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
Which of the following is found in metadata?
Correct Answer:D
This question pertains to theData Concepts and Environmentsdomain, focusing on the content of metadata. Metadata describes data attributes, and the task is to identify what it typically includes.
✑ Transformations (Option A): Transformations (e.g., data cleaning steps) are part of data lineage, not metadata.
✑ Data lineage (Option B): Data lineage tracks data flow and transformations, which is related to metadata but not a direct component.
✑ Syntax (Option C): Syntax refers to code structure, not a metadata component.
✑ Variable types (Option D): Metadata includes information about data fields, such as variable types (e.g., integer, string), which is a standard component.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and metadata typically contains details like variable types to describe the dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
Which of the following file types separates data using a delimiter?
Correct Answer:D
This question falls under theData Concepts and Environmentsdomain, focusing on understanding file formats and their structures. The task is to identify a file type that uses delimiters to separate data.
✑ XML (Option A): XML uses tags to structure data, not delimiters.
✑ HTML (Option B): HTML is a markup language for web pages, not a data file format using delimiters.
✑ JSON (Option C): JSON uses key-value pairs and nested structures, not delimiters like commas.
✑ CSV (Option D): CSV (Comma-Separated Values) uses delimiters (typically commas) to separate data fields, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as file formats like CSV that use delimiters.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
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A data analyst is creating a forecast for a product line introduced early last year. Which of the following should the analyst use to create projected sales and customer satisfaction for next year?
Correct Answer:D
This question pertains to theData Analysisdomain, focusing on data types and methods for forecasting. The task involves projecting sales (numerical) and customer satisfaction (likely ordinal,e.g., ratings), requiring appropriate data attributes.
✑ Standard deviation and constraints (Option A): Standard deviation measures data
spread, and constraints are conditions, neither of which directly supports
forecasting.
✑ Mean and median (Option B): Mean and median are descriptive statistics, not sufficient for forecasting future values.
✑ Boolean data and an array (Option C): Boolean data (true/false) and arrays (data structures) are not relevant for forecasting sales and satisfaction.
✑ Numerical and ordinal attributes (Option D): Sales are numerical (e.g., units sold), and customer satisfaction is often ordinal (e.g., 1-5 ratings). These attributes are suitable for forecasting models (e.g., time-series analysis for sales, regression for satisfaction).
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and numerical and ordinal attributes are key for forecasting sales and satisfaction.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
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An analyst needs to create a collection of dashboards for multiple teams within their organization. Which of the following should the analyst do first before starting the project?
Correct Answer:A
This question pertains to theVisualization and Reportingdomain, focusing on the initial steps in dashboard creation. The analyst is starting a project for multiple teams, so understanding the audience is critical.
✑ Evaluate the user persona type for the dashboards (Option A): User personas
define the needs, roles, and preferences of the audience (e.g., executives vs. analysts), which is the firststep to ensure the dashboards meet user requirements.
✑ Determine the number of team members who need to access the dashboards
(Option B): This is important for access control but not the first step in design.
✑ Determine the delivery method of the dashboards (Option C): Delivery method (e.g., self-service) is decided later, after understanding user needs.
✑ Evaluate the KPIs for the dashboards (Option D): KPIs are defined after understanding the user personas and their goals.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and evaluating user personas is the first step in this process.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
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