A recent server migration applied an update to dataset naming conventions. Multiple users are now reporting stale information in an existing dashboard. The date in the dataset confirms a successful data refresh. Which of the following should a data analyst do first?
Correct Answer:A
This question falls under theData Governancedomain, focusing on troubleshooting data freshness issues in dashboards. The dashboard shows stale data despite a successful refresh, and the server migration updated naming conventions, suggesting a potential mismatch.
✑ Confirm the dashboard is pointed to the newest dataset (Option A): The server
migration updated dataset naming conventions, so the dashboard might still be pointing to an old dataset name, causing stale data. Confirming the dataset connection is the first step.
✑ Filter the data in the dashboard (Option B): Filtering might adjust the view but
doesn??t address the root cause of stale data.
✑ Escalate user permissions on the server (Option C): Permissions issues would likely prevent access, not cause stale data, especially since the dataset refreshed successfully.
✑ Verify that the dashboard subscription is not expired (Option D): An expired subscription might prevent access, but the dashboard is accessible, just showing stale data.
The DA0-002 Data Governance domain includes "data quality control concepts," such as ensuring dashboards connect to the correct, updated datasets after changes like server migrations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
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A data professional wants to identify all customers who made a purchase in January. Given the following table:
CustomerID Month Sales
0001
January 13000
0002
March 10000
0003
April 23000
0004
May 10000
Which of the following types of functions should the professional use to flag the customers?
Correct Answer:B
This question falls under theData Analysisdomain, focusing on selecting the appropriate function type to filter data in a query. The task is to flag customers who made a purchase in January, which involves a conditional check.
✑ Statistical (Option A): Statistical functions (e.g., AVG, STDEV) analyze data
distributions, not suitable for flagging specific months.
✑ Logical (Option B): Logical functions (e.g., WHERE Month = 'January' in SQL) are used to apply conditions and flag rows based on criteria, which fits the task.
✑ Mathematical (Option C): Mathematical functions (e.g., SUM, ROUND) perform calculations, not conditional flagging.
✑ Date (Option D): Date functions (e.g., MONTH()) manipulate dates, but the Month column is already in text format, so a logical comparison is sufficient.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and logical functions are best for conditional flagging.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
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A company reports on seven years of data in a sales dashboard. The dashboard pulls from a sales database that has 30 years of data. The dashboard performance is slow. Which of the following is the best way to improve the dashboard's performance?
Correct Answer:C
This question falls under theData Governancedomain, focusing on optimizing data quality and performance in dashboards. The dashboard is slow because it pulls from a large database (30 years) but only needs seven years of data.
✑ Performing a code review (Option A): A code review might identify inefficiencies,
but it??s not the most direct solution for this scenario.
✑ Checking network connectivity (Option B): Network issues might cause delays, but the primary issue is the data volume, not connectivity.
✑ Filtering to include only relevant data (Option C): Filtering the data to include only the last seven years reduces the dataset size, directly improving performance by minimizing the data processed.
✑ Adding more RAM and rerunning (Option D): Adding RAM might help, but it??s a hardware solution that doesn??t address the root cause of excessive data.
The DA0-002 Data Governance domain includes "data quality control concepts," such as optimizing performance by filtering data to improve efficiency.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
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A data analyst is following up on a recent, company-wide data audit of customer invoice data. Which of the following is the best option for the analyst to use?
Correct Answer:B
This question falls under theData Governancedomain of CompTIA Data+ DA0-002, which includes understanding compliance frameworks for data audits, especially for customer data. The scenario involves a data audit of customer invoice data, which likely contains personal information, making privacy regulations relevant.
✑ PCI DSS (Option A): PCI DSS (Payment Card Industry Data Security Standard)
applies specifically to payment card data, not general customer invoice data unless credit card details are involved, which isn??t specified.
✑ GDPR (Option B): GDPR (General Data Protection Regulation) is a
comprehensive privacy regulation for handling personal data of EU citizens, including customer invoice data, which may contain PII like names and addresses. It??s the most relevant for a company-wide data audit.
✑ ISO (Option C): ISO standards (e.g., ISO 27001) relate to information security
management but are not specific to customer data privacy audits.
✑ PII (Option D): PII (Personally Identifiable Information) is a concept, not a framework or tool for conducting an audit.
The DA0-002 Data Governance domain emphasizes "identifying PII and data privacy concepts," and GDPR is the most appropriate framework for auditing customer data to ensure compliance with privacy laws.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
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A manager wants a report that contains the days off for each direct report. The manager needs this report to always be up-to-date with the latest data. Which of the following describes the refresh frequency that the manager is requesting?
Correct Answer:A
This question pertains to theVisualization and Reportingdomain, focusing on report refresh frequencies. The manager needs the report to always be up-to-date, implying continuous data updates.
✑ Real-time (Option A): Real-time refresh frequency ensures the report reflects the
latest data as soon as it changes, which matches the requirement to "always be up-to-date."
✑ Ad hoc (Option B): Ad hoc reports are generated on-demand, not continuously
updated.
✑ Snapshot (Option C): A snapshot captures data at a specific point in time, not suitable for always being up-to-date.
✑ Dynamic (Option D): Dynamic reports allow interactivity, but the term doesn??t specifically imply real-time updates.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and real-time refresh frequency ensures the report is always current.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
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