanding
- Cdata exploration
- Dpredictive modeling
79What happened?
- ADescriptive Analytics
- BDiagnostic Analytics
- CPredictive Analytics
- DPrescriptive Analytics
80Why did it happen?
- ADiagnostic Analytics
- BDescriptive Analytics
- CPredictive Analytics
- DPrescriptive Analytics
81What will happen?
- APredictive Analytics
- BDescriptive Analytics
- CDiagnostic Analytics
- DPrescriptive Analytics
82How can we make it happen?
- APrescriptive Analytics
- BDescriptive Analytics
- CDiagnostic Analytics
- DPredictive Analytics
Información
- Descripción
- Graduate WGU MSDA Test sobre D204 - WGU MSDA, creado por Craig Willey el 04/05/2024.
- Autor
- Craig Willey
- Idioma
- English
- Visitas
- 5
- Etiquetas
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