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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
  • 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.
主題 3
  • 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.

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最新的 CompTIA Data+ DA0-002 免費考試真題 (Q100-Q105):

問題 #100
A report was previously working but now gives the following error:
The column FullName is invalid or does not exist.
Which of the following actions should a data analyst take to investigate the issue?

答案:A

解題說明:
Querying the table allows the analyst to verify the current schema and confirm whether the column exists or has been renamed or removed, directly addressing the cause of the error.


問題 #101
A data analyst is creating a report that shows the major of each student at the university. The first character of the CategoryCD from the Students table is used to determine the major. Given the following tables:

Which of the following steps should the analyst take first?

答案:A

解題說明:
The first step is to use a string function to extract the first character from the CategoryCD field in the Students table. This extracted value (A, B, or C) can then be matched to the corresponding MajorCD in the Majors table to determine each student's major.


問題 #102
Which of the following is found in metadata?

答案:D

解題說明:
Data lineage describes the origin, movement, and transformation history of data, which is a key component of metadata used to understand how data is created and used.


問題 #103
Given the following tables:

Which of the following data privacy practices is being used to protect employees' email addresses when creating a report?

答案:B

解題說明:
Masking hides sensitive data by replacing portions of the original value with obscured characters, such as replacing email addresses with "xxxxx@company.com" while preserving the format.


問題 #104
A data analyst receives a flat file that includes dates. The analyst needs to calculate the number of days from the dates on the file to the current date. Which of the following is the best way to complete this task?

答案:C

解題說明:
Date values must be in a proper date format to perform accurate calculations, so converting the data and then applying date functions enables correct computation of the number of days between dates.


問題 #105
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