CompTIA DA0-002퍼펙트덤프최신문제 & DA0-002적중율높은덤프자료

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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam (2025)
Exam Number:DA0-002
Certificate Validity Period:3 years
Available Languages:English
Related Certifications:CompTIA Data+
Exam Price:USD 255
Real Exam Qty:Up to 90
Exam Format:Multiple-choice, Performance-based
Exam Duration:90 minutes
Passing Score:720 (scale of 100–900)
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or at Pearson VUE authorized testing centers
Pre Condition:No formal prerequisites; recommended 18–24 months of experience in a report/business analyst role or equivalent knowledge
Official Syllabus URL:https://www.comptia.org/certifications/data

>> CompTIA DA0-002퍼펙트 덤프 최신문제 <<

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CompTIA DA0-002 시험요강:

주제소개
주제 1
  • This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
주제 2
  • Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.
주제 3
  • 5.0 Data Governance, Quality, and Controls
주제 4
  • Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
주제 5
  • Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.

최신 CompTIA Data+ DA0-002 무료샘플문제 (Q11-Q16):

질문 # 11
A data analyst learns that a report detailing employee sales is reflecting sales only for the current month. Which of the following is the most likely cause?

정답：D


질문 # 12
A manager requests a report that returns results based on a user's profile. Which of the following best describes this type of report?

정답：D

설명：
A dynamic report adjusts its output based on user-specific attributes or profiles, allowing different users to see customized results.


질문 # 13
A data analyst needs to derive a new field that flags sales within the month of January from the following sales table:

Which of the following types of functions should the analyst use to achieve the desired results?

정답：D

설명：
Logical functions evaluate conditions such as whether the month equals January and can be used to create a flag indicating records that meet this criterion.


질문 # 14
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?

정답：A

설명：
Numerical attributes are used for quantitative forecasting such as projected sales, while ordinal attributes represent ordered categories like customer satisfaction levels, making them appropriate for forecasting both types of outcomes.


질문 # 15
A business intelligence analyst is creating an employee retention dashboard that looks at data from the last five years. The analyst is interested in identifying patterns that can be studied further. Which of the following is the best method to apply to the dashboard?

정답：D

설명：
Descriptive analytics summarizes historical data to identify trends, patterns, and relationships.
Since the analyst is examining employee retention data from the last five years to discover patterns for further study, descriptive analytics is the most appropriate method.


질문 # 16
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