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CompTIA DA0-002 考試大綱：

主題	簡介
主題 1	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.
主題 2	5.0 Data Governance, Quality, and Controls
主題 3	Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.

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DA0-002最新考題，DA0-002題庫資訊

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最新的 CompTIA Data+ DA0-002 免費考試真題 (Q151-Q156):

問題 #151
A marketing firm wants to find the average age of its consumers to better promote its products.
Given the following dataset:

Which of the following is the mean of the consumer ages?

A. 0
B. 1
C. 2
D. 3

答案：A

問題 #152
Which of the following best enables the retrieval and manipulation of data that is stored in a relational database?

A. JavaScript
B. XML
C. Excel
D. SQL

答案：D

解題說明：
This question pertains to theData Concepts and Environmentsdomain, focusing on tools for interacting with relational databases. The task is to identify the best method for retrieving and manipulating data.
* XML (Option A): XML is a data format, not a language for retrieving or manipulating database data.
* SQL (Option B): SQL (Structured Query Language) is specifically designed for querying and manipulating data in relational databases (e.g., SELECT, UPDATE), making it the best choice.
* Excel (Option C): Excel can analyze data but isn't designed for direct database manipulation.
* JavaScript (Option D): JavaScript is a programming language for web development, not optimized for relational database operations.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases," and SQL is the standard language for relational database operations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

問題 #153
A data analyst is generating a custom report for a Chief Executive Officer's executive meeting.
Later, the analyst learns that other custom reports will be required for future executive meetings.
Which of the following delivery methods should the analyst use?

A. Real-time
B. Self-service
C. Ad hoc
D. Recurring

答案：D

問題 #154
The human resources department wants to know the number of employees who earn $125,000 or more. However, the department is concerned about duplicates in the data set. Given the following table:

Which of the following SQL statements resolves this issue?

A. SELECT DISTINCT Employee_ID FROM Employee WHERE Salary >= 125000
B. SELECT COUNT(DISTINCT Employee_ID) FROM Employee WHERE Salary >= 125000
C. SELECT DISTINCT Employee_ID FROM Employee WHERE Salary > 125000
D. SELECT COUNT(Employee_ID) FROM Employee WHERE Salary >= 125000

答案：B

解題說明：
Counting distinct employee IDs removes duplicates while still restricting the result to employees whose salary is at least $125,000, which returns the number of unique employees meeting the requirement.

問題 #155
A data analyst needs to get an accurate idea of how data components are automated. Which of the following types of documentation should the analyst review first?

A. Data flow diagram
B. Data lineage
C. Data explainability report
D. Data dictionary

答案：A

解題說明：
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.

問題 #156
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