Free Practice Questions for CompTIA DA0-002 Exam

This question falls under the Data Governance domain of CompTIA Data+ DA0-002, focusing on troubleshooting data quality issues in dashboards. The dashboard isn’t loading properly, indicating a potential issue with the data connection or configuration.

Review the data layer and data source (Option A): The data layer (e.g., queries, connections) and data source (e.g., database) are the foundation of a dashboard. If the information isn’t loading, the issue likely lies in the data connection or query configuration, making this the first step.

Validate that the database is up-to-date (Option B): While this might be a subsequent step, it assumes the connection is working, which should be confirmed first.

Check that the program is updated to the latest version (Option C): Software updates might fix bugs, but this isn’t the most immediate cause of data not loading.

Ensure the correct filters are displaying on the dashboard (Option D): Filters affect data display, but if the data isn’t loading at all, the issue is more fundamental.

The DA0-002 Data Governance domain includes "data quality control concepts," and reviewing the data layer and source is the primary step in troubleshooting dashboard loading issues.

This question is part of the Visualization and Reporting domain, focusing on selecting the appropriate report type for a specific purpose. The manager needs a recurring report on incomplete timesheets to guide outreach, which requires a concise, data-driven report.

Summary (Option A): A summary report aggregates data (e.g., total incomplete timesheets per employee) and presents it concisely, making it ideal for recurring use to guide decisions like employee outreach.

Infographic (Option B): Infographics are visual representations for broad audiences, not typically used for recurring, detailed employee outreach tasks.

Snapshot (Option C): A snapshot report captures data at a specific point in time, but it’s not ideal for recurring analysis of trends or aggregates.

Ad hoc (Option D): Ad hoc reports are one-time, on-demand reports, not suitable for recurring needs.

The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" , and a summary report best fits the need for recurring, actionable data.

This question pertains to the Data Analysis domain, focusing on techniques for categorizing data. The task involves grouping service calls into priority levels (low, medium, high), which requires segmenting numerical or ordinal data into discrete categories.

Augmentation (Option A): Augmentation involves adding data (e.g., in machine learning), not categorizing existing data.

Imputation (Option B): Imputation fills in missing values, not relevant for categorizing priority levels.

Scaling (Option C): Scaling adjusts numerical data to a common range (e.g., normalization), not suitable for creating priority categories.

Binning (Option D): Binning groups continuous or ordinal data into discrete categories (e.g., assigning calls to low, medium, or high priority based on a metric like response time), which fits the task.

The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and binning is a standard technique for categorizing data for analysis.

This question pertains to the Data Concepts and Environments domain, focusing on documentation for understanding data processes. The analyst needs to understand automation of data components, which involves data movement and processes.

Data flow diagram (Option A): A data flow diagram (DFD) visualizes how data moves through systems, including automated processes, making it the best starting point.

Data explainability report (Option B): This is related to AI/ML model transparency, not data automation.

Data dictionary (Option C): A data dictionary defines data elements, not how they’re automated.

Data lineage (Option D): Data lineage tracks data origin and transformations but doesn’t focus on automation processes.

The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data flow diagram is key for visualizing automation.

This question falls under the Data Concepts and Environments domain, 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.

This question falls under the Data Governance domain, focusing on data access and security troubleshooting. The analyst reset their password, but the recurring analysis failed to log in, indicating a mismatch.

The company changed its database authentication method (Option A): This would affect all users, not just the analyst, and there’s no indication of a broader change.

The password expiration process locked the account (Option B): The analyst reset the password as required, so the account isn’t likely locked due to expiration.

The analyst did not change the password used to launch the report (Option C): Recurring analyses often use stored credentials. If the analyst updated their password but didn’t update the stored credentials for the analysis, the login would fail, making this the most likely reason.

The company is experiencing issues with password replication (Option D): This is possible but less likely without evidence of broader system issues.

The DA0-002 Data Governance domain includes "data privacy concepts," and ensuring stored credentials match updated passwords is a common issue in recurring analyses.