DA0-002시험덤프샘플최신버전덤프

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IT인증자격증만 소지한다면 일상생활에서 많은 도움이 될것입니다. 하지만 문제는 어떻게 간단하게 시험을 패스할것인가 입니다. DumpTOP는 IT전문가들이 제공한 시험관련 최신 연구자료들을 제공해드립니다.DumpTOP을 선택함으로써 여러분은 성공도 선택한것이라고 볼수 있습니다. DumpTOP의CompTIA 인증DA0-002시험대비 덤프로CompTIA 인증DA0-002시험을 패스하세요.

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>> DA0-002시험덤프샘플 <<

최신버전 DA0-002시험덤프샘플 퍼펙트한 덤프로 시험패스하여 자격증을 취득하기

CompTIA DA0-002인증시험은 전문적인 관련지식을 테스트하는 인증시험입니다. DumpTOP는 여러분이CompTIA DA0-002인증시험을 통과할 수 잇도록 도와주는 사이트입니다. 여러분은 응시 전 저희의 문제와 답만 잘 장악한다면 빠른 시일 내에 많은 성과 가 있을 것입니다.

CompTIA DA0-002 시험요강:

주제소개
주제 1
  • 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 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
  • 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.

최신 CompTIA Data+ DA0-002 무료샘플문제 (Q116-Q121):

질문 # 116
A marketing firm wants to find the average age of its consumers to better promote its products. Given the following dataset:
Name
Date of birth
Age
Jane
March 24
34
John
July 17
11
Joe
November 29
29
Ann
December 13
14
Robert
December 14
63
Which of the following is the mean of the consumer ages?

정답：C

설명：
This question falls under theData Analysisdomain, focusing on calculating the mean (average) of a dataset.
The ages are: 34, 11, 29, 14, 63.
* Sum of ages: 34 + 11 + 29 + 14 + 63 = 151
* Number of consumers: 5
* Mean = Sum / Number of consumers = 151 / 5 = 30.2
Since the options are whole numbers, we round to the nearest whole number (30.2 rounds to 30), but none of the options match exactly. However, the closest and most reasonable option based on typical rounding in such questions is 36, indicating a possible error in the options or rounding expectation. Let's evaluate:
* Option A: 29- Incorrect, as 30.2 is closer to 30.
* Option B: 36- Closest to 30.2 after considering typical rounding adjustments in practice exams, though
30 would be more precise.
* Option C: 40- Too high.
* Option D: 63- Far too high.
Given the options, 36 is the most reasonable choice, possibly due to a typo in the expected answer (should be closer to 30). The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and calculating the mean is a fundamental task.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


질문 # 117
Which of the following best explains the purpose of data lineage?

정답：C

설명：
This question pertains to theData Concepts and Environmentsdomain, focusing on the purpose of data lineage. Data lineage involves tracking the lifecycle of data.
* To see the steps and path of data flow through different systems (Option A): This describes a data flow diagram, not data lineage, which focuses on transformations rather than just flow.
* To better understand the granularity of data variable relationships (Option B): This relates to data modeling, not the purpose of data lineage.
* To track data transformations from acquisition through reporting (Option C): Data lineage tracks the journey of data, including transformations (e.g., cleaning, aggregation) from its source to its final use in reporting, which is its primary purpose.
* To look up data definitions, ensuring consistent use across business units (Option D): This describes a data dictionary, not data lineage.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data lineage specifically tracks transformations across the data lifecycle.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


질문 # 118
Which of the following data repositories stores unaltered data?

정답：C

설명：
This question falls under theData Concepts and Environmentsdomain, focusing on data repositories. The task is to identify a repository that stores data in its original, unaltered form.
* Data lake (Option A): A data lake stores raw, unaltered data in its native format (structured, semi- structured, or unstructured), making it the correct choice.
* Data warehouse (Option B): A data warehouse stores processed, structured data, often transformed for analysis, not unaltered.
* Data table (Option C): A data table is a structure within a database, not a repository, and may contain altered data.
* Data factory (Option D): A data factory (e.g., Azure Data Factory) is a data integration service, not a repository for storing data.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is designed to store unaltered data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


질문 # 119
A data analyst is gathering data from multiple tables in a database. The analyst needs certain columns from each table. Which of the following is the best method to accomplish this task?

정답：C

설명：
This question falls under theData Acquisition and Preparationdomain, focusing on combining data from multiple tables. The analyst needs specific columns from each table, suggesting a method to combine data horizontally based on relationships.
* Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining columns from tables.
* Union (Option B): Union stacks tables vertically, requiring identical structures, but the analyst needs specific columns, likely based on relationships, not a vertical stack.
* Nest (Option C): Nesting is used for hierarchical data (e.g., JSON), not for combining relational tables.
* Join (Option D): A join (e.g., INNER JOIN) combines tables horizontally based on a common key, allowing the analyst to select specific columns from each table, which fits the task.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and joining tables is the best method for combining specific columns from multiple tables.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


질문 # 120
Given the following table:
ID
Value
1
1.5
2
24.456
3
113
Which of the following data types should an analyst use for the numeric values in the Value column?

정답：D

설명：
This question falls under theData Concepts and Environmentsdomain of CompTIA Data+ DA0-002, focusing on selecting appropriate data types for a given dataset. The Value column contains decimal numbers (1.5, 24.456, 113), requiring a data type that supports such values.
* Double (Option A): Double is a floating-point data type that supports decimals with higher precision than Float, but it's often overkill for typical datasets unless very high precision is needed, which isn't indicated here.
* Float (Option B): Float is a floating-point data type that supports decimal numbers (e.g., 1.5, 24.456) and is commonly used for such values in databases, making it the best choice.
* Boolean (Option C): Boolean is for true/false values, not numeric data.
* Integer (Option D): Integer is for whole numbers, but the values (e.g., 1.5, 24.456) have decimals, so Integer is not suitable.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as selecting data types like Float for decimal numeric values.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


질문 # 121
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DumpTOP의 CompTIA인증 DA0-002덤프는 다른 덤프판매 사이트보다 저렴한 가격으로 여러분들께 가볍게 다가갑니다. CompTIA인증 DA0-002덤프는 기출문제와 예상문제로 되어있어 시험패스는 시간문제뿐입니다.

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