A data analyst receives the following sales data for a convenience store:
Item Quantity Price
Chocolate Bars 7
$1.99
Vanilla Ice Bars
2
$4.99
Chocolate Wafers 6
$0.99
Peanut Butter 2
$2.99
Cups 3
$4.99
Strawberry Jam 3
$4.99
Chocolate Cake 9
$6.99
Milk Chocolate 2
$2.99
Almonds 5
$2.99
The analyst needs to provide information on the products that contain chocolate. Which of the following RegEx should the analyst use to filter the chocolate products?
Correct Answer:
B
This question falls under theData Acquisition and Preparationdomain, which includes techniques for manipulating and filtering data, such as using regular expressions (RegEx) to identify specific patterns in text data. The task is to filter items containing the word "Chocolate."
✑ Chocolate! (Option A): In RegEx, "!" is not a valid pattern for matching a word like
"Chocolate." It typically denotes negation in some contexts, but here it??s incorrect.
✑ Chocolate$ (Option B): The "$" in RegEx anchors the pattern to the end of the string, meaning it matches "Chocolate" at the end of an item name (e.g., "Milk Chocolate"). This is the most appropriate pattern for identifying items ending with "Chocolate," which applies to the relevant items in the list.
✑ %Chocolate& (Option C): "%" and "&" are not standard RegEx anchors; they??re often used in SQL LIKE patterns, not RegEx, making this incorrect.
✑ #Chocolate#$ (Option D): "#" is not a standard RegEx anchor, and this pattern would look for "Chocolate" surrounded by "#", which doesn??t match the data.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation" , and RegEx is a common technique for filtering text data. The pattern "Chocolate$" correctly identifies items like "Chocolate Bars," "Chocolate Wafers," "Chocolate Cake," and "Milk Chocolate."
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation
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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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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 company has a document that includes the names of key metrics and the standard for how those metrics are calculated company-wide. Which of the following describes this documentation?
Correct Answer:
A
This question falls under theData Concepts and Environmentsdomain, which involves understanding documentation types related to data management. The document describes key metrics and their calculation standards, which points to a specific type of metadata documentation.
✑ Data dictionary (Option A): A data dictionary defines data elements, including
metrics, their meanings, and calculation methods, ensuring consistency across the organization. This matches the description.
✑ Data explainability report (Option B): This term is more associated with AI/ML,
explaining model decisions, not metric definitions.
✑ Data lineage (Option C): Data lineage tracks the flow of data through systems, not metric definitions or calculations.
✑ Data flow diagram (Option D): A data flow diagram visualizes data processes, not metric standards.
The DA0-002 Data Concepts and Environments domain includes understanding "basic concepts of data schemas and dimensions" , and a data dictionary is a foundational tool for defining metrics.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments
A sales manager wants a dashboard that shows sales aggregated by region and identifies high-volume sales by salesperson per region. Which of the following communication techniques best displays this information?
Correct Answer:
B
This question pertains to theVisualization and Reportingdomain, focusing on dashboard features for displaying data. The dashboard needs to show aggregated sales by region and allow identification of high-volume sales by salesperson within each region.
✑ Defined parameters (Option A): Parameters set specific values (e.g., a date range), but they don??t directly enable interaction with aggregated data.
✑ Filter options (Option B): Filter options allow the user to select a region and then view salespersons within that region, enabling the identification of high-volume sales per region interactively.
✑ Level of detail (Option C): Level of detail determines the granularity of data shown but doesn??t facilitate interactive exploration.
✑ User persona (Option D): User personas guide dashboard design but aren??t a communication technique for displaying data.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and filter options best enable the interactive analysis required.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
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