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CompTIA Data+ Exam (2025) Sample Questions (Q86-Q91):
NEW QUESTION # 86
A data analyst receives a new data source that contains employee IDs, job titles, dates of birth, addresses, years of service, and employees' birth months. Which of the following inconsistencies should the analyst identify?
- A. Redundancy
- B. Parallel
- C. Equivalence
- D. Duplication
Answer: A
Explanation:
This question falls under theData Governancedomain, focusing on identifying data quality issues. The dataset includes dates of birth and birth months, which suggests a potential inconsistency.
* Redundancy (Option A): The dataset includes both dates of birth (e.g., 1990-05-15) and birth months (e.g., May), which is redundant because the birth month can be derived from the date of birth, indicating a data quality issue.
* Equivalence (Option B): Equivalence isn't a standard data quality term in this context; it might refer to data matching, which isn't the issue here.
* Parallel (Option C): Parallel isn't a recognized data quality term; it might relate to processing, not data inconsistencies.
* Duplication (Option D): Duplication refers to identical records, but the issue here is redundant fields, not duplicate rows.
The DA0-002 Data Governance domain includes "data quality control concepts," and redundancy is a key inconsistency when the same information is stored in multiple forms unnecessarily.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 87
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?
- A. Mathematical
- B. Logical
- C. Statistical
- D. Date
Answer: B
Explanation:
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.
NEW QUESTION # 88
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?
- A. Evaluate the KPIs for the dashboards.
- B. Determine the number of team members who need to access the dashboards.
- C. Determine the delivery method of the dashboards.
- D. Evaluate the user persona type for the dashboards.
Answer: D
Explanation:
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.
NEW QUESTION # 89
A data analyst is creating a pivot table for a large dataset for an upcoming board meeting. Which of the following is the purpose of the pivot table?
- A. To retrieve and clean data from several sources
- B. To summarize and analyze the data
- C. To visualize the data in a dashboard
- D. To organize the data for reporting
Answer: B
Explanation:
This question pertains to theData Analysisdomain, focusing on the purpose of a pivot table. Pivot tables are a tool for summarizing and analyzing data, often used in preparation for reporting.
* To visualize the data in a dashboard (Option A): Pivot tables summarize data but aren' tvisualizations; charts in dashboards might be created from pivot tables.
* To retrieve and clean data from several sources (Option B): Retrieving and cleaning data is part of data preparation, not the purpose of a pivot table.
* To summarize and analyze the data (Option C): Pivot tables aggregate and summarize data (e.g., by calculating sums, averages) and allow for analysis (e.g., filtering, grouping), which is their primary purpose.
* To organize the data for reporting (Option D): While pivot tables can help organize data, their main purpose is summarization and analysis, not just organization.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and pivot tables are a key tool for summarizing and analyzing large datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 90
A manager wants to use the information in a recurring report on incomplete timesheets for the prior month to guide employee outreach. Which of the following report types is the best for this task?
- A. Ad hoc
- B. Infographic
- C. Snapshot
- D. Summary
Answer: D
Explanation:
This question is part of theVisualization and Reportingdomain, 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.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting
NEW QUESTION # 91
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