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An analyst must use the same data to create reports for police patrol supervisors, the city council, and a public website. Which of the following is the best way to differentiate the reports?
Correct Answer:A
This question falls under theVisualization and Reportingdomain, focusing on tailoring reports for different audiences. The same data is used for three distinct groups (supervisors, city council, public), requiring differentiation.
✑ Persona type (Option A): Persona types define the audience??s needs and
preferences (e.g., supervisors need operational details, the city council needs summaries, the public needs simplified data), making this the best way to differentiate the reports.
✑ Detail levels (Option B): Detail levels are a result of persona types, not the method of differentiation.
✑ Accessibility (Option C): Accessibility ensures access for all users (e.g., screen readers), but it??s not the primary way to differentiate content.
✑ Sensitivity (Option D): Sensitivity determines data access (e.g., confidential vs. public), but the scenario implies all reports use the same data, just presented differently.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and persona types guide report differentiation for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
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A data analyst is evaluating all conditions in a query. Which of the following is the best logical function to accomplish this task?
Correct Answer:C
This question falls under theData Analysisdomain, focusing on SQL logical functions for query evaluation. The task is to evaluate "all conditions," implying multiple conditions must be true together.
✑ OR (Option A): OR returns true if any condition is true, not ensuring all conditions
are met.
✑ NOT (Option B): NOT negates a condition, not suitable for combining multiple
conditions.
✑ AND (Option C): AND requires all conditions to be true, which aligns with evaluating "allconditions" in a query.
✑ IF (Option D): IF is a conditional function for decision-making, not for evaluating multiple conditions together.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and AND is the best logical function for ensuring all conditions are met.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
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A business intelligence analyst is creating an employee retention dashboard that looks at data from the last five years. The analyst is interested in identifying patterns that can be studied further. Which of the following is the best method to apply to the dashboard?
Correct Answer:C
This question falls under theData Analysisdomain, focusing on analytical methods for dashboards. The analyst wants to identify patterns in historical data for further study, which points to a specific type of analytics.
✑ Predictive (Option A): Predictive analytics forecasts future outcomes, not focused
on identifying patterns for further study.
✑ Prescriptive (Option B): Prescriptive analytics provides recommendations, which goes beyond identifying patterns.
✑ Diagnostic (Option C): Diagnostic analytics examines historical data to identify patterns, trends, and correlations, enabling further investigation, which fits the scenario.
✑ Descriptive (Option D): Descriptive analytics summarizes what happened but doesn??t focus on identifying patterns for deeper study.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and diagnostic analytics is best for pattern identification in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
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A user needs a report that shows the main causes of customer churn rate in a three-year period. Which of the following methods provides this information?
Correct Answer:B
This question falls under theData Analysisdomain, focusing on analytical methods for reporting. The task is to identify the causes of customer churn over three years, which involves analyzing historical data.
✑ Inferential (Option A): Inferential statistics make predictions or generalizations
about a population, not focused on identifying causes in historical data.
✑ Descriptive (Option B): Descriptive analytics summarizes historical data to identify patterns and causes (e.g., reasons for churn), which fits the task.
✑ Prescriptive (Option C): Prescriptive analytics provides recommendations, which goes beyond identifying causes.
✑ Predictive (Option D): Predictive analytics forecasts future outcomes, not focused on historical causes.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and descriptive analytics is best for identifying causes in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
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A developer builds an online survey that requires all questions to have an answer. Which of the following inconsistencies does this setting prevent?
Correct Answer:A
This question pertains to theData Governancedomain, focusing on data quality and consistency in survey design. Requiring all questions to have an answer ensures a specific type of data quality.
✑ Missing values (Option A): Requiring answers prevents missing values (NULLs or
blanks) in the survey responses, which is the primary inconsistency this setting addresses.
✑ Duplication (Option B): Duplication refers to repeated records, not prevented by requiring answers.
✑ Data corruption (Option C): Data corruption involves damaged or altered data, not related to missing answers.
✑ Completeness (Option D): Completeness is the concept of having all necessary data, but "missing values" is the specific inconsistency prevented here.
The DA0-002 Data Governance domain includes "data quality control concepts," and preventing missing values ensures data integrity in survey responses.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
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