매달, 우리는 1000명 이상의 사람들이 시험 준비를 잘하고 시험을 잘 통과할 수 있도록 도와줍니다.
CompTIA Data+ Exam (2025) 온라인 연습
최종 업데이트 시간: 2026년05월15일
당신은 온라인 연습 문제를 통해 CompTIA DA0-002 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 DA0-002 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 121개의 시험 문제와 답을 포함하십시오.
정답:
Explanation:
This question pertains to the Data Governance domain, focusing on ensuring data quality and reliability in dashboards over time. Daily troubleshooting indicates a recurring issue, and the task is to validate data moving forward.
Inquiring about structure changes (Option A): This might identify past issues but doesn’t provide ongoing validation.
Setting up monitoring alerts (Option B): Monitoring alerts can automatically notify the analyst of data issues (e.g., missing updates, errors), providing a proactive way to validate data continuously.
Reaching out to users daily (Option C): This is inefficient and reactive, not a sustainable validation method.
Rebuilding the dashboard (Option D): Rebuilding might fix current issues but doesn’t ensure future validation.
The DA0-002 Data Governance domain includes "data quality control concepts," such as implementing monitoring to ensure data reliability in dashboards.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
정답:
Explanation:
This question falls under the Data Analysis domain, focusing on SQL logical functions for query evaluation. The task is to evaluate "all conditions," implying multiple conditions must be true together.
OR (Option A): OR returns true if any condition is true, not ensuring all conditions are met.
NOT (Option B): NOT negates a condition, not suitable for combining multiple conditions.
AND (Option C): AND requires all conditions to be true, which aligns with evaluating "all conditions" in a query.
IF (Option D): IF is a conditional function for decision-making, not for evaluating multiple conditions together.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and AND is the best logical function for ensuring all conditions are met.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
정답:
Explanation:
This question pertains to the Data Concepts and Environments domain, focusing on selecting the appropriate repository for structured data across an entire company. The requirement for a predefined structure narrows the options.
Data mart (Option A): A data mart stores structured data for a specific business area (e.g., sales), not the whole company.
Data warehouse (Option B): A data warehouse is designed to store structured data from across the entire company in a predefined schema, optimized for analytics and reporting.
Data silo (Option C): A data silo is an isolated repository, often structured, but not designed for company-wide integration.
Data lake (Option D): A data lake stores raw data (structured and unstructured) without a predefined structure, not suitable for this requirement.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data warehouse is ideal for company-wide structured data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
정답:
Explanation:
This question falls under the Data Governance domain, focusing on data breach response protocols.
A data breach requires a structured response to comply with legal and regulatory requirements.
Make an announcement on social media so customers are aware as soon as possible (Option A): Public announcement without internal coordination or regulatory notification can lead to legal issues and loss of trust.
Tell the company management team and then tell regulatory agencies (Option B): This follows best practices: inform internal leadership to coordinate a response, then notify regulatory agencies as required by laws (e.g., GDPR mandates notification within 72 hours).
Keep the incident a secret until the issue is resolved (Option C): This violates regulations requiring timely breach notification.
Inform the entire IT sector, but ask for discretion (Option D): Sharing with the IT sector is vague and risks leaks; regulatory agencies should be prioritized.
The DA0-002 Data Governance domain includes "data privacy concepts," such as proper breach response procedures, emphasizing internal and regulatory notification.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
정답:
Explanation:
This question pertains to the Visualization and Reporting domain, focusing on report delivery methods. The requirement for delivery every seven days indicates a scheduled, repeating process.
Recurring (Option A): Recurring delivery schedules reports to be generated and delivered at regular intervals (e.g., weekly), which matches the requirement of every seven days.
Ad hoc (Option B): Ad hoc reports are one-time, on-demand reports, not suitable for scheduled delivery.
Custom (Option C): Custom isn’t a standard delivery method; it might refer to tailored reports but doesn’t imply scheduling.
Snapshot (Option D): A snapshot captures data at a specific point, not suitable for recurring delivery.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and recurring delivery is ideal for weekly reports.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
정답:
Explanation:
This question falls under the Data Analysis domain, focusing on identifying data quality issues. The table shows counts over time, and the analyst needs to flag an issue in the data.
Completeness (Option A): Completeness refers to missing data, but all rows have values for DateTime and Count.
Outlier (Option B): The count of 245 on 2024-01-02 is significantly higher than other counts (12-13), indicating an outlier that should be investigated for accuracy.
Mismatch (Option C): Mismatch implies inconsistent data types or formats, but the DateTime and Count columns appear consistent except for the last row (addressed separately).
Duplication (Option D): Duplication refers to identical rows, but no rows are identical (same DateTime and Count).
The last row ("00:00:00", 12) has a formatting issue, but the most significant issue for analysis is the outlier (245), as it could skew results. The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as identifying outliers in datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
정답:
Explanation:
This question pertains to the Visualization and Reporting domain, focusing on the process of building a reporting deck. After meeting requirements (tracking metrics, visualizing data, and row-level security), the next step involves validation with stakeholders.
Show a mock-up to the team (Option A): Creating a mock-up and presenting it to the team ensures alignment on design and functionality before finalizing, which is a standard next step in report development.
Explain the desired level of reporting detail (Option B): This should have been done earlier during requirements gathering, not after meeting them.
Present an analysis of the data (Option C): Data analysis might inform the deck, but the task focuses on building the deck, not presenting analysis.
Find out the project due date (Option D): The due date should have been established earlier in the project planning phase.
The DA0-002 Visualization and Reporting domain includes "translating business requirements to form the appropriate visualization," and showing a mock-up ensures the reporting deck meets stakeholder expectations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
정답:
Explanation:
This question falls under the Data Analysis domain, focusing on troubleshooting issues in data reports. The report should show all employee sales but is limited to the current month, suggesting a data retrieval issue.
Lack of permissions (Option A): Permissions issues would likely prevent access entirely, not limit data to the current month.
An error in SQL code (Option B): The report likely uses an SQL query to retrieve data, and an error (e.g., a WHERE clause filtering for the current month) could restrict the data to the current month, making this the most likely cause.
Report refresh failure (Option C): A refresh failure would result in outdated data, not specifically current-month data.
Connectivity issues (Option D): Connectivity issues would likely prevent the report from running, not limit it to a specific time frame.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and errors in SQL code are a common cause of incorrect data retrieval in reports.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
정답:
Explanation:
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.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
정답:
Explanation:
This question falls under the Data Concepts and Environments domain of CompTIA Data+ DA0-002,
which involves understanding different types of data repositories and their characteristics. The task is to identify a repository that can store both unstructured and structured data.
Data store (Option A): A data store is a general term for any data repository, but it’s not specific enough to confirm it stores both unstructured and structured data.
Data silo (Option B): A data silo is an isolated data repository, often structured, and not typically designed for unstructured data.
Data mart (Option C): A data mart is a subset of a data warehouse, focused on structured data for specific business areas, not unstructured data.
Data lake (Option D): A data lake is a centralized repository that stores raw data in its native format, including both structured (e.g., tables) and unstructured (e.g., text, images) data, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is specifically designed to handle both unstructured and structured data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
정답:
Explanation:
This question falls under the Data Acquisition and Preparation domain, focusing on combining tables to produce a dataset. The task requires combining the Courses and Students tables to include student
names with course details, based on the StudentID.
Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining tables to include names.
Join (Option B): A join operation (e.g., INNER JOIN on StudentID) combines the tables, matching records to produce the requested output with CourseID, SectionNumber, StudentID, FirstName, and LastName.
Group (Option C): Grouping is used for aggregation (e.g., GROUP BY in SQL), not for combining tables.
Filter (Option D): Filtering selects specific rows, not relevant for combining tables.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as joining tables to create a unified dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
정답:
Explanation:
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.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
정답:
Explanation:
This question falls under the Data Analysis domain, focusing on SQL queries to identify data issues.
The task is to find records with empty fields, which in SQL means NULL values.
WHERE [ColumnName] = NULL (Option A): In SQL, NULL cannot be compared using "="; this syntax is incorrect.
WHERE [ColumnName] IS NULL (Option B): This is the correct SQL syntax to identify NULL values, which represent empty fields.
WHERE [ColumnName] IS NOT NULL (Option C): This finds non-empty fields, the opposite of the requirement.
WHERE [ColumnName] = 'NULL' (Option D): This checks for the string "NULL," not a true NULL value, which is incorrect.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," such as identifying NULL values with IS NULL.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
정답:
Explanation:
This question pertains to the Visualization and Reporting domain, focusing on dashboard design for specific audiences. Internal technical audiences (e.g., data analysts, IT staff) need actionable, data-driven insights.
Methodology section (Option A): Methodology is important for research reports, not dashboards, especially for technical audiences who prioritize data.
Dynamic features (Option B): Dynamic features (e.g., interactivity) are useful but not the most critical element for technical audiences.
Key performance indicators (Option C): KPIs provide critical metrics (e.g., system uptime, error rates) that technical audiences need to monitor and act on, making this the most important element.
Company branding (Option D): Branding is more relevant for external audiences, not internal technical ones.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and KPIs are essential for technical dashboards.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
정답:
Explanation:
This question falls under the Data Analysis domain, 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.